{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,4]],"date-time":"2026-05-04T22:16:35Z","timestamp":1777932995088,"version":"3.51.4"},"reference-count":30,"publisher":"SAGE Publications","issue":"3","license":[{"start":{"date-parts":[[2022,6,1]],"date-time":"2022-06-01T00:00:00Z","timestamp":1654041600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Rejuvenation Research"],"published-print":{"date-parts":[[2022,6]]},"abstract":"<jats:p>\n                    COVID-19 may have a heterogeneous onset, especially in older age. However, whether and how COVID-19 signs and symptoms may present and aggregate together according to sociodemographic and health factors is unclear, as well as their prognostic value. This study included 981 COVID-19 inpatients who participated in the GeroCovid Observational study. Signs\/symptoms at disease onset, sociodemographic, health, cognitive status, and mobility were systematically recorded. Clusters of signs\/symptoms were identified through agglomerative hierarchical clustering. The associations of single signs\/symptoms and symptom clusters with longer hospitalization (\u226516 days) and in-hospital mortality were explored through logistic and Cox regressions. The signs\/symptoms most reported in our sample (age 78.3\u2009\u00b1\u20099.39 years; 49.4% women) were fever (62.5%), cough (45.5%), and dyspnea (62.7%). Atypical symptoms were reported by up to one-third of patients, and delirium by 9.1%. Atypical symptoms were more frequent with advancing age and with lower pre-COVID-19 cognitive and mobility levels. Older men more likely reported respiratory symptoms than women. Dyspnea (hazard ratio [HR]\u2009=\u20091.47, 95% confidence interval [CI]: 1.02\u20132.12), tachypnea (HR\u2009=\u20091.53, 95% CI: 1.14\u20132.07), low oxygen saturation (HR\u2009=\u20091.95, 95% CI: 1.32\u20132.88) and delirium (HR\u2009=\u20091.60, 95% CI: 1.13\u20132.28) were associated with higher in-hospital mortality. Four symptom clusters were identified. Compared with the\n                    <jats:italic toggle=\"yes\">mild respiratory symptoms<\/jats:italic>\n                    cluster, the\n                    <jats:italic toggle=\"yes\">severe clinical impairment<\/jats:italic>\n                    cluster was associated with higher mortality (HR\u2009=\u20092.57, 95% CI: 1.58\u20134.18). The\n                    <jats:italic toggle=\"yes\">severe clinical impairment<\/jats:italic>\n                    and\n                    <jats:italic toggle=\"yes\">aspecific<\/jats:italic>\n                    symptoms clusters were associated with longer hospitalization (odds ratio [OR]\u2009=\u20092.38, 95% CI: 1.56\u20133.63, and OR\u2009=\u20091.75, 95% CI: 1.08\u20132.83, respectively). Multiple health aspects influence COVID-19 clinical presentation. A symptom clusters approach may help predict adverse health outcomes in older patients. In addition to respiratory symptoms, delirium is independently associated with mortality risk.\n                  <\/jats:p>\n                  <jats:p>\n                    <jats:uri xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" xlink:href=\"http:\/\/ClinicalTrials.gov\">ClinicalTrials.gov<\/jats:uri>\n                    (NCT04379440).\n                  <\/jats:p>","DOI":"10.1089\/rej.2021.0063","type":"journal-article","created":{"date-parts":[[2022,5,16]],"date-time":"2022-05-16T03:22:15Z","timestamp":1652671335000},"page":"129-140","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":8,"title":["COVID-19 as a Paradigmatic Model of the Heterogeneous Disease Presentation in Older People: Data from the GeroCovid Observational 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