112104 20240319080955.0 doi 10.1038/s41598-022-06838-9 sideral 128070 ART-2022-128070 eng Carmona-Pírez, J. Identifying multimorbidity profiles associated with COVID-19 severity in chronic patients using network analysis in the PRECOVID Study; 35181720 2022 Access copy available to the general public Unrestricted 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). info:eu-repo/grantAgreement/ES/DGA-FEDER/B01-20R info:eu-repo/grantAgreement/ES/IISA-ISCIII/CM19-00164 info:eu-repo/semantics/openAccess by http://creativecommons.org/licenses/by/3.0/es/ 4.6 2022 MULTIDISCIPLINARY SCIENCES 22 / 73 = 0.301 2022 Q2 T1 0.973 2022 Multidisciplinary 2022 Q1 7.5 2022 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Gimeno-Miguel, A. Bliek-Bueno, K. Poblador-Plou, B. Díez-Manglano, J. Universidad de Zaragoza (orcid)0000-0002-3132-2171 Ioakeim-Skoufa, I. González-Rubio, F. Poncel-Falcó, A. Prados-Torres, A. Gimeno-Feliu, L. Universidad de Zaragoza (orcid)0000-0003-2928-6623 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 1007 610 Universidad de Zaragoza Dpto. Medicina, Psiqu. y Derm. Area Medicina 12, 2831 (2022), [10 pp] Sci. rep. (Nat. Publ. Group) Scientific reports (Nature Publishing Group) 2045-2322 1849088 http://zaguan.unizar.es/record/112104/files/texto_completo.pdf Versión publicada 2684247 http://zaguan.unizar.es/record/112104/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:112104 articulos driver 2024-03-18-13:35:09 ARTICLE