Trends in COVID-19-related in-hospital mortality in women and men.

INTRODUCTION: Whether political, scientific and medical development in a country is associated with better clinical results according to gender in patients with COVID-19 has not yet been clearly elucidated. OBJECTIVE: To determine the trends of COVID-19-related in-hospital mortality in women and men from March 2020 to February 2022. METHODS: Clinical data of all patients with COVID-19 cared for at 21 Spanish hospitals were used, both of those who were discharged and of those who died during hospitalization. The association between hospital length of stay and mortality was analyzed with logistic regression models. RESULTS: Out of 7,974 patients that were included, 3,234 were women; 928 patients died. A significant decreasing trend in mortality was identified. When the analysis was carried out by gender, no significant mortality trend was found in women (OR = 0.96 [0.90-1.03], p = 0.239), while in men there was a significant decreasing trend identified (OR = 0.87 [0.82-0.92], p < 0.001). CONCLUSION: Health policies, together with clinical and preventive interventions, may explain these results. Response to treatment and behavioral differences may explain why mortality does not decrease for women.

INTRODUCCIÓN: Todavía no se comprende si el desarrollo político, científico y médico en un país se asocia a mejores resultados clínicos de los pacientes con COVID-19 según el sexo. OBJETIVO: Determinar las tendencias de mortalidad hospitalaria asociada a COVID-19 en mujeres y hombres entre marzo de 2020 y febrero de 2022. MÉTODOS: Se utilizaron los datos clínicos de todos los pacientes con COVID-19 atendidos en 21 hospitales españoles, tanto de quienes fueron dados de alta como de quienes fallecieron durante el ingreso. La asociación entre la fecha del ingreso y la mortalidad se analizó con modelos de regresión logística. RESULTADOS: Fueron incluidos 7974 pacientes, de los cuales 3234 fueron mujeres y 928 fallecieron. Se encontró una tendencia significativa y decreciente en la mortalidad según avanzaba la fecha del ingreso. Cuando el análisis se realizó por sexos, no se halló una tendencia significativa en las mujeres (RM = 0.96 [0.90-1.03], p = 0.239), pero sí en los hombres (RM = 0.87 [0.82-0.92], p < 0.001). CONCLUSIÓN: Las políticas de salud, junto con las intervenciones clínicas y preventivas, pueden dar cuenta de los resultados. Diferencias en la respuesta al tratamiento o en los comportamientos pueden explicar por qué la mortalidad no disminuye en las mujeres.

Tendencia de mortalidad hospitalaria por COVID-19 en mujeres y hombres / Trends in COVID-19-related in-hospital mortality in women and men

Resumen Introducción: Todavía no se comprende si el desarrollo político, científico y médico en un país se asocia a mejores resultados clínicos de los pacientes con COVID-19 según el sexo. Objetivo: Determinar las tendencias de mortalidad hospitalaria asociada a COVID-19 en mujeres y hombres entre marzo de 2020 y febrero de 2022. Métodos: Se utilizaron los datos clínicos de todos los pacientes con COVID-19 atendidos en 21 hospitales españoles, tanto de quienes fueron dados de alta como de quienes fallecieron durante el ingreso. La asociación entre la fecha del ingreso y la mortalidad se analizó con modelos de regresión logística. Resultados: Fueron incluidos 7974 pacientes, de los cuales 3234 fueron mujeres y 928 fallecieron. Se encontró una tendencia significativa y decreciente en la mortalidad según avanzaba la fecha del ingreso. Cuando el análisis se realizó por sexos, no se halló una tendencia significativa en las mujeres (RM = 0.96 [0.90-1.03], p = 0.239), pero sí en los hombres (RM = 0.87 [0.82-0.92], p < 0.001). Conclusión: Las políticas de salud, junto con las intervenciones clínicas y preventivas, pueden dar cuenta de los resultados. Diferencias en la respuesta al tratamiento o en los comportamientos pueden explicar por qué la mortalidad no disminuye en las mujeres.

Abstract Introduction: Whether political, scientific and medical development in a country is associated with better clinical results according to gender in patients with COVID-19 has not yet been clearly elucidated. Objective: To determine the trends of COVID-19-related in-hospital mortality in women and men from March 2020 to February 2022. Methods: Clinical data of all patients with COVID-19 cared for at 21 Spanish hospitals were used, both of those who were discharged and of those who died during hospitalization. The association between hospital length of stay and mortality was analyzed with logistic regression models. Results: Out of 7,974 patients that were included, 3,234 were women; 928 patients died. A significant decreasing trend in mortality was identified. When the analysis was carried out by gender, no significant mortality trend was found in women (OR = 0.96 [0.90-1.03], p = 0.239), while in men there was a significant decreasing trend identified (OR = 0.87 [0.82-0.92], p < 0.001). Conclusion: Health policies, together with clinical and preventive interventions, may explain these results. Response to treatment and behavioral differences may explain why mortality does not decrease for women.

Proinflammatory and Hepatic Features Related to Morbidity and Fatal Outcomes in COVID-19 Patients.

OBJECTIVE: to screen putative associations between liver markers and proinflammatory-related features concerning infectious morbidity and fatal outcomes in COVID-19 patients. METHODS: a total of 2094 COVID-19 positive patients from the COVID-DATA-SAFE-LIFES cohort (HM hospitals consortium) were classified according to median values of hepatic, inflammatory, and clinical indicators. Logistic regression models were fitted and ROC cures were generated to explain disease severity and mortality. RESULTS: intensive care unit (ICU) assistance plus death outcomes were associated with liver dysfunction, hyperinflammation, respiratory insufficiency, and higher associated comorbidities. Four models including age, sex, neutrophils, D-dimer, oxygen saturation lower than 92%, C-reactive protein (CRP), Charlson Comorbidity Index (CCI), FIB-4 and interactions with CRP, neutrophils, and CCI explained ICU plus death variance in more than 28%. The predictive values of ROC curves were: FIB-4 (0.7339), AST/ALT ratio (0.7107), CRP (0.7003), CCI index (0.6778), neutrophils (0.6772), and platelets (0.5618) concerning ICU plus death outcomes. CONCLUSIONS: the results of this research revealed that liver and proinflammatory features are important determinants of COVID-19 morbidity and fatal outcomes, which could improve the current understanding of the COVID-19 physiopathology as well as to facilitate the clinical management and therapy decision-making of this disease under a personalized medicine scope.