{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,20]],"date-time":"2026-10-20T16:01:15Z","timestamp":1792512075590,"version":"4.5.0"},"reference-count":28,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2025,11,17]],"date-time":"2025-11-17T00:00:00Z","timestamp":1763337600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Nutr."],"abstract":"\n Background<\/jats:title>\n This investigation aimed to establish pivotal determinants of postoperative delirium (POD) following radical hysterectomy for cervical carcinoma (CC) and formulate an individualized risk stratification tool.<\/jats:p>\n <\/jats:sec>\n \n Methods<\/jats:title>\n \n We conducted a retrospective cohort study encompassing 253 geriatric patients undergoing radical hysterectomy for CC between 2021 and 2025. We systematically evaluated potential predictors using a two-phase regression model: first through univariate analysis (\n P<\/jats:italic>\n &lt; 0.1), followed by multivariate logistic regression (\n P<\/jats:italic>\n &lt; 0.05) to identify independent predictors of POD. Key clinical, demographic, and laboratory variables were included in the analysis. The incidence of POD was assessed using the Confusion Assessment Method (CAM) during the 7-day perioperative period. The predictive nomogram was developed using R and was rigorously validated through both internal cohort validation and external validation. ROC, calibration, and decision curve analyses were used to assess the nomogram's predictive performance.\n <\/jats:p>\n <\/jats:sec>\n \n Results<\/jats:title>\n \n The POD incidence reached 16.2% (\n n<\/jats:italic>\n = 41) during the 7-day postoperative surveillance. Multivariable analysis delineated five independent predictors: advanced age (OR = 1.12,\n P<\/jats:italic>\n = 0.031), depressed albumin-fibrinogen ratio (AFR; OR = 0.69,\n P<\/jats:italic>\n = 0.029), elevated neutrophil-lymphocyte ratio (NLR; OR = 3.51,\n P<\/jats:italic>\n = 0.001), Controlling Nutritional Status (CONUT) score (OR = 1.81,\n P<\/jats:italic>\n = 0.003), and Geriatric Nutritional Risk Index (GNRI; OR = 0.94,\n P<\/jats:italic>\n = 0.001). The constructed nomogram exhibited robust discriminative capacity, achieving area under curve (AUC) values of 0.821 and 0.966 in internal and external validations, respectively.\n <\/jats:p>\n <\/jats:sec>\n \n Conclusions<\/jats:title>\n This research introduced an effective nomogram prediction model for predicting POD after radical hysterectomy for CC, providing a straightforward and visual method for individualized risk assessment.<\/jats:p>\n <\/jats:sec>","DOI":"10.3389\/fnut.2025.1644157","type":"journal-article","created":{"date-parts":[[2025,11,17]],"date-time":"2025-11-17T15:43:07Z","timestamp":1763394187000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":2,"title":["Nutritional and inflammatory markers for predicting delirium after radical hysterectomy for cervical cancer: development of a 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