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PG-SGA SF in nutrition assessment and survival prediction for elderly patients with cancer

BACKGROUND: This study was sought to report the prevalence of malnutrition in elderly patients with cancer. Validate the predictive value of the nutritional assessment tool (Patient-Generated Subjective Global Assessment Short Form, PG-SGA SF) for clinical outcomes and assist the therapeutic decisio...

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Autores principales: Zhang, Qi, Li, Xiang-Rui, Zhang, Xi, Ding, Jia-Shan, Liu, Tong, Qian, Liang, Song, Meng-Meng, Song, Chun-Hua, Barazzoni, Rocco, Tang, Meng, Wang, Kun-Hua, Xu, Hong-Xia, Shi, Han-Ping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8665602/
https://www.ncbi.nlm.nih.gov/pubmed/34893024
http://dx.doi.org/10.1186/s12877-021-02662-4
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author Zhang, Qi
Li, Xiang-Rui
Zhang, Xi
Ding, Jia-Shan
Liu, Tong
Qian, Liang
Song, Meng-Meng
Song, Chun-Hua
Barazzoni, Rocco
Tang, Meng
Wang, Kun-Hua
Xu, Hong-Xia
Shi, Han-Ping
author_facet Zhang, Qi
Li, Xiang-Rui
Zhang, Xi
Ding, Jia-Shan
Liu, Tong
Qian, Liang
Song, Meng-Meng
Song, Chun-Hua
Barazzoni, Rocco
Tang, Meng
Wang, Kun-Hua
Xu, Hong-Xia
Shi, Han-Ping
author_sort Zhang, Qi
collection PubMed
description BACKGROUND: This study was sought to report the prevalence of malnutrition in elderly patients with cancer. Validate the predictive value of the nutritional assessment tool (Patient-Generated Subjective Global Assessment Short Form, PG-SGA SF) for clinical outcomes and assist the therapeutic decision. METHODS: This is a secondary analysis of a multicentric, observational cohort study. Elderly patients with cancer older than 65 years were enrolled after the first admission. Nutritional status was identified using the PG-SGA SF. RESULTS: Of the 2724 elderly patients included in the analysis, 65.27% of patients were male (n = 1778); the mean age was 71.00 ± 5.36 years. 31.5% of patients were considered malnourished according to PG-SGA SF. In multivariate analysis, malnutrition(PG-SGA SF > 5) was significantly associated with worse OS (HR: 1.47,95%CI:1.29–1.68), affects the quality of life, and was related to more frequent nutrition impact symptoms. During a median follow-up of 4.5 years, 1176 death occurred. The mortality risk was 41.10% for malnutrition during the first 12 months and led to a rate of 323.98 events per-1000-patient-years. All nutritional assessment tools were correlated with each other (PG-SGA SF vs. PG-SGA: r = 0.98; PG-SGA SF vs. GLIM[Global Leadership Initiative on Malnutrition]: r = 0.48, all P < 0.05). PG-SGA SF and PG-SGA performed similarly to predict mortality but better than GLIM. PG-SGA SF improves the predictive ability of the TNM classification system for mortality in elderly patients with cancer, including distinguishing patients’ prognoses and directing immunotherapy. CONCLUSIONS: The nutritional status as measured by PG-SGA SF which is a prognostic factor for OS in elderly cancer patients and could improve the prognostic model of TNM. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12877-021-02662-4.
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spelling pubmed-86656022021-12-13 PG-SGA SF in nutrition assessment and survival prediction for elderly patients with cancer Zhang, Qi Li, Xiang-Rui Zhang, Xi Ding, Jia-Shan Liu, Tong Qian, Liang Song, Meng-Meng Song, Chun-Hua Barazzoni, Rocco Tang, Meng Wang, Kun-Hua Xu, Hong-Xia Shi, Han-Ping BMC Geriatr Research BACKGROUND: This study was sought to report the prevalence of malnutrition in elderly patients with cancer. Validate the predictive value of the nutritional assessment tool (Patient-Generated Subjective Global Assessment Short Form, PG-SGA SF) for clinical outcomes and assist the therapeutic decision. METHODS: This is a secondary analysis of a multicentric, observational cohort study. Elderly patients with cancer older than 65 years were enrolled after the first admission. Nutritional status was identified using the PG-SGA SF. RESULTS: Of the 2724 elderly patients included in the analysis, 65.27% of patients were male (n = 1778); the mean age was 71.00 ± 5.36 years. 31.5% of patients were considered malnourished according to PG-SGA SF. In multivariate analysis, malnutrition(PG-SGA SF > 5) was significantly associated with worse OS (HR: 1.47,95%CI:1.29–1.68), affects the quality of life, and was related to more frequent nutrition impact symptoms. During a median follow-up of 4.5 years, 1176 death occurred. The mortality risk was 41.10% for malnutrition during the first 12 months and led to a rate of 323.98 events per-1000-patient-years. All nutritional assessment tools were correlated with each other (PG-SGA SF vs. PG-SGA: r = 0.98; PG-SGA SF vs. GLIM[Global Leadership Initiative on Malnutrition]: r = 0.48, all P < 0.05). PG-SGA SF and PG-SGA performed similarly to predict mortality but better than GLIM. PG-SGA SF improves the predictive ability of the TNM classification system for mortality in elderly patients with cancer, including distinguishing patients’ prognoses and directing immunotherapy. CONCLUSIONS: The nutritional status as measured by PG-SGA SF which is a prognostic factor for OS in elderly cancer patients and could improve the prognostic model of TNM. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12877-021-02662-4. BioMed Central 2021-12-10 /pmc/articles/PMC8665602/ /pubmed/34893024 http://dx.doi.org/10.1186/s12877-021-02662-4 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Zhang, Qi
Li, Xiang-Rui
Zhang, Xi
Ding, Jia-Shan
Liu, Tong
Qian, Liang
Song, Meng-Meng
Song, Chun-Hua
Barazzoni, Rocco
Tang, Meng
Wang, Kun-Hua
Xu, Hong-Xia
Shi, Han-Ping
PG-SGA SF in nutrition assessment and survival prediction for elderly patients with cancer
title PG-SGA SF in nutrition assessment and survival prediction for elderly patients with cancer
title_full PG-SGA SF in nutrition assessment and survival prediction for elderly patients with cancer
title_fullStr PG-SGA SF in nutrition assessment and survival prediction for elderly patients with cancer
title_full_unstemmed PG-SGA SF in nutrition assessment and survival prediction for elderly patients with cancer
title_short PG-SGA SF in nutrition assessment and survival prediction for elderly patients with cancer
title_sort pg-sga sf in nutrition assessment and survival prediction for elderly patients with cancer
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8665602/
https://www.ncbi.nlm.nih.gov/pubmed/34893024
http://dx.doi.org/10.1186/s12877-021-02662-4
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