A preoperative predictive model-based scoring system for assessing postoperative bleeding after percutaneous liver...

Area of Science:

• Hepatology
• Medical Diagnostics
• Interventional Radiology

Background:

• Percutaneous liver biopsy (PLB) is crucial for diagnosing liver diseases.
• Postoperative bleeding is a significant complication, limiting PLB's clinical use.
• Accurate bleeding risk prediction is vital for enhancing PLB safety.

Purpose of the Study:

• To identify independent risk factors for postoperative bleeding after PLB.
• To develop and validate a preoperative bleeding risk scoring system.
• To improve the safety and clinical application of PLB.

Main Methods:

• Retrospective cohort analysis to identify risk factors using multivariate regression.
• Development of a preoperative bleeding risk scoring system based on identified factors.
• Prospective external validation of the model and scoring system for generalizability.

Main Results:

• Lesion type, portosystemic shunt (PSS), and total bilirubin were identified as independent risk factors.
• A predictive model incorporating lesion type, PSS, and total bilirubin was developed.
• The scoring system demonstrated good predictive performance (AUC 0.892-0.846) and external validation confirmed its generalizability.

Conclusions:

• The developed preoperative bleeding-prediction model and risk scoring system accurately predict postoperative bleeding after PLB.
• This tool can enhance PLB safety by optimizing preoperative assessment and postoperative management.
• The system is effective for diverse patient groups, supporting clinical decision-making.