ORIGINAL RESEARCH article
Front. Nutr.
Sec. Nutrition Methodology
Nutritional and inflammatory markers for predicting delirium after radical hysterectomy for cervical cancer: development of a nomogram
Provisionally accepted
- The Affiliated Taizhou People's Hospital of Nanjing Medical University, Taizhou, China
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Background: 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. Methods: 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 (P < 0.1), followed by multivariate logistic regression (P < 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. Results: The POD incidence reached 16.2% (n=41) during the 7-day postoperative surveillance. Multivariable analysis delineated five independent predictors: advanced age (OR = 1.12, P = 0.031), depressed albumin-fibrinogen ratio (AFR) (OR = 0.69, P = 0.029), elevated neutrophil-lymphocyte ratio (NLR) (OR = 3.51, P = 0.001), Controlling Nutritional Status (CONUT) score (OR = 1.81, P = 0.003), and Geriatric Nutritional Risk Index (GNRI) (OR = 0.94, P = 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. Conclusions: 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.
Keywords: cervical cancer, postoperative delirium, risk factor, Nutritional score, Nomogram model
Received: 23 Jun 2025; Accepted: 24 Oct 2025.
Copyright: © 2025 Zhu, Xiang, Xing, Li, Xie and Jiang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Lin Jiang, jianglintg@163.com
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