Identifying multimorbidity profiles associated with COVID-19 severity in chronic patients using network analysis in the PRECOVID Study

A major risk factor of COVID-19 severity is the patient's health status at the time of the infection. Numerous studies focused on specific chronic diseases and identified conditions, mainly cardiovascular ones, associated with poor prognosis. However, chronic diseases tend to cluster into patte...

Full description

Saved in:
Bibliographic Details
Published in:Scientific reports 2022-02, Vol.12 (1), p.2831-2831, Article 2831
Main Authors: Carmona-Pírez, Jonás, Gimeno-Miguel, Antonio, Bliek-Bueno, Kevin, Poblador-Plou, Beatriz, Díez-Manglano, Jesús, Ioakeim-Skoufa, Ignatios, González-Rubio, Francisca, Poncel-Falcó, Antonio, Prados-Torres, Alexandra, Gimeno-Feliu, Luis A.
Format: Article
Language:English
Subjects:
639/705/531
692/499
692/700
692/700/478
692/700/478/174
Adolescent
Adult
Aged
Aged, 80 and over
Atopic dermatitis
Chronic illnesses
Chronic infection
Coronaviruses
COVID-19
COVID-19 - epidemiology
Dermatitis
Diabetes mellitus
Female
Humanities and Social Sciences
Humans
Male
Menstruation
Middle Aged
multidisciplinary
Multimorbidity
Patients
Retrospective Studies
Risk factors
Science
Science (multidisciplinary)
Spain - epidemiology
Young Adult
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:A major risk factor of COVID-19 severity is the patient's health status at the time of the infection. Numerous studies focused on specific chronic diseases and identified conditions, mainly cardiovascular ones, associated with poor prognosis. However, chronic diseases tend to cluster into patterns, each with its particular repercussions on the clinical outcome of infected patients. Network analysis in our population revealed that not all cardiovascular patterns have the same risk of COVID-19 hospitalization or mortality and that this risk depends on the pattern of multimorbidity, besides age and sex. We evidenced that negative outcomes were strongly related to patterns in which diabetes and obesity stood out in older women and men, respectively. In younger adults, anxiety was another disease that increased the risk of severity, most notably when combined with menstrual disorders in women or atopic dermatitis in men. These results have relevant implications for organizational, preventive, and clinical actions to help meet the needs of COVID-19 patients.
ISSN:2045-2322
2045-2322
DOI:10.1038/s41598-022-06838-9