Author: Albarrán-Sánchez, Alejandra; González-RÃos, Ricardo D; Alberti-Minutti, Paolo; Noyola-GarcÃa, Maura E; Contreras-GarcÃa, Carlos E; Anda-Garay, Juan C; MartÃnez-Ascencio, Luis E; Castillo-López, David J; Reyes-Naranjo, Luis A; GuÃzar-GarcÃa, Luis A; Flores-Padilla, Guillermo; RamÃrez-RenterÃa, Claudia
Title: Association of neutrophil-to-lymphocyte and lymphocyte-to-C-reactive protein ratios with COVID-19-related mortality. Cord-id: f677xpww Document date: 2020_1_1
ID: f677xpww
Snippet: INTRODUCTION Neutrophil-to-lymphocyte (NLR) and lymphocyte-to-C-reactive protein (LCR) ratios are used to predict severity and mortality in various infections. OBJECTIVE To establish the best NLR and LCR cutoff point to predict mortality in patients hospitalized for COVID-19 in Mexico. METHOD Analytical cross-sectional study of patients hospitalized for severe COVID-19 in a specialty hospital. RESULTS Out of 242 analyzed patients, 34 % died. The deceased subjects were older (62 vs. 51 years; p <
Document: INTRODUCTION Neutrophil-to-lymphocyte (NLR) and lymphocyte-to-C-reactive protein (LCR) ratios are used to predict severity and mortality in various infections. OBJECTIVE To establish the best NLR and LCR cutoff point to predict mortality in patients hospitalized for COVID-19 in Mexico. METHOD Analytical cross-sectional study of patients hospitalized for severe COVID-19 in a specialty hospital. RESULTS Out of 242 analyzed patients, 34 % died. The deceased subjects were older (62 vs. 51 years; p < 0.001), had a higher prevalence of > 10 years with systemic arterial hypertension (59.4 vs. 45.1 %, p = 0.022), as well as a higher NLR (17.66 vs. 8.31, p < 0.001) and lower LCR (0.03 vs. 0.06, p < 0.002) with regard to those who survived. The cutoff points to predict mortality were NLR > 12 and LCR < 0.03. The combination of NLR/LCR had a sensitivity of 80 %, specificity of 74 %, positive predictive value of 46.15 %, negative predictive value of 93.02 % and an odds ratio of 11.429 to predict mortality. CONCLUSION NLR > 12 and LCR < 0.03 are useful biomarkers to evaluate the risk of mortality in Mexican patients with severe COVID- 19. INTRODUCCIÓN Los Ãndices neutrófilo/linfocito (INL) y linfocito/proteÃna C reactiva (ILR) se usan para predecir severidad y mortalidad en diversas infecciones. OBJETIVO Establecer en México el mejor punto de corte de INL e ILR para predecir la mortalidad en pacientes hospitalizados por COVID-19. MÉTODO Estudio transversal analÃtico de pacientes hospitalizados por COVID-19 grave en un hospital de especialidades. RESULTADOS Falleció 34 % de 242 pacientes analizados. Los sujetos fallecidos tenÃan mayor edad (62 versus 51 años, p < 0.001), mayor prevalencia de hipertensión arterial sistémica > 10 años (59.4 versus 45.1 %, p = 0.022), asà como INL más alto (17.66 versus 8.31, p < 0.001) e ILR más bajo (0.03 versus 0.06, p < 0.002) respecto a quienes sobrevivieron. Los puntos de corte para predecir mortalidad fueron INL > 12 e ILR < 0.03. La combinación de INL e ILR tuvo sensibilidad de 80 %, especificidad de 74 %, valor predictivo positivo de 46.15 %, valor predictivo negativo de 93.02 % y razón de momios de 11.429 para predecir la mortalidad. CONCLUSIÓN INL > 12 e ILR < 0.03 son biomarcadores útiles para evaluar el riesgo de mortalidad en pacientes mexicanos con COVID-19 grave.
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