{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T13:00:55Z","timestamp":1790859655330,"version":"4.1.0"},"reference-count":55,"publisher":"Oxford University Press (OUP)","license":[{"start":{"date-parts":[[2026,9,12]],"date-time":"2026-09-12T00:00:00Z","timestamp":1789171200000},"content-version":"am","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>Unplanned interruption of continuous renal replacement therapy (CRRT) is a frequent complication in critically ill burn patients that may compromise therapeutic efficacy and clinical outcomes, yet accurate risk identification remains challenging due to complex interactions among patient characteristics, coagulation status, and treatment parameters. In this retrospective cohort study of 666 critically ill burn patients undergoing CRRT (training cohort 2015-2023, n\u2009=\u2009560; temporal validation cohort 2024-2026, n\u2009=\u2009106), we identified 12 independently associated variables through multivariate logistic regression and systematically evaluated 47 machine learning algorithms, ultimately constructing a stacking ensemble model integrating bayesglm, fda, knn, and naive_bayes as base learners. In the temporal validation cohort, the ensemble model achieved an area under the receiver operating characteristic curve of 0.963, accuracy of 0.943, sensitivity of 1.000, specificity of 0.896, and a Kappa of 0.887, with satisfactory calibration and significant clinical net benefit across a wide range of threshold probabilities. Two-level Shapley Additive Explanations analysis identified blood flow rate, anticoagulation strategy, hematocrit, filtration fraction, and other CRRT-related parameters as substantial contributors to prediction. This interpretable ensemble model demonstrates robust discrimination, calibration, and clinical utility, and may support early nursing surveillance, individualized CRRT management, and preventive interventions to reduce unplanned interruptions in burn intensive care settings.<\/jats:p>","DOI":"10.1093\/jbcr\/irag163","type":"journal-article","created":{"date-parts":[[2026,9,11]],"date-time":"2026-09-11T11:46:22Z","timestamp":1789127182000},"source":"Crossref","is-referenced-by-count":0,"title":["Predicting Unplanned Continuous Renal Replacement Therapy Interruptions in Critically Ill Burn Patients Using Stacked Ensemble Machine Learning Framework"],"prefix":"10.1093","author":[{"given":"Tiantian","family":"Li","sequence":"first","affiliation":[{"name":"Department of Burns, Wuhan Third Hospital & Tongren Hospital of Wuhan University , Wuhan 430060 ,","place":["China"]},{"name":"Hubei Provincial Clinical Medical Research Center for Burns , Wuhan 430060 ,","place":["China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hu","family":"Liu","sequence":"additional","affiliation":[{"name":"Department of Burns, Wuhan Third Hospital & Tongren Hospital of Wuhan University , Wuhan 430060 ,","place":["China"]},{"name":"Hubei Provincial Clinical Medical Research Center for Burns , Wuhan 430060 ,","place":["China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhigang","family":"Chu","sequence":"additional","affiliation":[{"name":"Department of Burns, Wuhan Third Hospital & Tongren Hospital of Wuhan University , Wuhan 430060 ,","place":["China"]},{"name":"Hubei Provincial Clinical Medical Research Center for Burns , Wuhan 430060 ,","place":["China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Maomao","family":"Xi","sequence":"additional","affiliation":[{"name":"Department of Burns, Wuhan Third Hospital & Tongren Hospital of Wuhan University , Wuhan 430060 ,","place":["China"]},{"name":"Hubei Provincial Clinical Medical Research Center for Burns , Wuhan 430060 ,","place":["China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Feng","family":"Li","sequence":"additional","affiliation":[{"name":"Department of Burns, Wuhan Third Hospital & Tongren Hospital of Wuhan University , Wuhan 430060 ,","place":["China"]},{"name":"Hubei Provincial Clinical Medical Research Center for Burns , Wuhan 430060 ,","place":["China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hong","family":"Wu","sequence":"additional","affiliation":[{"name":"Department of Burns, Wuhan Third Hospital & Tongren Hospital of Wuhan University , Wuhan 430060 ,","place":["China"]},{"name":"Hubei Provincial Clinical Medical Research Center for Burns , Wuhan 430060 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