{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,12]],"date-time":"2026-01-12T04:44:51Z","timestamp":1768193091849,"version":"3.49.0"},"reference-count":41,"publisher":"Ovid Technologies (Wolters Kluwer Health)","issue":"7","content-domain":{"domain":["www.ahajournals.org"],"crossmark-restriction":true},"short-container-title":["JAHA"],"published-print":{"date-parts":[[2025,4]]},"abstract":"<jats:sec xml:lang=\"en\">\n                    <jats:title>Background<\/jats:title>\n                    <jats:p xml:lang=\"en\">Recent evidence highlights an increasing incidence of myocardial infarction in young women. Identifying clinical multimorbidity patterns in this population may improve therapeutic strategies and clinical care.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec xml:lang=\"en\">\n                    <jats:title>Methods and Results<\/jats:title>\n                    <jats:p xml:lang=\"en\">We identified multimorbidity patterns in 9570 young women with ST\u2010segment\u2013elevation myocardial infarction (median age, 50\u2009years [range, 47.0\u201353.0\u2009years]) admitted to the China Chest Pain Center Database between 2016 and 2021. Hierarchical clustering of 15 medical conditions was performed to derive multimorbidity patterns. The primary outcome was a composite of in\u2010hospital adverse events. Associations between multimorbidity patterns and outcomes were evaluated using multivariable\u2010adjusted logistic regression models. Among 9570 patients, 50% (n=4789) had multimorbidity. Six multimorbidity patterns were identified, including 4 specific patterns: (1) pattern 1, cerebrovascular cluster (histories of cerebrovascular disease and hypertension); (2) pattern 2, traditional cardiovascular disease risk factors cluster (histories of hyperlipidemia, obesity, and\u00a0diabetes, and family history of cardiovascular disease and smoking); (3) pattern 3, coronary\u2010heart failure cluster (histories of heart failure, coronary artery disease, peripheral arterial disease, and thyroid dysfunction); and (4) pattern 4, anemia\u2010renal dysfunction cluster (histories of atrial fibrillation, anemia, chronic kidney disease, and peptic ulcer). Compared with patients without multimorbidity, those with pattern 1 (odds ratio [OR], 2.29 [95% CI, 1.49\u20133.52]), pattern 2 (OR, 1.52 [95% CI, 1.24\u20131.86]), and pattern 4 (OR, 2.25 [95% CI, 1.10\u20134.61]) exhibited higher risks for composite outcomes.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec xml:lang=\"en\">\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p xml:lang=\"en\">Specific multimorbidity patterns in young women with ST\u2010segment\u2013elevation myocardial infarction were associated with distinct in\u2010hospital outcomes in a nationwide registry, providing proof\u2010of\u2010concept evidence to guide future therapeutic approaches.<\/jats:p>\n                  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