Acessibilidade / Reportar erro

Pulse oximetry test for screening congenital heart diseases: a systematic review

Prueba de oximetría de pulso para el screening de cardiopatías congénitas: revisión sistemática

ABSTRACT

Objective:

To determine the accuracy of the Pulse Oximetry Test (POT) in screening for Congenital Heart Diseases (CHD) in newborns in the first 48 hours of life.

Method:

Systematic review of diagnostic test accuracy with meta-analysis. The selection of studies was carried out in June 2021. Studies were selected with newborns, in a hospital or home environment, without a previous diagnosis of CHD, regardless of gestational age at birth, who underwent POT within the first 48 hours after birth. Registration on the PROSPERO platform – CRD42021256286.

Results:

Twenty-nine studies were included, totaling a population of 388,491 newborns. POT demonstrated sensitivity of 47% (95% CI: 43% to 50%) and specificity of 98% (95% CI: 98% to 98%). Subgroup analyses were carried out according to the different testing period, inclusion of retests in protocols and population of premature newborns.

Conclusion:

POT is a test with moderate sensitivity and high specificity. It is more effective when carried out within 24h – 48h of birth; in protocols that present retests, within two hours after the first measurement. It does not show satisfactory effectiveness for premature newborns.

DESCRIPTORS
Oximetry; Infant, Newborn; Heart Defects, Congenital; Pediatrics; Systematic Review

RESUMEN

Objetivo:

Determinar la precisión de la Prueba de Oximetría de Pulso (POT) en el screening de Cardiopatías Congénitas (CC) en recién nacidos en las primeras 48 horas de vida.

Método:

Revisión sistemática de la precisión de las pruebas diagnósticas con metanálisis. La selección de estudios se realizó en junio de 2021. Se seleccionaron estudios con recién nacidos, en ambiente hospitalario o domiciliario, sin diagnóstico previo de CC, independientemente de la edad gestacional al nacer, a quienes se les realizó POT dentro de las primeras 48 horas después del nacimiento. Registro en la plataforma PROSPERO – CRD42021256286.

Resultados:

Se incluyeron 29 estudios, totalizando una población de 388.491 recién nacidos. POT demostró una sensibilidad del 47% (IC del 95%: 43% al 50%) y una especificidad del 98% (IC del 95%: 98% al 98%). Se realizaron análisis de subgrupos según los diferentes períodos de prueba, la inclusión de repruebas en los protocolos y la población de recién nacidos prematuros.

Conclusión:

POT es una prueba con sensibilidad moderada y especificidad alta. Es más eficaz cuando se realiza entre las 24 y 48 horas siguientes al nacimiento; en protocolos que presenten repruebas, dentro de las dos horas posteriores a la primera medición. No muestra una eficacia satisfactoria para los recién nacidos prematuros

DESCRIPTORES
Oximetría; Recién Nacido; Cardiopatías Congénitas; Pediatría; Revisión Sistemática

RESUMO

Objetivo:

Determinar a acurácia do Teste de Oximetria de Pulso (TOP) na triagem de Cardiopatias Congênitas (CC) em recém-nascidos nas primeiras 48 horas de vida.

Método:

Revisão sistemática de acurácia de teste diagnóstico com metanálise. A seleção dos estudos foi realizada em junho de 2021. Foram selecionados estudos com recém-nascidos, em ambiente hospitalar ou domiciliar, sem o diagnóstico prévio de CC, independentemente da idade gestacional ao nascimento, que realizaram o TOP entre as primeiras 48h após o nascimento. Registro na plataforma PROSPERO – CRD42021256286.

Resultados:

Foram incluídos 29 estudos, somando uma população total de 388.491 recém-nascidos. O TOP demonstrou sensibilidade de 47% (IC 95%: 43% a 50%) e especificidade de 98% (IC 95%: 98% a 98%). Foram realizadas análises dos subgrupos conforme período de realização do teste diferente, inclusão de retestes nos protocolos e população de recém-nascidos prematuros.

Conclusão:

O TOP é um teste de moderada sensibilidade e alta especificidade. Apresenta maior efetividade quando realizado no intervalo entre 24h – 48h do nascimento; em protocolos que apresentem retestes, em até duas horas após a primeira medida. Não apresenta efetividade satisfatória para recém-nascidos prematuros.

DESCRITORES
Oximetria; Recém-Nascido; Cardiopatias Congênitas; Pediatria; Revisão Sistemática

INTRODUCTION

Congenital heart diseases (CHD) are defined as abnormalities in cardiocirculatory structure or function during embryonic development. CHDs affect 0.8% of all live births and correspond to the second leading cause of death in children under five years of age. For every ten children with CHD, six are diagnosed late, which causes significant morbidity and mortality. Factors such as gestational age at birth, maternal age, and newborn weight also impact the survival rate(11. Balasubramanian R, Vuppalapati S, Avanthika C, Jhaveri S, Peddi NC, Ahmed S, et al. Epidemiology, genetics and epigenetics of congenital heart diseases in twins. Cureus. 2021;13(8):e17253. doi: http://dx.doi.org/10.7759/cureus.17253. PubMed PMID: 34540478.
https://doi.org/10.7759/cureus.17253...
,22. Song J, Huang X, Zhao S, Chen J, Chen R, Wu G, et al. Diagnostic value of pulse oximetry combined with cardiac auscultation in screening congenital heart disease in neonates. J Int Med Res. 2021;49(5):1–10. doi: http://dx.doi.org/10.1177/03000605211016137. PubMed PMID: 34044642.
https://doi.org/10.1177/0300060521101613...
). From 1990 to 2017 there was a 4.2% increase in the prevalence of births with CHD(33. Zimmerman MS, Smith AGC, Sable CA, Echko MM, Wilner LB, Olsen HE, et al. Global Burden of Disease, Congenital Heart Disease Collaborators. Global, regional, and national burden of congenital heart disease, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet Child Adolesc Health. 2020;4(3):185–200. doi: http://dx.doi.org/10.1016/S2352-4642(19)30402-X. PubMed PMID: 31978374.
https://doi.org/10.1016/S2352-4642(19)30...
).

Globally, 12 million people live with CHD, resulting in approximately 600,000 years lived with disability, according to a recent global report. CHD is among the seven main causes of child death and 2nd among middle and high-income countries(44. Botto LD. From cause to care: can a triple approach to better population data improve the global outlook of congenital heart disease? Am J Med Genet C Semin Med Genet. 2020;184(1):23–35. doi: http://dx.doi.org/10.1002/ajmg.c.31775. PubMed PMID: 32083404.
https://doi.org/10.1002/ajmg.c.31775...
). Approximately 25% of deaths from congenital anomalies are caused by CHD(33. Zimmerman MS, Smith AGC, Sable CA, Echko MM, Wilner LB, Olsen HE, et al. Global Burden of Disease, Congenital Heart Disease Collaborators. Global, regional, and national burden of congenital heart disease, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet Child Adolesc Health. 2020;4(3):185–200. doi: http://dx.doi.org/10.1016/S2352-4642(19)30402-X. PubMed PMID: 31978374.
https://doi.org/10.1016/S2352-4642(19)30...
). In 2017, CHD caused around 260,000 deaths, of which almost 70% (180,000 deaths) were of children under one year of age(44. Botto LD. From cause to care: can a triple approach to better population data improve the global outlook of congenital heart disease? Am J Med Genet C Semin Med Genet. 2020;184(1):23–35. doi: http://dx.doi.org/10.1002/ajmg.c.31775. PubMed PMID: 32083404.
https://doi.org/10.1002/ajmg.c.31775...
).

The literature indicates that diagnoses made during prenatal care have increased, allowing birth planning in a specialized reference center(55. Murni IK, Wirawan MT, Patmasari L, Sativa ER, Arafuri N, Nugroho S, et al. Delayed diagnosis in children with congenital heart disease: a mixed-method study. BMC Pediatr. 2021;21(1):191. doi: http://dx.doi.org/10.1186/s12887-021-02667-3. PubMed PMID: 33882901.
https://doi.org/10.1186/s12887-021-02667...
). However, the birth of a newborn and discharge from hospital without a diagnosis of CHD is still common, with a rate of 30%. Thus, the POT issue for screening critical congenital heart diseases, which require surgical treatment in the first year of life, is relevant, given the importance of diagnosis before hospital discharge for morbidity and mortality outcomes, patient and family quality of life(55. Murni IK, Wirawan MT, Patmasari L, Sativa ER, Arafuri N, Nugroho S, et al. Delayed diagnosis in children with congenital heart disease: a mixed-method study. BMC Pediatr. 2021;21(1):191. doi: http://dx.doi.org/10.1186/s12887-021-02667-3. PubMed PMID: 33882901.
https://doi.org/10.1186/s12887-021-02667...
,66. Brasil, Ministério da Saúde. Nota Técnica nº 18/2021. Orientações para profissionais de saúde quanto à sistematização e padronização do teste de triagem neonatal para Cardiopatia Congênita Crítica (Teste do Coraçãozinho) [Internet]. Diário Oficial da União; Brasília; 2021 [cited 2023 Apr 4]. Available from: https://egestorab.saude.gov.br/image/?file=20211129_I_notatecnica18cardiopatiacongenita_3941354402197404449.pdf.
https://egestorab.saude.gov.br/image/?fi...
).

It is also considered that even though it is implemented in the health system of some countries, including Brazil, challenges are still identified for its implementation and interpretation at a global level, such as the (un)preparedness of the health system, with a focus on infrastructure and in human resources trained to deal with positive cases; there are also divergences regarding recommendations, a fact that affects false-positive results(55. Murni IK, Wirawan MT, Patmasari L, Sativa ER, Arafuri N, Nugroho S, et al. Delayed diagnosis in children with congenital heart disease: a mixed-method study. BMC Pediatr. 2021;21(1):191. doi: http://dx.doi.org/10.1186/s12887-021-02667-3. PubMed PMID: 33882901.
https://doi.org/10.1186/s12887-021-02667...
,66. Brasil, Ministério da Saúde. Nota Técnica nº 18/2021. Orientações para profissionais de saúde quanto à sistematização e padronização do teste de triagem neonatal para Cardiopatia Congênita Crítica (Teste do Coraçãozinho) [Internet]. Diário Oficial da União; Brasília; 2021 [cited 2023 Apr 4]. Available from: https://egestorab.saude.gov.br/image/?file=20211129_I_notatecnica18cardiopatiacongenita_3941354402197404449.pdf.
https://egestorab.saude.gov.br/image/?fi...
). Thus, CHDs remain a priority for public health actions.

The Brazilian reality shows that although Neonatal Screening is legally required, according to the guidelines of the Ministry of Health(77. Sociedade Brasileira de Pediatria, Departamento Científico de Cardiologia e Neonatologia. Sistematização do atendimento ao recém-nascido com suspeita ou diagnóstico de cardiopatia congênita. São Paulo: SPSP; 2022.), and consists of carrying out five tests in the first 48 hours of the newborn’s life (Pulse Oximetry, Red Reflex Test, Hearing Screening, Tongue Test, and Heel Prick Test), full coverage is not achieved in the ideal period. According to a Brazilian capital cutout, 36.6% of the sample had access to the five recommended tests. Among the tests, the Heel Prick Test, the Red Reflex and Heart Test (Pulse Oximetry) reached more than 90% of the studied population, considering the first 28 days of life(88. Brasil, Ministério da Saúde, Secretaria de Atenção Primária à Saúde. Portaria nº 20, de 10 de junho de 2014. Torna pública a decisão de incorporar a oximetria de pulso – teste do coraçãozinho, a ser realizado de forma universal, fazendo parte da triagem Neonatal no Sistema Único de Saúde – SUS [Internet]. Diário Oficial da União; Brasília; 2021 [cited 2023 Apr 4]. Available from: https://bvsms.saude.gov.br/bvs/saudelegis/sctie/2014/prt0020_10_06_2014.html.
https://bvsms.saude.gov.br/bvs/saudelegi...
).

The promotion of Neonatal Screening with POT is considered a strategy to potentially increase CHD detection at birth, for care and for epidemiological surveillance(44. Botto LD. From cause to care: can a triple approach to better population data improve the global outlook of congenital heart disease? Am J Med Genet C Semin Med Genet. 2020;184(1):23–35. doi: http://dx.doi.org/10.1002/ajmg.c.31775. PubMed PMID: 32083404.
https://doi.org/10.1002/ajmg.c.31775...
). Despite the great advances in the subject of Neonatal Screening, such as the expansion of identified diseases(99. Pinheiro JMF, Flor TBM, Marinho CSR, Pires VCC, Oliveira LIC, Bezerra MRO, et al. Prevalence of the five newborn screening tests. PLoS One. 2021;16(9):e0257282. doi: http://dx.doi.org/10.1371/journal.pone.0257282. PubMed PMID: 34516590.
https://doi.org/10.1371/journal.pone.025...
) and the incorporation of the specific database for the program(1010. Brasil, Ministério da Saúde. Portaria nº 187, de 3 de fevereiro de 2020. Dispõe sobre a Base de Dados do Programa Nacional de Triagem Neonatal [Internet]. Diário Oficial da União; Brasília; 3 fev. 2020 [cited 2023 Apr 4]. Available from: https://brasilsus.com.br/index.php/pdf/portaria-no-187.
https://brasilsus.com.br/index.php/pdf/p...
), improvements are still needed regarding health policies, aiming at comprehensive, safe, quality and cost-effective care, considering, for this purpose, that the Brazilian health scenario has a universal health system, the Brazilian Public Health System, called Sistema Único de Saúde (SUS).

Current debates are still necessary regarding the POT flowchart, especially the period during which the test is carried out (before 24 hours or after), considering the hospital discharge of the postpartum woman and newborn, and the interval between additional measures, in suspected cases. The POT protocol in force in Brazil since 2013 is carried out on newborns over 34 weeks, before hospital discharge, between 24 and 48 hours of life, with a retest every 1 hour if the first oximetry indicates a value <95% or a difference that is equal to or higher than 3% between the measurement of the right upper limb and the lower limb. If the altered measurement persists during retesting, the newborn should be referred for an echocardiogram(66. Brasil, Ministério da Saúde. Nota Técnica nº 18/2021. Orientações para profissionais de saúde quanto à sistematização e padronização do teste de triagem neonatal para Cardiopatia Congênita Crítica (Teste do Coraçãozinho) [Internet]. Diário Oficial da União; Brasília; 2021 [cited 2023 Apr 4]. Available from: https://egestorab.saude.gov.br/image/?file=20211129_I_notatecnica18cardiopatiacongenita_3941354402197404449.pdf.
https://egestorab.saude.gov.br/image/?fi...
).

A recent study presented two significant changes to the POT flowchart, removing the greater than 3% difference between the upper and lower limbs, and performing only one additional measurement in an interval of one hour, instead of two, which implies a simplification in test interpretation(1111. Martin GR, Ewer AK, Gaviglio A, Hom LA, Saarinen A, Sontag M, et al. Updated strategies for pulse oximetry screening for critical congenital heart disease. Pediatrics. 2020;146(1):e20191650. doi: http://dx.doi.org/10.1542/peds.2019-1650. PubMed PMID: 32499387.
https://doi.org/10.1542/peds.2019-1650...
). On the other hand, a new national guideline changes to two additional measures at intervals of one hour each, justifying a reduction in the number of false positive cases(66. Brasil, Ministério da Saúde. Nota Técnica nº 18/2021. Orientações para profissionais de saúde quanto à sistematização e padronização do teste de triagem neonatal para Cardiopatia Congênita Crítica (Teste do Coraçãozinho) [Internet]. Diário Oficial da União; Brasília; 2021 [cited 2023 Apr 4]. Available from: https://egestorab.saude.gov.br/image/?file=20211129_I_notatecnica18cardiopatiacongenita_3941354402197404449.pdf.
https://egestorab.saude.gov.br/image/?fi...
).

The bibliographical survey prior to the development of this research is highlighted, on the PROSPERO platform, in the Cochrane Database of Systematic Reviews and JBI Evidence Synthesis databases, and identified studies that are similar to this review(1212. Plana MN, Zamora J, Suresh G, Fernandez-Pineda L, Thangaratinam S, Ewer AK. Pulse oximetry screening for critical congenital heart defects. Cochrane Database Syst Rev. 2018;3(3):CD011912. doi: http://dx.doi.org/10.1002/14651858.CD011912.pub2. PubMed PMID: 29494750.
https://doi.org/10.1002/14651858.CD01191...
, 1313. Thangaratinam S, Brown K, Zamora J, Khan KS, Ewer AK. Pulse oximetry screening for critical congenital heart defects in asymptomatic newborn babies: a systematic review and meta-analysis. Lancet. 2012;379(9835):2459–64. doi: http://dx.doi.org/10.1016/S0140-6736(12)60107-X. PubMed PMID: 22554860.
https://doi.org/10.1016/S0140-6736(12)60...
, 1414. Du C, Liu C, Liu G, Wang H. A meta-analysis about the screening role of pulse oximetry for congenital heart disease. BioMed Res Int. 2017;2017:2123918. doi: http://dx.doi.org/10.1155/2017/2123918. PubMed PMID: 29376068.
https://doi.org/10.1155/2017/2123918...
). However, this systematic review was maintained because it is different, given the four-year interval, considering the most recent publication and the inclusion of seven studies after that date, in addition to the inclusion of studies different from the other reviews. Furthermore, it differentiates itself by developing POT analysis in premature newborns and in the situation of deliveries/births at home, as suggested by a previous publication(1212. Plana MN, Zamora J, Suresh G, Fernandez-Pineda L, Thangaratinam S, Ewer AK. Pulse oximetry screening for critical congenital heart defects. Cochrane Database Syst Rev. 2018;3(3):CD011912. doi: http://dx.doi.org/10.1002/14651858.CD011912.pub2. PubMed PMID: 29494750.
https://doi.org/10.1002/14651858.CD01191...
). A meta-analysis was carried out in a subgroup according to the period in which the POT was carried out and the number of retests after the first measurement, whose outcomes were added by the researchers, in response to the need presented by recent publications(66. Brasil, Ministério da Saúde. Nota Técnica nº 18/2021. Orientações para profissionais de saúde quanto à sistematização e padronização do teste de triagem neonatal para Cardiopatia Congênita Crítica (Teste do Coraçãozinho) [Internet]. Diário Oficial da União; Brasília; 2021 [cited 2023 Apr 4]. Available from: https://egestorab.saude.gov.br/image/?file=20211129_I_notatecnica18cardiopatiacongenita_3941354402197404449.pdf.
https://egestorab.saude.gov.br/image/?fi...
,1111. Martin GR, Ewer AK, Gaviglio A, Hom LA, Saarinen A, Sontag M, et al. Updated strategies for pulse oximetry screening for critical congenital heart disease. Pediatrics. 2020;146(1):e20191650. doi: http://dx.doi.org/10.1542/peds.2019-1650. PubMed PMID: 32499387.
https://doi.org/10.1542/peds.2019-1650...
). For this reason, it is not described in the protocol for this review.

In this context, knowing the correct parameters and possible test changes guarantees better screening. This review aims to equip health professionals working in hospital and home contexts to make decisions about the use of POT aiming at the timely detection of CHD. The objective of this study is to determine the accuracy of the Pulse Oximetry Test to screen for congenital heart diseases in newborns in the first 48 hours of life.

METHOD

This is a systematic review of diagnostic test accuracy carried out following the JBI(1515. Campbell JM, Kulgar M, Ding S, Carmody DP, Hakonsen SJ, Jadotte YT, et al. Diagnostic test accuracy systematic reviews. In: Aromataris E, Munn Z, editors. JBI manual for evidence synthesis. Adelaide: JBI; 2020. Chapter 9. doi: http://dx.doi.org/10.46658/JBIMES-20-10.
https://doi.org/10.46658/JBIMES-20-10...
) and PRISM extension for Diagnostic Test Accuracy (DTA) Studies(1616. Salameh JP, Bossuyt PM, McGrath TA, Thombs BD, Hyde CJ, Macaskill P, et al. Preferred reporting items for systematic review and meta-analysis of diagnostic test accuracy studies (PRISMA-DTA) explanation, elaboration, and checklist. BMJ. 2020;370:m2632. doi: http://dx.doi.org/10.1136/bmj.m2632. PubMed PMID: 32816740.
https://doi.org/10.1136/bmj.m2632...
) recommendations. The Protocol is registered on the PROSPERO platform under the number CRD42021256286 and published in a journal(1717. Saganski GF, Freire MHS, dos Santos WM. Accuracy of pulse oximetry for screening congenital heart disease: systematic review protocol. Online Braz J Nurs. 2022;21(1). doi: http://dx.doi.org/10.17665/1676-4285.20226610.
https://doi.org/10.17665/1676-4285.20226...
).

The systematic review of diagnostic test accuracy uses the PIRD mnemonic to construct the research question, where P – population, I – Index test, R – Reference test, D – diagnosis of interest(1515. Campbell JM, Kulgar M, Ding S, Carmody DP, Hakonsen SJ, Jadotte YT, et al. Diagnostic test accuracy systematic reviews. In: Aromataris E, Munn Z, editors. JBI manual for evidence synthesis. Adelaide: JBI; 2020. Chapter 9. doi: http://dx.doi.org/10.46658/JBIMES-20-10.
https://doi.org/10.46658/JBIMES-20-10...
). This review had the following research question: “What is the diagnostic accuracy of pulse oximetry for neonatal screening of congenital heart diseases in newborns?”

Data Sources and Research Strategy

The search was carried out in June 2021 using a search strategy developed with the support of a professional librarian, using indexed descriptors and keywords. The following MESH descriptors related to population, diagnosis of interest and index test were used: infant; newborn; neonate; neonatal; premature; preterm; oximetry; pulse oximetry; pulse oximetry screening; heart defects; congenital; abnormality; heart; congenital heart defects; malformation of heart; congenital heart disease; and, malformation. These were associated with Boolean operators (OR and AND) to develop the strategies (Chart S1 Supplementary Material The following online material is available for this article: Chart S1 – Search strategies for the databases used – Curitiba, PR, Brazil, 2023. Chart S2 – Data collection instrument according to identification of studies with false positive, false negative, true positive and true negative value – Curitiba, PR, Brazil, 2023. Figure S1 – Forest graph demonstrating the results of the sensitivity meta-analysis of studies addressing POT between 24 and 48 hours of the newborn’s life – Curitiba, PR, Brazil, 2023. Figure S2 – Forest graph demonstrating the results of the sensitivity meta-analysis of studies addressing POT between 24 and 48 hours of the newborn’s life – Curitiba, PR, Brazil, 2023. Figure S3 – Forest graph demonstrating the results of the sensitivity meta-analysis of studies addressing POT with 1 or 2 retests – Curitiba, PR, Brazil, 2023. Figure S4 – Forest graph demonstrating the results of the specificity meta-analysis of studies addressing POT top with 1 or 2 retests – Curitiba, PR, Brazil, 2023. Figure S5 – Forest graph demonstrating the results of the sensitivity meta-analysis with retest in less than 2 hours – Curitiba, PR, Brazil, 2023. Figure S6 – Forest graph demonstrating the results of the specificity meta-analysis with retesting at an interval of less than 2 hours – Curitiba, PR, Brazil, 2023. Figure S7 – Forest graph demonstrating the results of the sensitivity meta-analysis with retesting at an interval greater than 2 hours – Curitiba, PR, Brazil, 2023. Figure S8 – Forest graph demonstrating the results of the specificity meta-analysis of studies addressing POT top with 1 or 2 retests – Curitiba, PR, Brazil, 2023. Figure S9 – Forest graph demonstrating the results of the meta-analysis of specificity of studies addressing premature newborns – Curitiba, PR, Brazil, 2023. Figure S10 – Forest graph demonstrating the results of the sensitivity meta-analysis of studies addressing premature newborns – Curitiba, PR, Brazil, 2023. ).

Databases searched included: Cumulative Index to Nursing and Allied Health Literature (CINAHL) and Excerpta Medica Database (Embase) and search portals PUBMED, Scopus and Web of Science, and the bases for unpublished studies, such as Catalog of Theses and Dissertations of the Coordination for the Improvement of Higher Education Personnel (CAPES) – Brazil, Open Access Theses & Dissertations (OATD) and WorldWideScience.org. The search in the respective databases was carried out through registration with the Federated Academic Community (CAPES CAFe).

Inclusion and Exclusion Criteria

Studies that had newborns up to 28 days of age as participants were included, regardless of gestational age at birth; as a diagnostic test, the Pulse Oximetry Test; diagnosis of interest, severe congenital heart disease; and as outcomes, sensitivity and specificity data. Studies published in English, Spanish, and Portuguese were considered for inclusion in this review, without time limits. Review studies, letters to the reader, editorials, comments, abstracts of papers presented at events and expert opinions are excluded.

Study Selection

All citation records from the search were loaded into Endnote and duplicates were removed. Two reviewers independently read the titles and abstracts for evaluation according to the inclusion criteria for the review. No disagreements were identified at this stage. Subsequently, the full text was read independently to qualify the studies. According to inclusion disagreements regarding 176 articles, a third reviewer with experience in systematic reviews by JBI was invited.

Data Extraction

To describe the articles, the following information was collected, attributed to the study: doi, year of publication, country of authors, authors, title, language, journal, method, approach, general objective, main findings, and recommendations. About the diagnostic test: screening protocol, comparator, context, incidence, false positive, false negative, true positive, true negative, sensitivity, specificity, positive predictive value, false positive rate, negative predictive value. To carry out the meta-analysis, the false positive, false negative, true positive, true negative data were analyzed with the aid of the software MetaDisc 1.4(1818. Zamora J, Abraira V, Muriel A, Khan K, Coomarasamy A. Meta-DiSc: a software for meta-analysis of test accuracy data. BMC Med Res Methodol. 2006;6:31. doi: http://dx.doi.org/10.1186/1471-2288-6-31. PubMed PMID: 16836745.
https://doi.org/10.1186/1471-2288-6-31...
).

Assessment of Methodological Quality

The assessment of the methodological quality of the studies was carried out using JBI standardized check list for diagnostic accuracy studies(1515. Campbell JM, Kulgar M, Ding S, Carmody DP, Hakonsen SJ, Jadotte YT, et al. Diagnostic test accuracy systematic reviews. In: Aromataris E, Munn Z, editors. JBI manual for evidence synthesis. Adelaide: JBI; 2020. Chapter 9. doi: http://dx.doi.org/10.46658/JBIMES-20-10.
https://doi.org/10.46658/JBIMES-20-10...
). To interpret this assessment, the authors categorized three possible levels of methodological quality (high, moderate, or low). If the study presented more than seven positive responses, it was classified as having high methodological quality; if it presented between six and four positive responses, it was classified as having moderate methodological quality; and if it presented between three and zero, it was classified as having low methodological quality.

The referred check list consists of four groups of questions about participant inclusion, index test, reference test, flow and time. The questions are: Was it a consecutive or random sample of enrolled patients? Was a case-control design avoided? Did the study avoid inappropriate exclusions? Were the index test results interpreted without knowledge of the reference standard results? If a retention was used, was it pre-specified? Is the reference standard likely to correctly classify the target condition? Are reference standard results interpreted without knowledge of index test results? Was there an appropriate gap between the index text and the reference standard? Did all patients receive the same reference standard? Were all patients included in the analysis?

Assessment of the Quality of the Outcome

It used the system Grading of Recommendations, Assessment, Development and Evaluation(1919. Schunemann H, Brozek J, Guyatt G, Oxaman A. GRADE handbook [Internet]. The GRADE Working Group; 2013 [cited 2023 Apr 4]. Available from: https://gdt.gradepro.org/app/handbook/handbook.html#h.ged5uqebmir.
https://gdt.gradepro.org/app/handbook/ha...
) (GRADE) through the GRADEpro platform to evaluate the strength of recommendation and quality of evidence for the outcomes of diagnostic accuracy studies at one of four levels (high, moderate, low, and very low), according to the study design, indirect evidence, inconsistency, and publication bias.

Data Synthesis

To carry out the meta-analysis, false positive, false negative, true positive and true negative data were analyzed with the support of MetaDisc 1.4 software. Meta-DiSc is a precise and comprehensive meta-analysis software for diagnostic test accuracy studies. All computational algorithms in it have been validated through comparison with different published statistical tools and meta-analyses.

Ethical Aspects

There was no need for approval from the Research Ethics Committee, as it was a review study.

RESULTS

The search resulted in 1873 studies identified in databases and gray literature. A total of 145 duplicates were excluded and, in the study identification tab using other methods, which included gray literature, 26 were not recovered as the file was not available in full. After the eligibility process, 29(2020. Almawazini AM, Hanafi HK, Madkhali HA, Majrashi NB. Effectiveness of the critical congenital heart disease screening program for early diagnosis of cardiac abnormalities in newborn infants. Saudi Med J. 2017;38(10):1019–24. doi: http://dx.doi.org/10.15537/smj.2017.10.20295. PubMed PMID: 28917066.
https://doi.org/10.15537/smj.2017.10.202...
4848. Zayachnikova T, Delryu N, Shishimorov I, Magnitskaya O, Belan E. Accuracy of pulse oximetryfor early detection of critical congenital heart disease in Volgograd region (Russia). Archive Euromedica. 2020;10(2):53–4. doi: http://dx.doi.org/10.35630/2199-885X/2020/10/2.16.
https://doi.org/10.35630/2199-885X/2020/...
) studies, published between 2002 and 2021 remained. The description of the study selection phases, including selection, inclusion, and justification of excluded studies, is presented in Figure 1. Analysis of the methodological quality of the included studies demonstrated that all were classified as having high methodological quality, as they met the 10 evaluation criteria, according to the JBI standardized checklist for diagnostic accuracy studies.

Figure 1
Flowchart of the process of identification, screening, and inclusion of systematic review articles. Curitiba, PR, Brazil, 2023.

Source: The author (2023).

Legend: CAPES – Coordination for the Improvement of Higher Education Personnel; CINAHL – Cumulative Index to Nursing and Allied Health Literature; OATD – Open Access Theses & Dissertations; PIRD – Population, Test Index, test Reference and Diagnosis of interest; WOS – Web of Science; WWW – World Wide Science.


The total population of the included studies consisted of 388,491 newborns. The predominant language in which the studies were published was English and the type of study was observational, retrospective and prospective. Nine studies(2020. Almawazini AM, Hanafi HK, Madkhali HA, Majrashi NB. Effectiveness of the critical congenital heart disease screening program for early diagnosis of cardiac abnormalities in newborn infants. Saudi Med J. 2017;38(10):1019–24. doi: http://dx.doi.org/10.15537/smj.2017.10.20295. PubMed PMID: 28917066.
https://doi.org/10.15537/smj.2017.10.202...
2222. Arlettaz R, Bauschatz AS, Monkhoff M, Essers B, Bauersfeld U. The contribution of pulse oximetry to the early detection of congenital heart disease in newborns. Eur J Pediatr. 2006;165(2):94–8. doi: http://dx.doi.org/10.1007/s00431-005-0006-y. PubMed PMID: 16211399.
https://doi.org/10.1007/s00431-005-0006-...
,2525. Diller CL, Kelleman MS, Kupke KG, Quary SC, Kochilas LK, Oster ME. A modified algorithm for critical congenital heart disease screening using pulse oximetry. Pediatrics. 2018;141(5):1–7. doi: http://dx.doi.org/10.1542/peds.2017-4065. PubMed PMID: 29691284.
https://doi.org/10.1542/peds.2017-4065...
,2929. Havelund KW, Hulgaard M, Malberg D, Fenger-Gron J. Implementation of pulse oximetry screening in a Danish maternity ward. Dan Med J. 2019;66(11):1–4. PubMed PMID: 31686645.,3030. Jones AJ, Howarth C, Nicholl R, Mat-Ali E, Knowles R. The impact and efficacy of routine pulse oximetry screening for CHD in a local hospital. Cardiol Young. 2016;26(7):1397–405. doi: http://dx.doi.org/10.1017/S1047951115002784. PubMed PMID: 26905447.
https://doi.org/10.1017/S104795111500278...
,3333. Meberg A, Andreassen A, Brunvand L, Markestad T, Moster D, Nietsch L, et al. Pulse oximetry screening as a complementary strategy to detect critical congenital heart defects. Acta Paediatr. 2009;98(4):682–6. doi: http://dx.doi.org/10.1111/j.1651-2227.2008.01199.x. PubMed PMID: 19154526.
https://doi.org/10.1111/j.1651-2227.2008...
,3939. Patriciu M, Avasiloaiei A, Moscalu M, Stamatin M. Pulse oximetry during the first 24 hours as a screening tool for congenital heart defects. J Crit Care Med. 2017;3(1):12–7. doi: http://dx.doi.org/10.1515/jccm-2017-0004. PubMed PMID: 29967865.
https://doi.org/10.1515/jccm-2017-0004...
,4343. Singh A, Rasiah SV, Ewer AK. The impact of routine predischarge pulse oximetry screening in a regional neonatal unit. Arch Dis Child Fetal Neonatal Ed. 2014;99(4):F297–302. doi: http://dx.doi.org/10.1136/archdischild-2013-305657. PubMed PMID: 24646619.
https://doi.org/10.1136/archdischild-201...
,4444. Tautz J, Merkel C, Loersch F, Egen O, Hägele F, Thon HM, et al. Implication of pulse oxymetry screening for detection of congenital heart defects. Klin Padiatr. 2010;222(5):291–5. doi: http://dx.doi.org/10.1055/s-0030-1253391. PubMed PMID: 20458668.
https://doi.org/10.1055/s-0030-1253391...
) followed a protocol to perform the test in the first 24 hours, and the others from 24 hours after birth to 48 hours.

There was a plurality in terms of study countries, demonstrating the divergences in the protocols followed, with the United States(2121. Andrews JP, Ross AS, Salazar MA, Tracy NA, Burke Jr BL. Smooth implementation of critical congenital heart defect screening in a newborn nursery. Clin Pediatr. 2014;53(2):173–6. doi: http://dx.doi.org/10.1177/0009922813502850. PubMed PMID: 24037922.
https://doi.org/10.1177/0009922813502850...
,2323. Van Naarden Braun K, Grazel R, Koppel R, Lakshminrusimha S, Lohr J, Kumar P, et al. Evaluation of critical congenital heart defects screening using pulse oximetry in the neonatal intensive care unit. J Perinatol. 2017;37(10):1117–23. doi: http://dx.doi.org/10.1038/jp.2017.105. PubMed PMID: 28749481.
https://doi.org/10.1038/jp.2017.105...
,2525. Diller CL, Kelleman MS, Kupke KG, Quary SC, Kochilas LK, Oster ME. A modified algorithm for critical congenital heart disease screening using pulse oximetry. Pediatrics. 2018;141(5):1–7. doi: http://dx.doi.org/10.1542/peds.2017-4065. PubMed PMID: 29691284.
https://doi.org/10.1542/peds.2017-4065...
,2828. Gong A, Livingston J, Creel L, Ocampo E, McKee-Garrett T, Guillory C. Texas Pulse Oximetry Project: a multicenter educational and quality improvement project for implementation of critical congenital heart disease screening using pulse oximetry. Am J Perinatol. 2017;34(9):856–60. doi: http://dx.doi.org/10.1055/s-0037-1599214. PubMed PMID: 28264208.
https://doi.org/10.1055/s-0037-1599214...
,3232. Manja V, Mathew B, Carrion V, Lakshminrusimha S. Critical congenital heart disease screening by pulse oximetry in a neonatal intensive care unit. J Perinatol. 2015;35(1):67–71. doi: http://dx.doi.org/10.1038/jp.2014.135. PubMed PMID: 25058746.
https://doi.org/10.1038/jp.2014.135...
,3535. Miller K, Vig K, Goetz E, Spicer G, Yang AJ, Hokanson JS. Pulse oximetry screening for critical congenital heart disease in planned out of hospital births and the incidence of critical congenital heart disease in the Plain community. J Perinatol. 2016;36(12):1088–91. doi: http://dx.doi.org/10.1038/jp.2016.135. PubMed PMID: 27583398.
https://doi.org/10.1038/jp.2016.135...
,4747. Walsh W. Evaluation of pulse oximetry screening in Middle Tennessee: cases for consideration before universal screening. J Perinatol. 2011;31(2):125–9. doi: http://dx.doi.org/10.1038/jp.2010.70. PubMed PMID: 20508595.
https://doi.org/10.1038/jp.2010.70...
) and United Kingdom(3030. Jones AJ, Howarth C, Nicholl R, Mat-Ali E, Knowles R. The impact and efficacy of routine pulse oximetry screening for CHD in a local hospital. Cardiol Young. 2016;26(7):1397–405. doi: http://dx.doi.org/10.1017/S1047951115002784. PubMed PMID: 26905447.
https://doi.org/10.1017/S104795111500278...
,4040. Prudhoe S, Abu-Harb M, Richmond S, Wren C. Neonatal screening for critical cardiovascular anomalies using pulse oximetry. Arch Dis Child Fetal Neonatal Ed. 2013;98(4):F346–50. doi: http://dx.doi.org/10.1136/archdischild-2012-302045. PubMed PMID: 23341250.
https://doi.org/10.1136/archdischild-201...
4343. Singh A, Rasiah SV, Ewer AK. The impact of routine predischarge pulse oximetry screening in a regional neonatal unit. Arch Dis Child Fetal Neonatal Ed. 2014;99(4):F297–302. doi: http://dx.doi.org/10.1136/archdischild-2013-305657. PubMed PMID: 24646619.
https://doi.org/10.1136/archdischild-201...
) being the countries with the most publications. As for the sample, it varied in the size of the studies. Most of them analyzed one hospital, but there were studies analyzing more than 14 hospitals(2323. Van Naarden Braun K, Grazel R, Koppel R, Lakshminrusimha S, Lohr J, Kumar P, et al. Evaluation of critical congenital heart defects screening using pulse oximetry in the neonatal intensive care unit. J Perinatol. 2017;37(10):1117–23. doi: http://dx.doi.org/10.1038/jp.2017.105. PubMed PMID: 28749481.
https://doi.org/10.1038/jp.2017.105...
,3333. Meberg A, Andreassen A, Brunvand L, Markestad T, Moster D, Nietsch L, et al. Pulse oximetry screening as a complementary strategy to detect critical congenital heart defects. Acta Paediatr. 2009;98(4):682–6. doi: http://dx.doi.org/10.1111/j.1651-2227.2008.01199.x. PubMed PMID: 19154526.
https://doi.org/10.1111/j.1651-2227.2008...
4444. Tautz J, Merkel C, Loersch F, Egen O, Hägele F, Thon HM, et al. Implication of pulse oxymetry screening for detection of congenital heart defects. Klin Padiatr. 2010;222(5):291–5. doi: http://dx.doi.org/10.1055/s-0030-1253391. PubMed PMID: 20458668.
https://doi.org/10.1055/s-0030-1253391...
). Chart 1 demonstrates the characteristics of the studies, considering participants, test period, cutoff points, and care behaviors.

Chart 1
Characteristics of the included studies. Curitiba, PR, Brazil, 2023.

False positive, false negative, true positive, true negative data were also collected, presented in Chart S2 Supplementary Material The following online material is available for this article: Chart S1 – Search strategies for the databases used – Curitiba, PR, Brazil, 2023. Chart S2 – Data collection instrument according to identification of studies with false positive, false negative, true positive and true negative value – Curitiba, PR, Brazil, 2023. Figure S1 – Forest graph demonstrating the results of the sensitivity meta-analysis of studies addressing POT between 24 and 48 hours of the newborn’s life – Curitiba, PR, Brazil, 2023. Figure S2 – Forest graph demonstrating the results of the sensitivity meta-analysis of studies addressing POT between 24 and 48 hours of the newborn’s life – Curitiba, PR, Brazil, 2023. Figure S3 – Forest graph demonstrating the results of the sensitivity meta-analysis of studies addressing POT with 1 or 2 retests – Curitiba, PR, Brazil, 2023. Figure S4 – Forest graph demonstrating the results of the specificity meta-analysis of studies addressing POT top with 1 or 2 retests – Curitiba, PR, Brazil, 2023. Figure S5 – Forest graph demonstrating the results of the sensitivity meta-analysis with retest in less than 2 hours – Curitiba, PR, Brazil, 2023. Figure S6 – Forest graph demonstrating the results of the specificity meta-analysis with retesting at an interval of less than 2 hours – Curitiba, PR, Brazil, 2023. Figure S7 – Forest graph demonstrating the results of the sensitivity meta-analysis with retesting at an interval greater than 2 hours – Curitiba, PR, Brazil, 2023. Figure S8 – Forest graph demonstrating the results of the specificity meta-analysis of studies addressing POT top with 1 or 2 retests – Curitiba, PR, Brazil, 2023. Figure S9 – Forest graph demonstrating the results of the meta-analysis of specificity of studies addressing premature newborns – Curitiba, PR, Brazil, 2023. Figure S10 – Forest graph demonstrating the results of the sensitivity meta-analysis of studies addressing premature newborns – Curitiba, PR, Brazil, 2023. . First, a meta-analysis was carried out with 29(2020. Almawazini AM, Hanafi HK, Madkhali HA, Majrashi NB. Effectiveness of the critical congenital heart disease screening program for early diagnosis of cardiac abnormalities in newborn infants. Saudi Med J. 2017;38(10):1019–24. doi: http://dx.doi.org/10.15537/smj.2017.10.20295. PubMed PMID: 28917066.
https://doi.org/10.15537/smj.2017.10.202...
4848. Zayachnikova T, Delryu N, Shishimorov I, Magnitskaya O, Belan E. Accuracy of pulse oximetryfor early detection of critical congenital heart disease in Volgograd region (Russia). Archive Euromedica. 2020;10(2):53–4. doi: http://dx.doi.org/10.35630/2199-885X/2020/10/2.16.
https://doi.org/10.35630/2199-885X/2020/...
) studies and a total population of 388,491 newborns, which demonstrated a sensitivity of 47% (95% CI: 43% to 50%) (Figure 2) and a specificity of 98% (95% CI: 98% to 98%) (Figure 3). The high specificity of POT shows that the test is more suitable for identifying newborns without alterations.

Figure 2
Forest graph demonstrating the results of the sensitivity meta-analysis. Curitiba, PR, Brazil, 2023.

Source: The author (2023).


Figure 3
Forest plot demonstrating the results of the specificity meta-analysis. Curitiba, PR, Brazil, 2023.

Source: The Author (2023).


Subsequently, subgroup analyses were carried out for sensitivity and specificity, according to the time of birth and the first POT measurement between 24 and 48 hours (Figures S1 Supplementary Material The following online material is available for this article: Chart S1 – Search strategies for the databases used – Curitiba, PR, Brazil, 2023. Chart S2 – Data collection instrument according to identification of studies with false positive, false negative, true positive and true negative value – Curitiba, PR, Brazil, 2023. Figure S1 – Forest graph demonstrating the results of the sensitivity meta-analysis of studies addressing POT between 24 and 48 hours of the newborn’s life – Curitiba, PR, Brazil, 2023. Figure S2 – Forest graph demonstrating the results of the sensitivity meta-analysis of studies addressing POT between 24 and 48 hours of the newborn’s life – Curitiba, PR, Brazil, 2023. Figure S3 – Forest graph demonstrating the results of the sensitivity meta-analysis of studies addressing POT with 1 or 2 retests – Curitiba, PR, Brazil, 2023. Figure S4 – Forest graph demonstrating the results of the specificity meta-analysis of studies addressing POT top with 1 or 2 retests – Curitiba, PR, Brazil, 2023. Figure S5 – Forest graph demonstrating the results of the sensitivity meta-analysis with retest in less than 2 hours – Curitiba, PR, Brazil, 2023. Figure S6 – Forest graph demonstrating the results of the specificity meta-analysis with retesting at an interval of less than 2 hours – Curitiba, PR, Brazil, 2023. Figure S7 – Forest graph demonstrating the results of the sensitivity meta-analysis with retesting at an interval greater than 2 hours – Curitiba, PR, Brazil, 2023. Figure S8 – Forest graph demonstrating the results of the specificity meta-analysis of studies addressing POT top with 1 or 2 retests – Curitiba, PR, Brazil, 2023. Figure S9 – Forest graph demonstrating the results of the meta-analysis of specificity of studies addressing premature newborns – Curitiba, PR, Brazil, 2023. Figure S10 – Forest graph demonstrating the results of the sensitivity meta-analysis of studies addressing premature newborns – Curitiba, PR, Brazil, 2023. and S2 Supplementary Material The following online material is available for this article: Chart S1 – Search strategies for the databases used – Curitiba, PR, Brazil, 2023. Chart S2 – Data collection instrument according to identification of studies with false positive, false negative, true positive and true negative value – Curitiba, PR, Brazil, 2023. Figure S1 – Forest graph demonstrating the results of the sensitivity meta-analysis of studies addressing POT between 24 and 48 hours of the newborn’s life – Curitiba, PR, Brazil, 2023. Figure S2 – Forest graph demonstrating the results of the sensitivity meta-analysis of studies addressing POT between 24 and 48 hours of the newborn’s life – Curitiba, PR, Brazil, 2023. Figure S3 – Forest graph demonstrating the results of the sensitivity meta-analysis of studies addressing POT with 1 or 2 retests – Curitiba, PR, Brazil, 2023. Figure S4 – Forest graph demonstrating the results of the specificity meta-analysis of studies addressing POT top with 1 or 2 retests – Curitiba, PR, Brazil, 2023. Figure S5 – Forest graph demonstrating the results of the sensitivity meta-analysis with retest in less than 2 hours – Curitiba, PR, Brazil, 2023. Figure S6 – Forest graph demonstrating the results of the specificity meta-analysis with retesting at an interval of less than 2 hours – Curitiba, PR, Brazil, 2023. Figure S7 – Forest graph demonstrating the results of the sensitivity meta-analysis with retesting at an interval greater than 2 hours – Curitiba, PR, Brazil, 2023. Figure S8 – Forest graph demonstrating the results of the specificity meta-analysis of studies addressing POT top with 1 or 2 retests – Curitiba, PR, Brazil, 2023. Figure S9 – Forest graph demonstrating the results of the meta-analysis of specificity of studies addressing premature newborns – Curitiba, PR, Brazil, 2023. Figure S10 – Forest graph demonstrating the results of the sensitivity meta-analysis of studies addressing premature newborns – Curitiba, PR, Brazil, 2023. ). In this meta-analysis, 20 studies were included(2121. Andrews JP, Ross AS, Salazar MA, Tracy NA, Burke Jr BL. Smooth implementation of critical congenital heart defect screening in a newborn nursery. Clin Pediatr. 2014;53(2):173–6. doi: http://dx.doi.org/10.1177/0009922813502850. PubMed PMID: 24037922.
https://doi.org/10.1177/0009922813502850...
2424. Cubells E, Torres B, Nuñez-Ramiro A, Sánchez-Luna M, Izquierdo I, Vento M. Congenital critical heart defect screening in a health area of the community of Valencia (Spain): a prospective observational study. Int J Neonatal Screen. 2018;4(1):3. doi: http://dx.doi.org/10.3390/ijns4010003. PubMed PMID: 33072929.
https://doi.org/10.3390/ijns4010003...
,2727. Gamhewage NC, Perera KSY, Weerasekera M. Effectiveness of newborn pulse oximetry screening for the identification of critical congenital heart disease in a tertiary care hospital in Sri Lanka. Sri Lanka J Child Health. 2021;50(4):699–703. doi: http://dx.doi.org/10.4038/sljch.v50i4.9890.
https://doi.org/10.4038/sljch.v50i4.9890...
,2828. Gong A, Livingston J, Creel L, Ocampo E, McKee-Garrett T, Guillory C. Texas Pulse Oximetry Project: a multicenter educational and quality improvement project for implementation of critical congenital heart disease screening using pulse oximetry. Am J Perinatol. 2017;34(9):856–60. doi: http://dx.doi.org/10.1055/s-0037-1599214. PubMed PMID: 28264208.
https://doi.org/10.1055/s-0037-1599214...
,3131. Kardasevic M, Jovanovic I, Samardzic JP. Implementation of congenital heart diseases screening at the Bihac Cantonal Hospital. Mater Sociomed. 2017;29(1):45–7. doi: http://dx.doi.org/10.5455/msm.2017.29.45-47. PubMed PMID: 28484354.
https://doi.org/10.5455/msm.2017.29.45-4...
3333. Meberg A, Andreassen A, Brunvand L, Markestad T, Moster D, Nietsch L, et al. Pulse oximetry screening as a complementary strategy to detect critical congenital heart defects. Acta Paediatr. 2009;98(4):682–6. doi: http://dx.doi.org/10.1111/j.1651-2227.2008.01199.x. PubMed PMID: 19154526.
https://doi.org/10.1111/j.1651-2227.2008...
,3535. Miller K, Vig K, Goetz E, Spicer G, Yang AJ, Hokanson JS. Pulse oximetry screening for critical congenital heart disease in planned out of hospital births and the incidence of critical congenital heart disease in the Plain community. J Perinatol. 2016;36(12):1088–91. doi: http://dx.doi.org/10.1038/jp.2016.135. PubMed PMID: 27583398.
https://doi.org/10.1038/jp.2016.135...
3838. Özalkaya E, Akdagˇ A, S¸en I, Cömert E, Yaren HM. Early screening for critical congenital heart defects in asymptomatic newborns in Bursa province. J Matern Fetal Neonatal Med. 2016;29(7):1105–7. doi: http://dx.doi.org/10.3109/14767058.2015.1035642. PubMed PMID: 25902399.
https://doi.org/10.3109/14767058.2015.10...
,4040. Prudhoe S, Abu-Harb M, Richmond S, Wren C. Neonatal screening for critical cardiovascular anomalies using pulse oximetry. Arch Dis Child Fetal Neonatal Ed. 2013;98(4):F346–50. doi: http://dx.doi.org/10.1136/archdischild-2012-302045. PubMed PMID: 23341250.
https://doi.org/10.1136/archdischild-201...
4242. Saxena A, Mehta A, Ramakrishnan S, Sharma M, Salhan S, Kalaivani M, et al. Pulse oximetry as a screening tool for detecting major congenital heart defects in Indian newborns. Arch Dis Child Fetal Neonatal Ed. 2015;100(5):F416-21. doi: http://dx.doi.org/10.1136/archdischild-2014-307485. PubMed PMID: 26038347.
https://doi.org/10.1136/archdischild-201...
,4444. Tautz J, Merkel C, Loersch F, Egen O, Hägele F, Thon HM, et al. Implication of pulse oxymetry screening for detection of congenital heart defects. Klin Padiatr. 2010;222(5):291–5. doi: http://dx.doi.org/10.1055/s-0030-1253391. PubMed PMID: 20458668.
https://doi.org/10.1055/s-0030-1253391...
4848. Zayachnikova T, Delryu N, Shishimorov I, Magnitskaya O, Belan E. Accuracy of pulse oximetryfor early detection of critical congenital heart disease in Volgograd region (Russia). Archive Euromedica. 2020;10(2):53–4. doi: http://dx.doi.org/10.35630/2199-885X/2020/10/2.16.
https://doi.org/10.35630/2199-885X/2020/...
) with a sample of 203,992 participants. An increase in sensitivity to 67% (95% CI: 62% to 72%) and specificity to 97% (95% CI: 97% to 97) was demonstrated.

A third analysis including studies that were carried out with protocols that contained retests after the first measurement, comprising 13 studies(2121. Andrews JP, Ross AS, Salazar MA, Tracy NA, Burke Jr BL. Smooth implementation of critical congenital heart defect screening in a newborn nursery. Clin Pediatr. 2014;53(2):173–6. doi: http://dx.doi.org/10.1177/0009922813502850. PubMed PMID: 24037922.
https://doi.org/10.1177/0009922813502850...
,2424. Cubells E, Torres B, Nuñez-Ramiro A, Sánchez-Luna M, Izquierdo I, Vento M. Congenital critical heart defect screening in a health area of the community of Valencia (Spain): a prospective observational study. Int J Neonatal Screen. 2018;4(1):3. doi: http://dx.doi.org/10.3390/ijns4010003. PubMed PMID: 33072929.
https://doi.org/10.3390/ijns4010003...
,2727. Gamhewage NC, Perera KSY, Weerasekera M. Effectiveness of newborn pulse oximetry screening for the identification of critical congenital heart disease in a tertiary care hospital in Sri Lanka. Sri Lanka J Child Health. 2021;50(4):699–703. doi: http://dx.doi.org/10.4038/sljch.v50i4.9890.
https://doi.org/10.4038/sljch.v50i4.9890...
,2828. Gong A, Livingston J, Creel L, Ocampo E, McKee-Garrett T, Guillory C. Texas Pulse Oximetry Project: a multicenter educational and quality improvement project for implementation of critical congenital heart disease screening using pulse oximetry. Am J Perinatol. 2017;34(9):856–60. doi: http://dx.doi.org/10.1055/s-0037-1599214. PubMed PMID: 28264208.
https://doi.org/10.1055/s-0037-1599214...
,3131. Kardasevic M, Jovanovic I, Samardzic JP. Implementation of congenital heart diseases screening at the Bihac Cantonal Hospital. Mater Sociomed. 2017;29(1):45–7. doi: http://dx.doi.org/10.5455/msm.2017.29.45-47. PubMed PMID: 28484354.
https://doi.org/10.5455/msm.2017.29.45-4...
,3232. Manja V, Mathew B, Carrion V, Lakshminrusimha S. Critical congenital heart disease screening by pulse oximetry in a neonatal intensive care unit. J Perinatol. 2015;35(1):67–71. doi: http://dx.doi.org/10.1038/jp.2014.135. PubMed PMID: 25058746.
https://doi.org/10.1038/jp.2014.135...
,3434. Meberg A, Brügmann-Pieper S, Due Jr R, Eskedal L, Fagerli I, Farstad T, et al. First day of life pulse oximetry screening to detect congenital heart defects. J Pediatr. 2008;152(6):761–5. doi: http://dx.doi.org/10.1016/j.jpeds.2007.12.043. PubMed PMID: 18492511.
https://doi.org/10.1016/j.jpeds.2007.12....
,3535. Miller K, Vig K, Goetz E, Spicer G, Yang AJ, Hokanson JS. Pulse oximetry screening for critical congenital heart disease in planned out of hospital births and the incidence of critical congenital heart disease in the Plain community. J Perinatol. 2016;36(12):1088–91. doi: http://dx.doi.org/10.1038/jp.2016.135. PubMed PMID: 27583398.
https://doi.org/10.1038/jp.2016.135...
,3737. Mosayebi Z, Movahedian AH, Amini E, Asbagh PA, Ghorbansabagh V, Shariat M, et al. Evaluation of pulse oximetry in the early diagnosis of cardiac and noncardiac diseases in healthy newborns. Iran. J. Neonatol. 2020;11:43–50. doi: http://dx.doi.org/10.22038/IJN.2019.38511.1608.
https://doi.org/10.22038/IJN.2019.38511....
,3838. Özalkaya E, Akdagˇ A, S¸en I, Cömert E, Yaren HM. Early screening for critical congenital heart defects in asymptomatic newborns in Bursa province. J Matern Fetal Neonatal Med. 2016;29(7):1105–7. doi: http://dx.doi.org/10.3109/14767058.2015.1035642. PubMed PMID: 25902399.
https://doi.org/10.3109/14767058.2015.10...
,4242. Saxena A, Mehta A, Ramakrishnan S, Sharma M, Salhan S, Kalaivani M, et al. Pulse oximetry as a screening tool for detecting major congenital heart defects in Indian newborns. Arch Dis Child Fetal Neonatal Ed. 2015;100(5):F416-21. doi: http://dx.doi.org/10.1136/archdischild-2014-307485. PubMed PMID: 26038347.
https://doi.org/10.1136/archdischild-201...
,4444. Tautz J, Merkel C, Loersch F, Egen O, Hägele F, Thon HM, et al. Implication of pulse oxymetry screening for detection of congenital heart defects. Klin Padiatr. 2010;222(5):291–5. doi: http://dx.doi.org/10.1055/s-0030-1253391. PubMed PMID: 20458668.
https://doi.org/10.1055/s-0030-1253391...
,4545. Tsao PC, Shiau YS, Chiang SH, Ho HC, Liu YL, Chung YF, et al. Development of a newborn screening program for Critical Congenital Heart Disease (CCHD) in Taipei. PLoS One. 2016;11(4):e0153407. doi: http://dx.doi.org/10.1371/journal.pone.0153407. PubMed PMID: 27073996.
https://doi.org/10.1371/journal.pone.015...
) and a sample of 124,469 participants was also developed (Figures S3 Supplementary Material The following online material is available for this article: Chart S1 – Search strategies for the databases used – Curitiba, PR, Brazil, 2023. Chart S2 – Data collection instrument according to identification of studies with false positive, false negative, true positive and true negative value – Curitiba, PR, Brazil, 2023. Figure S1 – Forest graph demonstrating the results of the sensitivity meta-analysis of studies addressing POT between 24 and 48 hours of the newborn’s life – Curitiba, PR, Brazil, 2023. Figure S2 – Forest graph demonstrating the results of the sensitivity meta-analysis of studies addressing POT between 24 and 48 hours of the newborn’s life – Curitiba, PR, Brazil, 2023. Figure S3 – Forest graph demonstrating the results of the sensitivity meta-analysis of studies addressing POT with 1 or 2 retests – Curitiba, PR, Brazil, 2023. Figure S4 – Forest graph demonstrating the results of the specificity meta-analysis of studies addressing POT top with 1 or 2 retests – Curitiba, PR, Brazil, 2023. Figure S5 – Forest graph demonstrating the results of the sensitivity meta-analysis with retest in less than 2 hours – Curitiba, PR, Brazil, 2023. Figure S6 – Forest graph demonstrating the results of the specificity meta-analysis with retesting at an interval of less than 2 hours – Curitiba, PR, Brazil, 2023. Figure S7 – Forest graph demonstrating the results of the sensitivity meta-analysis with retesting at an interval greater than 2 hours – Curitiba, PR, Brazil, 2023. Figure S8 – Forest graph demonstrating the results of the specificity meta-analysis of studies addressing POT top with 1 or 2 retests – Curitiba, PR, Brazil, 2023. Figure S9 – Forest graph demonstrating the results of the meta-analysis of specificity of studies addressing premature newborns – Curitiba, PR, Brazil, 2023. Figure S10 – Forest graph demonstrating the results of the sensitivity meta-analysis of studies addressing premature newborns – Curitiba, PR, Brazil, 2023. and S4 Supplementary Material The following online material is available for this article: Chart S1 – Search strategies for the databases used – Curitiba, PR, Brazil, 2023. Chart S2 – Data collection instrument according to identification of studies with false positive, false negative, true positive and true negative value – Curitiba, PR, Brazil, 2023. Figure S1 – Forest graph demonstrating the results of the sensitivity meta-analysis of studies addressing POT between 24 and 48 hours of the newborn’s life – Curitiba, PR, Brazil, 2023. Figure S2 – Forest graph demonstrating the results of the sensitivity meta-analysis of studies addressing POT between 24 and 48 hours of the newborn’s life – Curitiba, PR, Brazil, 2023. Figure S3 – Forest graph demonstrating the results of the sensitivity meta-analysis of studies addressing POT with 1 or 2 retests – Curitiba, PR, Brazil, 2023. Figure S4 – Forest graph demonstrating the results of the specificity meta-analysis of studies addressing POT top with 1 or 2 retests – Curitiba, PR, Brazil, 2023. Figure S5 – Forest graph demonstrating the results of the sensitivity meta-analysis with retest in less than 2 hours – Curitiba, PR, Brazil, 2023. Figure S6 – Forest graph demonstrating the results of the specificity meta-analysis with retesting at an interval of less than 2 hours – Curitiba, PR, Brazil, 2023. Figure S7 – Forest graph demonstrating the results of the sensitivity meta-analysis with retesting at an interval greater than 2 hours – Curitiba, PR, Brazil, 2023. Figure S8 – Forest graph demonstrating the results of the specificity meta-analysis of studies addressing POT top with 1 or 2 retests – Curitiba, PR, Brazil, 2023. Figure S9 – Forest graph demonstrating the results of the meta-analysis of specificity of studies addressing premature newborns – Curitiba, PR, Brazil, 2023. Figure S10 – Forest graph demonstrating the results of the sensitivity meta-analysis of studies addressing premature newborns – Curitiba, PR, Brazil, 2023. ). In this analysis, there was a similar increase in sensitivity to 91% (95% CI: 85% to 95%) and specificity to 100% (95% CI: 100% to 100%).

It was noticed that the studies differed regarding the retest interval. Meta-analysis was carried out with studies that carried out a retest after one hour of the first measurement, specifically with three studies(2424. Cubells E, Torres B, Nuñez-Ramiro A, Sánchez-Luna M, Izquierdo I, Vento M. Congenital critical heart defect screening in a health area of the community of Valencia (Spain): a prospective observational study. Int J Neonatal Screen. 2018;4(1):3. doi: http://dx.doi.org/10.3390/ijns4010003. PubMed PMID: 33072929.
https://doi.org/10.3390/ijns4010003...
,3636. Mohsin M, Humayun KN, Atiq M. Clinical screening for congenital heart disease in newborns at a tertiary care hospital of a developing country. Cureus. 2019;11(6):e4808. doi: http://dx.doi.org/10.7759/cureus.4808. PubMed PMID: 31403007.
https://doi.org/10.7759/cureus.4808...
,4545. Tsao PC, Shiau YS, Chiang SH, Ho HC, Liu YL, Chung YF, et al. Development of a newborn screening program for Critical Congenital Heart Disease (CCHD) in Taipei. PLoS One. 2016;11(4):e0153407. doi: http://dx.doi.org/10.1371/journal.pone.0153407. PubMed PMID: 27073996.
https://doi.org/10.1371/journal.pone.015...
) and a sample of 16,802 participants (Figures S5 Supplementary Material The following online material is available for this article: Chart S1 – Search strategies for the databases used – Curitiba, PR, Brazil, 2023. Chart S2 – Data collection instrument according to identification of studies with false positive, false negative, true positive and true negative value – Curitiba, PR, Brazil, 2023. Figure S1 – Forest graph demonstrating the results of the sensitivity meta-analysis of studies addressing POT between 24 and 48 hours of the newborn’s life – Curitiba, PR, Brazil, 2023. Figure S2 – Forest graph demonstrating the results of the sensitivity meta-analysis of studies addressing POT between 24 and 48 hours of the newborn’s life – Curitiba, PR, Brazil, 2023. Figure S3 – Forest graph demonstrating the results of the sensitivity meta-analysis of studies addressing POT with 1 or 2 retests – Curitiba, PR, Brazil, 2023. Figure S4 – Forest graph demonstrating the results of the specificity meta-analysis of studies addressing POT top with 1 or 2 retests – Curitiba, PR, Brazil, 2023. Figure S5 – Forest graph demonstrating the results of the sensitivity meta-analysis with retest in less than 2 hours – Curitiba, PR, Brazil, 2023. Figure S6 – Forest graph demonstrating the results of the specificity meta-analysis with retesting at an interval of less than 2 hours – Curitiba, PR, Brazil, 2023. Figure S7 – Forest graph demonstrating the results of the sensitivity meta-analysis with retesting at an interval greater than 2 hours – Curitiba, PR, Brazil, 2023. Figure S8 – Forest graph demonstrating the results of the specificity meta-analysis of studies addressing POT top with 1 or 2 retests – Curitiba, PR, Brazil, 2023. Figure S9 – Forest graph demonstrating the results of the meta-analysis of specificity of studies addressing premature newborns – Curitiba, PR, Brazil, 2023. Figure S10 – Forest graph demonstrating the results of the sensitivity meta-analysis of studies addressing premature newborns – Curitiba, PR, Brazil, 2023. and S6 Supplementary Material The following online material is available for this article: Chart S1 – Search strategies for the databases used – Curitiba, PR, Brazil, 2023. Chart S2 – Data collection instrument according to identification of studies with false positive, false negative, true positive and true negative value – Curitiba, PR, Brazil, 2023. Figure S1 – Forest graph demonstrating the results of the sensitivity meta-analysis of studies addressing POT between 24 and 48 hours of the newborn’s life – Curitiba, PR, Brazil, 2023. Figure S2 – Forest graph demonstrating the results of the sensitivity meta-analysis of studies addressing POT between 24 and 48 hours of the newborn’s life – Curitiba, PR, Brazil, 2023. Figure S3 – Forest graph demonstrating the results of the sensitivity meta-analysis of studies addressing POT with 1 or 2 retests – Curitiba, PR, Brazil, 2023. Figure S4 – Forest graph demonstrating the results of the specificity meta-analysis of studies addressing POT top with 1 or 2 retests – Curitiba, PR, Brazil, 2023. Figure S5 – Forest graph demonstrating the results of the sensitivity meta-analysis with retest in less than 2 hours – Curitiba, PR, Brazil, 2023. Figure S6 – Forest graph demonstrating the results of the specificity meta-analysis with retesting at an interval of less than 2 hours – Curitiba, PR, Brazil, 2023. Figure S7 – Forest graph demonstrating the results of the sensitivity meta-analysis with retesting at an interval greater than 2 hours – Curitiba, PR, Brazil, 2023. Figure S8 – Forest graph demonstrating the results of the specificity meta-analysis of studies addressing POT top with 1 or 2 retests – Curitiba, PR, Brazil, 2023. Figure S9 – Forest graph demonstrating the results of the meta-analysis of specificity of studies addressing premature newborns – Curitiba, PR, Brazil, 2023. Figure S10 – Forest graph demonstrating the results of the sensitivity meta-analysis of studies addressing premature newborns – Curitiba, PR, Brazil, 2023. ). Sensitivity was 48% (95% CI: 31% to 66%) and specificity was 100% (95% CI: 100% to 100%).

Furthermore, there were studies that performed retests over a period of time greater than one hour and up to two hours, including eight studies(2121. Andrews JP, Ross AS, Salazar MA, Tracy NA, Burke Jr BL. Smooth implementation of critical congenital heart defect screening in a newborn nursery. Clin Pediatr. 2014;53(2):173–6. doi: http://dx.doi.org/10.1177/0009922813502850. PubMed PMID: 24037922.
https://doi.org/10.1177/0009922813502850...
,2323. Van Naarden Braun K, Grazel R, Koppel R, Lakshminrusimha S, Lohr J, Kumar P, et al. Evaluation of critical congenital heart defects screening using pulse oximetry in the neonatal intensive care unit. J Perinatol. 2017;37(10):1117–23. doi: http://dx.doi.org/10.1038/jp.2017.105. PubMed PMID: 28749481.
https://doi.org/10.1038/jp.2017.105...
,2828. Gong A, Livingston J, Creel L, Ocampo E, McKee-Garrett T, Guillory C. Texas Pulse Oximetry Project: a multicenter educational and quality improvement project for implementation of critical congenital heart disease screening using pulse oximetry. Am J Perinatol. 2017;34(9):856–60. doi: http://dx.doi.org/10.1055/s-0037-1599214. PubMed PMID: 28264208.
https://doi.org/10.1055/s-0037-1599214...
,3131. Kardasevic M, Jovanovic I, Samardzic JP. Implementation of congenital heart diseases screening at the Bihac Cantonal Hospital. Mater Sociomed. 2017;29(1):45–7. doi: http://dx.doi.org/10.5455/msm.2017.29.45-47. PubMed PMID: 28484354.
https://doi.org/10.5455/msm.2017.29.45-4...
,3232. Manja V, Mathew B, Carrion V, Lakshminrusimha S. Critical congenital heart disease screening by pulse oximetry in a neonatal intensive care unit. J Perinatol. 2015;35(1):67–71. doi: http://dx.doi.org/10.1038/jp.2014.135. PubMed PMID: 25058746.
https://doi.org/10.1038/jp.2014.135...
,3535. Miller K, Vig K, Goetz E, Spicer G, Yang AJ, Hokanson JS. Pulse oximetry screening for critical congenital heart disease in planned out of hospital births and the incidence of critical congenital heart disease in the Plain community. J Perinatol. 2016;36(12):1088–91. doi: http://dx.doi.org/10.1038/jp.2016.135. PubMed PMID: 27583398.
https://doi.org/10.1038/jp.2016.135...
,3737. Mosayebi Z, Movahedian AH, Amini E, Asbagh PA, Ghorbansabagh V, Shariat M, et al. Evaluation of pulse oximetry in the early diagnosis of cardiac and noncardiac diseases in healthy newborns. Iran. J. Neonatol. 2020;11:43–50. doi: http://dx.doi.org/10.22038/IJN.2019.38511.1608.
https://doi.org/10.22038/IJN.2019.38511....
,4141. Richmond S, Reay G, Abu Harb M. Routine pulse oximetry in the asymptomatic newborn. Arch Dis Child Fetal Neonatal Ed. 2002;87(2):83–8. doi: http://dx.doi.org/10.1136/fn.87.2.F83. PubMed PMID: 12193511.
https://doi.org/10.1136/fn.87.2.F83...
) and a total sample of 27,473 participants (Figures S7 Supplementary Material The following online material is available for this article: Chart S1 – Search strategies for the databases used – Curitiba, PR, Brazil, 2023. Chart S2 – Data collection instrument according to identification of studies with false positive, false negative, true positive and true negative value – Curitiba, PR, Brazil, 2023. Figure S1 – Forest graph demonstrating the results of the sensitivity meta-analysis of studies addressing POT between 24 and 48 hours of the newborn’s life – Curitiba, PR, Brazil, 2023. Figure S2 – Forest graph demonstrating the results of the sensitivity meta-analysis of studies addressing POT between 24 and 48 hours of the newborn’s life – Curitiba, PR, Brazil, 2023. Figure S3 – Forest graph demonstrating the results of the sensitivity meta-analysis of studies addressing POT with 1 or 2 retests – Curitiba, PR, Brazil, 2023. Figure S4 – Forest graph demonstrating the results of the specificity meta-analysis of studies addressing POT top with 1 or 2 retests – Curitiba, PR, Brazil, 2023. Figure S5 – Forest graph demonstrating the results of the sensitivity meta-analysis with retest in less than 2 hours – Curitiba, PR, Brazil, 2023. Figure S6 – Forest graph demonstrating the results of the specificity meta-analysis with retesting at an interval of less than 2 hours – Curitiba, PR, Brazil, 2023. Figure S7 – Forest graph demonstrating the results of the sensitivity meta-analysis with retesting at an interval greater than 2 hours – Curitiba, PR, Brazil, 2023. Figure S8 – Forest graph demonstrating the results of the specificity meta-analysis of studies addressing POT top with 1 or 2 retests – Curitiba, PR, Brazil, 2023. Figure S9 – Forest graph demonstrating the results of the meta-analysis of specificity of studies addressing premature newborns – Curitiba, PR, Brazil, 2023. Figure S10 – Forest graph demonstrating the results of the sensitivity meta-analysis of studies addressing premature newborns – Curitiba, PR, Brazil, 2023. and S8 Supplementary Material The following online material is available for this article: Chart S1 – Search strategies for the databases used – Curitiba, PR, Brazil, 2023. Chart S2 – Data collection instrument according to identification of studies with false positive, false negative, true positive and true negative value – Curitiba, PR, Brazil, 2023. Figure S1 – Forest graph demonstrating the results of the sensitivity meta-analysis of studies addressing POT between 24 and 48 hours of the newborn’s life – Curitiba, PR, Brazil, 2023. Figure S2 – Forest graph demonstrating the results of the sensitivity meta-analysis of studies addressing POT between 24 and 48 hours of the newborn’s life – Curitiba, PR, Brazil, 2023. Figure S3 – Forest graph demonstrating the results of the sensitivity meta-analysis of studies addressing POT with 1 or 2 retests – Curitiba, PR, Brazil, 2023. Figure S4 – Forest graph demonstrating the results of the specificity meta-analysis of studies addressing POT top with 1 or 2 retests – Curitiba, PR, Brazil, 2023. Figure S5 – Forest graph demonstrating the results of the sensitivity meta-analysis with retest in less than 2 hours – Curitiba, PR, Brazil, 2023. Figure S6 – Forest graph demonstrating the results of the specificity meta-analysis with retesting at an interval of less than 2 hours – Curitiba, PR, Brazil, 2023. Figure S7 – Forest graph demonstrating the results of the sensitivity meta-analysis with retesting at an interval greater than 2 hours – Curitiba, PR, Brazil, 2023. Figure S8 – Forest graph demonstrating the results of the specificity meta-analysis of studies addressing POT top with 1 or 2 retests – Curitiba, PR, Brazil, 2023. Figure S9 – Forest graph demonstrating the results of the meta-analysis of specificity of studies addressing premature newborns – Curitiba, PR, Brazil, 2023. Figure S10 – Forest graph demonstrating the results of the sensitivity meta-analysis of studies addressing premature newborns – Curitiba, PR, Brazil, 2023. ). In this case, sensitivity was 76% (95% CI: 65% to 84%) and specificity was 99% (95% CI: 99% to 99%).

An analysis was then carried out with studies that ­addressed the premature population, newborns with a gestational age of less than 36 weeks at birth. The analysis consisted of 4 studies(2323. Van Naarden Braun K, Grazel R, Koppel R, Lakshminrusimha S, Lohr J, Kumar P, et al. Evaluation of critical congenital heart defects screening using pulse oximetry in the neonatal intensive care unit. J Perinatol. 2017;37(10):1117–23. doi: http://dx.doi.org/10.1038/jp.2017.105. PubMed PMID: 28749481.
https://doi.org/10.1038/jp.2017.105...
,3939. Patriciu M, Avasiloaiei A, Moscalu M, Stamatin M. Pulse oximetry during the first 24 hours as a screening tool for congenital heart defects. J Crit Care Med. 2017;3(1):12–7. doi: http://dx.doi.org/10.1515/jccm-2017-0004. PubMed PMID: 29967865.
https://doi.org/10.1515/jccm-2017-0004...
,4545. Tsao PC, Shiau YS, Chiang SH, Ho HC, Liu YL, Chung YF, et al. Development of a newborn screening program for Critical Congenital Heart Disease (CCHD) in Taipei. PLoS One. 2016;11(4):e0153407. doi: http://dx.doi.org/10.1371/journal.pone.0153407. PubMed PMID: 27073996.
https://doi.org/10.1371/journal.pone.015...
,4646. Vaidyanathan B, Sathish G, Mohanan ST, Sundaram KR, Warrier KK, Kumar RK. Clinical screening for Congenital heart disease at birth: a prospective study in a community hospital in Kerala. Indian Pediatr. 2011;48(1):25–30. doi: http://dx.doi.org/10.1007/s13312-011-0021-1. PubMed PMID: 20972295.
https://doi.org/10.1007/s13312-011-0021-...
) and 124,469 studies (Figures S9 Supplementary Material The following online material is available for this article: Chart S1 – Search strategies for the databases used – Curitiba, PR, Brazil, 2023. Chart S2 – Data collection instrument according to identification of studies with false positive, false negative, true positive and true negative value – Curitiba, PR, Brazil, 2023. Figure S1 – Forest graph demonstrating the results of the sensitivity meta-analysis of studies addressing POT between 24 and 48 hours of the newborn’s life – Curitiba, PR, Brazil, 2023. Figure S2 – Forest graph demonstrating the results of the sensitivity meta-analysis of studies addressing POT between 24 and 48 hours of the newborn’s life – Curitiba, PR, Brazil, 2023. Figure S3 – Forest graph demonstrating the results of the sensitivity meta-analysis of studies addressing POT with 1 or 2 retests – Curitiba, PR, Brazil, 2023. Figure S4 – Forest graph demonstrating the results of the specificity meta-analysis of studies addressing POT top with 1 or 2 retests – Curitiba, PR, Brazil, 2023. Figure S5 – Forest graph demonstrating the results of the sensitivity meta-analysis with retest in less than 2 hours – Curitiba, PR, Brazil, 2023. Figure S6 – Forest graph demonstrating the results of the specificity meta-analysis with retesting at an interval of less than 2 hours – Curitiba, PR, Brazil, 2023. Figure S7 – Forest graph demonstrating the results of the sensitivity meta-analysis with retesting at an interval greater than 2 hours – Curitiba, PR, Brazil, 2023. Figure S8 – Forest graph demonstrating the results of the specificity meta-analysis of studies addressing POT top with 1 or 2 retests – Curitiba, PR, Brazil, 2023. Figure S9 – Forest graph demonstrating the results of the meta-analysis of specificity of studies addressing premature newborns – Curitiba, PR, Brazil, 2023. Figure S10 – Forest graph demonstrating the results of the sensitivity meta-analysis of studies addressing premature newborns – Curitiba, PR, Brazil, 2023. and S10 Supplementary Material The following online material is available for this article: Chart S1 – Search strategies for the databases used – Curitiba, PR, Brazil, 2023. Chart S2 – Data collection instrument according to identification of studies with false positive, false negative, true positive and true negative value – Curitiba, PR, Brazil, 2023. Figure S1 – Forest graph demonstrating the results of the sensitivity meta-analysis of studies addressing POT between 24 and 48 hours of the newborn’s life – Curitiba, PR, Brazil, 2023. Figure S2 – Forest graph demonstrating the results of the sensitivity meta-analysis of studies addressing POT between 24 and 48 hours of the newborn’s life – Curitiba, PR, Brazil, 2023. Figure S3 – Forest graph demonstrating the results of the sensitivity meta-analysis of studies addressing POT with 1 or 2 retests – Curitiba, PR, Brazil, 2023. Figure S4 – Forest graph demonstrating the results of the specificity meta-analysis of studies addressing POT top with 1 or 2 retests – Curitiba, PR, Brazil, 2023. Figure S5 – Forest graph demonstrating the results of the sensitivity meta-analysis with retest in less than 2 hours – Curitiba, PR, Brazil, 2023. Figure S6 – Forest graph demonstrating the results of the specificity meta-analysis with retesting at an interval of less than 2 hours – Curitiba, PR, Brazil, 2023. Figure S7 – Forest graph demonstrating the results of the sensitivity meta-analysis with retesting at an interval greater than 2 hours – Curitiba, PR, Brazil, 2023. Figure S8 – Forest graph demonstrating the results of the specificity meta-analysis of studies addressing POT top with 1 or 2 retests – Curitiba, PR, Brazil, 2023. Figure S9 – Forest graph demonstrating the results of the meta-analysis of specificity of studies addressing premature newborns – Curitiba, PR, Brazil, 2023. Figure S10 – Forest graph demonstrating the results of the sensitivity meta-analysis of studies addressing premature newborns – Curitiba, PR, Brazil, 2023. ). Through meta-analysis, specificity was 97% (95% CI: 96% to 97%) and sensitivity was 29% (95% CI: 25% to 33%).

After evaluating the certainty of the evidence using the GRADE system, according to the subgroup analyzed above, it was noticed that the certainty of evidence remained moderate for specificity regardless of sample characteristics. The reason for reducing the level of evidence was the high inconsistency highlighted by the meta-analysis. Regarding sensitivity, it was between very low, low and moderate, that is, the characteristics of the sample changed the level of evidence of the test sensitivity. Therefore, depending on the time of birth and application of the test, and the possibility of retesting, the heterogeneity of the sample was reduced and the level of evidence for POT sensitivity was raised.

Analysis of the methodological quality of the included studies demonstrated that all were classified as excellent quality, as they met the 10 evaluation criteria according to the JBI standardized checklist for diagnostic accuracy studies.

DISCUSSION

The present systematic review demonstrated that POT has a specificity of 98% and sensitivity of 47%. Even though sensitivity has an important value for the accuracy of diagnostic tests, high specificity impacts on lower costs related to the lack of need for other tests(4949. Gunaratne CR, Hewage I, Fonseka A, Thennakoon S. Comparison of pulse oximetry screening versus routine clinical examination in detecting critical congenital heart disease in newborns. Sri Lanka J Child Health. 2021;50(1):4–11. doi: http://dx.doi.org/10.4038/sljch.v50i1.9393.
https://doi.org/10.4038/sljch.v50i1.9393...
). Moreover, in the specific context of CHD, the high specificity of POT allows for the safe discharge of newborns with a negative test. Regarding the outcomes of interest in this review, the specificity rate is consistent with other studies(4343. Singh A, Rasiah SV, Ewer AK. The impact of routine predischarge pulse oximetry screening in a regional neonatal unit. Arch Dis Child Fetal Neonatal Ed. 2014;99(4):F297–302. doi: http://dx.doi.org/10.1136/archdischild-2013-305657. PubMed PMID: 24646619.
https://doi.org/10.1136/archdischild-201...
,4444. Tautz J, Merkel C, Loersch F, Egen O, Hägele F, Thon HM, et al. Implication of pulse oxymetry screening for detection of congenital heart defects. Klin Padiatr. 2010;222(5):291–5. doi: http://dx.doi.org/10.1055/s-0030-1253391. PubMed PMID: 20458668.
https://doi.org/10.1055/s-0030-1253391...
) published and the sensitivity result differs from previous studies, justified mainly by studies that used a saturation measurement protocol before 24 hours of birth, which presented lower values(2525. Diller CL, Kelleman MS, Kupke KG, Quary SC, Kochilas LK, Oster ME. A modified algorithm for critical congenital heart disease screening using pulse oximetry. Pediatrics. 2018;141(5):1–7. doi: http://dx.doi.org/10.1542/peds.2017-4065. PubMed PMID: 29691284.
https://doi.org/10.1542/peds.2017-4065...
,4040. Prudhoe S, Abu-Harb M, Richmond S, Wren C. Neonatal screening for critical cardiovascular anomalies using pulse oximetry. Arch Dis Child Fetal Neonatal Ed. 2013;98(4):F346–50. doi: http://dx.doi.org/10.1136/archdischild-2012-302045. PubMed PMID: 23341250.
https://doi.org/10.1136/archdischild-201...
,4242. Saxena A, Mehta A, Ramakrishnan S, Sharma M, Salhan S, Kalaivani M, et al. Pulse oximetry as a screening tool for detecting major congenital heart defects in Indian newborns. Arch Dis Child Fetal Neonatal Ed. 2015;100(5):F416-21. doi: http://dx.doi.org/10.1136/archdischild-2014-307485. PubMed PMID: 26038347.
https://doi.org/10.1136/archdischild-201...
,4343. Singh A, Rasiah SV, Ewer AK. The impact of routine predischarge pulse oximetry screening in a regional neonatal unit. Arch Dis Child Fetal Neonatal Ed. 2014;99(4):F297–302. doi: http://dx.doi.org/10.1136/archdischild-2013-305657. PubMed PMID: 24646619.
https://doi.org/10.1136/archdischild-201...
,4646. Vaidyanathan B, Sathish G, Mohanan ST, Sundaram KR, Warrier KK, Kumar RK. Clinical screening for Congenital heart disease at birth: a prospective study in a community hospital in Kerala. Indian Pediatr. 2011;48(1):25–30. doi: http://dx.doi.org/10.1007/s13312-011-0021-1. PubMed PMID: 20972295.
https://doi.org/10.1007/s13312-011-0021-...
).

Based on these results, a meta-analysis was carried out by subgroups. In the first subgroup, studies that carried out the test between 24 and 48 hours of the newborn’s life were selected. There was an increase in sensitivity to 67% and specificity remained high as indicated in the literature(1111. Martin GR, Ewer AK, Gaviglio A, Hom LA, Saarinen A, Sontag M, et al. Updated strategies for pulse oximetry screening for critical congenital heart disease. Pediatrics. 2020;146(1):e20191650. doi: http://dx.doi.org/10.1542/peds.2019-1650. PubMed PMID: 32499387.
https://doi.org/10.1542/peds.2019-1650...
). Screening carried out early, before 24 hours, presents higher false positive rates, due to the transition from fetal to neonatal circulation with an impact on pre- and post-ductal saturation(5050. Dilli D, Dogˇan V, Özyurt BM, Özyurt A, Hakan N, Bozabalı S, et al. Should we start a nationwide screening program for critical congenital heart disease in Turkey? A pilot study on four centres with different altitudes. Cardiol Young. 2019;29(4):475–80. doi: http://dx.doi.org/10.1017/S1047951119000052. PubMed PMID: 30957737.
https://doi.org/10.1017/S104795111900005...
).

In the sample of this research, different protocols for POT were also identified. For example: screening was carried out without additional measurements, with (re)testing within 1 hour, within two, three and six hours of the first measurement. Among the studies that carried out the POT between 24h and 48h of birth, those that carried out a retest within one hour were also selected, and in another subgroup with a retest within two hours. We chose this classification because the divergent protocols are found in the literature(66. Brasil, Ministério da Saúde. Nota Técnica nº 18/2021. Orientações para profissionais de saúde quanto à sistematização e padronização do teste de triagem neonatal para Cardiopatia Congênita Crítica (Teste do Coraçãozinho) [Internet]. Diário Oficial da União; Brasília; 2021 [cited 2023 Apr 4]. Available from: https://egestorab.saude.gov.br/image/?file=20211129_I_notatecnica18cardiopatiacongenita_3941354402197404449.pdf.
https://egestorab.saude.gov.br/image/?fi...
,1111. Martin GR, Ewer AK, Gaviglio A, Hom LA, Saarinen A, Sontag M, et al. Updated strategies for pulse oximetry screening for critical congenital heart disease. Pediatrics. 2020;146(1):e20191650. doi: http://dx.doi.org/10.1542/peds.2019-1650. PubMed PMID: 32499387.
https://doi.org/10.1542/peds.2019-1650...
). It was noticed that the POT is dependent on the time of birth of the newborn, that is, the longer the time interval between measurements, the greater the sensitivity.

The study evidenced by Martin et al.(1111. Martin GR, Ewer AK, Gaviglio A, Hom LA, Saarinen A, Sontag M, et al. Updated strategies for pulse oximetry screening for critical congenital heart disease. Pediatrics. 2020;146(1):e20191650. doi: http://dx.doi.org/10.1542/peds.2019-1650. PubMed PMID: 32499387.
https://doi.org/10.1542/peds.2019-1650...
) justifies changing the POT protocol to a retest within one hour and, if a positive result, referral for an echocardiogram, based on the primary study by Diller et al.(2525. Diller CL, Kelleman MS, Kupke KG, Quary SC, Kochilas LK, Oster ME. A modified algorithm for critical congenital heart disease screening using pulse oximetry. Pediatrics. 2018;141(5):1–7. doi: http://dx.doi.org/10.1542/peds.2017-4065. PubMed PMID: 29691284.
https://doi.org/10.1542/peds.2017-4065...
), which has a sample of more than 77 thousand newborns. A simulation was carried out with the two protocols (one retest or two retests) and it was evident that the sensitivity was not changed, presenting a subtle increase in the false positive rate, which, as reported by the authors, is not a criterion for not adopting the protocol with a retest. It is worth highlighting that the study by Diller et al.(2525. Diller CL, Kelleman MS, Kupke KG, Quary SC, Kochilas LK, Oster ME. A modified algorithm for critical congenital heart disease screening using pulse oximetry. Pediatrics. 2018;141(5):1–7. doi: http://dx.doi.org/10.1542/peds.2017-4065. PubMed PMID: 29691284.
https://doi.org/10.1542/peds.2017-4065...
) (2018) presents POT sensitivity of 14% and was carried out before 24 hours of birth.

The change proposed by the Brazilian Society of Pediatrics presents the guidance to carry out two retests, after the first measurement, aiming to reduce the false positive rate. This protocol is presented by Kemper et al.(5151. Kemper AR, Mahle WT, Martin GR, Cooley WC, Kumar P, Morrow R, et al. Strategies for implementing screening for critical congenital heart disease. Pediatrics. 2011;128(5):e1259. doi: http://dx.doi.org/10.1542/peds.2011-1317. PubMed PMID: 21987707.
https://doi.org/10.1542/peds.2011-1317...
), the same study group as Martin et al.(1111. Martin GR, Ewer AK, Gaviglio A, Hom LA, Saarinen A, Sontag M, et al. Updated strategies for pulse oximetry screening for critical congenital heart disease. Pediatrics. 2020;146(1):e20191650. doi: http://dx.doi.org/10.1542/peds.2019-1650. PubMed PMID: 32499387.
https://doi.org/10.1542/peds.2019-1650...
). This study highlighted strategies for the safe and effective implementation of POT screening. Regarding the screening criteria, the group recommended the protocol with two retests. It should be noted that this study also suggests that each maternity hospital consider its particularities, demands of the newborn, family and health professionals. Furthermore, training professionals is essential for screening to be safe and effective.

With the reality of intensive care services, four studies were analyzed(2323. Van Naarden Braun K, Grazel R, Koppel R, Lakshminrusimha S, Lohr J, Kumar P, et al. Evaluation of critical congenital heart defects screening using pulse oximetry in the neonatal intensive care unit. J Perinatol. 2017;37(10):1117–23. doi: http://dx.doi.org/10.1038/jp.2017.105. PubMed PMID: 28749481.
https://doi.org/10.1038/jp.2017.105...
,3939. Patriciu M, Avasiloaiei A, Moscalu M, Stamatin M. Pulse oximetry during the first 24 hours as a screening tool for congenital heart defects. J Crit Care Med. 2017;3(1):12–7. doi: http://dx.doi.org/10.1515/jccm-2017-0004. PubMed PMID: 29967865.
https://doi.org/10.1515/jccm-2017-0004...
,4545. Tsao PC, Shiau YS, Chiang SH, Ho HC, Liu YL, Chung YF, et al. Development of a newborn screening program for Critical Congenital Heart Disease (CCHD) in Taipei. PLoS One. 2016;11(4):e0153407. doi: http://dx.doi.org/10.1371/journal.pone.0153407. PubMed PMID: 27073996.
https://doi.org/10.1371/journal.pone.015...
,4646. Vaidyanathan B, Sathish G, Mohanan ST, Sundaram KR, Warrier KK, Kumar RK. Clinical screening for Congenital heart disease at birth: a prospective study in a community hospital in Kerala. Indian Pediatr. 2011;48(1):25–30. doi: http://dx.doi.org/10.1007/s13312-011-0021-1. PubMed PMID: 20972295.
https://doi.org/10.1007/s13312-011-0021-...
), with a sensitivity of 21% and specificity of 97%, with a low and moderate level of evidence, respectively, which indicates that the POT for screening congenital heart diseases in this specific population is not effective. The authors note that it must be performed and interpreted in the context of other health care. The rate of false positives was higher in studies of intensive services than in studies with full-term populations, as pulmonary complications, prematurity, and other diseases impact the interpretation of saturation data(5252. Guillory C, Creel L, Livingtson J, McKee-Garrett T, Fortunov R, Gong A. A multicenter initiative for critical congenital heart disease newborn screening in texas neonatal intensive care units. Am J Perinatol. 2017;34(9):839–44. doi: http://dx.doi.org/10.1055/s-0037-1599053. PubMed PMID: 28212589.
https://doi.org/10.1055/s-0037-1599053...
).

Only one study addressing screening in a home environment was included(5353. Mosayebi Z, Movahedian AH, Amini E, Asbagh PA, Ghorbansabagh V, Shariat M, et al. Evaluation of pulse oximetry in the early diagnosis of cardiac and non cardiac diseases in healthy newborns. Iran. J. Neonatol. 2020;11(1):43–50. doi: http://dx.doi.org/10.22038/IJN.2019.38511.1608.
https://doi.org/10.22038/IJN.2019.38511....
). An effective test was configured for this context, which is especially important, given that the newborn is without clinical-hospital supervision. However, in this scenario, difficulties arise such as the cost of equipment, lack of professional training, and time required for retests, according to the protocol(5454. Withrow E, Fussman C, Thompson K, Kleyn M. Evaluation of pulse oximetry screening rates among the midwife-attended out-of-hospital birth community in michigan. J Midwifery Womens Health. 2019;64(4):421–6. doi: http://dx.doi.org/10.1111/jmwh.12958. PubMed PMID: 31347781.
https://doi.org/10.1111/jmwh.12958...
). In this context, the possibility of portable oximeters, even with applications on cell phones, as a guide for performance and interpretation of results, would offer a reduction in costs and higher quality of screening(5555. Huizing MJ, Villamor-Martínez E, Chavagne IA, Vanagt WY, Spaanderman MAE, Villamor E. Reliability and validity of a smartphone-paired pulse oximeter for screening of critical congenital heart defects in newborns. Neonatology. 2017;112(4):324–9. doi: http://dx.doi.org/10.1159/000477294. PubMed PMID: 28768288.
https://doi.org/10.1159/000477294...
).

GRADE was chosen for each meta-analysis developed. Even with the grouping by subgroups of studies that methodologically showed similarities, inconsistency remained high. Guyatt et al.(5656. Guyatt G, Zhao Y, Mayer M, Briel M, Mustafa R, Izcovich A, et al. GRADE Guidance 36: updates to GRADE’s approach to addressing inconsistency. J Clin Epidemiol. 2023;158:70–83. doi: http://dx.doi.org/10.1016/j.jclinepi.2023.03.003. PubMed PMID: 36898507.
https://doi.org/10.1016/j.jclinepi.2023....
) point out that inconsistency refers to the variability in the results and not in the characteristics of the studies, and high inconsistency does not demonstrate the incredibility of the results presented. Thus, there was no reduction in the level of evidence for this item by the authors, precisely due to the particularities of the diagnostic accuracy test of interest to the review developed. The imprecision item was responsible for reducing the level of evidence in this review, so that, among the subgroups, the level of evidence for the outcomes of this review was between moderate and high.

Suspected cases, those that require repeated measurement (90–94%), are impacted by the lack of an updated protocol, a trained team and the absence of a structured health network to assist these cases. Finally, it is worth highlighting that nurses provide immediate and mediate care to mother and child during the postpartum period. It has the indication and competence to carry out POT, qualifying assistance in neonatal screening. Thus, the status of knowledge of the correct parameters and possible changes to the test will guarantee better screening and coverage, highlighting, in this sense, that continuing education maintains its status of relevance for the quality of nursing care(55. Murni IK, Wirawan MT, Patmasari L, Sativa ER, Arafuri N, Nugroho S, et al. Delayed diagnosis in children with congenital heart disease: a mixed-method study. BMC Pediatr. 2021;21(1):191. doi: http://dx.doi.org/10.1186/s12887-021-02667-3. PubMed PMID: 33882901.
https://doi.org/10.1186/s12887-021-02667...
,88. Brasil, Ministério da Saúde, Secretaria de Atenção Primária à Saúde. Portaria nº 20, de 10 de junho de 2014. Torna pública a decisão de incorporar a oximetria de pulso – teste do coraçãozinho, a ser realizado de forma universal, fazendo parte da triagem Neonatal no Sistema Único de Saúde – SUS [Internet]. Diário Oficial da União; Brasília; 2021 [cited 2023 Apr 4]. Available from: https://bvsms.saude.gov.br/bvs/saudelegis/sctie/2014/prt0020_10_06_2014.html.
https://bvsms.saude.gov.br/bvs/saudelegi...
,1111. Martin GR, Ewer AK, Gaviglio A, Hom LA, Saarinen A, Sontag M, et al. Updated strategies for pulse oximetry screening for critical congenital heart disease. Pediatrics. 2020;146(1):e20191650. doi: http://dx.doi.org/10.1542/peds.2019-1650. PubMed PMID: 32499387.
https://doi.org/10.1542/peds.2019-1650...
).

Furthermore, the nurse is committed to informing and guiding those responsible for the newborn about neonatal screening, an action that will have a direct impact on its effectiveness. Furthermore, with this proximity to the clientele and guidance, the nurse promotes the reduction of family members’ anxiety regarding suspected or positive cases(55. Murni IK, Wirawan MT, Patmasari L, Sativa ER, Arafuri N, Nugroho S, et al. Delayed diagnosis in children with congenital heart disease: a mixed-method study. BMC Pediatr. 2021;21(1):191. doi: http://dx.doi.org/10.1186/s12887-021-02667-3. PubMed PMID: 33882901.
https://doi.org/10.1186/s12887-021-02667...
,88. Brasil, Ministério da Saúde, Secretaria de Atenção Primária à Saúde. Portaria nº 20, de 10 de junho de 2014. Torna pública a decisão de incorporar a oximetria de pulso – teste do coraçãozinho, a ser realizado de forma universal, fazendo parte da triagem Neonatal no Sistema Único de Saúde – SUS [Internet]. Diário Oficial da União; Brasília; 2021 [cited 2023 Apr 4]. Available from: https://bvsms.saude.gov.br/bvs/saudelegis/sctie/2014/prt0020_10_06_2014.html.
https://bvsms.saude.gov.br/bvs/saudelegi...
,1111. Martin GR, Ewer AK, Gaviglio A, Hom LA, Saarinen A, Sontag M, et al. Updated strategies for pulse oximetry screening for critical congenital heart disease. Pediatrics. 2020;146(1):e20191650. doi: http://dx.doi.org/10.1542/peds.2019-1650. PubMed PMID: 32499387.
https://doi.org/10.1542/peds.2019-1650...
,5757. Singh Y, Chen SE. Impact of pulse oximetry screening to detect congenital heart defects: 5 years’ experience in a UK regional neonatal unit. Eur J Pediatr. 2022;181(2):813–21. doi: http://dx.doi.org/10.1007/s00431-021-04275-w. PubMed PMID: 34618229.
https://doi.org/10.1007/s00431-021-04275...
).

Limitations include the lack of long-term follow-up of patients included in the studies and the inequality in the number of publications and specific protocols already established in developed and developing countries. It should also be highlighted that even with the divergences in the protocols presented, in all contexts evaluated, POT proved to be effective.

Contributions to the Health Sector

The main strength of this systematic review consists of the sample of more than 300 thousand participants, highlighting the robustness of the data presented and that it is unlikely that the publication of new studies will have a significant impact on the sensitivity and specificity outcomes obtained. It is concluded, therefore, that the results presented demonstrate an advance in the knowledge and implementation of POT in practice as a viable, non-invasive test that can be widely used by nurses.

CONCLUSION

This study allowed determining the accuracy of the Pulse Oximetry Test in screening for Congenital Heart Diseases in newborns in the first 48 hours of life. It is concluded that, for the early diagnosis of congenital heart diseases, the POT – Pulse Oximetry Test is a test of moderate sensitivity and high specificity, so that it can be said that it contributes to the diagnosis of negative cases. The profile of benefits presented by POT, and the low magnitude risks, favor its implementation.

According to a meta-analysis carried out in subgroups, POT is more effective when carried out within 24h – 48h of the birth of the newborn, and with protocols that present retests within two hours. It does not show satisfactory effectiveness for premature newborns. Regarding home births, no publication quantity was identified that would allow meta-analysis to be carried out. In the only study included, the test proved to be effective and safe, but limitations were highlighted in its implementation.

Supplementary Material

The following online material is available for this article:

Chart S1 – Search strategies for the databases used – Curitiba, PR, Brazil, 2023.

Chart S2 – Data collection instrument according to identification of studies with false positive, false negative, true positive and true negative value – Curitiba, PR, Brazil, 2023.

Figure S1 – Forest graph demonstrating the results of the sensitivity meta-analysis of studies addressing POT between 24 and 48 hours of the newborn’s life – Curitiba, PR, Brazil, 2023.

Figure S2 – Forest graph demonstrating the results of the sensitivity meta-analysis of studies addressing POT between 24 and 48 hours of the newborn’s life – Curitiba, PR, Brazil, 2023.

Figure S3 – Forest graph demonstrating the results of the sensitivity meta-analysis of studies addressing POT with 1 or 2 retests – Curitiba, PR, Brazil, 2023.

Figure S4 – Forest graph demonstrating the results of the specificity meta-analysis of studies addressing POT top with 1 or 2 retests – Curitiba, PR, Brazil, 2023.

Figure S5 – Forest graph demonstrating the results of the sensitivity meta-analysis with retest in less than 2 hours – Curitiba, PR, Brazil, 2023.

Figure S6 – Forest graph demonstrating the results of the specificity meta-analysis with retesting at an interval of less than 2 hours – Curitiba, PR, Brazil, 2023.

Figure S7 – Forest graph demonstrating the results of the sensitivity meta-analysis with retesting at an interval greater than 2 hours – Curitiba, PR, Brazil, 2023.

Figure S8 – Forest graph demonstrating the results of the specificity meta-analysis of studies addressing POT top with 1 or 2 retests – Curitiba, PR, Brazil, 2023.

Figure S9 – Forest graph demonstrating the results of the meta-analysis of specificity of studies addressing premature newborns – Curitiba, PR, Brazil, 2023.

Figure S10 – Forest graph demonstrating the results of the sensitivity meta-analysis of studies addressing premature newborns – Curitiba, PR, Brazil, 2023.

Data Availability

The following online material is available from this article: https://doi.org/10.48331/scielodata.TVL6II

  • Financial support This work was carried out with the support of the Coordination for the Improvement of Higher Education Personnel – Brazil (CAPES) – Funding Code 001.

REFERENCES

  • 1.
    Balasubramanian R, Vuppalapati S, Avanthika C, Jhaveri S, Peddi NC, Ahmed S, et al. Epidemiology, genetics and epigenetics of congenital heart diseases in twins. Cureus. 2021;13(8):e17253. doi: http://dx.doi.org/10.7759/cureus.17253. PubMed PMID: 34540478.
    » https://doi.org/10.7759/cureus.17253
  • 2.
    Song J, Huang X, Zhao S, Chen J, Chen R, Wu G, et al. Diagnostic value of pulse oximetry combined with cardiac auscultation in screening congenital heart disease in neonates. J Int Med Res. 2021;49(5):1–10. doi: http://dx.doi.org/10.1177/03000605211016137. PubMed PMID: 34044642.
    » https://doi.org/10.1177/03000605211016137
  • 3.
    Zimmerman MS, Smith AGC, Sable CA, Echko MM, Wilner LB, Olsen HE, et al. Global Burden of Disease, Congenital Heart Disease Collaborators. Global, regional, and national burden of congenital heart disease, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet Child Adolesc Health. 2020;4(3):185–200. doi: http://dx.doi.org/10.1016/S2352-4642(19)30402-X. PubMed PMID: 31978374.
    » https://doi.org/10.1016/S2352-4642(19)30402-X
  • 4.
    Botto LD. From cause to care: can a triple approach to better population data improve the global outlook of congenital heart disease? Am J Med Genet C Semin Med Genet. 2020;184(1):23–35. doi: http://dx.doi.org/10.1002/ajmg.c.31775. PubMed PMID: 32083404.
    » https://doi.org/10.1002/ajmg.c.31775
  • 5.
    Murni IK, Wirawan MT, Patmasari L, Sativa ER, Arafuri N, Nugroho S, et al. Delayed diagnosis in children with congenital heart disease: a mixed-method study. BMC Pediatr. 2021;21(1):191. doi: http://dx.doi.org/10.1186/s12887-021-02667-3. PubMed PMID: 33882901.
    » https://doi.org/10.1186/s12887-021-02667-3
  • 6.
    Brasil, Ministério da Saúde. Nota Técnica nº 18/2021. Orientações para profissionais de saúde quanto à sistematização e padronização do teste de triagem neonatal para Cardiopatia Congênita Crítica (Teste do Coraçãozinho) [Internet]. Diário Oficial da União; Brasília; 2021 [cited 2023 Apr 4]. Available from: https://egestorab.saude.gov.br/image/?file=20211129_I_notatecnica18cardiopatiacongenita_3941354402197404449.pdf
    » https://egestorab.saude.gov.br/image/?file=20211129_I_notatecnica18cardiopatiacongenita_3941354402197404449.pdf
  • 7.
    Sociedade Brasileira de Pediatria, Departamento Científico de Cardiologia e Neonatologia. Sistematização do atendimento ao recém-nascido com suspeita ou diagnóstico de cardiopatia congênita. São Paulo: SPSP; 2022.
  • 8.
    Brasil, Ministério da Saúde, Secretaria de Atenção Primária à Saúde. Portaria nº 20, de 10 de junho de 2014. Torna pública a decisão de incorporar a oximetria de pulso – teste do coraçãozinho, a ser realizado de forma universal, fazendo parte da triagem Neonatal no Sistema Único de Saúde – SUS [Internet]. Diário Oficial da União; Brasília; 2021 [cited 2023 Apr 4]. Available from: https://bvsms.saude.gov.br/bvs/saudelegis/sctie/2014/prt0020_10_06_2014.html
    » https://bvsms.saude.gov.br/bvs/saudelegis/sctie/2014/prt0020_10_06_2014.html
  • 9.
    Pinheiro JMF, Flor TBM, Marinho CSR, Pires VCC, Oliveira LIC, Bezerra MRO, et al. Prevalence of the five newborn screening tests. PLoS One. 2021;16(9):e0257282. doi: http://dx.doi.org/10.1371/journal.pone.0257282. PubMed PMID: 34516590.
    » https://doi.org/10.1371/journal.pone.0257282
  • 10.
    Brasil, Ministério da Saúde. Portaria nº 187, de 3 de fevereiro de 2020. Dispõe sobre a Base de Dados do Programa Nacional de Triagem Neonatal [Internet]. Diário Oficial da União; Brasília; 3 fev. 2020 [cited 2023 Apr 4]. Available from: https://brasilsus.com.br/index.php/pdf/portaria-no-187
    » https://brasilsus.com.br/index.php/pdf/portaria-no-187
  • 11.
    Martin GR, Ewer AK, Gaviglio A, Hom LA, Saarinen A, Sontag M, et al. Updated strategies for pulse oximetry screening for critical congenital heart disease. Pediatrics. 2020;146(1):e20191650. doi: http://dx.doi.org/10.1542/peds.2019-1650. PubMed PMID: 32499387.
    » https://doi.org/10.1542/peds.2019-1650
  • 12.
    Plana MN, Zamora J, Suresh G, Fernandez-Pineda L, Thangaratinam S, Ewer AK. Pulse oximetry screening for critical congenital heart defects. Cochrane Database Syst Rev. 2018;3(3):CD011912. doi: http://dx.doi.org/10.1002/14651858.CD011912.pub2. PubMed PMID: 29494750.
    » https://doi.org/10.1002/14651858.CD011912.pub2
  • 13.
    Thangaratinam S, Brown K, Zamora J, Khan KS, Ewer AK. Pulse oximetry screening for critical congenital heart defects in asymptomatic newborn babies: a systematic review and meta-analysis. Lancet. 2012;379(9835):2459–64. doi: http://dx.doi.org/10.1016/S0140-6736(12)60107-X. PubMed PMID: 22554860.
    » https://doi.org/10.1016/S0140-6736(12)60107-X
  • 14.
    Du C, Liu C, Liu G, Wang H. A meta-analysis about the screening role of pulse oximetry for congenital heart disease. BioMed Res Int. 2017;2017:2123918. doi: http://dx.doi.org/10.1155/2017/2123918. PubMed PMID: 29376068.
    » https://doi.org/10.1155/2017/2123918
  • 15.
    Campbell JM, Kulgar M, Ding S, Carmody DP, Hakonsen SJ, Jadotte YT, et al. Diagnostic test accuracy systematic reviews. In: Aromataris E, Munn Z, editors. JBI manual for evidence synthesis. Adelaide: JBI; 2020. Chapter 9. doi: http://dx.doi.org/10.46658/JBIMES-20-10.
    » https://doi.org/10.46658/JBIMES-20-10
  • 16.
    Salameh JP, Bossuyt PM, McGrath TA, Thombs BD, Hyde CJ, Macaskill P, et al. Preferred reporting items for systematic review and meta-analysis of diagnostic test accuracy studies (PRISMA-DTA) explanation, elaboration, and checklist. BMJ. 2020;370:m2632. doi: http://dx.doi.org/10.1136/bmj.m2632. PubMed PMID: 32816740.
    » https://doi.org/10.1136/bmj.m2632
  • 17.
    Saganski GF, Freire MHS, dos Santos WM. Accuracy of pulse oximetry for screening congenital heart disease: systematic review protocol. Online Braz J Nurs. 2022;21(1). doi: http://dx.doi.org/10.17665/1676-4285.20226610.
    » https://doi.org/10.17665/1676-4285.20226610
  • 18.
    Zamora J, Abraira V, Muriel A, Khan K, Coomarasamy A. Meta-DiSc: a software for meta-analysis of test accuracy data. BMC Med Res Methodol. 2006;6:31. doi: http://dx.doi.org/10.1186/1471-2288-6-31. PubMed PMID: 16836745.
    » https://doi.org/10.1186/1471-2288-6-31
  • 19.
    Schunemann H, Brozek J, Guyatt G, Oxaman A. GRADE handbook [Internet]. The GRADE Working Group; 2013 [cited 2023 Apr 4]. Available from: https://gdt.gradepro.org/app/handbook/handbook.html#h.ged5uqebmir
    » https://gdt.gradepro.org/app/handbook/handbook.html#h.ged5uqebmir
  • 20.
    Almawazini AM, Hanafi HK, Madkhali HA, Majrashi NB. Effectiveness of the critical congenital heart disease screening program for early diagnosis of cardiac abnormalities in newborn infants. Saudi Med J. 2017;38(10):1019–24. doi: http://dx.doi.org/10.15537/smj.2017.10.20295. PubMed PMID: 28917066.
    » https://doi.org/10.15537/smj.2017.10.20295
  • 21.
    Andrews JP, Ross AS, Salazar MA, Tracy NA, Burke Jr BL. Smooth implementation of critical congenital heart defect screening in a newborn nursery. Clin Pediatr. 2014;53(2):173–6. doi: http://dx.doi.org/10.1177/0009922813502850. PubMed PMID: 24037922.
    » https://doi.org/10.1177/0009922813502850
  • 22.
    Arlettaz R, Bauschatz AS, Monkhoff M, Essers B, Bauersfeld U. The contribution of pulse oximetry to the early detection of congenital heart disease in newborns. Eur J Pediatr. 2006;165(2):94–8. doi: http://dx.doi.org/10.1007/s00431-005-0006-y. PubMed PMID: 16211399.
    » https://doi.org/10.1007/s00431-005-0006-y
  • 23.
    Van Naarden Braun K, Grazel R, Koppel R, Lakshminrusimha S, Lohr J, Kumar P, et al. Evaluation of critical congenital heart defects screening using pulse oximetry in the neonatal intensive care unit. J Perinatol. 2017;37(10):1117–23. doi: http://dx.doi.org/10.1038/jp.2017.105. PubMed PMID: 28749481.
    » https://doi.org/10.1038/jp.2017.105
  • 24.
    Cubells E, Torres B, Nuñez-Ramiro A, Sánchez-Luna M, Izquierdo I, Vento M. Congenital critical heart defect screening in a health area of the community of Valencia (Spain): a prospective observational study. Int J Neonatal Screen. 2018;4(1):3. doi: http://dx.doi.org/10.3390/ijns4010003. PubMed PMID: 33072929.
    » https://doi.org/10.3390/ijns4010003
  • 25.
    Diller CL, Kelleman MS, Kupke KG, Quary SC, Kochilas LK, Oster ME. A modified algorithm for critical congenital heart disease screening using pulse oximetry. Pediatrics. 2018;141(5):1–7. doi: http://dx.doi.org/10.1542/peds.2017-4065. PubMed PMID: 29691284.
    » https://doi.org/10.1542/peds.2017-4065
  • 26.
    Donia AES, Tolba OA. Use of early pulse oximetry in the detection of cardiac lesions among asymptomatic term newborns. Gaz Egypt Paediatr Assoc. 2016;64(1):1–5. doi: http://dx.doi.org/10.1016/j.epag.2016.02.001.
    » https://doi.org/10.1016/j.epag.2016.02.001
  • 27.
    Gamhewage NC, Perera KSY, Weerasekera M. Effectiveness of newborn pulse oximetry screening for the identification of critical congenital heart disease in a tertiary care hospital in Sri Lanka. Sri Lanka J Child Health. 2021;50(4):699–703. doi: http://dx.doi.org/10.4038/sljch.v50i4.9890.
    » https://doi.org/10.4038/sljch.v50i4.9890
  • 28.
    Gong A, Livingston J, Creel L, Ocampo E, McKee-Garrett T, Guillory C. Texas Pulse Oximetry Project: a multicenter educational and quality improvement project for implementation of critical congenital heart disease screening using pulse oximetry. Am J Perinatol. 2017;34(9):856–60. doi: http://dx.doi.org/10.1055/s-0037-1599214. PubMed PMID: 28264208.
    » https://doi.org/10.1055/s-0037-1599214
  • 29.
    Havelund KW, Hulgaard M, Malberg D, Fenger-Gron J. Implementation of pulse oximetry screening in a Danish maternity ward. Dan Med J. 2019;66(11):1–4. PubMed PMID: 31686645.
  • 30.
    Jones AJ, Howarth C, Nicholl R, Mat-Ali E, Knowles R. The impact and efficacy of routine pulse oximetry screening for CHD in a local hospital. Cardiol Young. 2016;26(7):1397–405. doi: http://dx.doi.org/10.1017/S1047951115002784. PubMed PMID: 26905447.
    » https://doi.org/10.1017/S1047951115002784
  • 31.
    Kardasevic M, Jovanovic I, Samardzic JP. Implementation of congenital heart diseases screening at the Bihac Cantonal Hospital. Mater Sociomed. 2017;29(1):45–7. doi: http://dx.doi.org/10.5455/msm.2017.29.45-47. PubMed PMID: 28484354.
    » https://doi.org/10.5455/msm.2017.29.45-47
  • 32.
    Manja V, Mathew B, Carrion V, Lakshminrusimha S. Critical congenital heart disease screening by pulse oximetry in a neonatal intensive care unit. J Perinatol. 2015;35(1):67–71. doi: http://dx.doi.org/10.1038/jp.2014.135. PubMed PMID: 25058746.
    » https://doi.org/10.1038/jp.2014.135
  • 33.
    Meberg A, Andreassen A, Brunvand L, Markestad T, Moster D, Nietsch L, et al. Pulse oximetry screening as a complementary strategy to detect critical congenital heart defects. Acta Paediatr. 2009;98(4):682–6. doi: http://dx.doi.org/10.1111/j.1651-2227.2008.01199.x. PubMed PMID: 19154526.
    » https://doi.org/10.1111/j.1651-2227.2008.01199.x
  • 34.
    Meberg A, Brügmann-Pieper S, Due Jr R, Eskedal L, Fagerli I, Farstad T, et al. First day of life pulse oximetry screening to detect congenital heart defects. J Pediatr. 2008;152(6):761–5. doi: http://dx.doi.org/10.1016/j.jpeds.2007.12.043. PubMed PMID: 18492511.
    » https://doi.org/10.1016/j.jpeds.2007.12.043
  • 35.
    Miller K, Vig K, Goetz E, Spicer G, Yang AJ, Hokanson JS. Pulse oximetry screening for critical congenital heart disease in planned out of hospital births and the incidence of critical congenital heart disease in the Plain community. J Perinatol. 2016;36(12):1088–91. doi: http://dx.doi.org/10.1038/jp.2016.135. PubMed PMID: 27583398.
    » https://doi.org/10.1038/jp.2016.135
  • 36.
    Mohsin M, Humayun KN, Atiq M. Clinical screening for congenital heart disease in newborns at a tertiary care hospital of a developing country. Cureus. 2019;11(6):e4808. doi: http://dx.doi.org/10.7759/cureus.4808. PubMed PMID: 31403007.
    » https://doi.org/10.7759/cureus.4808
  • 37.
    Mosayebi Z, Movahedian AH, Amini E, Asbagh PA, Ghorbansabagh V, Shariat M, et al. Evaluation of pulse oximetry in the early diagnosis of cardiac and noncardiac diseases in healthy newborns. Iran. J. Neonatol. 2020;11:43–50. doi: http://dx.doi.org/10.22038/IJN.2019.38511.1608.
    » https://doi.org/10.22038/IJN.2019.38511.1608
  • 38.
    Özalkaya E, Akdagˇ A, S¸en I, Cömert E, Yaren HM. Early screening for critical congenital heart defects in asymptomatic newborns in Bursa province. J Matern Fetal Neonatal Med. 2016;29(7):1105–7. doi: http://dx.doi.org/10.3109/14767058.2015.1035642. PubMed PMID: 25902399.
    » https://doi.org/10.3109/14767058.2015.1035642
  • 39.
    Patriciu M, Avasiloaiei A, Moscalu M, Stamatin M. Pulse oximetry during the first 24 hours as a screening tool for congenital heart defects. J Crit Care Med. 2017;3(1):12–7. doi: http://dx.doi.org/10.1515/jccm-2017-0004. PubMed PMID: 29967865.
    » https://doi.org/10.1515/jccm-2017-0004
  • 40.
    Prudhoe S, Abu-Harb M, Richmond S, Wren C. Neonatal screening for critical cardiovascular anomalies using pulse oximetry. Arch Dis Child Fetal Neonatal Ed. 2013;98(4):F346–50. doi: http://dx.doi.org/10.1136/archdischild-2012-302045. PubMed PMID: 23341250.
    » https://doi.org/10.1136/archdischild-2012-302045
  • 41.
    Richmond S, Reay G, Abu Harb M. Routine pulse oximetry in the asymptomatic newborn. Arch Dis Child Fetal Neonatal Ed. 2002;87(2):83–8. doi: http://dx.doi.org/10.1136/fn.87.2.F83. PubMed PMID: 12193511.
    » https://doi.org/10.1136/fn.87.2.F83
  • 42.
    Saxena A, Mehta A, Ramakrishnan S, Sharma M, Salhan S, Kalaivani M, et al. Pulse oximetry as a screening tool for detecting major congenital heart defects in Indian newborns. Arch Dis Child Fetal Neonatal Ed. 2015;100(5):F416-21. doi: http://dx.doi.org/10.1136/archdischild-2014-307485. PubMed PMID: 26038347.
    » https://doi.org/10.1136/archdischild-2014-307485
  • 43.
    Singh A, Rasiah SV, Ewer AK. The impact of routine predischarge pulse oximetry screening in a regional neonatal unit. Arch Dis Child Fetal Neonatal Ed. 2014;99(4):F297–302. doi: http://dx.doi.org/10.1136/archdischild-2013-305657. PubMed PMID: 24646619.
    » https://doi.org/10.1136/archdischild-2013-305657
  • 44.
    Tautz J, Merkel C, Loersch F, Egen O, Hägele F, Thon HM, et al. Implication of pulse oxymetry screening for detection of congenital heart defects. Klin Padiatr. 2010;222(5):291–5. doi: http://dx.doi.org/10.1055/s-0030-1253391. PubMed PMID: 20458668.
    » https://doi.org/10.1055/s-0030-1253391
  • 45.
    Tsao PC, Shiau YS, Chiang SH, Ho HC, Liu YL, Chung YF, et al. Development of a newborn screening program for Critical Congenital Heart Disease (CCHD) in Taipei. PLoS One. 2016;11(4):e0153407. doi: http://dx.doi.org/10.1371/journal.pone.0153407. PubMed PMID: 27073996.
    » https://doi.org/10.1371/journal.pone.0153407
  • 46.
    Vaidyanathan B, Sathish G, Mohanan ST, Sundaram KR, Warrier KK, Kumar RK. Clinical screening for Congenital heart disease at birth: a prospective study in a community hospital in Kerala. Indian Pediatr. 2011;48(1):25–30. doi: http://dx.doi.org/10.1007/s13312-011-0021-1. PubMed PMID: 20972295.
    » https://doi.org/10.1007/s13312-011-0021-1
  • 47.
    Walsh W. Evaluation of pulse oximetry screening in Middle Tennessee: cases for consideration before universal screening. J Perinatol. 2011;31(2):125–9. doi: http://dx.doi.org/10.1038/jp.2010.70. PubMed PMID: 20508595.
    » https://doi.org/10.1038/jp.2010.70
  • 48.
    Zayachnikova T, Delryu N, Shishimorov I, Magnitskaya O, Belan E. Accuracy of pulse oximetryfor early detection of critical congenital heart disease in Volgograd region (Russia). Archive Euromedica. 2020;10(2):53–4. doi: http://dx.doi.org/10.35630/2199-885X/2020/10/2.16.
    » https://doi.org/10.35630/2199-885X/2020/10/2.16
  • 49.
    Gunaratne CR, Hewage I, Fonseka A, Thennakoon S. Comparison of pulse oximetry screening versus routine clinical examination in detecting critical congenital heart disease in newborns. Sri Lanka J Child Health. 2021;50(1):4–11. doi: http://dx.doi.org/10.4038/sljch.v50i1.9393.
    » https://doi.org/10.4038/sljch.v50i1.9393
  • 50.
    Dilli D, Dogˇan V, Özyurt BM, Özyurt A, Hakan N, Bozabalı S, et al. Should we start a nationwide screening program for critical congenital heart disease in Turkey? A pilot study on four centres with different altitudes. Cardiol Young. 2019;29(4):475–80. doi: http://dx.doi.org/10.1017/S1047951119000052. PubMed PMID: 30957737.
    » https://doi.org/10.1017/S1047951119000052
  • 51.
    Kemper AR, Mahle WT, Martin GR, Cooley WC, Kumar P, Morrow R, et al. Strategies for implementing screening for critical congenital heart disease. Pediatrics. 2011;128(5):e1259. doi: http://dx.doi.org/10.1542/peds.2011-1317. PubMed PMID: 21987707.
    » https://doi.org/10.1542/peds.2011-1317
  • 52.
    Guillory C, Creel L, Livingtson J, McKee-Garrett T, Fortunov R, Gong A. A multicenter initiative for critical congenital heart disease newborn screening in texas neonatal intensive care units. Am J Perinatol. 2017;34(9):839–44. doi: http://dx.doi.org/10.1055/s-0037-1599053. PubMed PMID: 28212589.
    » https://doi.org/10.1055/s-0037-1599053
  • 53.
    Mosayebi Z, Movahedian AH, Amini E, Asbagh PA, Ghorbansabagh V, Shariat M, et al. Evaluation of pulse oximetry in the early diagnosis of cardiac and non cardiac diseases in healthy newborns. Iran. J. Neonatol. 2020;11(1):43–50. doi: http://dx.doi.org/10.22038/IJN.2019.38511.1608.
    » https://doi.org/10.22038/IJN.2019.38511.1608
  • 54.
    Withrow E, Fussman C, Thompson K, Kleyn M. Evaluation of pulse oximetry screening rates among the midwife-attended out-of-hospital birth community in michigan. J Midwifery Womens Health. 2019;64(4):421–6. doi: http://dx.doi.org/10.1111/jmwh.12958. PubMed PMID: 31347781.
    » https://doi.org/10.1111/jmwh.12958
  • 55.
    Huizing MJ, Villamor-Martínez E, Chavagne IA, Vanagt WY, Spaanderman MAE, Villamor E. Reliability and validity of a smartphone-paired pulse oximeter for screening of critical congenital heart defects in newborns. Neonatology. 2017;112(4):324–9. doi: http://dx.doi.org/10.1159/000477294. PubMed PMID: 28768288.
    » https://doi.org/10.1159/000477294
  • 56.
    Guyatt G, Zhao Y, Mayer M, Briel M, Mustafa R, Izcovich A, et al. GRADE Guidance 36: updates to GRADE’s approach to addressing inconsistency. J Clin Epidemiol. 2023;158:70–83. doi: http://dx.doi.org/10.1016/j.jclinepi.2023.03.003. PubMed PMID: 36898507.
    » https://doi.org/10.1016/j.jclinepi.2023.03.003
  • 57.
    Singh Y, Chen SE. Impact of pulse oximetry screening to detect congenital heart defects: 5 years’ experience in a UK regional neonatal unit. Eur J Pediatr. 2022;181(2):813–21. doi: http://dx.doi.org/10.1007/s00431-021-04275-w. PubMed PMID: 34618229.
    » https://doi.org/10.1007/s00431-021-04275-w

Edited by

ASSOCIATE EDITOR

Vanessa de Brito Poveda

Publication Dates

  • Publication in this collection
    01 Mar 2024
  • Date of issue
    2023

History

  • Received
    10 Aug 2023
  • Accepted
    06 Dec 2023
Universidade de São Paulo, Escola de Enfermagem Av. Dr. Enéas de Carvalho Aguiar, 419 , 05403-000 São Paulo - SP/ Brasil, Tel./Fax: (55 11) 3061-7553, - São Paulo - SP - Brazil
E-mail: reeusp@usp.br