Predicting postoperative fever in culture-negative patients undergoing mini-PCNL using MAP score-augmented machine learning: a retrospective cohort study.

ABSTRACT:

Purpose

Postoperative fever is a common complication following percutaneous nephrolithotomy (PCNL) that occurs even in patients with sterile urine cultures. Traditional risk-assessment tools are insufficient in this subset of patients. This study aims to develop a risk prediction model for detecting postoperative fever in patients with sterile preoperative urine cultures by integrating the Mayo Adhesive Probability (MAP) score with machine learning (ML) techniques.

Methods

This retrospective cohort study included 730 patients with sterile urine cultures who underwent mini-percutaneous nephrolithotomy (mini-PCNL) at Taizhou Hospital from March 2022 to March 2025. The least absolute shrinkage and selection operator (LASSO) regression was employed to identify key variables. Ten

SUBMITTER: Xu R 

PROVIDER: S-EPMC12464075 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature