{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T17:46:06Z","timestamp":1782927966465,"version":"3.54.5"},"reference-count":50,"publisher":"Oxford University Press (OUP)","issue":"7","license":[{"start":{"date-parts":[[2026,5,11]],"date-time":"2026-05-11T00:00:00Z","timestamp":1778457600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/pages\/standard-publication-reuse-rights"}],"funder":[{"name":"National Institutes of Health, including the Claude D. Pepper Older Americans Independence Center at Yale University","award":["P30AG21342"],"award-info":[{"award-number":["P30AG21342"]}]},{"name":"National Institutes of Health, including the Claude D. 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This study aimed to characterize cognitive trajectories among older adults in the 6\u2009months after hospitalization with COVID-19 and identify associated factors.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>This prospective longitudinal cohort study included 311 community-dwelling adults age \u226560\u2009years hospitalized with COVID-19 and enrolled in the VALIANT (COVID-19 in Older Adults: A \u00a0Longitudinal Assessment) study between June 2020 and June 2021. Cognitive performance was assessed using the Montreal Cognitive Assessment 5-min protocol during hospitalization and at 1, 3, and 6\u2009months post-discharge. Sociodemographic and clinical data were collected via baseline interviews and the electronic health record. Cognitive trajectories and their associated factors were identified using discrete mixture models and multinomial logistic regression.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Mean age was 71.4\u2009\u00b1\u20098.4\u2009years (54.6% women, 3.7% with documented evidence of pre-admission CI, 41% with in-hospital CI). Three cognitive trajectories were identified at 6\u2009months post-discharge: persistent moderate impairment (14.1%), borderline impairment (47.5%), and no impairment (38.4%). Factors associated with membership in persistent moderate or borderline impairment trajectories, relative to the no impairment trajectory, were in-hospital cognitive performance, delirium, hearing impairment, and multimorbidity. Pre-admission CI perfectly predicted membership in the no impairment trajectory (ie, zero participants in the no impairment trajectory had pre-admission CI).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>Distinct cognitive trajectories of persistent moderate impairment, borderline impairment, and no impairment emerged among older adults during the 6\u2009months after hospitalization for COVID-19. Trajectory membership was predicted by several clinical factors, screening for which may be useful in predicting cognitive trajectories after COVID-19 hospitalization.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1093\/gerona\/glag118","type":"journal-article","created":{"date-parts":[[2026,5,8]],"date-time":"2026-05-08T11:47:10Z","timestamp":1778240830000},"source":"Crossref","is-referenced-by-count":0,"title":["Trajectories of cognitive performance in the six months after hospitalization with COVID-19 among community-dwelling older adults"],"prefix":"10.1093","volume":"81","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8755-6751","authenticated-orcid":false,"given":"Judy","family":"Li","sequence":"first","affiliation":[{"name":"Yale School of Medicine , New Haven, Connecticut,","place":["United States"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Gail","family":"McAvay","sequence":"additional","affiliation":[{"name":"Yale School of Medicine , New 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