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The geriatric nutritional risk index is an effective tool to detect GLIM-defined malnutrition in rectal cancer patients
BACKGROUND: This study aimed to investigate the value of the Geriatric Nutritional Risk Index (GNRI), prognostic nutritional index (PNI), and advanced lung cancer inflammation index (ALI) scores in detecting malnutrition in patients with rectal cancer; the Global Leadership Initiative on Malnutritio...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9705966/ https://www.ncbi.nlm.nih.gov/pubmed/36458177 http://dx.doi.org/10.3389/fnut.2022.1061944 |
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author | Chen, Xi-Yi Lin, Yi Yin, Shang-Yu Shen, Ya-Ting Zhang, Xi-Cheng Chen, Ke-Ke Zhou, Chong-Jun Zheng, Chen-Guo |
author_facet | Chen, Xi-Yi Lin, Yi Yin, Shang-Yu Shen, Ya-Ting Zhang, Xi-Cheng Chen, Ke-Ke Zhou, Chong-Jun Zheng, Chen-Guo |
author_sort | Chen, Xi-Yi |
collection | PubMed |
description | BACKGROUND: This study aimed to investigate the value of the Geriatric Nutritional Risk Index (GNRI), prognostic nutritional index (PNI), and advanced lung cancer inflammation index (ALI) scores in detecting malnutrition in patients with rectal cancer; the Global Leadership Initiative on Malnutrition (GLIM) was used as the reference criterion. MATERIALS AND METHODS: This study included patients with rectal cancer who underwent proctectomy. GNRI, PNI, and ALI were calculated to detect the GLIM-defined malnutrition using the Receiver operating characteristic (ROC) curves. Univariate and multivariate logistic regression analyses were used to evaluate the association between the nutritional tools and postoperative complications. Kaplan-Meier survival curves, log-rank tests, and univariate and multivariate Cox regression analyses were used to clarify the relationship between nutritional tools and overall survival (OS). RESULTS: This study enrolled 636 patients with rectal cancer. The GNRI demonstrated the highest sensitivity (77.8%), pretty specificity (69.0%), and the largest AUC (0.734). The GNRI showed good property in predicting major postoperative complications. All three nutritional tools were independent predictors of OS. CONCLUSION: The GNRI can be used as a promising alternative to the GLIM and is optimal in perioperative management of patients with rectal cancer. |
format | Online Article Text |
id | pubmed-9705966 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-97059662022-11-30 The geriatric nutritional risk index is an effective tool to detect GLIM-defined malnutrition in rectal cancer patients Chen, Xi-Yi Lin, Yi Yin, Shang-Yu Shen, Ya-Ting Zhang, Xi-Cheng Chen, Ke-Ke Zhou, Chong-Jun Zheng, Chen-Guo Front Nutr Nutrition BACKGROUND: This study aimed to investigate the value of the Geriatric Nutritional Risk Index (GNRI), prognostic nutritional index (PNI), and advanced lung cancer inflammation index (ALI) scores in detecting malnutrition in patients with rectal cancer; the Global Leadership Initiative on Malnutrition (GLIM) was used as the reference criterion. MATERIALS AND METHODS: This study included patients with rectal cancer who underwent proctectomy. GNRI, PNI, and ALI were calculated to detect the GLIM-defined malnutrition using the Receiver operating characteristic (ROC) curves. Univariate and multivariate logistic regression analyses were used to evaluate the association between the nutritional tools and postoperative complications. Kaplan-Meier survival curves, log-rank tests, and univariate and multivariate Cox regression analyses were used to clarify the relationship between nutritional tools and overall survival (OS). RESULTS: This study enrolled 636 patients with rectal cancer. The GNRI demonstrated the highest sensitivity (77.8%), pretty specificity (69.0%), and the largest AUC (0.734). The GNRI showed good property in predicting major postoperative complications. All three nutritional tools were independent predictors of OS. CONCLUSION: The GNRI can be used as a promising alternative to the GLIM and is optimal in perioperative management of patients with rectal cancer. Frontiers Media S.A. 2022-11-15 /pmc/articles/PMC9705966/ /pubmed/36458177 http://dx.doi.org/10.3389/fnut.2022.1061944 Text en Copyright © 2022 Chen, Lin, Yin, Shen, Zhang, Chen, Zhou and Zheng. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Nutrition Chen, Xi-Yi Lin, Yi Yin, Shang-Yu Shen, Ya-Ting Zhang, Xi-Cheng Chen, Ke-Ke Zhou, Chong-Jun Zheng, Chen-Guo The geriatric nutritional risk index is an effective tool to detect GLIM-defined malnutrition in rectal cancer patients |
title | The geriatric nutritional risk index is an effective tool to detect GLIM-defined malnutrition in rectal cancer patients |
title_full | The geriatric nutritional risk index is an effective tool to detect GLIM-defined malnutrition in rectal cancer patients |
title_fullStr | The geriatric nutritional risk index is an effective tool to detect GLIM-defined malnutrition in rectal cancer patients |
title_full_unstemmed | The geriatric nutritional risk index is an effective tool to detect GLIM-defined malnutrition in rectal cancer patients |
title_short | The geriatric nutritional risk index is an effective tool to detect GLIM-defined malnutrition in rectal cancer patients |
title_sort | geriatric nutritional risk index is an effective tool to detect glim-defined malnutrition in rectal cancer patients |
topic | Nutrition |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9705966/ https://www.ncbi.nlm.nih.gov/pubmed/36458177 http://dx.doi.org/10.3389/fnut.2022.1061944 |
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