Nomogram effective for Early detection of peritoneal dialysis-associated peritonitis, reveals study

To determine risk factors, researchers utilized Least Absolute Shrinkage and Selection Operator (LASSO) regression, followed by multivariate logistic regression analysis. A nomogram was built based on the variables identified using R software (version 4.1.3) for visual prediction of the likelihood of developing PDAP.

Model performance was assessed using a wide range of tools:

• Receiver Operating Characteristic (ROC) curves

• Hosmer-Lemeshow goodness-of-fit test

• Decision Curve Analysis (DCA)

• Clinical Impact Curves (CICs)

Key Findings

Eight predictors were identified by LASSO regression as the most important predictors. Multivariate logistic regression also found that the following independent factors were associated with higher PDAP risk (P = 0.001):

• Age

• Duration of dialysis

• Albumin

• Hemoglobin

• β2-microglobulin

• Potassium

• Lymphocyte count

The nomogram's predictive ability was found to be excellent:

• The area under the curve (AUC) was 0.929 in the training set (95% CI: 0.896–0.962)

• The AUC was 0.905 in the validation set (95% CI: 0.855–0.955)

• The Hosmer-Lemeshow test revealed good model calibration:

• Training set χ² = 13.181, P = 0.106

• Validation set χ² = 8.264, P = 0.408

Decision Curve Analysis (DCA) and Clinical Impact Curves (CICs) established that the model yielded true clinical benefit over a broad spectrum of risk thresholds. That is, the nomogram could potentially be utilized to inform clinical decisions about monitoring and prophylactic measures.

This research successfully established and validated a nomogram that shows great accuracy and clinical use in the prediction of peritoneal dialysis-associated peritonitis risk. The instrument provides significant assistance in the early risk evaluation and specific intervention in PD patients.

Reference:

Wang, Y., Wu, Z., Huang, L. et al. A nomogram for predicting the risk of peritoneal dialysis-associated peritonitis in patients with end-stage renal disease undergoing peritoneal dialysis: model development and validation study. BMC Nephrol 26, 248 (2025). https://doi.org/10.1186/s12882-025-04165-5