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Association of biomarkers with successful ventilatory weaning in COVID-19 patients: an observational study

ABSTRACT

Objective:

To evaluate the association of biomarkers with successful ventilatory weaning in COVID-19 patients.

Methods:

An observational, retrospective, and single-center study was conducted between March 2020 and April 2021. C-reactive protein, total lymphocytes, and the neutrophil/lymphocyte ratio were evaluated during attrition and extubation, and the variation in these biomarker values was measured. The primary outcome was successful extubation. ROC curves were drawn to find the best cutoff points for the biomarkers based on sensitivity and specificity. Statistical analysis was performed using logistic regression.

Results:

Of the 2,377 patients admitted to the intensive care unit, 458 were included in the analysis, 356 in the Successful Weaning Group and 102 in the Failure Group. The cutoff points found from the ROC curves were −62.4% for C-reactive protein, +45.7% for total lymphocytes, and −32.9% for neutrophil/lymphocyte ratio. These points were significantly associated with greater extubation success. In the multivariate analysis, only C-reactive protein variation remained statistically significant (OR 2.6; 95%CI 1.51 – 4.5; p < 0.001).

Conclusion:

In this study, a decrease in C-reactive protein levels was associated with successful extubation in COVID-19 patients. Total lymphocytes and the neutrophil/lymphocyte ratio did not maintain the association after multivariate analysis. However, a decrease in C-reactive protein levels should not be used as a sole variable to identify COVID-19 patients suitable for weaning; as in our study, the area under the ROC curve demonstrated poor accuracy in discriminating extubation outcomes, with low sensitivity and specificity.

Keywords:
Biomarkers; COVID-19; Coronavirus infections; Airway extubation; Intubation, intratracheal; Respiration, artificial; Ventilator weaning; Intensive care units

RESUMO

Objetivo:

Avaliar a associação de biomarcadores com o sucesso do desmame ventilatório em pacientes com COVID-19.

Métodos:

Trata-se de estudo observacional, retrospectivo e de centro único realizado entre março de 2020 e abril de 2021. Foram avaliados a proteína C-reativa, os linfócitos totais e a relação neutrófilos/linfócitos durante o atrito e a extubação; mediu-se a variação desses valores de biomarcadores. O desfecho primário foi o sucesso da extubação. As curvas ROC foram desenhadas para encontrar os melhores pontos de corte dos biomarcadores segundo a sensibilidade e a especificidade. A análise estatística foi realizada por meio de regressão logística.

Resultados:

Dos 2.377 pacientes admitidos na unidade de terapia intensiva, 458 foram incluídos na análise, 356 no Grupo Sucesso do desmame e 102 no Grupo Fracasso do desmame. Os pontos de corte encontrados nas curvas ROC foram −62,4% para proteína C-reativa, +45,7% para linfócitos totais e −32,9% para relação neutrófilo/linfócito. Esses pontos foram significativamente associados ao maior sucesso da extubação. Na análise multivariada, apenas a variação da proteína C-reativa permaneceu estatisticamente significativa (RC 2,6; IC95% 1,51 – 4,5; p < 0,001).

Conclusão:

Neste estudo, uma diminuição nos níveis de proteína C-reativa foi associada ao sucesso da extubação em pacientes com COVID-19. Os linfócitos totais e a relação neutrófilos/linfócitos não mantiveram a associação após a análise multivariada. No entanto, uma diminuição nos níveis de proteína C-reativa não deve ser usada como única variável para identificar pacientes com COVID-19 adequados para o desmame; como em nosso estudo, a área sob a curva ROC demonstrou baixa precisão na discriminação dos resultados de extubação, com baixas sensibilidade e especificidade.

Descritores:
Biomarcadores; COVID-19; Infecções por coronavírus; Extubação; Intubação intratraqueal; Respiração artificial; Desmame do respirador; Unidades de terapia intensiva

INTRODUCTION

Ventilatory weaning is a constant challenge for intensivists and has become even more complex during the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic. Severe hypoxemia, use of corticosteroids, prolonged mechanical ventilation (MV), sedation and immobilization for long periods, increased ventilatory demand, variable disease course, work overload, and lack of resources are factors that are faced.(11 Kondili E, Makris D, Georgopoulos D, Rovina N, Kotanidou A, Koutsoukou A. COVID-19 ARDS: points to be considered in mechanical ventilation and weaning. J Pers Med. 2021;11(11):1109.

2 Huang C, Wang Y, Li X, Ren L, Zhao J, Hu Y, et al. Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China. Lancet 2020;395(10223):497-506.

3 Yang X, Yu Y, Xu J, Shu H, Xia J, Liu H, et al. Clinical course and outcomes of critically ill patients with SARS-CoV-2 pneumonia in Wuhan, China: a single-centered, retrospective, observational study. Lancet Respir Med. 2020;8(5):475-81.
-44 Wang D, Hu B, Hu C, Zhu F, Liu X, Zhang J, et al. Clinical characteristics of 138 hospitalized patients with 2019 novel coronavirus-infected pneumonia in Wuhan, China. JAMA. 2020;323(11):1061-9.)

Despite the adoption of protocols and adherence to guideline recommendations, the extubation failure rates remain at approximately 15 – 30%.(55 Boles JM, Bion J, Connors A, Herridge M, Marsh B, Melot C, et al. Weaning from mechanical ventilation. Eur Respir J. 2007;29(5):1033-56.,66 Forgiarini SG, Rosa DP, Forgiarini LF, Teixeira C, Andrade CF, Forgiarini Junior LA, et al. Evaluation of systemic inflammation in patients being weaned from mechanical ventilation. Clinics (São Paulo). 2018;73:e256.) In coronavirus disease 2019 (COVID-19) patients, this rate is approximately three times higher than that in non-COVID-19 patients.(77 Guzatti NG, Klein F, Oliveira JA, Rático GB, Cordeiro MF, Marmitt LP, et al. Predictive factors of extubation failure in COVID-19 mechanically ventilated patients. J Intensive Care Med. 2022;37(9):1250-5.) Extubation failure is associated with increased hospital mortality, prolonged intensive care unit (ICU) stay, and increased need for tracheostomy.(88 Epstein SK, Ciubotaru RL, Wong JB. Effect of failed extubation on the outcome of mechanical ventilation. Chest. 1997;112(1):186-92.,99 Seymour CW, Martinez A, Christie JD, Fuchs BD. The outcome of extubation failure in a community hospital intensive care unit: a cohort study. Crit Care. 2004;8(5):R322-7.) However, unnecessary prolongation of MV is also associated with an increased risk of infection and mortality in the ICU.(55 Boles JM, Bion J, Connors A, Herridge M, Marsh B, Melot C, et al. Weaning from mechanical ventilation. Eur Respir J. 2007;29(5):1033-56.,1010 Ranjan N, Chaudhary U, Chaudhry D, Ranjan KP. Ventilator-associated pneumonia in a tertiary care intensive care unit: analysis of incidence, risk factors and mortality. Indian J Crit Care Med. 2014;18(4):200-4.,1111 Wałaszek M, Kosiarska A, Gniadek A, Kołpa M, Wolak Z, Dobroś W, et al. The risk factors for hospital-acquired pneumonia in the intensive care unit. Przegl Epidemiol. 2016;70(1):15-20, 107-10.) In this context, attempting to identify factors that assist in decision-making about the ideal time for discontinuation of mechanical ventilation becomes necessary.

Biomarkers, such as C-reactive protein (CRP), procalcitonin (PCT), and the neutrophil-to-lymphocyte ratio (NLR), have been widely used in bacterial infections, playing a diagnostic, prognostic, risk stratification, and antibiotic duration-defining role, despite their limited sensitivity and specificity.(1212 Póvoa P, Teixeira-Pinto AM, Carneiro AH; Portuguese Community-Acquired Sepsis Study Group SACiUCI. C-reactive protein, an early marker of community-acquired sepsis resolution: a multi-center prospective observational study. Crit Care. 2011;15(4):R169.

13 Schuetz P, Beishuizen A, Broyles M, Ferrer R, Gavazzi G, Gluck EH, et al. Procalcitonin (PCT)-guided antibiotic stewardship: an international experts consensus on optimized clinical use. Clin Chem Lab Med. 2019;57(9):1308-18.

14 Martins EC, Silveira LF, Viegas K, Beck AD, Fioravantti Júnior G, Cremonese RV, et al. Neutrophil-lymphocyte ratio in the early diagnosis of sepsis in an intensive care unit: a case-control study. Rev Bras Ter Intensiva. 2019;31(1):64-70.

15 Marik PE, Stephenson E. The ability of procalcitonin, lactate, white blood cell count and neutrophil-lymphocyte count ratio to predict blood stream infection. Analysis of a large database. J Crit Care. 2020;60:135-9.
-1616 Kyriazopoulou E, Liaskou-Antoniou L, Adamis G, Panagaki A, Melachroinopoulos N, Drakou E, et al. Procalcitonin to reduce long-term infection-associated adverse events in sepsis. a randomized trial. Am J Respir Crit Care Med. 2021;203(2):202-10.) Lymphocytes also play a crucial role in the inflammatory response and balance of the immune system, and lymphopenia, a common finding in SARS-CoV-2 infection, is significantly associated with worse outcomes.(1717 Huang I, Pranata R. Lymphopenia in severe coronavirus disease-2019 (COVID-19): systematic review and meta-analysis. J Intensive Care. 2020;8:36.

18 Malik P, Patel U, Mehta D, Patel N, Kelkar R, Akrmah M, et al. Biomarkers and outcomes of COVID-19 hospitalisations: systematic review and meta-analysis. BMJ Evid Based Med. 2021;26(3):107-8.
-1919 Cilloniz C, Peroni HJ, Gabarrús A, García-Vidal C, Pericàs JM, Bermejo-Martin J, et al. Lymphopenia is associated with poor outcomes of patients with community-acquired pneumonia and sepsis. Open Forum Infect Dis. 2021;8(6):ofab169.) In general, as inflammatory disease progresses, the lymphocyte counts decrease, and neutrophil counts increase. The NLR, a tool easily calculated from the complete blood count, is an indicator of systemic inflammation and an independent risk factor for poor prognosis.(2020 Wang Y, Ju M, Chen C, Yang D, Hou D, Tang X, et al. Neutrophil-to-lymphocyte ratio as a prognostic marker in acute respiratory distress syndrome patients: a retrospective study. J Thorac Dis. 2018;10(1):273-82.,2121 Hwang SY, Shin TG, Jo IJ, Jeon K, Suh GY, Lee TR, et al. Neutrophil-to-lymphocyte ratio as a prognostic marker in critically-ill septic patients. Am J Emerg Med. 2017;35(2):234-9.) To date, few studies have evaluated the association between these biomarkers in COVID-19 patients and worse clinical outcomes, but none have evaluated their relationship with weaning.(1818 Malik P, Patel U, Mehta D, Patel N, Kelkar R, Akrmah M, et al. Biomarkers and outcomes of COVID-19 hospitalisations: systematic review and meta-analysis. BMJ Evid Based Med. 2021;26(3):107-8.,2222 King AH, Mehkri O, Rajendram P, Wang X, Vachharajani V, Duggal A. A high neutrophil-lymphocyte ratio is associated with increased morbidity and mortality in patients with coronavirus disease 2019. Crit Care Explor. 2021;3(5):e0444.

23 Sayed AA, Allam AA, Sayed AI, Alraey MA, Joseph MV. The use of neutrophil-to-lymphocyte ratio (NLR) as a marker for COVID-19 infection in Saudi Arabia: a case-control retrospective multicenter study. Saudi Med J. 2021;42(4):370-6.
-2424 Tatum D, Taghavi S, Houghton A, Stover J, Toraih E, Duchesne J. Neutrophil-to-lymphocyte ratio and outcomes in Louisiana COVID-19 patients. Shock. 2020;54(5):652-8.)

The objective of this study was to evaluate the association of biomarkers CRP, total lymphocytes, and the NLR with successful extubation of patients with ventilatory failure secondary to SARS-CoV-2.

METHODS

Study design and population

This was a retrospective, observational, and single-center study conducted on patients admitted to the ICU of the Hospital de Clínicas de Porto Alegre between March 2020 and April 2021. Patients included in the study met the following criteria: confirmed diagnosis of SARS-CoV-2 infection through molecular biology or rapid antigen test, aged 18 years or older, and undergoing mechanical ventilation for severe acute respiratory syndrome. The exclusion criteria included SARS-CoV-2 infection occurring after the need for mechanical ventilation, use of extracorporeal membrane oxygenation (ECMO), death or transfer to another hospital without extubation being performed, use of interleukin-6 inhibitors, absence of collection of analyzed biomarkers, and refusal to share data through the General Data Protection Law (LGPD - Lei Geral de Proteção de Dados), which is in force in Brazil.

The study was approved by the Ethics and Research Committee (CEP) of the institution (CAAE 40843120.4.0000.5327). The authors signed a Data Use Commitment Agreement, confirming their commitment to the anonymous use of the data. Due to the anonymization of patients and the absence of diagnostic or therapeutic interventions, the Free and Informed Consent Form was waived. The results were reported according to the STROBE guidelines (Strengthening the Reporting of Observational Studies in Epidemiology).

Data collection

The following data were collected through chart review: general patient characteristics, such as sex, age, comorbidities, body mass index (BMI), and Simplified Acute Physiology Score 3 (SAPS 3) score; date of admission, hospital discharge, or death; date of intubation and extubation; use of corticosteroids; performance of tracheostomy; and biomarkers (C-reactive protein, total lymphocytes, and neutrophil-lymphocyte ratio) collected up to 24 hours before or after the time of intubation and extubation. From these laboratory data, variations in the levels of these biomarkers between the date of intubation and the date of first extubation were calculated. Potential confounding factors were selected a priori based on clinical knowledge and previous literature.

Outcomes and definitions

In this study, we compared biomarker kinetics between the Extubation Failure and Success Groups. The primary outcome was extubation success, defined as the absence of reintubation or return to mechanical ventilation after 48 hours. Failure was considered the need to return to mechanical ventilation in less than 48 hours.

As secondary outcomes, we evaluated the time on mechanical ventilation until extubation, length of hospital stay, ICU mortality, hospital mortality, and tracheostomy use. The criteria for extubation were evaluated and decided by the bedside team, following institutional protocols, without the researchers’ influence. Hospital transfer outcomes were included due to the pandemic, with patients being transferred to lower complexity hospitals due to high resource demand. The parameter ‘tracheostomy preextubation’ refers to the performance of a tracheostomy during the same hospitalization without prior extubation. This practice is uncommon outside the context of a pandemic; however, during the pandemic, it was employed for some patients experiencing difficult and prolonged weaning, at least in our center. In these tracheostomized patients, extubation success was considered the maintenance of mechanical ventilation independence for at least 48 hours.

Statistical analysis

The sample was considered from the total list of hospitalizations in the period. Categorical variables were reported as a percentage, and continuous variables were reported as the mean ± standard deviation (SD) or median (interquartile range [IQR]). Receiver operating characteristic (ROC) curves were drawn to find the best cutoff point for the biomarkers based on the best sensitivity and specificity. Associations were made with the logistic regression model, except for the variable "use of corticosteroids," in which Fisher's exact test was used since, in one of the groups, no patient used corticosteroids. A nonlinear association was detected involving age, time on mechanical ventilation until extubation, ICU time, and hospital time with extubation success, and a spline transformation was applied.

For multivariable analysis, the following adjustment variables were used: previous heart disease, preextubation tracheostomy, and time on mechanical ventilation until extubation, defined based on statistical significance, as described in table 1 (p < 0.05). The other variables with significance in table 1 were not used due to collinearity with those already mentioned. The results of the uni- and multivariable analyses were expressed in odds ratios (ORs) and respective 95% confidence intervals (95%CIs). In all analyses, a p value of < 0.05 was adopted as the level for statistical significance. The software used was PASW Statistics for Windows version 18.0 and R version 4.2.0.(2525 SPSS Inc. Released 2009. PASW Statistics for Windows, Version 18.0. Chicago: SPSS Inc.,2626 R Core Team. R: A language and environment for statistical computing. R Foundation for Statistical Computing. Vienna, Austria: R Core Team. Available from: https://www.R-project.org/
https://www.R-project.org...
)

Table 1
Characteristics of the population

RESULTS

Between March 2020 and April 2021, 2,377 patients were admitted to the ICU of Hospital de Clínicas de Porto Alegre, of which 1,196 were eligible for the study. The 1,181 noneligible patients were non-COVID-19 patients or COVID-19 patients without the need for MV. Of the total eligible patients, 458 were included in the analysis, with 356 in the Successful Weaning Group and 102 in the Failure Weaning Group. The others were excluded as described in figure 1.

Figure 1
Patient flowchart. ICU - intensive care unit; ECMO - extracorporeal membrane oxygenation; LGPD - General Data Protection Law (Lei Geral de Proteção de Dados).

Sample characteristics

Table 1 shows the cohort's profile. The Extubation Failure Group had more patients with heart disease (67.5% versus 52.2%; p = 0.006) and a greater need for tracheostomy during hospitalization (41.2% versus 20.2%; p < 0.001). Among patients who were successfully weaned, there were more tracheostomies performed before weaning (3.9% versus 17.4%; p = 0.002), as well as a significant reduction in the serum levels of CRP and NLR and an increase in total lymphocytes (-70.35% versus -48.28%; p < 0.001; -40.04% versus −20.8%; p < 0.001; +68.55% versus +33.69%; p < 0.001). Other characteristics were similar across the groups.

Primary outcomes

The cutoff points found from the ROC curves with the best sensitivity and specificity for successful extubation were −62.4% for CRP, +45.7% for total lymphocytes, and −32.9% for the NLR (Table 2 and Figure 2). These points were significantly associated with greater success in extubation. In the multivariable analysis and after adjusting for heart disease, preextubation ventilation time, and preextubation tracheostomy, only the variation in CRP remained statistically significant (OR 2.6; 95%CI 1.51 – 4.5; p < 0.001), as described in table 3. The analysis of combined biomarkers (CRP and lymphocytes, CRP and NLR, lymphocytes and NLR, CRP and lymphocytes and NLR) did not add sensitivity or specificity to the analysis of CRP kinetics alone (Supplementary Material).

Table 2
ROC curves: biomarkers and successful extubation
Figure 2
ROC curves: biomarkers and extubation success. CRP - C-reactive protein; NLR - neutrophil-lymphocyte ratio.
Table 3
Logistic regression: biomarker analysis and extubation success

The sensitivity and specificity values found for a −62.4% reduction in CRP were 62.8% and 63.3%, respectively. When CRP maintains its values without alteration, the found sensitivity is 89%. However, a reduction of -83.1% yields a specificity of 90%. For a 45.7% increase in lymphocytes, the sensitivity and specificity were 57.9% and 57.8%, respectively. For a −32.9% reduction in NLR, they were 58.3% and 57.8%, respectively. The positive likelihood ratio for CRP was 1.71, and the negative likelihood ratio was 0.58, based on the outcome of successful extubation.

Secondary outcomes

The length of stay in the ICU and hospital was significantly longer in the Extubation Failure Group (25 [18 – 36) versus 16 [10 – 26]; p < 0.001 and 38 [25 - 50] versus 28 (18 – 43); p = 0.0004). The ICU and hospital discharge rates were significantly higher in successful patients (67.5% versus 96.3%; p < 0.001; 61.8% versus 84.8%; p < 0.001). The hospital mortality rate in patients with failure was 15.7% compared to 4.2% in the successful group.

DISCUSSION

In this retrospective cohort of COVID-19 patients on mechanical ventilation, an association was demonstrated between a decrease in serum levels of CRP and successful weaning from ventilation. Our study suggests that the decrease in CRP levels in SARS-CoV-2 patients on MV is an indicator of resolution of COVID infection, aiding in identifying the point at which a patient is more likely to succeed once they meet the already validated readiness criteria.

As in our study, data in the literature support the use of CRP as a relevant biomarker in COVID-19 patients, CRP is strongly correlated with disease progression and is an independent predictor of severity, as well as the need for mechanical ventilation.(2727 Luan YY, Yin CH, Yao YM. Update advances on C-reactive protein in COVID-19 and other viral infections. Front Immunol. 2021;12:720363.

28 Ponti G, Maccaferri M, Ruini C, Tomasi A, Ozben T. Biomarkers associated with COVID-19 disease progression. Crit Rev Clin Lab Sci. 2020;57(6):389-99.

29 Luo X, Zhou W, Yan X, et al. Prognostic value of C-reactive protein in patients with coronavirus 2019. Clin Infect Dis. 2020;

30 Herold T, Jurinovic V, Arnreich C, Lipworth BJ, Hellmuth JC, von Bergwelt-Baildon M, et al. Elevated levels of IL-6 and CRP predict the need for mechanical ventilation in COVID-19. J Allergy Clin Immunol. 2020;146(1):128-136.e4.
-3131 Topp G, Bouyea M, Cochran-Caggiano N, Ata A, Torres P, Jacob J, et al. Biomarkers predictive of extubation and survival of COVID-19 patients. Cureus. 2021;13(6):e15462.) More relevant than isolated measurements, the kinetics of CRP seem to be the main point for clinical practice, as demonstrated in our study. Prepandemic studies in patients with bacterial infections have already analyzed the kinetics of CRP in survivors and nonsurvivors.(3232 Póvoa P, Coelho L, Almeida E, Fernandes A, Mealha R, Moreira P, et al. C-reactive protein as a marker of ventilator-associated pneumonia resolution: a pilot study. Eur Respir J. 2005;25(5):804-12.

33 Póvoa P, Coelho L, Almeida E, et al. Pilot study evaluating C-reactive protein levels in the assessment of response to treatment of severe bloodstream infection. Clin Infect Dis. 2005;40(12):1855-7.
-3434 Coelho L, Póvoa P, Almeida E, Fernandes A, Mealha R, Moreira P, et al. Usefulness of C-reactive protein in monitoring the severe community-acquired pneumonia clinical course. Crit Care. 2007;11(4):R92.) Apparently, persistently high or increasing levels of CRP suggest the maintenance of inflammatory activity or are associated with worse prognosis, while their reduction indicates resolution of the inflammatory process and better outcome.(1212 Póvoa P, Teixeira-Pinto AM, Carneiro AH; Portuguese Community-Acquired Sepsis Study Group SACiUCI. C-reactive protein, an early marker of community-acquired sepsis resolution: a multi-center prospective observational study. Crit Care. 2011;15(4):R169.)

Such studies assess the kinetics of CRP with prognostic outcomes but without an analysis of ventilatory weaning. Other studies, such as Forgiarini et al., have examined inflammatory factors in the ventilatory weaning of non-COVID-19 patients. However, the kinetics of CRP were not evaluated, and only absolute values were evaluated.(66 Forgiarini SG, Rosa DP, Forgiarini LF, Teixeira C, Andrade CF, Forgiarini Junior LA, et al. Evaluation of systemic inflammation in patients being weaned from mechanical ventilation. Clinics (São Paulo). 2018;73:e256.) Although widely studied in bacterial infections, the literature on viral infections such as SARS-CoV-2 is scarce. Thus, this is the first study to relate the kinetics of inflammatory markers to successful extubation.

However, the decrease in CRP levels should not be a variable that, alone, identifies COVID-19 patients suitable for weaning. In our study, although there was an association between CRP variation and extubation success, the area under the ROC curve demonstrated poor accuracy in discriminating the extubation outcome, with low sensitivity and specificity. Our study indicates that this biomarker can, together with other variables associated with success and readiness for extubation, help identify patients in their best condition for weaning from ventilation. This hypothesis needs to be tested in clinical trials.

Among our findings, the association between lymphocyte count or NLR and weaning was not confirmed after multivariate analysis. In the literature, articles suggest a lower prognostic accuracy of lymphopenia and an increased NLR in relation to CRP in distinguishing disease severity.(3535 Ahnach M, Zbiri S, Nejjari S, Ousti F, Elkettani C. C-reactive protein as an early predictor of COVID-19 severity. J Med Biochem. 2020;39(4):500-7.) The accuracy of both hematological parameters seems to be impaired once their counts are influenced by factors such as infections by other pathogens or medications, such as glucocorticoids, which are the standard treatment for SARS-CoV-2 and were used in 98% of our population.(3636 Yang M, Chen X, Xu Y. A retrospective study of the C-reactive protein to lymphocyte ratio and disease severity in 108 patients with early COVID-19 pneumonia from January to March 2020 in Wuhan, China. Med Sci Monit. 2020;26:e926393.)

Another finding of our study, as a secondary outcome, is the shorter ICU and hospital stays in patients with successful extubation. In addition, ICU and hospital mortality were higher in patients with extubation failure. There is evidence in the literature that failure is associated with an increased mortality rate, either due to the selection of higher risk patients or associated deleterious effects such as bronchoaspiration, pneumonia, and atelectasis.(55 Boles JM, Bion J, Connors A, Herridge M, Marsh B, Melot C, et al. Weaning from mechanical ventilation. Eur Respir J. 2007;29(5):1033-56.) Such a causal relationship cannot be affirmed from this observational study design.

Limitations

Our study has some limitations. It is a single-center study, so these findings should be replicated in other centers to confirm the hypotheses generated. Due to its observational nature, confounding factors may influence its outcome. Appropriate statistical analyses were employed to correct these factors. One unmeasured factor in this study and a possible confounder is the presence of associated bacterial infection, which can impact the duration of ventilation, mortality, and weaning success. However, a systematic review showed a low prevalence of bacterial infections associated with COVID-19 patients, regardless of whether the bacterial infections were secondary infections (13.5%) or coinfections (7.0%). This review points to a large dissociation between evidence of bacterial infection and the use of antimicrobials, as only 16% of studies reported indications of bacterial infection, while 54% of patients received empirical antibiotic therapy.(3737 Cong W, Stuart B, Alhusein N, Liu B, Tang Y, Wang H, et al. Antibiotic use and bacterial infection in COVID-19 patients in the second phase of the SARS-CoV-2 pandemic: a scoping review. Antibiotics (Basel). 2022;11(8):991.) Furthermore, it should be mentioned that critically ill COVID-19 patients admitted to the ICU may have higher rates of secondary bacterial infection, reaching more than 50% of cases.(3838 Beliavsky A, Johnston B, Li Q, Tomlinson G, Kaul R, Granton J. Secondary infections in critically ill patients with viral pneumonia due to COVID-19 and influenza: a historical cohort study. Can J Anaesth. 2023;70(3):374-83.)

Another limitation is the nonmeasurement of other variables related to weaning success, such as the weaning readiness criteria and the type of spontaneous ventilation test used. In addition, survival bias may be present, as the number of exclusions due to death was high due to the global severity of the disease.

CONCLUSION

In this study, the decrease in C-reactive protein levels was significantly associated with successful extubation in mechanically ventilated COVID-19 patients, suggesting that this biomarker may contribute to decision-making in this context. Total lymphocytes and the neutrophil-to-lymphocyte ratio did not maintain their association after multivariate analysis.

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Edited by

Responsible editor: Pedro Póvoa

Publication Dates

  • Publication in this collection
    08 Apr 2024
  • Date of issue
    2024

History

  • Received
    25 June 2023
  • Accepted
    23 Nov 2023
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E-mail: ccs@amib.org.br