Geriatric Nutritional Risk Index (GNRI) and Creatinine Index Equally Predict the Risk of Mortality in Hemodialysis Patients: J-DOPPS.


Journal

Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288

Informations de publication

Date de publication:
01 04 2020
Historique:
received: 22 02 2019
accepted: 11 03 2020
entrez: 3 4 2020
pubmed: 3 4 2020
medline: 15 12 2020
Statut: epublish

Résumé

The geriatric nutritional risk index (GNRI) and creatinine (Cr) index are indexes often used as nutritional surrogates in patients receiving hemodialysis. However, few studies have directly compared the clinical characteristics of these two indexes. We investigated 3,536 hemodialysis patients enrolled in the Japan DOPPS phases 4 and 5. The primary outcome was all-cause mortality and the main exposures were the GNRI and Cr index. We confirmed and compared the association between these indexes and mortality risk as estimated by a multivariable-adjusted Cox proportional hazards model. During the median 2.2-year follow-up period, 414 patients died of any cause. In the multivariable-adjusted model, lower GNRI and Cr index were both associated with increased risk of all-cause mortality, and these associations were further confirmed by restricted cubic spline curves. The predictability of all-cause mortality, as represented by the c-statistic, was comparable between the two indexes. Furthermore, baseline nutritional surrogates that corresponded with lower GNRI or Cr index values were comparable between the two indexes. Given that calculating the GNRI is simpler than calculating the Cr index, our data suggest that the GNRI may be preferable to the Cr index for predicting clinical outcomes in patients undergoing maintenance hemodialysis.

Identifiants

pubmed: 32238848
doi: 10.1038/s41598-020-62720-6
pii: 10.1038/s41598-020-62720-6
pmc: PMC7113241
doi:

Substances chimiques

Creatinine AYI8EX34EU

Types de publication

Journal Article Multicenter Study Observational Study Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

5756

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Auteurs

Shunsuke Yamada (S)

Department of Medicine and Clinical Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan. ana65641@nifty.com.

Shungo Yamamoto (S)

Department of Healthcare Epidemiology, School of Public Health in the Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Institute for Health Outcomes and Process Evaluation Research (iHope International), Kyoto, Japan.

Shingo Fukuma (S)

Human Health Sciences, Graduate School of Medicine, Kyoto University, Kyoto, Japan.

Toshiaki Nakano (T)

Department of Medicine and Clinical Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.

Kazuhiko Tsuruya (K)

Department of Nephrology, Nara Medical University, Nara, Japan.

Masaaki Inaba (M)

Department of Metabolism, Endocrinology and Molecular Medicine, Osaka City University Graduate School of Medicine, Osaka, Japan.

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