The SII-PNI score: A novel composite biomarker for personalized mortality risk prediction in peritoneal dialysis patients
Open Access
- 5 December 2025
- journal article
- research article
- Published by Public Library of Science (PLoS) in PLOS ONE
- Vol. 20 (12) , e0338086
Abstract
Objective: Accurate risk stratification is crucial for personalized management in peritoneal dialysis (PD). This study aimed to develop and validate a novel biomarker, the SII-PNI score, integrating systemic immunoinflammatory index (SII) and prognostic nutritional index (PNI), for personalized mortality risk prediction in PD patients. Methods: A retrospective cohort study analyzed data from 330 patients initiating PD between December 2005 and June 2023 at a single center. Patients were stratified into four risk groups based on median cut-off values for SII and PNI. The association between SII-PNI risk groups and mortality (all-cause, cardiovascular [CVD], infection-related) was assessed using Kaplan-Meier survival analysis and multivariable Cox proportional hazard models. The predictive performance of the SII-PNI score was evaluated using receiver-operating characteristic (ROC) curves and compared to individual components (SII, PNI) and CRP. Random survival forests assessed variable importance. Results: The high-risk group (G4: high SII + low PNI) had the shortest PD duration, highest mortality, and worst survival outcomes. Compared to the low-risk group (G3: low SII + high PNI), G4 had significantly increased risks of all-cause mortality (adjusted HR 3.36, 95% CI 1.93–8.67), CVD mortality (adjusted HR 3.74, 95% CI 2.41–19.60), and infection mortality (adjusted HR 4.32, 95% CI 2.58–20.4) in fully adjusted models. The SII-PNI score demonstrated superior predictive ability (AUC: all-cause 0.80, CVD 0.80, infection 0.81) compared to SII, PNI, or CRP alone. Random survival forests confirmed the critical importance of the individual components (platelets, neutrophils, lymphocytes, albumin) for outcomes. Conclusions: The SII-PNI score, derived from readily available blood parameters, is a powerful and convenient tool for personalized risk stratification in PD. Patients identified as high-risk warrant intensified monitoring and early interventions. This composite biomarker represents a significant step towards personalized and precision medicine in PD care, with potential for implementation in routine clinical practice using standard laboratory data.Keywords
Funding Information
- Huai'an Municipal Health Commission Research Project (HAWJ2024006)
This publication has 27 references indexed in Scilit:
- The impact of the triglyceride-glucose index on the deterioration of kidney function in patients with cardiovascular-kidney-metabolic syndrome: insight from a large cohort study in ChinaRenal Failure, 2025
- The relationship of platelet distribution width with all-cause and cardiovascular mortality in peritoneal dialysis patientsRenal Failure, 2024
- Association of albumin to non-high-density lipoprotein cholesterol ratio with mortality in peritoneal dialysis patientsRenal Failure, 2024
- The systemic inflammation indexes predict all-cause mortality in peritoneal dialysis patientsRenal Failure, 2023
- Elevated fibrinogen to pre‐albumin ratio predicts mortality in peritoneal dialysis patientsSeminars in Dialysis, 2023
- Significance of preoperative evaluation of skeletal muscle index and immune-nutritional status for patients with early-stage non-small cell lung cancerGeneral Thoracic and Cardiovascular Surgery, 2022
- Predictive Value of Objective Nutritional Indexes in Technique Failure in Peritoneal Dialysis PatientsJournal of Renal Nutrition, 2022
- Evaluation of objective nutritional indexes as predictors of worse outcomes in peritoneal dialysis patientsNutrition, 2020
- Inflammation-Related Mechanisms in Chronic Kidney Disease Prediction, Progression, and OutcomeJournal of Immunology Research, 2018
- Nutrition in patients on peritoneal dialysisNature Reviews Nephrology, 2012