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Published on: November 10, 2023
Baseline Chronic Comorbidity and Mortality in Laboratory-Confirmed COVID-19 Cases: Results from the PRECOVID Study in
Beatriz Poblador-Plou1,2, Jonás Carmona-Pírez1,2,3, Ignatios Ioakeim-Skoufa1
1EpiChron Research Group, Aragon Health Sciences Institute (IACS), IIS Aragón, Miguel Servet University Hospital, 50009 Zaragoza, Spain.
Insights
Older age, cardiovascular diseases, and certain medications increase COVID-19 mortality risk. While some factors are shared, men and women may have differing risk profiles, with other factors contributing significantly to overall mortality.
Area of Science:
- Epidemiology
- Clinical Medicine
- Public Health
Background:
- Coronavirus disease (COVID-19) has caused significant global mortality.
- Understanding risk factors for COVID-19 mortality is crucial for patient management and public health strategies.
Purpose of the Study:
- To identify baseline socio-demographic and clinical factors associated with increased mortality in COVID-19 patients.
- To stratify risk factors by sex in the COVID-19 population.
Main Methods:
- Retrospective cohort study (PRECOVID Study) of 4412 laboratory-confirmed COVID-19 cases in Aragon, Spain.
- Follow-up of at least 30 days from cohort entry.
- Age-adjusted logistic regression models stratified by sex to analyze mortality predictors.
Main Results:
- Old age, diabetes, acute myocardial infarction, and congestive heart failure were associated with higher mortality.
- Use of vasodilators, antipsychotics, and potassium-sparing agents correlated with increased mortality risk.
- Comorbidities and medications explained approximately 25% of COVID-19 mortality; risk factors showed similarities and differences between sexes.
Conclusions:
- Cardiovascular comorbidities and specific medications are significant predictors of COVID-19 mortality.
- While some risk factors are shared, sex-specific differences in mortality predictors may exist.
- A substantial portion of COVID-19 mortality remains unexplained, necessitating further research into patient- and health-system-related factors for early risk identification strategies.
Abstract:
We aimed to analyze baseline socio-demographic and clinical factors associated with an increased likelihood of mortality in men and women with coronavirus disease (COVID-19). We conducted a retrospective cohort study (PRECOVID Study) on all 4412 individuals with laboratory-confirmed COVID-19 in Aragon, Spain, and followed them for at least 30 days from cohort entry. We described the socio-demographic and clinical characteristics of all patients of the cohort. Age-adjusted logistic regressions models were performed to analyze the likelihood of mortality based on demographic and clinical variables. All analyses were stratified by sex. Old age, specific diseases such as diabetes, acute myocardial infarction, or congestive heart failure, and dispensation of drugs like vasodilators, antipsychotics, and potassium-sparing agents were associated with an increased likelihood of mortality. Our findings suggest that specific comorbidities, mainly of cardiovascular nature, and medications at the time of infection could explain around one quarter of the mortality in COVID-19 disease, and that women and men probably share similar but not identical risk factors. Nonetheless, the great part of mortality seems to be explained by other patient- and/or health-system-related factors. More research is needed in this field to provide the necessary evidence for the development of early identification strategies for patients at higher risk of adverse outcomes.
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