ArticlePerioperative medicine (London, England)2026
Development and validation of a post-operative delirium prediction model for patients undergoing abdominal surgery: a retrospective, observational, single-center study.
Article in Perioperative medicine (London, England), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
backgroundPostoperative delirium (POD) is a common complication following major surgery in elderly. The purpose of this study was to develop and evaluate a POD prediction model for patients undergoing abdominal surgery.
methodsOne thousand consecutive patients scheduled for elective abdominal surgery from July 2019 to March 2021 in Ruijin Hospital, Shanghai China, were retrospectively analysed, and their demographics, pre-operative evaluation, and intra-operative parameters were collected and cross-analysed. The primary outcome was the POD incidence. A prediction model of POD was established and internal validation was conducted with various analyses including univariate and multivariate regression. Data from another cohort of346 patients enrolled from July 2021 to December 2021 were used for model external validation.
resultsAfter screening, 838 patients were included as the training cohort and 10.9% (91/838) of the patients manifested POD. Old age, cerebrovascular disease and diazepam use history and intraoperative fluid imbalance were the main contributors of the POD prediction model. The optimum cut-off point of the predicted probability that maximised the sum of sensitivity and specificity was 0.12. The fitting set AUC was 0.703 (95% Confidence interval (CI) 0.637-0.753). The sensitivity and specificity of the model were 0.556 and 0.754 respectively. The mean AUC during the cross and external validation of the model was 0.684 [Standard Deviation (SD) 0.068] and 0.634 (95%CI 0.511-0.758) respectively.
conclusionsOur data indicated that improving perioperative management may reduce POD incidence in patients who are old age and have cerebrovascular disease history.
trial registrationThe retrospective data (ChiCTR2100047405) of this study was registered in the Chinese Clinical Trial registry ( https://www.chictr.org.cn/ ).
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