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The Role of Renal Pelvis Urine Attenuation Value in Forecasting Infection Risk After Mini-Percutaneous
Huseyin Burak Yazili1, Ufuk Caglar1, Ahmet Halis1
1Department of Urology, Haseki Training and Research Hospital, Istanbul, Turkey.
Preoperative renal pelvis urine density (RPUD) on CT scans reliably predicts infectious complications after percutaneous nephrolithotomy (PCNL). Higher RPUD indicates increased infection risk, aiding in patient management.
Area of Science:
- Urology
- Radiology
- Infectious Diseases
Background:
- Percutaneous nephrolithotomy (PCNL) is a common procedure for kidney stone removal.
- Infectious complications can arise post-PCNL, impacting patient outcomes.
- Predictive markers for these complications are crucial for optimizing patient care.
Purpose of the Study:
- To determine if preoperative renal pelvis urine density (RPUD), measured via computed tomography (CT), can predict infectious complications after PCNL.
- To assess the diagnostic accuracy and reliability of RPUD as a predictive marker.
Main Methods:
- Retrospective analysis of 226 patients undergoing PCNL with sterile preoperative urine cultures.
- Measurement of RPUD on noncontrast CT scans by two independent urologists.
- Comparison of variables between patients with and without postoperative infectious complications, using logistic regression and ROC analysis.
Main Results:
- Patients with postoperative infections exhibited significantly higher RPUD values (13.7 vs. 6.0 HU, P=.001) and longer operative times (70 vs. 50 min, P=.001).
- RPUD (OR: 1.238) and operative time (OR: 1.055) were identified as independent predictors of infection.
- An RPUD cutoff of 9.250 demonstrated 80.0% sensitivity and 80.1% specificity for predicting infection (AUC: 0.875).
- Excellent interobserver reliability for RPUD measurement was observed (ICC: 0.942).
Conclusions:
- Preoperative RPUD is a dependable, noninvasive radiological marker for predicting infectious complications following PCNL.
- Routine RPUD measurement can enhance preoperative risk stratification and perioperative management.
- Further validation in prospective, multicenter studies is recommended.
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