{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,2]],"date-time":"2026-07-02T11:45:23Z","timestamp":1782992723898,"version":"3.54.5"},"reference-count":29,"publisher":"Ovid Technologies (Wolters Kluwer Health)","issue":"6","content-domain":{"domain":["www.ahajournals.org"],"crossmark-restriction":true},"short-container-title":["JAHA"],"published-print":{"date-parts":[[2026,3,17]]},"abstract":"<jats:sec xml:lang=\"en\">\n                    <jats:title>Background<\/jats:title>\n                    <jats:p xml:lang=\"en\">Postoperative acute ischemic stroke remains a critical complication of coronary artery bypass grafting. This study aimed to develop a novel Total Cerebral Atherosclerosis Burden (TCAB) score for predicting the risk of AIS post\u2010coronary artery bypass grafting.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec xml:lang=\"en\">\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p xml:lang=\"en\">A prospective cohort of patients undergoing coronary artery bypass grafting was enrolled. The TCAB score was calculated by summing stenosis severity grades (0: &lt;50%, 1: 50\u201369%, 2: 70\u201399%, 3: 100%) across all intracranial and extracranial artery segments. Primary outcome was in\u2010hospital ischemic stroke. Multivariable logistic regression models adjusted for key clinical covariates were used to evaluate the association between TCAB and clinical outcomes.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec xml:lang=\"en\">\n                    <jats:title>Results<\/jats:title>\n                    <jats:p xml:lang=\"en\">\n                      Among 909 included patients, the mean TCAB score was significantly higher in patients with in\u2010hospital ischemic stroke compared with those without (8 versus 2,\n                      <jats:italic toggle=\"no\">P<\/jats:italic>\n                      \u2009&lt;\u20090.001). A TCAB score &gt;3 predicted in\u2010hospital ischemic stroke with an area under the curve of 0.756. Across all 3 multivariable models, higher TCAB scores remained independently associated with in\u2010hospital ischemic stroke (Model 3: odds ratio [OR]=1.089,\n                      <jats:italic toggle=\"no\">P<\/jats:italic>\n                      =0.011), 1\u2010year ischemic stroke (OR=1.093,\n                      <jats:italic toggle=\"no\">P<\/jats:italic>\n                      =0.011), and 1\u2010year major adverse cardiovascular and cerebrovascular events (OR=1.068,\n                      <jats:italic toggle=\"no\">P<\/jats:italic>\n                      =0.020). The gradient boosting machine achieved the most stable predictive ability (area under the curve=0.8736 for in\u2010hospital ischemic stroke; 0.8575 for 1\u2010year ischemic stroke; 0.7475 for 1\u2010year major adverse cardiovascular and cerebrovascular events).\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec xml:lang=\"en\">\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p xml:lang=\"en\">The TCAB score, enhanced by machine learning, effectively predicted in\u2010hospital ischemic stroke, 1\u2010year ischemic stroke, and 1\u2010year major adverse cardiovascular and cerebrovascular events post\u2010coronary artery bypass grafting. It offers a practical tool for guiding preoperative revascularization and intraoperative embolic protection.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1161\/jaha.125.043567","type":"journal-article","created":{"date-parts":[[2026,3,4]],"date-time":"2026-03-04T12:40:28Z","timestamp":1772628028000},"update-policy":"https:\/\/doi.org\/10.1161\/crossmarkpolicy","source":"Crossref","is-referenced-by-count":1,"title":["Machine Learning\u2010Enhanced TCAB Score for Predicting Postoperative Ischemic Stroke After CABG"],"prefix":"10.1161","volume":"15","author":[{"ORCID":"https:\/\/orcid.org\/0009-0008-0648-0013","authenticated-orcid":false,"given":"Yingjian","family":"Pei","sequence":"first","affiliation":[{"name":"Chinese Academy of Medical Sciences and Peking Union Medical College","place":["Beijing, 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First People\u2019s Hospital","place":["Handan, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Na","family":"Zhao","sequence":"additional","affiliation":[{"name":"Chinese Academy of Medical Sciences and Peking Union Medical College","place":["Beijing, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yajun","family":"Ma","sequence":"additional","affiliation":[{"name":"Chinese Academy of Medical Sciences and Peking Union Medical College","place":["Beijing, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5497-8491","authenticated-orcid":false,"given":"Xinmin","family":"Liu","sequence":"additional","affiliation":[{"name":"Chinese Academy of Medical Sciences and Peking Union Medical College","place":["Beijing, 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