Enfermedad cardiovascular previa y posterior a la infección por COVID-19. Supervivencia a un año

Resumen

Objetivos

Analizar el riesgo de COVID-19 con relación a la morbilidad previa, así como el riesgo de nuevos eventos cardiovasculares (ECV) en pacientes COVID-19 y la supervivencia a un año.

Metodología

Estudio casos-control y estudio de cohortes prospectivo. Se incluyeron 275 pacientes aleatorizados >18 años diagnosticados de COVID-19 y se aparearon con 825 COVID-19 negativos por edad y sexo (proporción 1:3). Las variables principales fueron diagnóstico de COVID-19 y eventos post-COVID-19. Se estudiaron variables sociodemográficas, comorbilidad y ECV previo. Se realizaron sendos modelos predictivos de factores asociados al desarrollo de COVID-19 y de ECV post-COVID-19, así como un análisis de supervivencia a un año.

Resultados

Los varones con ECV previo duplican el riesgo de padecer COVID-19 (odds ratio [OR] 2,11; intervalo de confianza [IC] 95% 1,32–3,36). En las mujeres el riesgo aumenta con la edad (OR 1,01; IC 95% 1,00–1,02), la diabetes mellitus (DM) (OR 1,90; IC 95% 1,14–3,17) y el deterioro cognitivo (OR 4,88; IC 95% 2,50–9,53). La inmunosupresión actúa como factor protector en ambos sexos. La edad (OR 1,02; IC 95% 1,00–1,04), hipertensión arterial (HTA) (OR 2,21; IC 95% 1,17–4,17), la infección COVID-19 (OR 4,81; IC 95% 2,89–7,98) y el ECV previo (OR 4,46; IC 95% 2,56–7,75) predicen el desarrollo de un nuevo ECV post-COVID-19. Los pacientes COVID-19 positivos tienen menor supervivencia (mediana de siete vs. 184 días).

Conclusiones

El ECV previo en varones y la DM junto al deterioro cognitivo en mujeres aumentan el riesgo de presentar COVID-19. La edad, HTA, ECV previo y la infección COVID-19 predicen la aparición de un ECV.

Abstract

Aim

To analyze the risk of COVID-19 in relation to previous morbidity; to analyze the risk of new cardiovascular events (CVE) in COVID-19 patients and one-year survival.

Methodology

Case–control study and prospective cohort study. Two hundred and seventy-five randomized patients >18 years old with COVID-19 were included and matched with 825 without COVID-19 by age and sex (ratio 1:3). The main variables were diagnosis of COVID-19 and post-COVID-19 events. Sociodemographic variables, comorbidity, and previous CVD were studied. Two predictive models of factors associated with the development of COVID-19 and post-COVID-19 CVE were performed, as well as a one-year survival analysis.

Results

Men with a previous CVE double the risk of suffering from COVID-19 (OR 2.11; 95% CI: 1.32–3.36). In women, the risk increases with age (OR 1.01; 95% CI: 1.00–1.02), diabetes (DM) (OR 1.90; 95% CI: 1.14–3.17) and cognitive impairment (OR 4.88; 95% CI: 2.50–9.53). Immunosuppression acts as a protective factor in both sexes. Age (OR 1.02; 95% CI: 1.00–1.04), arterial hypertension (OR 2.21; 95% CI: 1.17–4.17), COVID-19 infection (OR 4.81; 95% CI: 2.89–7.98) and previous CVE (OR 4.46; 95% CI: 2.56–7.75) predict the development of a new post-COVID-19 CVE. Positive COVID-19 has lower survival (median 7 days vs. 184 days).

Conclusions

Previous CVE in men and DM along with cognitive impairment in women increase the risk of presenting COVID-19. Age, arterial hypertension, previous CVE, and COVID-19 infection predict the appearance of new CVE.