Related Experiment Video
Updated: Jun 19, 2026
Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery
Published on: September 27, 2024
Preoperative nomogram to predict risk of perioperative mortality following pancreatic resections for malignancy
Chandrakanth Are1, Chantal Afuh, Lavanya Ravipati
1Division of Surgical Oncology, Department of Surgery, Eppley Cancer Center, University of Nebraska Medical Centre, Omaha, NE, USA. care@unmc.edu
Introduction:
The majority of pancreatic resections for malignancy are performed in older patients with major comorbidities. The aim of this study was to develop a preoperative nomogram based on the presence of comorbidities to predict risk of perioperative mortality.
Materials And Methods:
The National Inpatient Sample database was queried to identify patients that underwent pancreatectomy for malignancy. The preoperative comorbidities identified as predictors were used, and a nomogram was created. Sample A (2000-2004) was utilized to develop the model, and sample B (2005) was utilized to validate this model.
Results:
The overall actual observed perioperative mortality rate for samples A and B was 6.3% and 5.2%, respectively. The mean total points calculated for sample A by the nomogram was 131.7 that translates to a nomogram-predicted mortality rate of 4.9%, which is similar to the actual mortality. The mean total points for sample B was 128.1, which translates to a nomogram-predicted mortality rate of 4.6%. The similarity of mortality rates as predicted by the nomogram and a concordance index of 0.76 shows good agreement between the data and the nomogram.
Conclusion:
This preoperative nomogram has been shown to accurately predict the risk of perioperative mortality following pancreatectomy for malignancy.