A retrospective cohort study on the association between RAR and mortality in peritoneal Dialysis patients

Inflammation and malnutrition collectively constitute the dual challenge that predominantly shapes the prognosis of peritoneal dialysis (PD) patients. As a composite biomarker, the red cell distribution width-to-albumin ratio (RAR) integrates these two pathological dimensions into a single numerical value. Although RAR has demonstrated superior prognostic value across multiple diseases, the association with mortality in the PD population remains unexplored. This single-institution retrospective cohort investigation enrolled 394 individuals initiating peritoneal dialysis from January 2015 to December 2022 at Shaoxing People’s Hospital and followed them until May 2025. The optimal RAR cutoff for predicting mortality was established via ROC curve analysis, with discriminative performance evaluated based on the AUC value. Kaplan-Meier survival curves were plotted to compare survival rates between groups, with differences assessed using the log-rank test. Hazard ratios (HR) were calculated after adjusting for potential confounders via multivariate Cox proportional hazards regression models, supplemented by subgroup analyses and interaction analyses. Over the study period, 97 patients (24.6%) died. ROC analysis established 4.619 as the optimal RAR cutoff for mortality prediction, demonstrating significant discriminatory value with an AUC of 0.819 (P < 0.001). Compared with the C-reactive protein-to-albumin ratio and the prognostic nutritional index, RAR showed a better prognostic ability. When applying the cutoff of 4.619, patients with high RAR exhibited significantly worse survival (log-rank P < 0.001). The adjusted hazard ratio for all-cause mortality associated with high RAR was 2.498 (95% CI 1.887–3.306; P < 0.001), confirming a stable and significant association after controlling for multiple covariates. This association showed no significant heterogeneity across subgroups defined by different clinical characteristics, confirming the robustness of the finding. Based on its significant association with all-cause mortality in peritoneal dialysis patients, RAR demonstrates potential as a practical tool for clinical risk stratification.

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Journal
BMC Nephrology
Published
2026-02-25
DOI
https://doi.org/10.1186/s12882-026-04838-9
Primary Topic
Dialysis and Renal Disease Management
Type
article
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article

A retrospective cohort study on the association between RAR and mortality in peritoneal Dialysis patients

Zhouhao Ren, Rong Fu, Mengwei Zhang, Yurui Lü et al.
BMC Nephrology
Dialysis and Renal Disease Management
article

A retrospective cohort study on the association between RAR and mortality in peritoneal Dialysis patients

Zhouhao Ren, Rong Fu, Mengwei Zhang, Yurui Lü, Shuwen Gong, Shuijuan Shen, Shunshun Zhang
article en

Abstract

Inflammation and malnutrition collectively constitute the dual challenge that predominantly shapes the prognosis of peritoneal dialysis (PD) patients. As a composite biomarker, the red cell distribution width-to-albumin ratio (RAR) integrates these two pathological dimensions into a single numerical value. Although RAR has demonstrated superior prognostic value across multiple diseases, the association with mortality in the PD population remains unexplored. This single-institution retrospective cohort investigation enrolled 394 individuals initiating peritoneal dialysis from January 2015 to December 2022 at Shaoxing People’s Hospital and followed them until May 2025. The optimal RAR cutoff for predicting mortality was established via ROC curve analysis, with discriminative performance evaluated based on the AUC value. Kaplan-Meier survival curves were plotted to compare survival rates between groups, with differences assessed using the log-rank test. Hazard ratios (HR) were calculated after adjusting for potential confounders via multivariate Cox proportional hazards regression models, supplemented by subgroup analyses and interaction analyses. Over the study period, 97 patients (24.6%) died. ROC analysis established 4.619 as the optimal RAR cutoff for mortality prediction, demonstrating significant discriminatory value with an AUC of 0.819 (P < 0.001). Compared with the C-reactive protein-to-albumin ratio and the prognostic nutritional index, RAR showed a better prognostic ability. When applying the cutoff of 4.619, patients with high RAR exhibited significantly worse survival (log-rank P < 0.001). The adjusted hazard ratio for all-cause mortality associated with high RAR was 2.498 (95% CI 1.887–3.306; P < 0.001), confirming a stable and significant association after controlling for multiple covariates. This association showed no significant heterogeneity across subgroups defined by different clinical characteristics, confirming the robustness of the finding. Based on its significant association with all-cause mortality in peritoneal dialysis patients, RAR demonstrates potential as a practical tool for clinical risk stratification.

BMC NephrologyVol. 27(1)
Shaoxing University (CN), Shaoxing People's Hospital (CN)
Good health and well-being
Openalex Percentile: Top 51%
Dialysis and Renal Disease Management
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