{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,22]],"date-time":"2026-02-22T00:29:36Z","timestamp":1771720176477,"version":"3.50.1"},"reference-count":20,"publisher":"Wiley","issue":"4","license":[{"start":{"date-parts":[[2022,12,15]],"date-time":"2022-12-15T00:00:00Z","timestamp":1671062400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"funder":[{"DOI":"10.13039\/100000968","name":"American Heart Association","doi-asserted-by":"publisher","award":["17MCPRP33370062"],"award-info":[{"award-number":["17MCPRP33370062"]}],"id":[{"id":"10.13039\/100000968","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000050","name":"National Heart, Lung, and Blood Institute","doi-asserted-by":"publisher","award":["R01HL115295"],"award-info":[{"award-number":["R01HL115295"]}],"id":[{"id":"10.13039\/100000050","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000049","name":"National Institute on Aging","doi-asserted-by":"publisher","award":["P30AG021342"],"award-info":[{"award-number":["P30AG021342"]}],"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":["T32AG019134"],"award-info":[{"award-number":["T32AG019134"]}],"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":[[2023,4]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Health status is increasingly recognized as an important patient\u2010centered outcome after acute myocardial infarction (AMI). Yet drivers of decline in health status after AMI remain largely unknown in older adults. We sought to develop and validate a predictive risk model for health status decline among older adult survivors of AMI.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>Using data from a prospective cohort study conducted from 2013 to 2017 of 3041 patients age \u226575\u2009years hospitalized with acute myocardial infarction at 94\u2009U.S. hospitals, we examined a broad array of demographic, clinical, functional, and psychosocial variables for their association with health status decline, defined as a decrease of \u22655 points in the Short Form\u201012 (SF\u201012) physical component score from hospitalization to 6\u2009months post\u2010discharge. Model selection was performed in logistic regression models of 20 imputed datasets to yield a parsimonious risk prediction model. Model discrimination and calibration were evaluated using c\u2010statistics and calibration plots, respectively.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      Of the 2571 participants included in the main analyses, 30% of patients experienced health status decline from hospitalization to 6\u2009months post\u2010discharge. The risk model contained 14 factors, 10 associated with higher risk of health status decline (age, pre\u2010existing AMI, pre\u2010existing cancer, pre\u2010existing COPD, pre\u2010existing diabetes, history of falls, presenting Killip class, acute kidney injury, baseline health status, and mobility impairment) and four associated with lower risk of health status decline (male sex, higher hemoglobin, receipt of revascularization, and arrhythmia during hospitalization). The model displayed good discrimination (c\u2010statistic\u00a0=\u00a00.74 in validation cohort) and calibration (\n                      <jats:italic>p<\/jats:italic>\n                      \u2009&gt;\u20090.05) in both development and validation cohorts.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>We used split sampling to develop and validate a risk model for health status decline in older adults after hospitalization for AMI and identified several risk factors that may be modifiable to mitigate the threat of this important patient\u2010centered outcome. External validation of this risk model is warranted.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1111\/jgs.18162","type":"journal-article","created":{"date-parts":[[2022,12,15]],"date-time":"2022-12-15T08:12:36Z","timestamp":1671091956000},"page":"1228-1235","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["A risk model for decline in health status after acute myocardial infarction among older adults"],"prefix":"10.1111","volume":"71","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5800-347X","authenticated-orcid":false,"given":"Alexandra M.","family":"Hajduk","sequence":"first","affiliation":[{"name":"Department of Internal Medicine Yale School of Medicine  New Haven Connecticut USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"John A.","family":"Dodson","sequence":"additional","affiliation":[{"name":"Leon H. Charney Division of Cardiology, Department of Medicine New York University School of Medicine  New York New York USA"},{"name":"Division of Healthcare Delivery Science, Department of Population Health New York University School of Medicine  New York New York USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9649-517X","authenticated-orcid":false,"given":"Terrence E.","family":"Murphy","sequence":"additional","affiliation":[{"name":"Department of Public Health Sciences Penn State College of Medicine  State College Pennsylvania USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sarwat I.","family":"Chaudhry","sequence":"additional","affiliation":[{"name":"Department of Internal Medicine Yale School of Medicine  New Haven Connecticut USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2022,12,15]]},"reference":[{"key":"e_1_2_10_2_1","doi-asserted-by":"publisher","DOI":"10.1001\/jamanetworkopen.2019.1938"},{"key":"e_1_2_10_3_1","doi-asserted-by":"publisher","DOI":"10.1001\/archinternmed.2011.424"},{"key":"e_1_2_10_4_1","doi-asserted-by":"publisher","DOI":"10.1161\/01.cir.0000020805.31531.48"},{"key":"e_1_2_10_5_1","doi-asserted-by":"publisher","DOI":"10.1161\/01.CIR.0000020688.24874.90"},{"key":"e_1_2_10_6_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jpsychores.2008.06.004"},{"key":"e_1_2_10_7_1","doi-asserted-by":"publisher","DOI":"10.1161\/CIRCOUTCOMES.116.002883"},{"key":"e_1_2_10_8_1","doi-asserted-by":"publisher","DOI":"10.1097\/00005650-199603000-00003"},{"key":"e_1_2_10_9_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ahj.2012.02.024.Physical"},{"key":"e_1_2_10_10_1","doi-asserted-by":"publisher","DOI":"10.1186\/s12913\u2010014\u20100506\u20104"},{"key":"e_1_2_10_11_1","doi-asserted-by":"publisher","DOI":"10.1161\/CIR.0b013e31826e1058"},{"key":"e_1_2_10_12_1","doi-asserted-by":"publisher","DOI":"10.1111\/jgs.15102"},{"key":"e_1_2_10_13_1","doi-asserted-by":"publisher","DOI":"10.1097\/01.MLR.0000062554.74615.4C"},{"key":"e_1_2_10_14_1","doi-asserted-by":"publisher","DOI":"10.1161\/CIRCULATIONAHA.114.014503"},{"key":"e_1_2_10_15_1","doi-asserted-by":"publisher","DOI":"10.1053\/j.semtcvs.2020.05.001"},{"key":"e_1_2_10_16_1","doi-asserted-by":"publisher","DOI":"10.1161\/CIR.0b013e31823b21e2"},{"key":"e_1_2_10_17_1","doi-asserted-by":"publisher","DOI":"10.1186\/s12955\u2010015\u20100355\u20109"},{"key":"e_1_2_10_18_1","doi-asserted-by":"publisher","DOI":"10.1001\/jamacardio.2015.0248"},{"key":"e_1_2_10_19_1","doi-asserted-by":"publisher","DOI":"10.1093\/annonc\/mdg167"},{"key":"e_1_2_10_20_1","doi-asserted-by":"publisher","DOI":"10.1016\/S1388\u20109842(02)00115\u20100"},{"key":"e_1_2_10_21_1","volume-title":"Crossing the Quality Chasm: A New Health System for the 21st Century","author":"Institute of Medicine","year":"2001"}],"container-title":["Journal of the American Geriatrics Society"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1111\/jgs.18162","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/full-xml\/10.1111\/jgs.18162","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/agsjournals.onlinelibrary.wiley.com\/doi\/pdf\/10.1111\/jgs.18162","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,11,3]],"date-time":"2025-11-03T17:01:45Z","timestamp":1762189305000},"score":1,"resource":{"primary":{"URL":"https:\/\/agsjournals.onlinelibrary.wiley.com\/doi\/10.1111\/jgs.18162"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,12,15]]},"references-count":20,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2023,4]]}},"alternative-id":["10.1111\/jgs.18162"],"URL":"https:\/\/doi.org\/10.1111\/jgs.18162","archive":["Portico"],"relation":{},"ISSN":["0002-8614","1532-5415"],"issn-type":[{"value":"0002-8614","type":"print"},{"value":"1532-5415","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,12,15]]},"assertion":[{"value":"2022-04-18","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2022-11-07","order":2,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2022-12-15","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}