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Thus, this study aimed to identify risk factors for PPOI in patients with CRC who underwent minimally invasive surgery (MICRS) and to develop a practical nomogram for predicting individual PPOI risk.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Methods<\/jats:title>\n                <jats:p>A consecutive series of 2368 patients who underwent MICRS between 2013 and 2023 at two tertiary academic centers were retrospectively studied. Using the data from 1895 patients in the training cohort, a multivariable logistic regression model was employed to select significant variables for the construction of a best-fit nomogram. The nomogram was internally and externally validated.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Results<\/jats:title>\n                <jats:p>PPOI occurred in 9.5% of patients. Six independent risk factors were identified to construct a nomogram: advanced age (OR 1.055, <jats:italic>P<\/jats:italic>\u2009=\u20090.002), male sex (OR 2.914, <jats:italic>P<\/jats:italic>\u2009=\u20090.011), age-adjusted Charlson comorbidity index\u2009\u2265\u20096 (OR 2.643, <jats:italic>P<\/jats:italic>\u2009=\u20090.025), preoperative sarcopenia (OR 0.857, <jats:italic>P<\/jats:italic>\u2009=\u20090.02), preoperative prognostic nutritional index (OR 2.206, <jats:italic>P<\/jats:italic>\u2009=\u20090.047), and intraoperative fluid overload (OR 2.227, <jats:italic>P<\/jats:italic>\u2009=\u20090.045). The AUCs of the model for predicting PPOI in the training and external validation cohorts were 0.887 and 0.838, respectively. The calibration curves demonstrated excellent consistency between the nomogram-predicted and observed probabilities in both cohorts. Individuals with a total nomogram score of\u2009&lt;\u2009197 or\u2009\u2265\u2009197 were considered to be at low or high risk for PPOI, respectively.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Conclusions<\/jats:title>\n                <jats:p>The integrated nomogram we developed could provide personalized risk prediction of PPOI after MICRS. This quantification enables surgeons to implement personalized prevention strategies, thereby improving patient outcomes.<\/jats:p>\n              <\/jats:sec>","DOI":"10.1007\/s00384-024-04693-w","type":"journal-article","created":{"date-parts":[[2024,7,23]],"date-time":"2024-07-23T05:01:50Z","timestamp":1721710910000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Personalized risk prediction for prolonged ileus after minimally invasive colorectal cancer surgery: in-depth risk factor analysis and model development"],"prefix":"10.1007","volume":"39","author":[{"given":"Wenchao","family":"Xiu","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yalin","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yifan","family":"Man","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zongping","family":"Yu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dawei","family":"Ren","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2024,7,23]]},"reference":[{"issue":"7","key":"4693_CR1","doi-asserted-by":"publisher","first-page":"797","DOI":"10.1002\/bjs.10781","volume":"105","author":"SJ Chapman","year":"2018","unstructured":"Chapman SJ, Pericleous A, Downey C et al (2018) Postoperative ileus following major colorectal surgery. 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