RESUMEN
Background: Timely identification of patients at risk of worse clinical outcomes is vital in managing coronavirus disease 2019 (COVID-19). The neutrophil-to-lymphocyte ratio (NLR) calculated from complete blood count can predict the degree of systemic inflammation and guide therapy accordingly. Hence, we did a study to investigate the role of NLR value on intensive care unit (ICU) admission in predicting clinical outcomes of critically ill COVID-19 patients. Methods: We conducted a retrospective analysis of electronic health records of COVID-19 patients admitted to ICUs at Hazm Mebaireek General Hospital, Qatar, from March 7, 2020 to July 18, 2020. Patients with an NLR equal to or higher than the cut-off value derived from the receiver operating characteristic curve were compared to those with an NLR value below the cut-off. The primary outcome studied was all-cause ICU mortality. The secondary outcomes evaluated were the requirement of mechanical ventilation and ICU length of stay (LOS). Results: Five hundred and nineteen patients were admitted to ICUs with severe COVID-19 infection during the study period. Overall, ICU mortality in the study population was 14.6% (76/519). NLR on ICU admission of ≥6.55 was obtained using Youden's index to predict ICU mortality, with a sensitivity of 81% and specificity of 41%. Mortality was significantly higher in patients with age ≥60 years (p < 0.001), chronic kidney disease (p = 0.03), malignancy (p < 0.002), and NLR ≥ 6.55 (p < 0.003). There was also a significant association between the requirement of mechanical ventilation (34.7% vs. 51.8%, p < 0.001) and increased ICU LOS (8 vs. 10 days, p < 0.01) in patients with ICU admission NLR ≥ 6.55. Conclusion: Higher NLR values on ICU admission are associated with worse clinical outcomes in critically ill COVID-19 patients.
RESUMEN
Background and Aims: Clinical characteristics and factors associated with mortality in patients admitted to the intensive care unit (ICU) in countries with low case fatality rates (CFR) are unknown. We sought to determine these in a large cohort of critically ill COVID-19 patients in Qatar and explore the early mortality predictors. Methods: We retrospectively studied the clinical characteristics and outcomes in patients admitted to the ICU at the national referral hospital for COVID-19 patients in Qatar. Logistic regression analysis was used to determine factors associated with mortality. Results: Between March 7 and July 16, 2020, a total of 1079 patients with COVID-19 were admitted to the ICU. The median (IQR) age of patients was 50 (41-59) years. Diabetes (47.3%) and hypertension (42.6%) were the most common comorbidities. In-hospital mortality was 12.6% overall and 25.9% among those requiring mechanical ventilation. Factors independently associated with mortality included older age ([OR]; 2.3 [95% CI; 1.92-2.75] for each 10-year increase in age, p < 0.001), chronic kidney disease (OR; 1.9 [95% CI; 1.02-3.54], p = 0.04), active malignancy (OR; 6.15 [95% CI; 1.79-21.12], p = 0.004), lower platelet count at ICU admission (OR; 1.41 [95% CI; 1.13-1.75] for each 100 × 103/µl decrease, p = 0.002), higher neutrophil-to-lymphocyte ratio at admission (OR; 1.01 [95% CI; 1-1.02] for each 1- point increase, p = 0.016), higher serum ferritin level at admission (OR; 1.05 [(95% CI; 1.02-1.08] for each 500 µg/L increase, p = 0.002), and higher serum bilirubin level at admission (OR; 1.19 [95% CI; 1.04-1.36] for each 10 µmol/L increase, p = 0.01). Conclusions: The mortality rate among critically ill COVID-19 patients is low in Qatar compared to other countries. Older age, chronic kidney disease, active malignancy, higher neutrophil-to-lymphocyte ratios, lower platelet counts, higher serum ferritin levels, and higher serum bilirubin levels are independent predictors of in-hospital mortality.