AUTHOR=Zhu Lin , Wang Lijuan , Wu Yihan , Zhu Ming , Huang Xue , Ma Yan , Xu Dandan , Wang Sen , Yang Yuxing , Xu Xiaoting 

TITLE=A nomogram model to predict grade ≥2 acute radiation enteritis in older adult patients with cervical cancer

JOURNAL=Frontiers in Public Health

VOLUME=Volume 13 - 2025

YEAR=2025

URL=https://www.frontiersin.org/journals/public-health/articles/10.3389/fpubh.2025.1614073

DOI=10.3389/fpubh.2025.1614073

ISSN=2296-2565

ABSTRACT=IntroductionAcute Radiation Enteritis (ARE) is a common complication of pelvic radiotherapy, with incidence rates exceeding 60% in older adult populations. Especially, grade ≥2 ARE can lead to treatment interruptions, malnutrition, and even septic shock, thereby impairing patients’ quality of life and survival outcomes. However, existing risk prediction models are predominantly developed based on younger populations or mixed cohorts, lacking sophisticated evaluation tools tailored to older adult patients.MethodsTo establish a predictive nomogram for grade ≥2 ARE in older adult cervical cancer patients undergoing radiotherapy, a retrospective cohort study of 251 older adult cervical cancer patients who received pelvic radiotherapy between January 2018 and March 2024 was conducted. Independent risk factors identified through univariate and multivariate logistic regression were incorporated into a nomogram. The model performance was validated using receiver operating characteristic (ROC) curves, calibration plots, and decision curve analysis (DCA).ResultsThe incidence of grade ≥2 ARE in our cohort was 61.35%. Independent risk factors included age (OR = 1.881, 95%CI: 1.015–3.484), hypertension (OR = 4.577, 95%CI: 2.402–8.720), diabetes (OR = 5.503, 95%CI: 2.206–13.726), Dmean_R (OR = 1.309, 95%CI: 1.155–1.483), and lactate dehydrogenase-to-albumin ratio (LAR), (OR = 1.872, 95%CI: 1.381–2.538). The nomogram exhibited strong discriminative ability (0.825, 95% CI: 0.774–0.877), and excellent calibration (Hosmer–Lemeshow test, p = 0.744).ConclusionThis nomogram integrates both clinical and dosimetric parameters to enable precise risk stratification for grade ≥2 ARE in older adult cervical cancer patients, facilitating personalized prevention strategies and optimized treatment planning.