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Malnutrition diagnosed by GLIM criteria better predicts long-term outcomes for patients with non-Hodgkin's lymphoma: A PROSPECTIVE MULTICENTER COHORT STUDY

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机构: [1]Department of Epidemiology and Statistics, College of Public Health, Zhengzhou University, Zhengzhou, 450001, Henan, China. [2]Henan Key Laboratory of Tumor Epidemiology, Zhengzhou University, Zhengzhou, 450052, Henan, China. [3]Department of Clinical Nutrition, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing, 400042, China. [4]Department of Clinical Nutrition, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, Henan, China. [5]Department of Gastrointestinal Surgery, Institute of Gastroenterology, The First Affiliated Hospital of Kunming Medical University, Kunming, 650032, Yunnan, China. [6]Cancer Center of the First Hospital of Jilin University, Changchun, 130021, Jilin, China. [7]Department of Gastrointestinal Surgery and Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China. [8]State Key Laboratory of Esophageal Cancer Prevention & Treatment, Zhengzhou University, Zhengzhou, 450052, Henan, China.
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Since Global Leadership Initiative on Malnutrition (GLIM) method was proposed, few studies have applied these new criteria to hematological tumors. In this study, we explored the prevalence of malnutrition according to the GLIM criteria and scored Patient-Generated Subjective Global Assessment (sPG-SGA) and their association with 1-year, 3-year and 5-year mortality among patients with non-Hodgkin's lymphoma (NHL). Malnutrition of all patients were assessed by GLIM criteria and PG-SGA. Relationship between the malnutrition based on GLIM criteria or PG-SGA and mortality was investigated by Cox regression analyses. The performance of GLIM criteria was evaluated by assessing the sensitivity, specificity, k-value, receiver operating characteristic (ROC) curve and time-dependent ROC. Of 963 patients with NHL, the prevalence of malnutrition was 38.8% with GLIM criteria, 65.3% with GLIM-omitted NRS-2002 and 53.2% with sPG-SGA. In comparison with sPG-SGA, the sensitivity of GLIM criteria was 61.7%, the specificity was 84.8%, and the agreement was moderate (k=0.48, P<0.001). Malnutrition based on GLIM criteria could also predict 3-year and 5-year mortality after adjusting for confounders, except for sPG-SGA (HR=1.816, 95%CI=1.274-2.589, P=0.001 for 3-year mortality; HR=1.707, 95%CI=1.223-2.382, P=0.002 for 5-year mortality). For patients with NHL, GLIM criteria could be applied as an effective replacement to sPG-SGA for nutrition assessment and mortality prediction, especially for predicting long-term prognostic outcomes. This article is protected by copyright. All rights reserved.This article is protected by copyright. All rights reserved.

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大类 | 4 区 医学
小类 | 4 区 血液学 4 区 肿瘤学
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出版当年[2023]版:
Q2 HEMATOLOGY Q2 ONCOLOGY
最新[2023]版:
Q2 HEMATOLOGY Q2 ONCOLOGY

影响因子: 最新[2023版] 最新五年平均 出版当年[2023版] 出版当年五年平均 出版前一年[2022版]

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第一作者机构: [1]Department of Epidemiology and Statistics, College of Public Health, Zhengzhou University, Zhengzhou, 450001, Henan, China. [2]Henan Key Laboratory of Tumor Epidemiology, Zhengzhou University, Zhengzhou, 450052, Henan, China.
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通讯机构: [1]Department of Epidemiology and Statistics, College of Public Health, Zhengzhou University, Zhengzhou, 450001, Henan, China. [2]Henan Key Laboratory of Tumor Epidemiology, Zhengzhou University, Zhengzhou, 450052, Henan, China. [7]Department of Gastrointestinal Surgery and Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China. [8]State Key Laboratory of Esophageal Cancer Prevention & Treatment, Zhengzhou University, Zhengzhou, 450052, Henan, China. [*1]Department of Epidemiology and Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan 450001, China. [*2]Department of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital,Capital Medical University, 10 Tieyi Road,Yangfangdian Haidian District, Beijing 100038, China.
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