Identifying multimorbidity profiles associated with COVID-19 severity in chronic patients using network analysis in the PRECOVID Study; 35181720

Carmona-Pírez, J. ; Gimeno-Miguel, A. ; Bliek-Bueno, K. ; Poblador-Plou, B. ; Díez-Manglano, J. (Universidad de Zaragoza) ; Ioakeim-Skoufa, I. ; González-Rubio, F. ; Poncel-Falcó, A. ; Prados-Torres, A. ; Gimeno-Feliu, L. (Universidad de Zaragoza) ; Moreno-Juste, A. ; Cano-del-Pozo, M. ; Bandrés-Liso, A. C. ; Pico-Soler, V. ; Aza-Pascual-Salcedo, M. ; Ara-Bardají, P. ; on behalf of the, PRECOVID Group

Resumen: 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. © 2022, The Author(s).

Idioma: Inglés

DOI: 10.1038/s41598-022-06838-9

Año: 2022

Publicado en: Scientific reports (Nature Publishing Group) 12, 2831 (2022), [10 pp]
ISSN: 2045-2322

Factor impacto JCR: 4.6 (2022)

Categ. JCR: MULTIDISCIPLINARY SCIENCES rank: 22 / 73 = 0.301 (2022) - Q2 - T1

Factor impacto CITESCORE: 7.5 - General (Q1)

Factor impacto SCIMAGO: 0.973 - Multidisciplinary (Q1)

Financiación: info:eu-repo/grantAgreement/ES/DGA-FEDER/B01-20R
Financiación: info:eu-repo/grantAgreement/ES/IISA-ISCIII/CM19-00164

Tipo y forma: Article (Published version)

Área (Departamento): Area Medicina (Dpto. Medicina, Psiqu. y Derm.)