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Nutritional and Inflammatory Biomarkers Predict Postoperative Infectious Complications After Percutaneous
Lichun Duan1, Shuang Ai2, Xiaomin Yang3
1Department of Dietary, Chinese People's Liberation Army 964 Hospital, 130062 Changchun, Jilin, China.
Archivos Espanoles De Urologia
|May 9, 2026
Summary
A new model using pre-operative nutritional and inflammatory markers can predict infectious complications after percutaneous nephrolithotomy (PCNL). This tool aids in early risk assessment for patients undergoing PCNL surgery.
Area of Science:
- Urology
- Surgical Oncology
- Biomarker Research
Background:
- Percutaneous nephrolithotomy (PCNL) is a standard treatment for kidney stones.
- Infectious complications post-PCNL can negatively impact patient outcomes.
Purpose of the Study:
- To develop a predictive model for infectious complications after PCNL.
- The model will utilize pre-operative nutritional and inflammatory biomarkers.
Main Methods:
- Collected data from 529 PCNL patients (Jan 2022-Dec 2024).
- Assessed nutritional (Prealbumin, Hemoglobin, Prognostic Nutritional Index) and inflammatory biomarkers (CRP, PCT, WBC, NLR, PLR, SII).
- Used multivariable logistic regression and ROC curves to build and validate the predictive model.
Main Results:
- 10.21% of patients experienced infectious complications.
- Prognostic Nutritional Index (PNI), Platelet-to-Lymphocyte Ratio (PLR), Neutrophil-to-Lymphocyte Ratio (NLR), and Systemic Immune-Inflammation Index (SII) were independent predictors.
- The combined model showed high accuracy (AUC = 0.871).
Conclusions:
- A pre-operative model integrating PNI, PLR, NLR, and SII can effectively stratify PCNL patients by risk of infection.
- This model allows for early risk assessment and personalized interventions to improve patient prognosis.
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