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GLIM、ESPEN 和 ICD-10 标准诊断营养不良和预测 30 天结局的比较:肿瘤人群中的一项观察性研究。

Comparison of the GLIM, ESPEN and ICD-10 Criteria to Diagnose Malnutrition and Predict 30-Day Outcomes: An Observational Study in an Oncology Population.

机构信息

School of Exercise and Nutrition Sciences, Deakin University, Melbourne 3125, Australia.

Nutrition and Speech Pathology Department, Peter MacCallum Cancer Centre, Melbourne 3000, Australia.

出版信息

Nutrients. 2021 Jul 28;13(8):2602. doi: 10.3390/nu13082602.

Abstract

The Global Leadership Initiative on Malnutrition (GLIM) criteria are consensus criteria for the diagnosis of malnutrition. This study aimed to investigate and compare the prevalence of malnutrition using the GLIM, European Society for Clinical Nutrition and Metabolism (ESPEN) and International Statistical Classification of Diseases version 10 (ICD-10) criteria; compare the level of agreement between these criteria; and identify the predictive validity of each set of criteria with respect to 30-day outcomes in a large cancer cohort. GLIM, ESPEN and ICD-10 were applied to determine the prevalence of malnutrition in 2794 participants from two cancer malnutrition point prevalence studies. Agreement between the criteria was analysed using the Cohen's Kappa statistic. Binary logistic regression models were used to determine the ability of each set of criteria to predict 30-day mortality and unplanned admission or readmission. GLIM, ESPEN and ICD-10 criteria identified 23.0%, 5.5% and 12.6% of the cohort as malnourished, respectively. Slight-to-fair agreement was reported between the criteria. All three criteria were predictive of mortality, but only the GLIM and ICD-10 criteria were predictive of unplanned admission or readmission at 30 days. The GLIM criteria identified the highest prevalence of malnutrition and had the greatest predictive ability for mortality and unplanned admission or readmission in an oncology population.

摘要

全球营养不良领导倡议 (GLIM) 标准是营养不良诊断的共识标准。本研究旨在调查和比较使用 GLIM、欧洲临床营养与代谢学会 (ESPEN) 和国际疾病分类第 10 版 (ICD-10) 标准诊断营养不良的患病率;比较这些标准之间的一致性水平;并确定每组标准对大型癌症队列 30 天结局的预测有效性。GLIM、ESPEN 和 ICD-10 标准应用于确定来自两项癌症营养不良现况研究的 2794 名参与者中营养不良的患病率。使用 Cohen's Kappa 统计量分析标准之间的一致性。二元逻辑回归模型用于确定每组标准预测 30 天死亡率和非计划入院或再入院的能力。GLIM、ESPEN 和 ICD-10 标准分别确定队列中 23.0%、5.5%和 12.6%的患者为营养不良。报告了标准之间的轻微到适度一致。所有三种标准均预测死亡率,但只有 GLIM 和 ICD-10 标准可预测 30 天内非计划入院或再入院。GLIM 标准确定了最高的营养不良患病率,并且在肿瘤患者中对死亡率和非计划入院或再入院具有最大的预测能力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0470/8402162/33266fed61ff/nutrients-13-02602-g001.jpg

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