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Prevalence and Prognostic Value of Malnutrition Among Elderly Cancer Patients Using Three Scoring Systems

Background: Malnutrition is common in patients with cancer and is associated with adverse outcomes, but few data exist in elderly patients. The aim of this study was to report the prevalence of malnutrition using three different scoring systems and to examine the possible clinical relationship and p...

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Autores principales: Zhang, Qi, Qian, Liang, Liu, Tong, Ding, Jia-Shan, Zhang, Xi, Song, Meng-Meng, Wang, Zi-Wen, Ge, Yi-Zhong, Hu, Chun-Lei, Li, Xiang-Rui, Tang, Meng, Wang, Kun-Hua, Barazzoni, Rocco, Song, Chun-Hua, Xu, Hong-Xia, Shi, Han-Ping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8544751/
https://www.ncbi.nlm.nih.gov/pubmed/34708064
http://dx.doi.org/10.3389/fnut.2021.738550
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author Zhang, Qi
Qian, Liang
Liu, Tong
Ding, Jia-Shan
Zhang, Xi
Song, Meng-Meng
Wang, Zi-Wen
Ge, Yi-Zhong
Hu, Chun-Lei
Li, Xiang-Rui
Tang, Meng
Wang, Kun-Hua
Barazzoni, Rocco
Song, Chun-Hua
Xu, Hong-Xia
Shi, Han-Ping
author_facet Zhang, Qi
Qian, Liang
Liu, Tong
Ding, Jia-Shan
Zhang, Xi
Song, Meng-Meng
Wang, Zi-Wen
Ge, Yi-Zhong
Hu, Chun-Lei
Li, Xiang-Rui
Tang, Meng
Wang, Kun-Hua
Barazzoni, Rocco
Song, Chun-Hua
Xu, Hong-Xia
Shi, Han-Ping
author_sort Zhang, Qi
collection PubMed
description Background: Malnutrition is common in patients with cancer and is associated with adverse outcomes, but few data exist in elderly patients. The aim of this study was to report the prevalence of malnutrition using three different scoring systems and to examine the possible clinical relationship and prognostic consequence of malnutrition in elderly patients with cancer. Methods: Nutritional status was assessed by using controlling nutritional status (CONUT), the prognostic nutritional index (PNI), and the nutritional risk index (NRI). Quality-of-life (Qol) was assessed during admission by using the European Organization for Research and Treatment of Cancer Quality of Life Questionnaire C-30. Performance status (PS) was assessed by using the Eastern Cooperative Oncology Group (ECOG) classification. The relationship between nutritional status and overall survival and Qol were examined. Results: Data were available for 1,494 elderly patients with cancer (63.65% male), the mean age was 70.76 years. According to the CONUT, NRI, and PNI, 55.02, 58.70, and 11.65% patients were diagnosed with malnutrition, respectively. Worse nutritional status was related to older, lower BMI, lower hand grip strength, and more advanced tumor stage. All malnutrition indexes were correlated with each other (CONUT vs. PNI, r = −0.657; CONUT vs. NRI scores, r = −0.672; PNI vs. NRI scores, r = 0.716, all P < 0.001). During a median follow-up of 43.1 months, 692 (46.32%) patients died. For patients malnourished, the incidence rate (events-per-1,000person-years) was as follows: CONUT (254.18), PNI (429.91), and NRI (261.87). Malnutrition was associated with increased risk for all-cause mortality (adjust HR [95%CI] for CONUT: 1.09 [1.05–1.13], P < 0.001; PNI: 0.98[0.97–0.99], P < 0.001; NRI: 0.98 [0.98–0.99], P < 0.001). All malnutrition indexes improved the predictive ability of the TNM classification system for all-cause mortality. Deterioration of nutritional status was associated with deterioration in Qol parameters and immunotherapeutic response (P < 0.001). Conclusions: Malnutrition was prevalent in elderly patients with cancer, regardless of the assessment tools used, and associated with lower Qol and the immunotherapy response.
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spelling pubmed-85447512021-10-26 Prevalence and Prognostic Value of Malnutrition Among Elderly Cancer Patients Using Three Scoring Systems Zhang, Qi Qian, Liang Liu, Tong Ding, Jia-Shan Zhang, Xi Song, Meng-Meng Wang, Zi-Wen Ge, Yi-Zhong Hu, Chun-Lei Li, Xiang-Rui Tang, Meng Wang, Kun-Hua Barazzoni, Rocco Song, Chun-Hua Xu, Hong-Xia Shi, Han-Ping Front Nutr Nutrition Background: Malnutrition is common in patients with cancer and is associated with adverse outcomes, but few data exist in elderly patients. The aim of this study was to report the prevalence of malnutrition using three different scoring systems and to examine the possible clinical relationship and prognostic consequence of malnutrition in elderly patients with cancer. Methods: Nutritional status was assessed by using controlling nutritional status (CONUT), the prognostic nutritional index (PNI), and the nutritional risk index (NRI). Quality-of-life (Qol) was assessed during admission by using the European Organization for Research and Treatment of Cancer Quality of Life Questionnaire C-30. Performance status (PS) was assessed by using the Eastern Cooperative Oncology Group (ECOG) classification. The relationship between nutritional status and overall survival and Qol were examined. Results: Data were available for 1,494 elderly patients with cancer (63.65% male), the mean age was 70.76 years. According to the CONUT, NRI, and PNI, 55.02, 58.70, and 11.65% patients were diagnosed with malnutrition, respectively. Worse nutritional status was related to older, lower BMI, lower hand grip strength, and more advanced tumor stage. All malnutrition indexes were correlated with each other (CONUT vs. PNI, r = −0.657; CONUT vs. NRI scores, r = −0.672; PNI vs. NRI scores, r = 0.716, all P < 0.001). During a median follow-up of 43.1 months, 692 (46.32%) patients died. For patients malnourished, the incidence rate (events-per-1,000person-years) was as follows: CONUT (254.18), PNI (429.91), and NRI (261.87). Malnutrition was associated with increased risk for all-cause mortality (adjust HR [95%CI] for CONUT: 1.09 [1.05–1.13], P < 0.001; PNI: 0.98[0.97–0.99], P < 0.001; NRI: 0.98 [0.98–0.99], P < 0.001). All malnutrition indexes improved the predictive ability of the TNM classification system for all-cause mortality. Deterioration of nutritional status was associated with deterioration in Qol parameters and immunotherapeutic response (P < 0.001). Conclusions: Malnutrition was prevalent in elderly patients with cancer, regardless of the assessment tools used, and associated with lower Qol and the immunotherapy response. Frontiers Media S.A. 2021-10-11 /pmc/articles/PMC8544751/ /pubmed/34708064 http://dx.doi.org/10.3389/fnut.2021.738550 Text en Copyright © 2021 Zhang, Qian, Liu, Ding, Zhang, Song, Wang, Ge, Hu, Li, Tang, Wang, Barazzoni, Song, Xu, Shi and Investigation on Nutrition Status and Its Clinical Outcome of Common Cancers (INSCOC) Group. 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
Zhang, Qi
Qian, Liang
Liu, Tong
Ding, Jia-Shan
Zhang, Xi
Song, Meng-Meng
Wang, Zi-Wen
Ge, Yi-Zhong
Hu, Chun-Lei
Li, Xiang-Rui
Tang, Meng
Wang, Kun-Hua
Barazzoni, Rocco
Song, Chun-Hua
Xu, Hong-Xia
Shi, Han-Ping
Prevalence and Prognostic Value of Malnutrition Among Elderly Cancer Patients Using Three Scoring Systems
title Prevalence and Prognostic Value of Malnutrition Among Elderly Cancer Patients Using Three Scoring Systems
title_full Prevalence and Prognostic Value of Malnutrition Among Elderly Cancer Patients Using Three Scoring Systems
title_fullStr Prevalence and Prognostic Value of Malnutrition Among Elderly Cancer Patients Using Three Scoring Systems
title_full_unstemmed Prevalence and Prognostic Value of Malnutrition Among Elderly Cancer Patients Using Three Scoring Systems
title_short Prevalence and Prognostic Value of Malnutrition Among Elderly Cancer Patients Using Three Scoring Systems
title_sort prevalence and prognostic value of malnutrition among elderly cancer patients using three scoring systems
topic Nutrition
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8544751/
https://www.ncbi.nlm.nih.gov/pubmed/34708064
http://dx.doi.org/10.3389/fnut.2021.738550
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