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They were randomly assigned in a 7:3 ratio to form training and independent test sets, and their clinical and imaging data were collected and analyzed. Nomogram models were established to predict the recurrence of AAP.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Among 152 cases of initial AAP, 37 cases were recurrent and 115 were non\u2010recurrent, with a mean (SD) age of 43.84\u2009\u00b1\u200910.28\u2009years and 91.45% male participants. In the training set, 26 cases were recurrent and 80 were non\u2010recurrent; in the independent test set, 11 cases were recurrent and 35 were non\u2010recurrent. Multivariable logistic regression analysis showed that hyperlipidemia, pre\u2010onset alcohol consumption, alcohol cessation, the Bedside Index for Severity in AP (BISAP) score, extrapancreatic inflammation on CT\/MRI (EPIC\/EPIM) score, and CT\/MRI severity index (CTSI\/MRSI) score were independent predictors of recurrence after initial AAP onset. Integrating these factors into a nomogram prediction model resulted in the area under the curve (AUC), sensitivity, and specificity values of 0.924 (95% CI 0.871\u20130.977), 0.885, and 0.838 for the training set and 0.843 (95% CI 0.714\u20130.972), 0.727, and 0.857 for the independent test set. The clinical model alone and the imaging model achieved AUCs of 0.799 (95% CI 0.703\u20130.896) and 0.827 (95% CI 0.742\u20130.912) in the training set and 0.800 (95% CI 0.646\u20130.954) and 0.686 (95% CI 0.492\u20130.880) in the independent test set, respectively.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>Nomogram models based on drinking patterns and CT\/MRI characteristics can more accurately predict AAP recurrence. The model serves as an effective tool for clinical prediction of AAP and helps clinicians in developing personalized prevention and treatment strategies.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1111\/acer.70329","type":"journal-article","created":{"date-parts":[[2026,6,5]],"date-time":"2026-06-05T10:33:00Z","timestamp":1780655580000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Drinking Patterns and\n                    <scp>CT<\/scp>\n                    \/\n                    <scp>MRI<\/scp>\n                    Feature\u2010Based Nomogram Models Can More Accurately Predict Acute Alcoholic Pancreatitis Recurrence"],"prefix":"10.1111","volume":"50","author":[{"given":"Xin Yue","family":"Zhong","sequence":"first","affiliation":[{"name":"Medical Imaging Key Laboratory of Sichuan Province, Department of Radiology Affiliated Hospital of North Sichuan Medical College  Nanchong 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