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Geriatric nutritional risk index predicts poor outcomes in patients with acute ischemic stroke - Automated undernutrition screen tool

BACKGROUND: Premorbid undernutrition has been proven to have an adverse effect on the prognosis of stroke patients. The evaluation of nutritional status is important, but there is no universally accepted screen methodology. PURPOSE: We aimed to use the geriatric nutritional risk index (GNRI) for eva...

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Autores principales: Kang, Min Kyoung, Kim, Tae Jung, Kim, Yerim, Nam, Ki-Woong, Jeong, Han-Yeong, Kim, Sung Kyung, Lee, Ji Sung, Ko, Sang-Bae, Yoon, Byung-Woo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7017988/
https://www.ncbi.nlm.nih.gov/pubmed/32053672
http://dx.doi.org/10.1371/journal.pone.0228738
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author Kang, Min Kyoung
Kim, Tae Jung
Kim, Yerim
Nam, Ki-Woong
Jeong, Han-Yeong
Kim, Sung Kyung
Lee, Ji Sung
Ko, Sang-Bae
Yoon, Byung-Woo
author_facet Kang, Min Kyoung
Kim, Tae Jung
Kim, Yerim
Nam, Ki-Woong
Jeong, Han-Yeong
Kim, Sung Kyung
Lee, Ji Sung
Ko, Sang-Bae
Yoon, Byung-Woo
author_sort Kang, Min Kyoung
collection PubMed
description BACKGROUND: Premorbid undernutrition has been proven to have an adverse effect on the prognosis of stroke patients. The evaluation of nutritional status is important, but there is no universally accepted screen methodology. PURPOSE: We aimed to use the geriatric nutritional risk index (GNRI) for evaluating the effect of premorbid undernutrition on short-term outcomes in patients with acute ischemic stroke. METHODS: A total of 1,906 patients were included for analysis. Baseline characteristics were collected. We evaluated the nutritional status of the patients using the GNRI and body mass index(BMI). The GNRI was calculated as {1.519×serum albumin(g/dL) + 41.7×present weight (kg)/ideal body weight (kg)}. All patients were categorized into four groups on the basis of the GNRI score. RESULTS: Among the included patients, 546 patients had an unfavorable outcomes. The proportion of patients with moderate and severe risk, assessed in GNRI, was significantly higher in the unfavorable outcome group compared to the favorable outcome group (33.3% vs 15.0%). The increased risk of premorbid undernutrition was associated with an increased risk of unfavorable outcome in a dose-response manner after adjusting for covariates. CONCLUSIONS: This study demonstrated that GNRI was associated with poor prognosis in patients with acute ischemic stroke. GNRI may be used to screen patients at high risk for unfavorable outcome.
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spelling pubmed-70179882020-02-26 Geriatric nutritional risk index predicts poor outcomes in patients with acute ischemic stroke - Automated undernutrition screen tool Kang, Min Kyoung Kim, Tae Jung Kim, Yerim Nam, Ki-Woong Jeong, Han-Yeong Kim, Sung Kyung Lee, Ji Sung Ko, Sang-Bae Yoon, Byung-Woo PLoS One Research Article BACKGROUND: Premorbid undernutrition has been proven to have an adverse effect on the prognosis of stroke patients. The evaluation of nutritional status is important, but there is no universally accepted screen methodology. PURPOSE: We aimed to use the geriatric nutritional risk index (GNRI) for evaluating the effect of premorbid undernutrition on short-term outcomes in patients with acute ischemic stroke. METHODS: A total of 1,906 patients were included for analysis. Baseline characteristics were collected. We evaluated the nutritional status of the patients using the GNRI and body mass index(BMI). The GNRI was calculated as {1.519×serum albumin(g/dL) + 41.7×present weight (kg)/ideal body weight (kg)}. All patients were categorized into four groups on the basis of the GNRI score. RESULTS: Among the included patients, 546 patients had an unfavorable outcomes. The proportion of patients with moderate and severe risk, assessed in GNRI, was significantly higher in the unfavorable outcome group compared to the favorable outcome group (33.3% vs 15.0%). The increased risk of premorbid undernutrition was associated with an increased risk of unfavorable outcome in a dose-response manner after adjusting for covariates. CONCLUSIONS: This study demonstrated that GNRI was associated with poor prognosis in patients with acute ischemic stroke. GNRI may be used to screen patients at high risk for unfavorable outcome. Public Library of Science 2020-02-13 /pmc/articles/PMC7017988/ /pubmed/32053672 http://dx.doi.org/10.1371/journal.pone.0228738 Text en © 2020 Kang et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Kang, Min Kyoung
Kim, Tae Jung
Kim, Yerim
Nam, Ki-Woong
Jeong, Han-Yeong
Kim, Sung Kyung
Lee, Ji Sung
Ko, Sang-Bae
Yoon, Byung-Woo
Geriatric nutritional risk index predicts poor outcomes in patients with acute ischemic stroke - Automated undernutrition screen tool
title Geriatric nutritional risk index predicts poor outcomes in patients with acute ischemic stroke - Automated undernutrition screen tool
title_full Geriatric nutritional risk index predicts poor outcomes in patients with acute ischemic stroke - Automated undernutrition screen tool
title_fullStr Geriatric nutritional risk index predicts poor outcomes in patients with acute ischemic stroke - Automated undernutrition screen tool
title_full_unstemmed Geriatric nutritional risk index predicts poor outcomes in patients with acute ischemic stroke - Automated undernutrition screen tool
title_short Geriatric nutritional risk index predicts poor outcomes in patients with acute ischemic stroke - Automated undernutrition screen tool
title_sort geriatric nutritional risk index predicts poor outcomes in patients with acute ischemic stroke - automated undernutrition screen tool
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7017988/
https://www.ncbi.nlm.nih.gov/pubmed/32053672
http://dx.doi.org/10.1371/journal.pone.0228738
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