000112104 001__ 112104
000112104 005__ 20240319080955.0
000112104 0247_ $$2doi$$a10.1038/s41598-022-06838-9
000112104 0248_ $$2sideral$$a128070
000112104 037__ $$aART-2022-128070
000112104 041__ $$aeng
000112104 100__ $$aCarmona-Pírez, J.
000112104 245__ $$aIdentifying multimorbidity profiles associated with COVID-19 severity in chronic patients using network analysis in the PRECOVID Study; 35181720
000112104 260__ $$c2022
000112104 5060_ $$aAccess copy available to the general public$$fUnrestricted
000112104 5203_ $$aA 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).
000112104 536__ $$9info:eu-repo/grantAgreement/ES/DGA-FEDER/B01-20R$$9info:eu-repo/grantAgreement/ES/IISA-ISCIII/CM19-00164
000112104 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000112104 590__ $$a4.6$$b2022
000112104 592__ $$a0.973$$b2022
000112104 591__ $$aMULTIDISCIPLINARY SCIENCES$$b22 / 73 = 0.301$$c2022$$dQ2$$eT1
000112104 593__ $$aMultidisciplinary$$c2022$$dQ1
000112104 594__ $$a7.5$$b2022
000112104 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000112104 700__ $$aGimeno-Miguel, A.
000112104 700__ $$aBliek-Bueno, K.
000112104 700__ $$aPoblador-Plou, B.
000112104 700__ $$0(orcid)0000-0002-3132-2171$$aDíez-Manglano, J.$$uUniversidad de Zaragoza
000112104 700__ $$aIoakeim-Skoufa, I.
000112104 700__ $$aGonzález-Rubio, F.
000112104 700__ $$aPoncel-Falcó, A.
000112104 700__ $$aPrados-Torres, A.
000112104 700__ $$0(orcid)0000-0003-2928-6623$$aGimeno-Feliu, L.$$uUniversidad de Zaragoza
000112104 700__ $$aMoreno-Juste, A.
000112104 700__ $$aCano-del-Pozo, M.
000112104 700__ $$aBandrés-Liso, A. C.
000112104 700__ $$aPico-Soler, V.
000112104 700__ $$aAza-Pascual-Salcedo, M.
000112104 700__ $$aAra-Bardají, P.
000112104 700__ $$aon behalf of the, PRECOVID Group
000112104 7102_ $$11007$$2610$$aUniversidad de Zaragoza$$bDpto. Medicina, Psiqu. y Derm.$$cArea Medicina
000112104 773__ $$g12, 2831 (2022), [10 pp]$$pSci. rep. (Nat. Publ. Group)$$tScientific reports (Nature Publishing Group)$$x2045-2322
000112104 8564_ $$s1849088$$uhttps://zaguan.unizar.es/record/112104/files/texto_completo.pdf$$yVersión publicada
000112104 8564_ $$s2684247$$uhttps://zaguan.unizar.es/record/112104/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000112104 909CO $$ooai:zaguan.unizar.es:112104$$particulos$$pdriver
000112104 951__ $$a2024-03-18-13:35:09
000112104 980__ $$aARTICLE