Tianjin Medical Journal ›› 2026, Vol. 54 ›› Issue (5): 484-488.doi: 10.11958/20252863

• Clinical Research • Previous Articles     Next Articles

Influencing factors and risk prediction model of enteral nutrition intolerance in postoperative colorectal cancer patients

PENG Jing1(), YU Xiaoqian2△()   

  1. 1 Department of Gastrointestinal Surgery, the Fourth Affiliated Hospital of Nanjing Medical University, Nanjing 210009, China
    2 Department of Radiotherapy, the Fourth Affiliated Hospital of Nanjing Medical University, Nanjing 210009, China
  • Received:2025-09-05 Revised:2026-03-03 Published:2026-05-15 Online:2026-05-13
  • Contact: E-mail:372496859@qq.com

Abstract:

Objective To analyze the influencing factors of enteral nutrition feeding intolerance (EFI) in patients after colorectal cancer surgery and construct a predictive model. Methods A total of 392 patients who underwent colorectal cancer surgery were selected and divided into the modeling group (274 cases) and the validation group (118 cases) at a ratio of 7∶3. The modeling group was further divided into the EFI group (88 cases) and the normal group (186 cases) based on whether EFI occurred after surgery. Basic patient information, drug use, nutritional status and the first postoperative laboratory indicators (serum albumin, hemoglobin and white blood cell count) were collected. Logistic regression was used to analyze the influencing factors of EFI in patients after colorectal cancer surgery, and a risk prediction scoring model was established. The discrimination of the model was evaluated by the receiver operating characteristic (ROC) curve, and the calibration of the model was evaluated by the calibration curve. Results The age, comorbidity index, white blood cell count, use of analgesic drugs, malnutrition and the proportion of patients with serum albumin < 35 g/L in the EFI group were all higher than those in the normal group. Moreover, there were statistically significant differences in tumor type and tumor stage between the two groups (P<0.01). Multivariate Logistic regression analysis revealed that age≥70 years, Charlson comorbidity index ≥2, ulcerative/infiltrative tumor type, tumor stage Ⅲ-Ⅳ, use of analgesic drugs, malnutrition, serum albumin <35 g/L and white blood cell count > 10×109/L were risk factors for EFI after colorectal cancer surgery. The area under the ROC curve of the validation group was 0.834 (95%CI: 0.756 - 0.920), with a sensitivity of 92.2% and a specificity of 76.4%. The calibration curve of the validation group was close to the reference curve, suggesting that this model has a very good predictive effect. Conclusion The constructed EFI warning model for patients after colorectal cancer surgery can help identify high-risk patients for feeding intolerance in clinical practice and provide a reference for the timely implementation of preventive strategies and reduction of the risk of nutritional intolerance.

Key words: colorectal neoplasms, enteral nutrition, nomogram, feeding intolerance, prediction modeling

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