Comparison of Nutritional Risk Scores for Predicting Mortality in Japanese Chronic Hemodialysis Patients
Objective Protein energy wasting (PEW) is consistently associated with poor prognosis in hemodialysis (HD) patients. We compared the predictability of PEW as diagnosed by The International Society of Renal Nutrition and Metabolism criteria (PEWISRNM ) and geriatric nutritional risk index (GNRI) for...
Gespeichert in:
Veröffentlicht in: | Journal of renal nutrition 2017-05, Vol.27 (3), p.201-206 |
---|---|
Hauptverfasser: | , , , , , , , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
Zusammenfassung: | Objective Protein energy wasting (PEW) is consistently associated with poor prognosis in hemodialysis (HD) patients. We compared the predictability of PEW as diagnosed by The International Society of Renal Nutrition and Metabolism criteria (PEWISRNM ) and geriatric nutritional risk index (GNRI) for all-cause mortality in Japanese HD patients. As cut-off values for body mass index (BMI) for PEW have not been established in PEWISRNM for Asian populations, these were also investigated. Design and Subjects The nutritional status from 409 HD patients was evaluated according to ISRNM and GNRI criteria. To compare the predictability of mortality, C-index, net reclassification improvement (NRI) and integrated discrimination improvement were evaluated. Results During follow-up (median, 52 months; range, 7 months), 70 patients (17.1%) presented PEW according to ISRNM and 131 patients (32.1%) according to GNRI; in addition, 101 patients (24.7%) died. PEWISRNM and GNRI were identified as independent predictors of death. Addition of PEWISRNM and GNRI to a predictive model based on established risk factors improved NRI and integrated discrimination improvement. However, no differences were found between models including PEWISRNM and GNRI. When lowering the criterion level of BMI per 1 kg/m2 sequentially, PEWISRNM at BMI |
---|---|
ISSN: | 1051-2276 1532-8503 |
DOI: | 10.1053/j.jrn.2016.12.005 |