Individualized Risk Prediction of Medical Postoperative Complications After Oncologic Hepatectomy: A Nomogram-Based...

Area of Science:

• Hepatobiliary Surgery
• Surgical Oncology
• Gastroenterology

Background:

• Liver resection is a key curative treatment for liver cancer.
• Surgical complications have decreased, but medical complications remain a concern.
• This study investigates medical vs. surgical complications after liver resection.

Purpose of the Study:

• To assess the incidence, nature, and predictors of medical and surgical complications.
• To develop a risk calculator for predicting medical morbidity after liver resection.

Main Methods:

• Observational single-center study (2013-2025) of liver resection patients.
• Complications classified as medical or surgical.
• Multivariate logistic regression identified risk factors; a nomogram was developed.

Main Results:

• 36/231 patients (15.6%) had complications.
• Medical complication predictors: cirrhosis, operative time >180 min, blood loss >500 mL, ASA score ≥3.
• Major hepatic resection predicted surgical complications.

Conclusions:

• Medical complications are linked to specific patient and operative factors.
• A risk model and nomogram can aid in preoperative counseling and risk stratification.
• Further validation in larger cohorts is recommended.