Development and validation of a nomogram for predicting refractory peritoneal dialysis related peritonitis
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Summary
This summary is machine-generated.This study identified key risk factors for refractory peritoneal dialysis-related peritonitis (PDRP) and developed a nomogram to predict its occurrence. The nomogram demonstrates good accuracy in predicting PDRP in patients undergoing peritoneal dialysis (PD).
Area Of Science
- Nephrology
- Clinical Epidemiology
- Medical Statistics
Background
- Peritonitis is a common complication of peritoneal dialysis (PD).
- Refractory peritonitis, defined by persistent cloudy effluent or high leukocyte counts after 5 days of antibiotics, poses a significant challenge in PD management.
- Identifying risk factors and developing predictive tools for refractory peritonitis are crucial for improving patient outcomes.
Purpose Of The Study
- To identify risk factors associated with refractory peritoneal dialysis-related peritonitis (PDRP).
- To construct and validate a nomogram for predicting the occurrence of refractory PDRP in PD patients.
Main Methods
- A dataset of 294 peritonitis episodes in 178 PD patients was analyzed.
- Risk factors were identified using univariate and LASSO logistic regression, and random forest algorithms.
- A nomogram was constructed using independent risk factors and validated for discriminative and calibration abilities.
Main Results
- Refractory peritonitis occurred in 93 episodes.
- Independent risk factors for PDRP included C-reactive protein, serum albumin, diabetes mellitus, PD duration, and causative organisms.
- The nomogram showed excellent discrimination (AUC 0.781 in training, 0.741 in validation) and satisfactory calibration.
Conclusions
- The developed nomogram accurately predicts refractory peritonitis in patients undergoing PD.
- This predictive tool can aid clinicians in managing PD-related peritonitis and potentially prevent refractory cases.

