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Updated: Jan 26, 2026

Establishing a Competing Risk Regression Nomogram Model for Survival Data
Published on: October 23, 2020
Nomogram for predicting postoperative pancreatic fistula
Yunghun You1, In W Han2, Dong W Choi2
1Department of Surgery, Konkuk University Choongju Hospital, Konkuk University School of Medicine, 6, Gwangmyeong 1-gil, Chungju-si, Chungcheongbuk-do, 27376, South Korea.
Insights
A new nomogram predicts postoperative pancreatic fistula (POPF) risk after pancreaticoduodenectomy. This tool identifies individual risk factors, aiding personalized treatment strategies for patients undergoing this major surgery.
Area of Science:
- Oncology
- Gastroenterology
- Surgical Research
Background:
- Previous risk prediction tools for postoperative pancreatic fistula (POPF) used scoring systems.
- No prior study developed a nomogram based on individual risk factors for POPF.
Purpose of the Study:
- To evaluate individual risk factors for POPF.
- To propose a nomogram for predicting POPF after pancreaticoduodenectomy.
Main Methods:
- Retrospective review of 1771 patients undergoing pancreaticoduodenectomy (2007-2016).
- Multivariate logistic regression identified independent predictors (p < 0.05).
- Internal validation used repeated cross-validation.
Main Results:
- Postoperative pancreatic fistula (POPF) occurred in 12.5% of patients (222/1771).
- Independent predictors included sex, BMI, ASA score, preoperative albumin, pancreatic duct diameter, and tumor location.
- The developed nomogram showed an AUC of 0.709 (train) and 0.652 (test).
Conclusions:
- A novel nomogram for POPF prediction was successfully developed.
- This tool can assist in identifying high-risk patients for intensified therapy.
- The nomogram supports the establishment of customized treatment strategies.
Background:
Previous studies analyzed risk factors for postoperative pancreatic fistula (POPF) and developed risk prediction tool using scoring system. However, no study has built a nomogram based on individual risk factors. This study aimed to evaluate individual risks of POPF and propose a nomogram for predicting POPF.
Methods:
From 2007 to 2016, medical records of 1771 patients undergoing pancreaticoduodenctomy were reviewed retrospectively. Variables with p < 0.05 in multivariate logistic regression analysis were included in the nomogram. Internal performance validation was executed using a repeated cross validation method.
Results:
Of 1771 patients, 222 (12.5%) experienced POPF. In multivariable analysis, sex (p = 0.004), body mass index (BMI) (p < 0.001), ASA score (p = 0.039), preoperative albumin (p = 0.035), pancreatic duct diameter (p = 0.002), and location of tumor (p < 0.001) were identified as independent predictors for POPF. Based on these six variables, a POPF nomogram was developed. The area under the curve (AUC) estimated from the receiver operating characteristic (ROC) graph was 0.709 in the train set and 0.652 in the test set.
Conclusions:
A POPF nomogram was developed. This nomogram may be useful for selecting patients who need more intensified therapy and establishing customized treatment strategy.
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