Social determinants of health associated with severity and mortality in patients with COVID-19.

INTRODUCTION: Historically, pandemics have resulted in higher mortality rates in the most vulnerable populations. Social determinants of health (SDH) have been associated with people morbidity and mortality at different levels. OBJECTIVE: To determine the relationship between SDH and COVID-19 severity and mortality. METHODS: Retrospective study, where data from patients with COVID-19 were collected at a public hospital in Chile. Sociodemographic variables related to structural SDH were classified according to the following categories: gender, age (< 65 years, ≥ 65 years), secondary education (completed or not), work status (active, inactive) and income (< USD 320, ≥ USD 320). RESULTS: A total of 1,012 laboratory-confirmed COVID-19 cases were included. Average age was 64.2 ± 17.5 years. Mortality of the entire sample was 14.5 %. Age, level of education, unemployment and income had a strong association with mortality (p < 0.001). CONCLUSIONS: The findings reinforce the idea that SDH should be considered a public health priority, which is why political efforts should focus on reducing health inequalities for future generations.

INTRODUCCIÓN: Históricamente, las pandemias han tenido como resultado tasas de mortalidad más altas en las poblaciones más vulnerables. Los determinantes sociales de la salud (DSS) se han asociado a la morbimortalidad de las personas en diferentes niveles. OBJETIVO: Determinar la relación entre los DSS, la severidad de COVID-19 y la mortalidad por esta enfermedad. MÉTODOS: Estudio retrospectivo en el que se recolectaron datos de pacientes con COVID-19 en un hospital público de Chile. Las variables sociodemográficas relacionadas con los DSS estructurales se clasificaron según las siguientes categorías: sexo, edad (< 65 años, ≥ 65 años), educación secundaria (completada o no), condición de trabajo (activo, inactivo) e ingreso económico (< USD 320, ≥ USD 320). RESULTADOS: Fueron incluidos 1012 casos con COVID-19 confirmados por laboratorio. La edad promedio fue de 64.2 ± 17.5 años. La mortalidad de la muestra total fue de 14.5 %. La edad, nivel educativo, desempleo e ingresos tuvieron fuerte asociación con la mortalidad (p < 0.001). CONCLUSIONES: Los hallazgos refuerzan la idea de que los DSS deben considerarse una prioridad de salud pública, por lo que los esfuerzos políticos deben centrarse en reducir las desigualdades en salud para las generaciones futuras.

Risk Factors for One-Year Mortality in Hospitalized Adults with Severe COVID-19.

As the body's immunity declines with age, elderly-hospitalized patients due to COVID-19 might be at higher mortality risk. Therefore, the aim of this prospective study was to examine the possible risk factors (demographic, social or comorbidities) most associated with mortality one-year after diagnosis of COVID-19. Routine data were collected from a cohort of hospitalized adults with severe COVID-19. The primary endpoint was mortality at one-year after diagnosis of COVID-19. We used a Cox proportional hazard model to estimate the hazard ratios (HRs) for both all-cause and specific cardiorespiratory mortality. A fully adjusted model included sex, socioeconomic status, institutionalization status, disability, smoking habit, and comorbidities as confounders. A total of 368 severe cases hospitalized on average 67.3 ± 15.9 years old were included. Participants aged ≥ 71 years had significantly higher HRs for all-cause mortality (adjusted HRs = 2.86, 95%CI: 2.01-4.07) and cardiorespiratory mortality (adjusted HRs = 2.86, 95%CI: 1.99-4.12). The association between age and mortality after diagnosis of COVID-19 due to both all-causes and cardiorespiratory mortality showed a consistent dose-response fashion. Institutionalization, disability, and socioeconomic status also showed a significant association with mortality. In conclusion, aging itself was the most important risk factor associated with mortality one year after diagnosis of COVID-19. People with disabilities, institutionalized or low socioeconomic status are significantly more likely to die after COVID-19.

Determinantes sociales de la salud asociados a la severidad y mortalidad en pacientes con COVID-19 / Social determinants of health associated with severity and mortality in patients with COVID-19

Resumen Introducción: Históricamente, las pandemias han tenido como resultado tasas de mortalidad más altas en las poblaciones más vulnerables. Los determinantes sociales de la salud (DSS) se han asociado a la morbimortalidad de las personas en diferentes niveles. Objetivo: Determinar la relación entre los DSS, la severidad de COVID-19 y la mortalidad por esta enfermedad. Métodos: Estudio retrospectivo en el que se recolectaron datos de pacientes con COVID-19 en un hospital público de Chile. Las variables sociodemográficas relacionadas con los DSS estructurales se clasificaron según las siguientes categorías: sexo, edad (< 65 años, ≥ 65 años), educación secundaria (completada o no), condición de trabajo (activo, inactivo) e ingreso económico (< USD 320, ≥ USD 320). Resultados: Fueron incluidos 1012 casos con COVID-19 confirmados por laboratorio. La edad promedio fue de 64.2 ± 17.5 años. La mortalidad de la muestra total fue de 14.5 %. La edad, nivel educativo, desempleo e ingresos tuvieron fuerte asociación con la mortalidad (p < 0.001). Conclusiones: Los hallazgos refuerzan la idea de que los DSS deben considerarse una prioridad de salud pública, por lo que los esfuerzos políticos deben centrarse en reducir las desigualdades en salud para las generaciones futuras.

Abstract Introduction: Historically, pandemics have resulted in higher mortality rates in the most vulnerable populations. Social determinants of health (SDH) have been associated with people morbidity and mortality at different levels. Objective: To determine the relationship between SDH and COVID-19 severity and mortality. Methods: Retrospective study, where data from patients with COVID-19 were collected at a public hospital in Chile. Sociodemographic variables related to structural SDH were classified according to the following categories: gender, age (< 65 years, ≥ 65 years), secondary education (completed or not), work status (active, inactive) and income (< USD 320, ≥ USD 320). Results: A total of 1,012 laboratory-confirmed COVID-19 cases were included. Average age was 64.2 ± 17.5 years. Mortality of the entire sample was 14.5 %. Age, level of education, unemployment and income had a strong association with mortality (p < 0.001). Conclusions: The findings reinforce the idea that SDH should be considered a public health priority, which is why political efforts should focus on reducing health inequalities for future generations.