Construction of an alignment diagram model for predicting calculous obstructive pyonephrosis before PNL

Area of Science:

• Nephrology
• Urology
• Medical Diagnostics

Background:

• Calculous obstructive pyonephrosis poses a risk during percutaneous nephrolithotomy (PNL).
• Accurate pre-procedural prediction is crucial for timely intervention.

Purpose of the Study:

• To develop a predictive model for calculous obstructive pyonephrosis before PNL.
• To guide early drainage strategies for pyonephrosis.

Main Methods:

• Comparative analysis of clinical indicators in pyonephrosis vs. non-pyonephrosis groups.
• Identification of independent risk factors using multivariate regression.
• Development of a diagnostic alignment diagram model.

Main Results:

• Key predictors identified: preoperative blood neutrophil count, serum creatinine, serum albumin, urine nitrite, hydronephrosis density, and fever history.
• The model demonstrated high accuracy (AUC 0.929) with strong consistency and clinical efficacy.

Conclusions:

• The developed alignment diagram model accurately predicts preoperative calculous obstructive pyonephrosis.
• Provides evidence for early renal microchannel nephrostomy in affected patients.