Differences in mortality rate among patients hospitalized with severe COVID-19 according to their body mass index.

Background: Obesity has been described as a risk factor for COVID-19 severity and mortality. Previous studies report a linear association between BMI and adverse outcomes, meanwhile in other critical illness, excessive fat tissue is related to improved survival. Whether different BMI is related with the survival of patients with severe COVID-19 deserves further analysis. Objective: To determine the mortality rate among hospitalized patients with severe COVID-19 stratified according to BMI. Methods: The clinical files of all patients hospitalized from March to December 2020 with a positive PCR test for SARS-CoV-2 discharged due to improvement or death, were analyzed. A mixed effects logistic regression was carried out to determine which clinical and biochemical characteristics and comorbidities were associated with in-hospital mortality. Results: The cohort consisted of 608 patients with a median age of 59 years (interquartile ranges, IQR 46-69 years), median BMI of 28.7 kg/m2 (IQR 25.4-32.4 kg/m2), 65.5% were male. In-hospital mortality rate was 43.4%. Of the cohort 0.8% had low weight, 20.9% normal weight, 36.0% overweight, 26.5% obesity grade I, 10.2% obesity grade II and 5.6% obesity grade III. Mortality rate was highest in patients with low weight (80%), followed by patients with obesity grade III (58.8%) and grade II (50.0%). Overweight and underweight/obesity grade III were associated with higher mortality (OR of 9.75 [1.01-1.10] and OR 4.08 [1.64-10.14]), after adjusting by sex and age. Conclusions: The patients in the underweight/overweight and grade 3 obesity categories are at higher risk of COVID-19 related mortality, compared to those with grade I or II obesity.

Asociación de los índices neutrófilo/linfocito y linfocito/proteína C reactiva con mortalidad por COVID-19 / Association of neutrophil-to-lymphocyte and lymphocyte-to-C-reactive protein ratios with COVID-19-related mortality

Resumen Introducción: Los índices neutrófilo/linfocito (INL) y linfocito/proteína 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 analítico de pacientes hospitalizados por COVID-19 grave en un hospital de especialidades. Resultados: Falleció 34 % de 242 pacientes analizados. Los sujetos fallecidos tenían 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), así 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.

Abstract 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.

Association of neutrophil-to-lymphocyte and lymphocyte-to-C-reactive protein ratios with COVID-19-related mortality.

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 índices neutrófilo/linfocito (INL) y linfocito/proteína 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 analítico de pacientes hospitalizados por COVID-19 grave en un hospital de especialidades. RESULTADOS: Falleció 34 % de 242 pacientes analizados. Los sujetos fallecidos tenían 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), así 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.