Answers are grounded in this paper and cite their sources.
This retrospective study investigates the impact of the Nutritional Risk Index on mortality in hemodialysis patients, indicating potential markers for malnutrition.
The associations between the Nutritional Risk Index for Japanese Hemodialysis Patients (NRI-JH) score, protein-energy wasting (PEW), and mortality in patients undergoing hemodialysis remain unclear. We investigated the associations among the NRI-JH score, PEW, and all-cause death in patients undergoing hemodialysis. We retrospectively enrolled 263 patients on maintenance hemodialysis for more than 6 months. PEW was diagnosed using the simple PEW score. We determined the optimal NRI-JH cutoff score for diagnosing PEW from the receiver operating characteristic curve analysis. We divided patients into two groups using the cutoff and followed up on mortality. The NRI-JH score and simple PEW score were significantly correlated (ρ = 0.581, p < 0.0001). The NRI-JH scores were notably higher for patients with PEW (median 8 [interquartile range (IQR) 5–9], N = 94) than for those without PEW (median 4 [IQR 1–7], N = 169) (p < 0.0001). The optimal NRI-JH score cutoff was 8 (area under the curve 0.776, sensitivity 0.617, specificity 0.841; p < 0.0001). During the follow-up period, 131 patients died. The 5-year survival rate was significantly lower in the group with NRI-JH scores ≥ 8 than in the group with scores < 8 (43.4% vs. 75.7%; p < 0.0001). A higher NRI-JH score was independently linked to an increased all-cause mortality risk (adjusted hazard ratio 1.98, 95% confidence interval 1.34–2.93; p = 0.0007). Moreover, adding the NRI-JH score to the baseline risk model significantly improved the net reclassification improvement (0.418, p = 0.00051). The optimal NRI-JH cutoff for diagnosing PEW in Japanese patients on hemodialysis was 8. Additionally, a higher NRI-JH score (≥ 8) was independently associated with a greater risk of all-cause mortality. Therefore, the NRI-JH may serve as both a marker of malnutrition and a predictor of mortality in these patients.
Loading...
Yajima et al. (2026) studied this question.
Synapse has enriched 10 related papers. Consider them for comparative context: