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The whole dataset was used to develop the predictive nomogram and used a stepwise algorithm to screen variables. The stepwise algorithm was based on Akaike\u2019s information criterion (AIC). Multivariable logistic regression analysis was used to develop the nomogram. The receiver operating characteristic (ROC) curve was used to evaluate the model\u2019s discrimination ability. The Hosmer\u2013Lemeshow (HL) test was performed to check if the model was well calibrated. Decision curve analysis (DCA) was performed to measure the nomogram\u2019s clinical usefulness and net benefits. <jats:italic>P<\/jats:italic>\u2009&lt;\u20090.05 was considered to indicate statistical significance.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Results<\/jats:title>\n                <jats:p>The sample included 529 subjects who had undergone thoracic surgery. Fentanyl use, gender, the difference between mean arterial pressure at admission and before the operation, operation type, total amount of fluids and blood products transfused, blood loss, vasopressor, and cisatracurium use were identified as predictors and incorporated into the nomogram. The nomogram showed good discrimination ability on the receiver operating characteristic curve (0.6937) and is well calibrated using the Hosmer\u2013Lemeshow test. Decision curve analysis demonstrated that the nomogram was clinically useful.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Conclusions<\/jats:title>\n                <jats:p>Individualized and precise prediction of intraoperative polyuria allows for better anesthesia management and early prevention optimization.<\/jats:p>\n              <\/jats:sec>","DOI":"10.1186\/s13019-024-02833-5","type":"journal-article","created":{"date-parts":[[2024,7,3]],"date-time":"2024-07-03T04:38:37Z","timestamp":1719981517000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Establishment and validation of a predictive nomogram for polyuria during general anesthesia in thoracic surgery"],"prefix":"10.1186","volume":"19","author":[{"given":"Jiajie","family":"Li","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zongwang","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,7,3]]},"reference":[{"key":"2833_CR1","doi-asserted-by":"publisher","first-page":"1052","DOI":"10.1001\/jama.2020.0592","volume":"323","author":"M Wijnberge","year":"2020","unstructured":"Wijnberge M, Geerts BF, Hol L, Lemmers N, Mulder MP, Berge P, et al. 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