A risk-scoring model for predicting late postoperative hemorrhage following pancreatoduodenectomy: development and external validation - Summary - MDSpire

A risk-scoring model for predicting late postoperative hemorrhage following pancreatoduodenectomy: development and external validation

  • By

  • Shuai Xu

  • Qi Zhang

  • Liping Zang

  • Yuxiao Zhang

  • Jun Liu

  • Juan Zhang

  • Jianping Wang

  • July 6, 2026

  • 0 min

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Objective:

To develop and externally validate a clinically applicable risk-scoring model to predict late post-pancreatectomy hemorrhage (PPH) after pancreatoduodenectomy (PD).

Approach:
  • Patient Selection: Patients who underwent curative-intent PD were included, with a training cohort of 300 patients and an external validation cohort of 105 patients.
  • Model Development: The risk-scoring model was developed using multivariate logistic analysis to identify independent risk factors for late PPH.
  • Validation: The model's performance was validated in an external cohort, assessing its discriminative capacity by categorizing predicted probabilities into low-risk and high-risk groups.
Key Findings:
  • Late PPH occurred in 7.7% of the training cohort and 7.6% of the validation cohort.
  • Median survival was significantly lower in patients with late PPH (20.7 months) compared to those without (35.2 months, P = 0.009).
  • Independent risk factors for late PPH included BMI, preoperative total bilirubin, preoperative prothrombin time, and clinically relevant postoperative pancreatic fistula.
  • The predictive model demonstrated concordance indices of 0.863 in the training cohort and 0.825 in the validation cohort.
  • The most frequent site of hemorrhage was the common hepatic artery, accounting for 22.6% of cases.
Interpretation:

Limitations:
  • The study is retrospective and conducted at high-volume centers, which may limit generalizability.
  • The model requires further validation in diverse clinical settings.
Conclusion:

A simple risk-scoring model for late PPH after PD was developed and validated, facilitating risk prediction and potential preventive measures.

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