{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,7]],"date-time":"2026-10-07T15:00:52Z","timestamp":1791385252160,"version":"4.3.3"},"reference-count":25,"publisher":"Wiley","license":[{"start":{"date-parts":[[2026,10,7]],"date-time":"2026-10-07T00:00:00Z","timestamp":1791331200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"},{"start":{"date-parts":[[2026,10,7]],"date-time":"2026-10-07T00:00:00Z","timestamp":1791331200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Cathet Cardio Intervent"],"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Atrial fibrillation (AF) after myocardial infarction (MI) is associated with significant morbidity and mortality, yet existing risk stratification tools perform poorly in this population. Conventional predictors fail to capture multidimensional risk, while data\u2010driven approaches may identify latent phenotypes with improved prognostic value.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Aims<\/jats:title>\n                    <jats:p>We sought to identify phenotypes of new\u2010onset AF after MI using principal component analysis (PCA), evaluate their association with adverse outcomes, and develop a simple decision\u2010tree model for clinical risk stratification.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>We analyzed 451 patients with new\u2010onset AF after MI. PCA identified low\u2010, intermediate\u2010, and high\u2010risk phenogroups. The primary endpoint was 3\u2010year mortality, stroke, or MACE. Kaplan\u2013Meier and multivariable Cox models assessed outcomes. Decision trees predicted phenogroup membership, with angiographic features compared across risk tiers.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      PCA identified three phenogroups (low, intermediate, high risk) driven mainly by LVESV, LVEDV, LVEF, sex, and CHA\n                      <jats:sub>2<\/jats:sub>\n                      DS\n                      <jats:sub>2<\/jats:sub>\n                      \u2010VASc. Clusters showed clear separation on PCA mapping. Event\u2010free survival differed significantly across groups (log\u2010rank\n                      <jats:italic>p<\/jats:italic>\n                      \u2009&lt;\u20090.0001), with the lowest survival in the high\u2010risk cluster. After multivariable adjustment for clinical risk factors, phenogroups remained independently associated with adverse outcomes. A simplified decision tree using LVEF, CHA\n                      <jats:sub>2<\/jats:sub>\n                      DS\n                      <jats:sub>2<\/jats:sub>\n                      \u2010VASc, LVEDV, age, and TR Vmax predicted risk with 72.3% accuracy, supporting bedside risk stratification in post\u2010MI AF patient populations.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>Phenomapping identified three distinct AF risk groups with different clinical outcomes. LV size and function were the strongest contributors to phenotypic separation. The decision tree offered a clear, accurate, and interpretable framework that supports a new strategy for identifying appropriate patients with AF after MI.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/ccd.70923","type":"journal-article","created":{"date-parts":[[2026,10,7]],"date-time":"2026-10-07T14:31:49Z","timestamp":1791383509000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Phenotype\u2010Based Risk Stratification in Patients With New\u2010Onset Atrial Fibrillation Following Myocardial Infarction Using a Data\u2010Driven Approach"],"prefix":"10.1002","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5612-7022","authenticated-orcid":false,"given":"Carl","family":"Ammoury","sequence":"first","affiliation":[{"name":"Department of Cardiovascular Medicine Heart, Vascular, and Thoracic Institute, Cleveland Clinic Cleveland Ohio 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