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Background <p>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.</p> Methods <p>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.</p> Results <p>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 (<i>P</i> &lt; 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 <i>P</i> &lt; 0.001). The adjusted hazard ratio for all-cause mortality associated with high RAR was 2.498 (95% CI 1.887–3.306; <i>P</i> &lt; 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.</p> Conclusion <p>Based on its significant association with all-cause mortality in peritoneal dialysis patients, RAR demonstrates potential as a practical tool for clinical risk stratification.</p>

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

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年2月25日

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  • Mengwei Zhang,
  • Zhouhao Ren,
  • Shunshun Zhang,
  • Yurui Lü,
  • Ruting Fu,
  • Shuwen Gong,
  • Shuijuan Shen

摘要

Background

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.

Methods

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.

Results

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.

Conclusion

Based on its significant association with all-cause mortality in peritoneal dialysis patients, RAR demonstrates potential as a practical tool for clinical risk stratification.