{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,28]],"date-time":"2026-08-28T19:40:15Z","timestamp":1787946015318,"version":"build-2784847793"},"reference-count":42,"publisher":"SAGE Publications","license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["72274133"],"award-info":[{"award-number":["72274133"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["82270349"],"award-info":[{"award-number":["82270349"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["82320108001"],"award-info":[{"award-number":["82320108001"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["82321001"],"award-info":[{"award-number":["82321001"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Tianjin Key Medical Discipline (Specialty) Construction Project","award":["TJYXZDXK-069C"],"award-info":[{"award-number":["TJYXZDXK-069C"]}]}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Clin Appl Thromb Hemost"],"published-print":{"date-parts":[[2024,1]]},"abstract":"<jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Intracranial haemorrhage (ICH) poses a significant threat to patients on Direct Oral Anticoagulants (DOACs), with existing risk scores inadequately predicting ICH risk in these patients. We aim to develop and validate a predictive model for ICH risk in DOAC-treated patients.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>24,794 patients treated with a DOAC were identified in a province-wide electronic medical and health data platform in Tianjin, China. The cohort was randomly split into a 4:1 ratio for model development and validation. We utilized forward stepwise selection, Least Absolute Shrinkage and Selection Operator (LASSO), and eXtreme Gradient Boosting (XGBoost) to select predictors. Model performance was compared using the area under the curve (AUC) and net reclassification index (NRI). The optimal model was stratified and compared with the DOAC model.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>The median age is 68.0 years, and 50.4% of participants are male. The XGBoost model, incorporating six independent factors (history of hemorrhagic stroke, peripheral artery disease, venous thromboembolism, hypertension, age, low-density lipoprotein cholesterol levels), demonstrated superior performance in the development dateset. It showed moderate discrimination (AUC: 0.68, 95% CI: 0.64\u20130.73), outperforming existing DOAC scores (\u0394AUC\u2009=\u20090.063, P\u2009=\u20090.003; NRI\u2009=\u20090.374, P\u2009&lt;\u20090.001). Risk categories significantly stratified ICH risk (low risk: 0.26%, moderate risk: 0.74%, high risk: 5.51%). Finally, the model demonstrated consistent predictive performance in the internal validation.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>In a real-world Chinese population using DOAC therapy, this study presents a reliable predictive model for ICH risk. The XGBoost model, integrating six key risk factors, offers a valuable tool for individualized risk assessment in the context of oral anticoagulation therapy.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1177\/10760296241271338","type":"journal-article","created":{"date-parts":[[2024,8,14]],"date-time":"2024-08-14T10:00:41Z","timestamp":1723629641000},"update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":12,"title":["Development and Validation of a Predictive Model for Intracranial Haemorrhage in Patients on Direct Oral Anticoagulants"],"prefix":"10.1177","volume":"30","author":[{"given":"Yuanyuan","family":"Liu","sequence":"first","affiliation":[{"name":"Department of Cardiology, Tianjin Medical University General Hospital, 154 Anshan Road, Heping District, Tianjin 300052, China"},{"name":"Department of Cardiology, Qingzhou People's Hospital, Weifang, Shandong 262500, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Linjie","family":"Li","sequence":"additional","affiliation":[{"name":"Department of Cardiology, Tianjin Medical University General Hospital, 154 Anshan Road, Heping District, Tianjin 300052, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jingge","family":"Li","sequence":"additional","affiliation":[{"name":"Department of Cardiology, Tianjin Medical University General Hospital, 154 Anshan Road, Heping District, Tianjin 300052, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hangkuan","family":"Liu","sequence":"additional","affiliation":[{"name":"Department of Cardiology, Tianjin Medical University General Hospital, 154 Anshan Road, Heping District, Tianjin 300052, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"A","family":"Geru","sequence":"additional","affiliation":[{"name":"Department of Cardiology, Tianjin Medical University General Hospital, 154 Anshan Road, Heping District, Tianjin 300052, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yulong","family":"Wang","sequence":"additional","affiliation":[{"name":"Department of Cardiology, Tianjin Medical University General Hospital, 154 Anshan Road, Heping District, Tianjin 300052, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yongle","family":"Li","sequence":"additional","affiliation":[{"name":"Department of Cardiology, Tianjin Medical University General Hospital, 154 Anshan Road, Heping District, Tianjin 300052, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ching-Hui","family":"Sia","sequence":"additional","affiliation":[{"name":"Yong Loo-Lin School of Medicine, National University of Singapore, 1E, Kent, Ridge Road, Singapore 119228, Singapore"},{"name":"Department of Cardiology, National University Heart Centre, 5 Lower Kent Ridge Rd, Singapore 119074, Singapore"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Gregory Y. 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