{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,25]],"date-time":"2026-10-25T02:23:23Z","timestamp":1792895003747,"version":"4.5.0"},"reference-count":36,"publisher":"Wiley","issue":"10","license":[{"start":{"date-parts":[[2023,6,24]],"date-time":"2023-06-24T00:00:00Z","timestamp":1687564800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"funder":[{"DOI":"10.13039\/100000049","name":"National Institute on Aging","doi-asserted-by":"publisher","award":["K08AG055670"],"award-info":[{"award-number":["K08AG055670"]}],"id":[{"id":"10.13039\/100000049","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000049","name":"National Institute on Aging","doi-asserted-by":"publisher","award":["K24AG073527"],"award-info":[{"award-number":["K24AG073527"]}],"id":[{"id":"10.13039\/100000049","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000049","name":"National Institute on Aging","doi-asserted-by":"publisher","award":["R01AG062713"],"award-info":[{"award-number":["R01AG062713"]}],"id":[{"id":"10.13039\/100000049","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["agsjournals.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["J American Geriatrics Society"],"published-print":{"date-parts":[[2023,10]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Among older adults, non\u2010cardiovascular multimorbidity often coexists with cardiovascular disease (CVD) but their clinical significance is uncertain. We identified common non\u2010cardiovascular comorbidity patterns and their association with clinical outcomes in Medicare fee\u2010for\u2010service beneficiaries with acute myocardial infarction (AMI), congestive heart failure (CHF), or atrial fibrillation (AF).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>\n                      Using 2015\u20132016 Medicare data, we took 1% random sample to create 3 cohorts of beneficiaries diagnosed with AMI (\n                      <jats:italic>n<\/jats:italic>\n                      \u2009=\u200924,808), CHF (\n                      <jats:italic>n<\/jats:italic>\n                      \u2009=\u200957,285), and AF (\n                      <jats:italic>n<\/jats:italic>\n                      \u2009=\u200936,277) prior to 1\/1\/2016. Within each cohort, we applied latent class analysis to classify beneficiaries based on 9 non\u2010cardiovascular comorbidities (anemia, cancer, chronic kidney disease, chronic lung disease, dementia, depression, diabetes, hypothyroidism, and musculoskeletal disease). Mortality, cardiovascular and non\u2010cardiovascular hospitalizations, and home time lost over a 1\u2010year follow\u2010up period were compared across non\u2010cardiovascular multimorbidity classes.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Similar non\u2010cardiovascular multimorbidity classes emerged from the 3 CVD cohorts: (1) minimal, (2) depression\u2010lung, (3) chronic kidney disease (CKD)\u2010diabetes, and (4) multi\u2010system class. Across CVD cohorts, multi\u2010system class had the highest risk of mortality (hazard ratio [HR], 2.7\u20133.9), cardiovascular hospitalization (HR, 1.6\u20133.3), non\u2010cardiovascular hospitalization (HR, 3.1\u20137.2), and home time lost (rate ratio, 2.7\u20135.4). Among those with AMI, the CKD\u2010diabetes class was more strongly associated with all the adverse outcomes than the depression\u2010lung class. In CHF and AF, differences in risk between the depression\u2010lung and CKD\u2010diabetes classes varied per outcome; and the depression\u2010lung and multi\u2010system classes had double the rates of non\u2010cardiovascular hospitalizations than cardiovascular hospitalizations.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>Four non\u2010cardiovascular multimorbidity patterns were found among Medicare beneficiaries with CHF, AMI, or AF. Compared to the minimal class, the multi\u2010system, CKD\u2010diabetes, and depression\u2010lung classes were associated with worse outcomes. Identification of these classes offers insight into specific segments of the population that may benefit from more than the usual cardiovascular care.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1111\/jgs.18479","type":"journal-article","created":{"date-parts":[[2023,6,24]],"date-time":"2023-06-24T21:36:57Z","timestamp":1687642617000},"page":"3179-3188","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":11,"title":["Common\n                    <scp>non\u2010cardiovascular<\/scp>\n                    multimorbidity groupings and clinical outcomes in older adults with major cardiovascular disease"],"prefix":"10.1111","volume":"71","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3894-7219","authenticated-orcid":false,"given":"Stephanie Denise M.","family":"Sison","sequence":"first","affiliation":[{"name":"Division of Gerontology, Department of Medicine Beth Israel Deaconess Medical Center  Boston Massachusetts 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Massachusetts USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Elisabetta","family":"Patorno","sequence":"additional","affiliation":[{"name":"Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine Brigham and Women's Hospital  Boston Massachusetts USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lily G.","family":"Bessette","sequence":"additional","affiliation":[{"name":"Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine Brigham and Women's Hospital  Boston Massachusetts USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Heidi","family":"Zakoul","sequence":"additional","affiliation":[{"name":"Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine Brigham and Women's Hospital  Boston Massachusetts USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7290-6838","authenticated-orcid":false,"given":"Dae 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