RESUMO
Background: Insulin resistance is often implicated as a risk factor of cell-mediated immune dysfunction in sepsis patients and results in poor clinical outcome. However, it is unclear whether early insulin resistance is contributory to T-cell dysfunction and poor clinical outcome in coronavirus disease 2019 (COVID-19) patients. Methods: Adult patients with moderate-to-severe or critically ill COVID-19 infection were included in this study. Serum samples were collected at the time of diagnosis for fasting plasma glucose, serum insulin, serum cortisol, and serum glucagon measurements, and the Homeostatic Model Assessment of Insulin Resistance (HOMA-IR) score was calculated. Results: One hundred and twenty-six subjects with a mean (standard deviation) age of 49.6 (16.3) years were recruited in this study, and 62.4% (78 of 125 patients) were male. HOMA-IR was a predictor of inhospital mortality with the area under the receiver operating characteristics curve (AUROC) (95% confidence interval [CI] of 0.61 [0.49-0.73]). With a cutoff value of 1.91, sensitivity was 75.5% and specificity was 45.2%. Higher serum insulin was associated with higher survival with AUROC (95% CI) of 0.65 (0.53-0.76), and the best cutoff was 7.15, with a sensitivity and specificity of 62.1% and 64.5%. Serum cortisol was also a predictor of inhospital mortality with an AUROC (95% CI) of 0.67 (0.56-0.77). Conclusion: An independent association between baseline serum cortisol and poor outcome in moderate-to-severe COVID-19 patients was observed. Hyperglycemia and HOMA-IR can also predict poor outcome in these patients with some accuracy.
RESUMO
Background Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus-associated pneumonia and acute respiratory distress syndrome (ARDS) were often associated with hyperinflammation and elevation of several serum inflammatory markers but usually less than what is observed in non-coronavirus disease (COVID) ARDS. Elevated inflammatory markers such as C-reactive protein, interleukin (IL)-6, etc., are associated with severe infection. This study identified subphenotypes of COVID-19 ARDS patients by latent profile analysis in a cohort of Indian patients. Methods Data of n = 233 adult Indian patients with laboratory-confirmed SARS-CoV-2 infection admitted to a tertiary care teaching hospital were analyzed in this retrospective study. Only patients with acute respiratory failure (defined by partial pressure of oxygen/fraction of inspired oxygen ratio < 200 mm Hg) and chest X-ray showing bilateral infiltrates were included. Results The patients' mean (standard deviation) age was 53.3 (14.9) years, and 62% were male. A two subphenotypic model was formulated based on the lowest Bayesian information criterion. Neutrophil-to-lymphocyte ratio and serum IL-6 were latent variables in that model (entropy 0.91). The second phenotype (hyperinflammatory) had lower platelet count ( p = 0.02), higher serum creatinine ( p = 0.004), higher C-reactive protein ( p = 0.001), higher ferritin ( p < 0.001), and serum lactate dehydrogenase ( p = 0.009). Age-adjusted hospital mortality ( p = 0.007), duration of hospital stay ( p < 0.001), and duration of intensive care unit stay ( p < 0.001) were significantly higher in the second subphenotype. Conclusion Two distinct but overlapping subphenotypes were identified in SARS-CoV-2-associated respiratory failure. Hyperinflammatory subphenotype was associated with significantly poor short-term outcomes.
RESUMO
How to cite this article: Nair PR, Maitra S, Ray BR, Anand RK, Baidya DK, Subramaniam R. Neutrophil-to-lymphocyte Ratio and Platelet-to-lymphocyte Ratio as Predictors of the Early Requirement of Mechanical Ventilation in COVID-19 Patients. Indian J Crit Care Med 2020;24(11):1143-1144.
