Multimorbidity Patterns in COVID-19 Patients and Their Relationship with Infection Severity: MRisk-COVID Study

Overview

Journal PLoS One

Specialties General Medicine
Science

Date 2023 Aug 31

PMID 37651465

Authors

Marina Lleal

Celia Corral-Vazquez

Montserrat Bare

Ricard Comet

Susana Herranz

Francisco Baigorri

Antonio Gimeno-Miguel

Maria Raurich

Cristina Fortia

Marta Navarro

Beatriz Poblador-Plou

Marisa Bare

Affiliations

Soon will be listed here.

Abstract

Background: Several chronic conditions have been identified as risk factors for severe COVID-19 infection, yet the implications of multimorbidity need to be explored. The objective of this study was to establish multimorbidity clusters from a cohort of COVID-19 patients and assess their relationship with infection severity/mortality.

Methods: The MRisk-COVID Big Data study included 14 286 COVID-19 patients of the first wave in a Spanish region. The cohort was stratified by age and sex. Multimorbid individuals were subjected to a fuzzy c-means cluster analysis in order to identify multimorbidity clusters within each stratum. Bivariate analyses were performed to assess the relationship between severity/mortality and age, sex, and multimorbidity clusters.

Results: Severe infection was reported in 9.5% (95% CI: 9.0-9.9) of the patients, and death occurred in 3.9% (95% CI: 3.6-4.2). We identified multimorbidity clusters related to severity/mortality in most age groups from 21 to 65 years. In males, the cluster with highest percentage of severity/mortality was Heart-liver-gastrointestinal (81-90 years, 34.1% severity, 29.5% mortality). In females, the clusters with the highest percentage of severity/mortality were Diabetes-cardiovascular (81-95 years, 22.5% severity) and Psychogeriatric (81-95 years, 16.0% mortality).

Conclusion: This study characterized several multimorbidity clusters in COVID-19 patients based on sex and age, some of which were found to be associated with higher rates of infection severity/mortality, particularly in younger individuals. Further research is encouraged to ascertain the role of specific multimorbidity patterns on infection prognosis and identify the most vulnerable morbidity profiles in the community.

Trial Registration: NCT04981249. Registered 4 August 2021 (retrospectively registered).

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