Usefulness of Geriatric Nutritional Risk Index for Assessing Nutritional Status and Its Prognostic Impact in Patients Aged ?65 Years With Acute Heart Failure - 04/08/16
, Naotsugu Iwakami, MD, MPH, Yasuo Sugano, MD, PhD, Satoshi Honda, MD, Atsushi Okada, MD, Yasuhide Asaumi, MD, PhD, Takeshi Aiba, MD, PhD, Teruo Noguchi, MD, PhD, Kengo Kusano, MD, PhD, Hisao Ogawa, MD, PhD, Satoshi Yasuda, MD, PhD, Toshihisa Anzai, MD, PhDon behalf of the
NaDEF investigators
Abstract |
Malnutrition is becoming one of the most important determinants of worse clinical outcomes in patients with acute heart failure (AHF). However, appropriate tools for evaluating the nutritional status in patients aged ≥65 years with AHF remain unclear. We examined 490 consecutive patients aged ≥65 years with AHF. They were divided into 2 groups according to Geriatric Nutritional Risk Index (GNRI; cut-off value = 92). During a median period of 189 days, the mortality rate was significantly higher in the lower GNRI group than the higher GNRI group (p <0.001). In multivariate analyses, lower GNRI was an independent determinant of adverse events (HR 0.92, 95% CI 0.88 to 0.95, p <0.001). The GNRI showed the best prognostic value (C-statistic: 0.70) among other nutritional indexes. Adding GNRI to an existing outcome prediction model for mortality in AHF significantly increased the C-statistic from 0.68 to 0.74 (p = 0.017). The net reclassification improvement afforded by GNRI was 60% overall, 27% for events, and 33% for nonevents (p <0.001). In conclusion, lower GNRI on admission was independently associated with worse clinical outcomes in patients aged ≥65 years with AHF, and it was superior to other nutritional parameters. Furthermore, the assessment of nutritional status using GNRI is very helpful for risk stratification.
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| This work was supported by a grant from the Japan Cardiovascular Research Foundation (Toshihisa Anzai, 24-4-2, Osaka, Japan), and a Grant-in-Aid for Young Scientists from the Japan Society for the Promotion of Science (Toshiyuki Nagai, 15K19402, Tokyo, Japan). |
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| See page 554 for disclosure information. |
Vol 118 - N° 4
P. 550-555 - août 2016 Retour au numéro
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