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An R-Based Landscape Validation of a Competing Risk Model
Published on: September 16, 2022
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[Predicting model based on risk factors for urosepsis after percutaneous nephrolithotomy]
1Department of Urology, Peking University Third Hospital, Beijing 100191, China.
Summary
Postoperative urosepsis after percutaneous nephrolithotomy (PCNL) is predicted by factors including diabetes, stone burden, operation time, irrigation rate, and stone composition. A new nomogram helps assess individual patient risk for this complication.
Area of Science:
- Urology
- Nephrology
- Infectious Diseases
Background:
- Urosepsis is a serious complication following percutaneous nephrolithotomy (PCNL).
- Identifying perioperative risk factors is crucial for preventing and managing urosepsis after PCNL for upper urinary tract calculi.
Purpose of the Study:
- To identify independent perioperative risk factors for urosepsis after PCNL.
- To develop a predictive nomogram for postoperative urosepsis risk following PCNL.
Main Methods:
- Retrospective analysis of 405 patients undergoing PCNL for upper urinary tract calculi.
- Logistic regression analysis to identify independent risk factors for urosepsis.
- Development of a nomogram based on identified risk factors.
Main Results:
- The incidence of urosepsis after PCNL was 7.9%.
- Independent risk factors for urosepsis included diabetes mellitus history, larger stone burden, longer operation time, increased irrigation rate, and infectious stone composition.
- The developed nomogram demonstrated good predictive accuracy (C-index 0.834 in model sample, 0.802 in validation sample).
Conclusions:
- Diabetes, stone burden, operation duration, irrigation rate, and stone composition are significant risk factors for urosepsis post-PCNL.
- The developed nomogram provides a valuable tool for predicting urosepsis risk in patients undergoing PCNL.
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