Objective: to map the scientific literature on the clinical and demographic characteristics of Long COVID-19.
Method: this is a scoping review based on the principles recommended by the JBI and the PRISMA guidelines for data extraction, carried out on four databases. The PCC strategy was used for data collection, and the results were described and diagrammed. The studies were selected after removing duplicates, individual and peer review.
Results: an analysis of the 13 articles selected showed that Long COVID affects all age groups and people of both sexes, presenting a multiplicity of symptoms, such as fatigue (61.5%), dyspnea (46.1%), changes in smell and/or taste (38.6%), anxiety (15.3%) and cognitive impairment (30.7%). Females were found to be at increased risk of developing Long COVID.
Conclusion: identifying the symptoms prevalent in Long COVID contributes to public health strategies for diagnosing and assisting people affected by the disease. Future studies are recommended on the approach to the persistence of symptoms in Long COVID and the relationship between adherence to the vaccination schedule against COVID-19, gender, race/ethnicity, degree of susceptibility in the different age groups, level of education and income, as well as the most recurrent comorbidities in the population
Descriptors:
Post-acute COVID-19 Syndrome; COVID-19; Signs and Symptoms; Population Characteristics; Pandemics; Review
Highlights:
(1) It was found that Long COVID affects all age groups of both sexes.
(2) Most common symptoms: fatigue, dyspnea and altered sense of smell and/or taste.
(3) Risk factors: female gender, COVID-19 severity and comorbidities.
Objetivo: mapear la literatura científica sobre las características clínicas y demográficas de la COVID prolongada.
Método: se trata de una revisión de alcance basada en los principios recomendados por el JBI y las directrices del PRISMA para la extracción de datos, realizada a partir de cuatro bases de datos. Se utilizó la estrategia PCC para la recolección de datos, siendo los resultados descritos y diagramados. La selección de los estudios se realizó después de la eliminación de duplicados, evaluación individual y en pares.
Resultados: un análisis de los 13 artículos seleccionados mostró que la COVID prolongada afecta a todas las franjas etarias y a personas de ambos sexos, presentando una multiplicidad de síntomas, como fatiga (61,5%), disnea (46,1%), alteraciones en el olfato y/o gusto (38,6%), ansiedad (15,3%) y deterioro cognitivo (30,7%). En el sexo femenino se identificó un mayor riesgo de desarrollar COVID prolongada.
Conclusión: la identificación de los síntomas prevalentes en la COVID prolongada contribuye a la estrategia de salud pública, para el diagnóstico y asistencia a las personas afectadas por la enfermedad. Se recomiendan estudios futuros sobre el abordaje de la persistencia de los síntomas en la COVID prolongada y la relación de la adherencia al esquema de vacunación contra la COVID-19, sexo, raza/etnia, grado de susceptibilidad en las diferentes franjas etarias, nivel educativo e ingresos, además de las comorbilidades más frecuentes en la población.
Descriptores:
Síndrome Post Agudo de COVID-19; COVID-19; Signos y Síntomas; Características de la Población; Pandemias; Revisión
Destacados:
(1) Se identificó que la COVID prolongada afecta a todas las franjas etarias de ambos sexos.
(2) Síntomas más frecuentes: fatiga, disnea y alteración en el olfato y/o gusto.
(3) Factores de riesgo: sexo femenino, gravedad de la COVID-19 y comorbilidades.
Objetivo: mapear a literatura científica sobre as características clínicas e demográficas da COVID Longa.
Método: trata-se de uma revisão de escopo baseada nos princípios preconizados pelo JBI e as diretrizes do PRISMA para a extração dos dados, realizada a partir de quatro bases de dados. Utilizou-se a estratégia PCC para a coleta de dados, sendo os resultados descritos e diagramados. A seleção dos estudos foi realizada após a remoção de duplicatas, avaliação individual e em pares.
Resultados: uma análise dos 13 artigos selecionados mostraram que a COVID Longa atinge todas as faixas etárias e pessoas de ambos os sexos, apresentando uma multiplicidade de sintomas, como fadiga (61,5%), dispneia (46,1%), alterações no olfato e/ou paladar (38,6%), ansiedade (15,3%) e comprometimento cognitivo (30,7%). No sexo feminino foi identificado risco aumentado para desenvolver COVID Longa.
Conclusão: a identificação dos sintomas prevalentes na COVID Longa contribuem na estratégia de saúde pública, para o diagnóstico e assistência às pessoas acometidas pela doença. Recomenda-se estudos futuros sobre a abordagem da persistência dos sintomas na COVID Longa e a relação da adesão ao esquema vacinal contra a COVID-19, sexo, raça/etnia, grau de susceptibilidade nas diferentes faixas etárias, nível de escolaridade e renda além das comorbidades mais recorrentes na população.
Descritores:
Síndrome de COVID-19 Pós-Aguda; COVID-19; Sinais e Sintomas; Características da População; Pandemias; Revisão
Destaques:
(1) Identificou-se que a COVID Longa acomete todas as faixas etárias de ambos os sexos.
(2) Sintomas mais frequentes: fadiga, dispneia e alteração no olfato e/ou paladar.
(3) Fatores de risco: sexo feminino, gravidade de COVID-19 e comorbidades.
Introduction
The novel coronavirus disease (COVID-19) is not restricted to an acute illness, and about 10 to 50% of infected patients can progress to Long COVID, characterized by a multisystemic disease with heterogeneous symptoms(1).
Long COVID can occur in individuals with probable or confirmed infection caused by the virus known as Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2)(2). Long COVID is commonly observed three months after the diagnosis of infection in the acute phase and symptoms persist for at least two months and cannot be explained by an alternative diagnosis. In addition, symptoms may reappear after the initial recovery from an acute episode of COVID-19 or persist from the initial illness; furthermore, symptoms may fluctuate or recur between the period(2).
In this scenario, COVID-19 can affect several organ systems and cause a series of symptoms that are not restricted to the lungs. Thus, the significant number of people who experience symptoms ranging from severe fatigue to neurological disorders experience the negative consequences of this phenomenon, while suffering damage to their quality of life(3).
At the same time, Long COVID has a higher prevalence among comorbid patients who report fatigue, brain fog and myalgia as their main symptoms, which can be multiple and of varying intensity, depending on the area of the body affected. Furthermore, when a health professional sees a patient with these symptoms, they may associate them with psychosomatic causes such as depression and anxiety, which makes it difficult to diagnose Long COVID(1).
In this way, the pathophysiological mechanisms of Long COVID are not yet fully understood and the diversity and complexity of the symptoms make it difficult to categorize them, which contributes to the gap in knowledge regarding the diagnosis and treatment of the disease. Therefore, studies on this subject are essential in order to contribute to the implementation of public health strategies and to help health services identify the main symptoms manifested and which people are more susceptible to developing Long COVID.
Therefore, treating the disease beyond its acute course requires research aimed at identifying the symptoms and pathophysiology of Long COVID, as well as ways of ensuring an accurate diagnosis in order to offer qualified and effective care. Therefore, this study aims to map the scientific literature on the clinical and demographic characteristics of Long COVID.
Method
Type of study
A Scoping Review (SR) was carried out based on the principles and phases recommended by the Joanna Briggs Institute (JBI), namely: (1) identification of the research question; (2) identification of relevant studies; (3) selection of studies; (4) data extraction; (5) separation, summarization and reporting of results; and (6) dissemination of results(4). The protocol for this study is published in the Open Science Framework: https://doi.org/10.17605/OSF.IO/QRS4J.
Scenario
The bibliographic research was conducted in the electronic databases: LILACS, PubMed, Scopus and Web of Science, and the searches were conducted using the following descriptors and/or alternative terms: acute post-COVID-19 syndrome, sequelae after SARS-CoV-2 infection, long-term COVID, clinical symptoms and signs and symptoms; as found in the Health Sciences Descriptors (DeCS) and Medical Subject Headings (MeSH) (Figure 1).
Period
Data searches took place between May and June 2023.
Selection criteria
The inclusion criteria were: original articles, published between January 2020 and January 2023 and in Portuguese, English and/or Spanish. Articles that were not available in full, whose titles and abstracts did not answer the guiding question, as well as opinion articles, editorials, reviews and book chapters were excluded. The study period refers to the beginning of the COVID-19 pandemic and consequently of publications related to the persistence of symptoms of this disease.
Data collection
In order to conduct this study, the PCC (Population, Concept and Context) strategy was used, with “P” being people with Long COVID; “C” being symptoms and “C” being the COVID-19 pandemic, and the following guiding question was defined: “What symptoms of Long COVID are presented by people, considering the clinical and demographic characteristics?”.
Instruments used to collect information
To select the studies, after implementing the search strategy in the aforementioned electronic databases, the articles were imported into the StArt (State of the Art through Systematic Review) web application, in order to select the studies on two levels. This review tool was developed by the Software Engineering Research Laboratory (LaPES) at the Federal University of São Carlos (UFSCar)(5). Thus, during the first stage of selection, the titles and abstracts were read, followed by the full references. The reference lists of all the studies found were also checked.
Data processing and analysis
The eligible studies were retrieved in their entirety and assessed by three researchers, and any differences were discussed until a consensus was reached and the final selection made. PRISMA (extension for scoping reviews) guidelines were followed for data extraction and presentation(6). The process of selecting the studies and the relevant information extracted from each selected article are presented in figures, in descriptive format.
Ethical aspects
As this is a scoping study, approval by the Research Ethics Committee is not required.
Results
A total of 536 articles were imported into StArt, of which four were excluded for being duplicates. Thus, 532 articles were considered for title and abstract analysis, of which 498 studies were excluded because they did not meet the inclusion criteria. Thus, 34 articles were included for full reading. After reading, 21 studies were excluded because they did not answer the guiding question, and 13 studies were selected in the end (Figure 2).
In terms of the types of studies included in this review, Figure 3 shows that 8 (61.5%) were cohort studies, 3 (23.0%) were case studies, 1 (7.6%) was a case-control study and 1 (7.6%) was a descriptive study. As for the countries of the studies, 2 (15%) were carried out in the United States; in addition, countries such as Saudi Arabia, Belgium, Brazil, China, Egypt, Spain, France, Greece, Italy, London and Switzerland appear with only 1 (7.6%) study each.
With regard to demographic data, it was found that in 5 (38.4%) studies the average age of Long COVID cases ranged from 42.4 to 55.5 years, in studies where the sample was made up of both sexes, four described their samples with the highest percentages corresponding to men and three studies were predominantly female.
The most frequently observed symptoms were fatigue (61.5%)(1,7,9,11,13-16), dyspnoea (46.1%)(1,8-9,11,13,17), changes in smell and/or taste (38.6)(1,7,9,13,17), anxiety (15.3%)(1,15) and cognitive impairment (30.7%)(1,13-14,16).
With regard to the clinical characteristics of the presence of pre-existing illnesses in people who manifested signs and symptoms suggestive of Long COVID-19, only 5 (38.4%) studies described the most frequent comorbidities observed in their samples, with diabetes mellitus and hypertension being predominantly reported(9,11,15-17).
A clinical variable that was little addressed in the studies was the relationship between the COVID-19 vaccination programme and the development of Long COVID. 9 (69.24%) studies did not mention vaccination status(7-9,11,13-16,18), 2 (15.3%) stated that the study population had not been vaccinated(12,17) and 1 (7.6%) showed that around 12% of the population investigated had not been vaccinated during the study period(1). None of the studies analysed the association between vaccination and the development of Long COVID symptoms.
Other gaps identified in the selected studies refer to the lack of analysis of the association of Long COVID with demographic variables such as education and income(1,7-18) or clinical variables on the history of hospitalisation for COVID-19(1,7,12-14,18).
With regard to the risk factors associated with the development of Long COVID, only two studies have described a positive association related to the severity of the acute phase of COVID-19 disease, the presence of comorbidities, longer length of stay and hospitalisation in the Intensive Care Unit, older age and female gender with an increased risk of manifesting some symptoms of Long COVID(8,11,15). On the other hand, one study found that the presence of anosmia-dysgeusia was associated with younger age (under 65)(9).
Discussion
Analysing the studies selected in this review identified a wide range of symptoms reported in people who developed Long COVID, among the most frequent being fatigue, dyspnoea, changes in smell and taste and cognitive disorders related to memory. In addition, it was pointed out that diseases such as hypertension and diabetes were commonly found comorbidities in people. In this analysis, a higher prevalence of Long COVID-19 was observed in the samples of people corresponding to the adult age group and in both sexes. However, some studies have associated the female sex as a risk factor for developing the disease, other factors associated with an increased risk of developing Long COVID were related to the severity of the COVID-19 infection, longer hospitalisation and older age. Also, in relation to the vaccination scheme against COVID-19, it was observed that this topic was not addressed in most of the studies analysed on the manifestation of symptoms in Long COVID disease.
It should be noted that in the first year of the pandemic, in 2020, the term “Long COVID’ was used to describe patients who had recovered from the disease, but who still had lasting effects from the infection for longer than expected(19). In addition, the degree of COVID-19 infection may be related to different symptoms manifested in the development of Long COVID. Thus, Long COVID was observed more frequently in people who developed the severe form of COVID-19 compared to less severe cases(20). In addition, the risk of developing Long COVID increases with age, but it can affect the entire population, including children(21-22).
Although the pathophysiology of Long COVID is not fully understood, hypotheses explaining the disease may include the presence of persistent reservoirs of SARS-CoV-2 in tissues, immune dysregulation, the impact of the virus on the microbiota, autoimmunity, preparation of the immune system based on molecular mimicry, microvascular blood coagulation with endothelial dysfunction and dysfunctional signalling in the brainstem and/or vagus nerve(22-23).
Regarding the symptoms manifested in Long COVID, it has been described that these can be superimposed on various conditions that are not related to the COVID-19 infection itself, such as, for example, a post-intensive care syndrome in cases that required hospitalisation or even the exacerbation of pre-existing health conditions(24-25).
In this context, the symptoms manifested in Long COVID can have different aetiologies. Thus, in the approach to long-term respiratory symptoms, these may be caused by pulmonary vascular disorders resulting from pulmonary vascular damage in the microvessels suffered in the acute infection of the SARS-CoV-2 virus. One of the most commonly reported symptoms, dyspnoea, in the absence of lung damage, could be related to inadequate regulation of ventilation resulting from disorders of the autonomic nervous system, with potential damage to intrathoracic reflex receptors or the brainstem/cortical brain zones(23,26). As for the manifestation of pain, including joint and muscle pain, it could be attributed to thromboinflammatory mechanisms in relation to tissue damage and autoimmune processes(27-28).
As for the neurological symptoms presented in Long COVID, an analysis pointed out that persistent sequelae could be related to acute neurological complications in the SARS-CoV-2 virus infection, resulting from brain damage or other factors related to hospitalisation. In this way, the manifestation of cognitive disorders, headaches and changes in smell and/or taste could depend on a pathophysiology independent of the acute phase. One explanation could be that the spread of the SARS-CoV-2 virus in the brain, via the nasal cavity or the bloodstream, results in neuroinflammation, which, if persistent, could be responsible for neurocognitive impairment or mental health disorders(23).
Thus, clinical examinations of people with Long COVID show a decrease in serotonin caused by COVID-19 infection due to reduced tryptophan absorption, thrombocytopenia and increased expression of flavoenzyme monoamine oxidase, which results in decreased vagal and hippocampal activation and also considerable cognitive impairment. It has also been found that reduced serotonin and vagus nerve dysfunction can be associated with Long COVID, as they are suggestive of a pathway subsequent to viral infection(29).
However, based on the idea that the metabolomic, proteomic and immunological phenotyping of patients who contracted SARS-CoV-2 combined with a diversity of clinical symptoms with potential biomarkers for COVID-19, deregulated metabolism and inflammation may contribute to the symptoms of Long COVID. In this context, it is noteworthy that total blood triglycerides and the metabolites lactate and pyruvate were higher and lipoproteins lower in patients with Long COVID when compared to healthy controls(30).
Furthermore, it was possible to verify that cytokines or female and/or male gender were related to metabolites such as citrate, glutamate and histidine in patients who presented symptoms such as chronic fatigue, dyspnoea and mental confusion during the long course of the disease. Finally, various cytokines and chemokines have been correlated with metabolites and lipoproteins, with metabolic dysregulation and inflammation being considered potential factors in the development of Long COVID(30).
Among the risk factors for developing Long COVID-19, hospitalisation as a result of the infection, increasing age, being female and having comorbidities have been described(31). In this context, it is known that diseases commonly found in the population such as diabetes, when poorly controlled, cause organ damage, specifically causing microvascular lesions that can be exacerbated in the severe form of SARS-CoV-2 infection. In addition, the pre-existing inflammatory state can remain exacerbated and worsen after infection(32).
In addition, acute coronary syndromes, heart failure, arrhythmias, stroke and thromboembolism persist beyond the initial stage of SARS-CoV-2 infection, lasting for several months. Cardiopulmonary symptoms such as chest pain, shortness of breath, fatigue and postural orthostatic tachycardia can be common in Long COVID and associated with significant disability and increased anxiety. However, the pathophysiological mechanisms for late cardiovascular complications are not well understood(33).
The literature points to divergences in relation to the prevalence of Long COVID, a study that analysed the population of the northern Netherlands described that the disease can occur in around 1 in 8 people with the disease in the general population, while another study in Italy reported that 9 out of 10 patients after recovering from the disease still had at least one symptom 60 days after onset(19,34).
In addition, the prevalence of Long COVID differs between men and women, considering the physiological and hormonal differences that influence the immune system. Thus, women have higher immunoglobulin levels, causing them to develop stronger immune responses after immunisation or infection compared to men, while they are more susceptible to autoimmune diseases(35).
Thus, women can present different risk factors for Long COVID depending on their hormonal status. In this context, menopause is a phenomenon that is associated with an increased risk of the disease, with postmenopausal women having a higher incidence of COVID-19 when compared to premenopausal women. This suggests that oestrogen may be associated with the severity of the disease; it also highlights that ACE2 is found on the X chromosome, with oestrogen being a negative regulator of ACE2 expression. Furthermore, Toll-like receptor 7 (TLR7), a regulator of interferon (IFN) production, is considered to be an immune gene on the X chromosome that causes greater IFN signalling in COVID-19 and better viral clearance in women; however, continuous signalling predisposes them to a greater risk of developing Long COVID(36).
However, in both sexes, the clinical findings, alterations in T cells, the reduced number of cluster of differentiation 4+ (CD4+) and cluster of differentiation 8+ (CD8+) effector memory cells and the elevated expression of the PD1 protein in central memory cells were found to persist for at least 13 months in individuals with Long COVID who had mild COVID-19(22,37).
In individuals who developed Long COVID, a decrease in immunoglobulin M (IgM) was detected from primary infection to 6-month follow-up. Furthermore, while immunoglobulin G1 (IgG1) remained unchanged, immunoglobulin G3 (IgG3) was lower in patients with Long COVID, the opposite occurring in IgG3 concentrations in mild and severe cases of COVID-19. Thus, it was possible to observe an immunoglobulin signature that, combined with age, history of bronchial asthma and five symptoms during the primary infection, can predict the risk of Long COVID regardless of the period in which the blood was taken(38).
Using SARS-CoV-2 specific immunoglobulin G (IgG) titers distributed equally over a period according to age, gender and absence/presence of long-lasting symptoms, patients were vaccinated between the 10th and 15th month after infection, identifying that early vaccination is more effective than late vaccination. In addition, vaccination administered before SARS-CoV-2 infections is associated with a lower prevalence of persistent symptoms(39).
In this context, although vaccination against COVID-19 was a clinical variable not analyzed in the studies selected in this review, its relationship with Long COVID deserves to be highlighted. The literature indicates that the double vaccination culminated in a temporary beneficial effect on long-lasting symptoms lasting between 21 and 67 days(39). A systematic review that analyzed data on vaccination before and after infection with the SARS-CoV-2 virus, in relation to vaccination against COVID-19 before infection, showed that individuals had a significant reduction in the incidence of Long COVID. On the other hand, when analyzing remission and recovery from Long COVID, there are chances of non-recovery when patients were vaccinated after infection(40).
Thus, vaccination against COVID-19, in addition to reducing the severity of the disease and hospitalization rates, has been associated with a considerable reduction in the development of symptoms of Long COVID(40-41). From this perspective, the importance of adherence to vaccination against COVID-19 is noteworthy since, if it is recognized, it acts as an instrument of protection against the development of the long course of the disease, given that there are still no widely effective treatments for both the acute disease and Long COVID(22).
Finally, it is important to note that health care for people with Long COVID can be compromised, especially in low- and middle-income countries, due to limited health systems with few resources, which can be a great demand on health systems that are already overloaded and further exacerbate health inequalities(42).
This scoping review helps to identify the most frequent symptoms of Long COVID, including fatigue, dyspnea, changes in smell and taste and cognitive disorders related to memory. In addition, the selected studies showed a higher prevalence of Long COVID in people in the adult age group and in both sexes.
Limitations of the study include the inclusion of only studies in Portuguese, English and Spanish, articles that were available in full text and indexing databases not included in this research.
Conclusion
The mapping of the literature showed the diversity of symptoms in people who developed Long COVID, being more prevalent in adults, of both sexes and with the presence of comorbidities. Due to the high burden of persistent symptoms caused by SARS-CoV-2 infection, Long COVID is a challenge for health services, especially with regard to the diversity of symptomatic manifestations. This situation implies difficulties for the quality of life of people affected by Long COVID.
This review found important gaps that can influence the understanding of Long COVID, so future studies are recommended on the approach to the severity and persistence of symptoms presented in Long COVID and the relationship between adherence to the vaccination schedule against COVID-19, gender, race/ethnicity, degree of susceptibility in the different age groups, level of education and income, in addition to the most recurrent comorbidities in the population. Further studies using these variables could contribute to the effectiveness of public health strategies for diagnosing and assisting people affected by the disease.
References
-
Jamoulle M, Kazeneza-Mugisha G, Zayane A. Follow-Up of a Cohort of Patients with Post-Acute COVID-19 Syndrome in a Belgian Family Practice. Viruses. 2022;14(9):2000. https://doi.org/10.3390/v14092000
» https://doi.org/10.3390/v14092000 -
World Health Organization. A clinical case definition of post COVID-19 condition by a Delphi consensus, 6 October 2021 [Internet]. Geneva: WHO; 2021 [cited 2024 Feb 15]. Available from: https://www.who.int/publications/i/item/WHO-2019-nCoV-Post_COVID-19_condition-Clinical_case_definition-2021.1
» https://www.who.int/publications/i/item/WHO-2019-nCoV-Post_COVID-19_condition-Clinical_case_definition-2021.1 -
Sapna F, Deepa F, Sakshi F, Sonam F, Kiran F, Perkash RS, et al. Unveiling the Mysteries of Long COVID Syndrome: Exploring the Distinct Tissue and Organ Pathologies Linked to Prolonged COVID-19 Symptoms. Cureus. 2023;15(9):e44588. https://doi.org/10.7759/cureus.44588
» https://doi.org/10.7759/cureus.44588 -
Aromataris E, Munn Z. JBI Manual for Evidence Synthesis – 2024 Edition [Internet]. Adelaide: JBI; 2020 [cited 2023 Jun 12]. Available from: https://doi.org/10.46658/JBIMES-20-01
» https://doi.org/10.46658/JBIMES-20-01 -
Fabbri S, Octaviano F, Silva C, Di Thommazo A, Hernandes E, Belgamo A. Improvements in the StArt tool to better support the systematic review process [Internet]. In: Proceedings of the 20th International Conference on Evaluation and Assessment in Software Engineering (EASE’16); Limerick, Ireland; 2026 June 1-3. New York, NY: Association for Computing Machinery; 2016 [cited 2024 Feb 15]. Available from: https://doi.org/10.1145/2915970.2916013
» https://doi.org/10.1145/2915970.2916013 -
Tricco AC, Lillie E, Zarin W, O’Brien KK, Colquhoun H, Levac D, et al. PRISMA extension for scoping reviews (PRISMA-ScR): checklist and explanation. Ann Intern Med. 2018;169(7):467-73. https://doi.org/10.7326/m18-0850
» https://doi.org/10.7326/m18-0850 -
Eita AAB. Parosmia, Dysgeusia, and Tongue Features Changes in a Patient with Post-Acute COVID-19 Syndrome. Case Rep Dent. 2021;2021:3788727. https://doi.org/10.1155/2021/3788727
» https://doi.org/10.1155/2021/3788727 -
Jutant EM, Meyrignac O, Beurnier A, Jaïs X, Pham T, Morin L, et al. Respiratory symptoms and radiological findings in post-acute COVID-19 syndrome. ERJ Open Res. 2022;8(2):00479-2021. https://doi.org/10.1183/23120541.00479-2021
» https://doi.org/10.1183/23120541.00479-2021 -
Moreno-Pérez O, Merino E, Leon-Ramirez JM, Andres M, Ramos JM, Arenas-Jiménez J, et al. Post-acute COVID-19 syndrome. Incidence and risk factors: A Mediterranean cohort study. J Infect. 2021;82(3):378-83. https://doi.org/10.1016/j.jinf.2021.01.004
» https://doi.org/10.1016/j.jinf.2021.01.004 -
Penetra SLS, Silva MFB, Resende P, Pina-Costa A, Santos HFP, Guaraldo L, et al. Post-acute COVID-19 syndrome after reinfection and vaccine breakthrough by the SARS-CoV-2 Gamma variant in Brazil. Int J Infect Dis. 2022;114:58-61. https://doi.org/10.1016/j.ijid.2021.10.048
» https://doi.org/10.1016/j.ijid.2021.10.048 -
Tleyjeh IM, Saddik B, AlSwaidan N, AlAnazi A, Ramakrishnan RK, Alhazmi D, et al. Prevalence and predictors of Post-Acute COVID-19 Syndrome (PACS) after hospital discharge: A cohort study with 4 months median follow-up. PLoS One. 2021;16(12):e0260568. https://doi.org/10.1371/journal.pone.0260568
» https://doi.org/10.1371/journal.pone.0260568 -
Tohamy D, Sharaf M, Abdelazeem K, Saleh MGA, Rateb MF, Soliman W, et al. Ocular Manifestations of Post-Acute COVID-19 Syndrome, Upper Egypt Early Report. J Multidiscip Healthc. 2021;14:1935-44. https://doi.org/10.2147/JMDH.S323582
» https://doi.org/10.2147/JMDH.S323582 -
Carter SJ, Baranauskas MN, Raglin JS, Pescosolido BA, Perry BL. Functional status, mood state, and physical activity among women with post-acute COVID-19 syndrome [Preprint]. medRxiv. 2022 Jan 12:2022.01.11.22269088. https://doi.org/10.1101/2022.01.11.22269088
» https://doi.org/10.1101/2022.01.11.22269088 -
Fanous J, Zero AM, Rice CL. Muscle fatigability and post-acute COVID-19 syndrome: A case study. Physiol Rep. 2022;10(16):e15391. https://doi.org/10.14814/phy2.15391
» https://doi.org/10.14814/phy2.15391 -
Kim Y, Bitna-Ha, Kim SW, Chang HH, Kwon KT, Bae S, et al. Post-acute COVID-19 syndrome in patients after 12 months from COVID-19 infection in Korea. BMC Infect Dis. 2022;22(1):93. https://doi.org/10.1186/s12879-022-07062-6
» https://doi.org/10.1186/s12879-022-07062-6 -
Liu Q, Mak JWY, Su Q, Yeoh YK, Lui GC, Ng SSS, et al. Gut microbiota dynamics in a prospective cohort of patients with post-acute COVID-19 syndrome. Gut. 2022;71(3):544-52. https://doi.org/10.1136/gutjnl-2021-325989
» https://doi.org/10.1136/gutjnl-2021-325989 -
Mazzitelli M, Trunfio M, Sasset L, Leoni D, Castelli E, Lo Menzo S, et al. Factors Associated with Severe COVID-19 and Post-Acute COVID-19 Syndrome in a Cohort of People Living with HIV on Antiretroviral Treatment and with Undetectable HIV RNA. Viruses. 2022;14(3):493. https://doi.org/10.3390/v14030493
» https://doi.org/10.3390/v14030493 -
Zachariou A, Sapouna V, Kaltsas A, Dimitriadis F, Douvli E, Champilomatis I, et al. Evaluation of Overactive Bladder Symptoms in Patients Recovering from Post-Acute COVID-19 Syndrome. J Multidiscip Healthc. 2022;15:2447-52. https://doi.org/10.2147/JMDH.S384436
» https://doi.org/10.2147/JMDH.S384436 -
Mahase E. COVID-19: What do we know about “Long COVID”? BMJ. 2020;370:m2815. https://doi.org/10.1136/bmj.m2815
» https://doi.org/10.1136/bmj.m2815 -
Chudzik M, Lewek J, Kapusta J, Banach M, Jankowski P, Bielecka-Dabrowa A. Predictors of Long COVID in Patients without Comorbidities: Data from the Polish Long-COVID Cardiovascular (PoLoCOV-CVD) Study. J Clin Med. 2022;11(17):4980. https://doi.org/10.3390/jcm11174980
» https://doi.org/10.3390/jcm11174980 -
Mansell V, Dykgraaf SH, Kidd M, Goodyear-Smith F. Long COVID and older people. Lancet Healthy Longev. 2022;3(12):e849-e854. https://doi.org/10.1016/S2666-7568(22)00245-8
» https://doi.org/10.1016/S2666-7568(22)00245-8 -
Davis HE, McCorkell L, Vogel JM, Topol EJ. Author Correction: Long COVID: major findings, mechanisms and recommendations. Nat Rev Microbiol. 2023;21(6):408. https://doi.org/10.1038/s41579-023-00896-0
» https://doi.org/10.1038/s41579-023-00896-0 -
Castanares-Zapatero D, Chalon P, Kohn L, Dauvrin M, Detollenaere J, Maertens de Noordhout C, et al. Pathophysiology and mechanism of long COVID: a comprehensive review. Ann Med. 2022;54(1):1473-87. https://doi.org/10.1080%2F07853890.2022.2076901
» https://doi.org/10.1080%2F07853890.2022.2076901 -
Amenta EM, Spallone A, Rodriguez-Barradas MC, El Sahly HM, Atmar RL, Kulkarni PA. Postacute COVID-19: An Overview and Approach to Classification. Open Forum Infect Dis. 2020;7(12):ofaa509. https://doi.org/10.1093/ofid/ofaa509
» https://doi.org/10.1093/ofid/ofaa509 -
Nalbandian A, Sehgal K, Gupta A, Madhavan MV, McGroder C, Stevens JS, et al. Post-acute COVID-19 syndrome. Nat Med. 2021;27(4):601-15. https://doi.org/10.1038/s41591-021-01283-z
» https://doi.org/10.1038/s41591-021-01283-z -
Dhawan RT, Gopalan D, Howard L, Vicente A, Park M, Manalan K, et al. Beyond the clot: perfusion imaging of the pulmonary vasculature after COVID-19. Lancet Respir Med. 2021;9(1):107-16. https://doi.org/10.1016/s2213-2600(20)30407-0
» https://doi.org/10.1016/s2213-2600(20)30407-0 -
Korompoki E, Gavriatopoulou M, Hicklen RS, Ntanasis-Stathopoulos I, Kastritis E, Fotiou D, et al. Epidemiology and organ specific sequelae of post-acute COVID19: A narrative review. J Infect. 2021;83(1):1-16. https://doi.org/10.1016/j.jinf.2021.05.004
» https://doi.org/10.1016/j.jinf.2021.05.004 -
Disser NP, De Micheli AJ, Schonk MM, Konnaris MA, Piacentini AN, Edon DL, et al. Musculoskeletal Consequences of COVID-19. J Bone Joint Surg Am. 2020;102(14):1197-204. https://doi.org/10.2106/jbjs.20.00847
» https://doi.org/10.2106/jbjs.20.00847 -
Wong AC, Devason AS, Umana IC, Cox TO, Dohnalová L, Litichevskiy L, et al. Serotonin reduction in post-acute sequelae of viral infection. Cell. 2023;186(22):4851-67.e20. https://doi.org/10.1016/j.cell.2023.09.013
» https://doi.org/10.1016/j.cell.2023.09.013 -
Berezhnoy G, Bissinger R, Liu A, Cannet C, Schäfer H, Kienzle K, et al. Maintained imbalance of triglycerides, apolipoproteins, energy metabolites and cytokines in long-term COVID-19 syndrome patients. Front Immunol. 2023;14:1144224. https://doi.org/10.3389/fimmu.2023.1144224
» https://doi.org/10.3389/fimmu.2023.1144224 -
Tsampasian V, Elghazaly H, Chattopadhyay R, Debski M, Naing TKP, Pankaj G, et al. Risk Factors Associated With Post−COVID-19 Condition: A Systematic Review and Meta-analysis. JAMA Intern Med. 2023;183(6):566-80. https://doi.org/10.1001/jamainternmed.2023.0750
» https://doi.org/10.1001/jamainternmed.2023.0750 -
Raveendran AV, Misra A. Post COVID-19 Syndrome (“Long COVID”) and Diabetes: Challenges in Diagnosis and Management. Diabetes Metab Syndr. 2021;15(5):102235. https://doi.org/10.1016/j.dsx.2021.102235
» https://doi.org/10.1016/j.dsx.2021.102235 -
Matsumoto C, Shibata S, Kishi T, Morimoto S, Mogi M, Yamamoto K, et al. Long COVID and hypertension-related disorders: a report from the Japanese Society of Hypertension Project Team on COVID-19. Hypertens Res. 2023;46(3):601-19. https://doi.org/10.1038/s41440-022-01145-2
» https://doi.org/10.1038/s41440-022-01145-2 -
Ballering A, Zon S, Hartman T, Rosmalen J. Persistence of somatic symptoms after COVID-19 in the Netherlands: an observational cohort study. Lancet. 2022;400(10350):452-61. https://doi.org/10.1016/S0140-6736(22)01214-4
» https://doi.org/10.1016/S0140-6736(22)01214-4 -
Verthelyi D. Sex hormones as immunomodulators in health and disease. Int Immunopharmacol. 2001;1(6):983-93. https://doi.org/10.1016/s1567-5769(01)00044-3
» https://doi.org/10.1016/s1567-5769(01)00044-3 -
Wang C, Ramasamy A, Verduzco-Gutierrez M, Brode WM, Melamed E. Acute and post-acute sequelae of SARS-CoV-2 infection: a review of risk factors and social determinants. Virol J. 2023;20(1):124. https://doi.org/10.1186/s12985-023-02061-8
» https://doi.org/10.1186/s12985-023-02061-8 -
Glynne P, Tahmasebi N, Gant V, Gupta R. Long COVID following mild SARS-CoV-2 infection: characteristic T cell alterations and response to antihistamines. J Investig Med. 2022;70(1):61-7. https://doi.org/10.1136/jim-2021-002051
» https://doi.org/10.1136/jim-2021-002051 -
Cervia C, Zurbuchen Y, Taeschler P, Ballouz T, Menges D, Hasler S, et al. Immunoglobulin signature predicts risk of post-acute COVID-19 syndrome. Nat Commun. 2022;13(1):446. https://doi.org/10.1038/s41467-021-27797-1
» https://doi.org/10.1038/s41467-021-27797-1 -
Augustin M, Stecher M, Wüstenberg H, Cristanziano V, Silva S, Picard L, et al. 15-month post-COVID syndrome in outpatients: Attributes, risk factors, outcomes, and vaccination status - longitudinal, observational, case-control study. Front Immunol. 2023;14:1226622. https://doi.org/10.3389/fimmu.2023.1226622
» https://doi.org/10.3389/fimmu.2023.1226622 -
Byambasuren O, Stehlik P, Clark J, Alcorn K, Glasziou P. Effect of COVID-19 vaccination on long covid: systematic review. BMJ Med. 2023;2(1):e000385. https://doi.org/10.1136/bmjmed-2022-000385
» https://doi.org/10.1136/bmjmed-2022-000385 -
Mumtaz A, Sheikh A, Khan A, Khalid S, Khan J, Nasrullah A, et al. COVID-19 Vaccine and Long COVID: A Scoping Review. Life (Basel). 2022;12(7):1066. https://doi.org/10.3390/life12071066
» https://doi.org/10.3390/life12071066 -
Jassat W, Reyes LF, Munblit D, Caoili J, Bozza F, Hashmi M, et al. Long COVID in low-income and middle-income countries: the hidden public health crisis. Lancet. 2023;402(10408):1115-7. https://doi.org/10.1016/S0140-6736(23)01685-9
» https://doi.org/10.1016/S0140-6736(23)01685-9
-
How to cite this article
Prediger KM, Ribeiro AC, Uehara SCSA. Prevalent symptoms and characteristics of the Long COVID-19 population: a scoping review. Rev. Latino-Am. Enfermagem. 2025;33:e4479 [cited yearmonth day]. Available from: URL . https://doi.org/10.1590/1518-8345.7353.4479
-
*
Supported by Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP), Grant # 2022/10666-5, Brazil. This study was financed in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) - Finance Code 001, Brazil.
Edited by
-
Associate Editor:
Maria Lúcia Zanetti
Publication Dates
-
Publication in this collection
03 Feb 2025 -
Date of issue
2025
History
-
Received
15 Feb 2024 -
Accepted
10 Oct 2024


