Observational studyPloS one2023
Multimorbidity patterns in COVID-19 patients and their relationship with infection severity: MRisk-COVID study.
Observational study in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04981249 (Risk of Severe COVID-19, Taking Into Account Multimorbidity Patterns, as Well as Other Clinical and Sociodemographic Variables. Big Data Mrisk-COVID Project), which is not on this map. Cited by 7 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Risk of Severe COVID-19, Taking Into Account Multimorbidity Patterns, as Well as Other Clinical and Sociodemographic Variables. Big Data Mrisk-COVID Project
Who cites it
7 citing papers in PubMed, 16 citations in OpenAlex.
- Changing Prevalence of Immunocompromising Conditions in Patients Hospitalized with Severe Acute Respiratory Infection in Europe: Insights from the COVIDRIVE Study.Journal of epidemiology and global health · 2026Article
- Exploring patterns of multimorbidity in South Korea using exploratory factor analysis and non negative matrix factorization.Scientific reports · 2025Article
- COVID-19 outcomes among patients with dementia and age-matched controls who were hospitalized in 21 US health-care systems.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024Article
- Observational
- Trajectories of chronic multimorbidity patterns in older patients: MTOP study.BMC geriatrics · 2024Observational
- Association of cancer and outcomes of patients hospitalized for COVID-19 between 2020 and 2023.F1000Research · 2024Article
- Comprehensive Multimorbidity Patterns in Older Patients Are Associated with Quality Indicators of Medication-MoPIM Cohort Study.International journal of environmental research and public health · 2022Observational
Corrections and comments
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Authors and funding
12 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundSeveral 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.
methodsThe 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.
resultsSevere 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).
conclusionThis 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 registrationNCT04981249. Registered 4 August 2021 (retrospectively registered).
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