Background: Radiation-induced proctitis is a frequent adverse effect that negatively impacts the quality of life in rectal cancer patients receiving neoadjuvant chemoradiotherapy (nCRT). Identifying high-risk factors and predicting their occurrence are crucial for preventing acute radiation proctitis (ARP). This study aimed to identify potential risk factors and develop a nomogram to predict the risk of ARP.
Methods: A total of 561 locally advanced rectal cancer (LARC) patients from January 1, 2019, to December 31, 2021, were collected. Patients were randomly allocated to the training and validation cohorts in a 7:3 ratio. Univariate and multivariate logistic regression analyses were conducted to determine potential predictive factors. A nomogram was created using predictive factors for ARP. The model's performance was assessed using the area under the receiver operating characteristic curve (AUC), calibration curves, and decision curve analysis (DCA).
Results: Among 561 patients, 131 were diagnosed with ARP. Multivariable analysis identified Body Mass Index (BMI), tumor volume (TV), and Prognostic Nutritional Index (PNI) as independent predictors for ARP. Their odds ratios (OR) and 95% confidence intervals (95% CI) were as follows: BMI (0.394, 0.230-0.675, P < 0.001), TV (2.242, 1.366-3.680, P=0.001), and PNI (0.470, 0.279-0.790, P=0.004). The nomogram showed strong discrimination, demonstrating, with an AUC of 0.689 (95% CI: 0.629-0.749) in the training cohort and 0.725 (95% CI: 0.636-0.815) in the validation cohort. Calibration curves and DCA further validated the nomogram's excellent consistency and clinical utility.
Conclusion: Lower BMI, PNI, and higher TV were independent predictors for ARP in LARC patients receiving nCRT.
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