Comparison of three objective nutritional screening tools for identifying GLIM-defined malnutrition in patients with gastric cancer.

IF 3.6 3区 医学 Q2 NUTRITION & DIETETICS
Junbo Zuo, Yan Huang, Zhenhua Huang, Jingxin Zhang, Wenji Hou, Chen Wang, Xiuhua Wang, Xuefeng Bu
{"title":"Comparison of three objective nutritional screening tools for identifying GLIM-defined malnutrition in patients with gastric cancer.","authors":"Junbo Zuo, Yan Huang, Zhenhua Huang, Jingxin Zhang, Wenji Hou, Chen Wang, Xiuhua Wang, Xuefeng Bu","doi":"10.1038/s41430-024-01514-9","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>This study aimed to compare three objective nutritional screening tools for identifying GLIM-defined malnutrition in patients with gastric cancer (GC).</p><p><strong>Method: </strong>Objective nutritional screening tools including geriatric nutritional risk index (GNRI), prognostic nutritional index (PNI), and controlling nutritional status (CONUT) score, were evaluated in patients with GC at our institution. Malnutrition was diagnosed according to the GLIM criteria. The diagnostic value of GNRI, PNI, and COUNT scores in identifying GLIM-defined malnutrition was assessed by conducting Receiver Operating Characteristic (ROC) curves and calculating the area under the curve (AUC). Additionally, sensitivity, specificity, accuracy, positive predictive value (PPV), and negative predictive value (NPV) were determined. The Kappa coefficient (k) was used to assess agreement between three objective nutritional screening tools and GLIM criteria.</p><p><strong>Results: </strong>A total of 316 patients were enrolled in this study, and malnutrition was diagnosed in 151 (47.8%) patients based on the GLIM criteria. The GNRI demonstrated good diagnostic accuracy (AUC = 0.805, 95% CI: 0.758-0.852) for detecting GLIM-defined malnutrition, while the PNI and COUNT score showed poor diagnostic accuracy with AUCs of 0.699 (95% CI: 0.641-0.757) and 0.665 (95% CI: 0.605-0.725) respectively. Among these objective nutritional screening tools, the GNRI-based malnutrition risk assessment demonstrated the highest specificity (80.0%), accuracy (72.8%), PPV (74.8%), NPV (71.4%), and consistency (k = 0.452) with GLIM-defined malnutrition.</p><p><strong>Conclusions: </strong>Compared to PNI and COUNT scores, GNRI demonstrated superior performance as an objective nutritional screening tool for identifying GLIM-defined malnutrition in GC patients.</p>","PeriodicalId":11927,"journal":{"name":"European Journal of Clinical Nutrition","volume":" ","pages":""},"PeriodicalIF":3.6000,"publicationDate":"2024-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"European Journal of Clinical Nutrition","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1038/s41430-024-01514-9","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"NUTRITION & DIETETICS","Score":null,"Total":0}
引用次数: 0

Abstract

Objective: This study aimed to compare three objective nutritional screening tools for identifying GLIM-defined malnutrition in patients with gastric cancer (GC).

Method: Objective nutritional screening tools including geriatric nutritional risk index (GNRI), prognostic nutritional index (PNI), and controlling nutritional status (CONUT) score, were evaluated in patients with GC at our institution. Malnutrition was diagnosed according to the GLIM criteria. The diagnostic value of GNRI, PNI, and COUNT scores in identifying GLIM-defined malnutrition was assessed by conducting Receiver Operating Characteristic (ROC) curves and calculating the area under the curve (AUC). Additionally, sensitivity, specificity, accuracy, positive predictive value (PPV), and negative predictive value (NPV) were determined. The Kappa coefficient (k) was used to assess agreement between three objective nutritional screening tools and GLIM criteria.

Results: A total of 316 patients were enrolled in this study, and malnutrition was diagnosed in 151 (47.8%) patients based on the GLIM criteria. The GNRI demonstrated good diagnostic accuracy (AUC = 0.805, 95% CI: 0.758-0.852) for detecting GLIM-defined malnutrition, while the PNI and COUNT score showed poor diagnostic accuracy with AUCs of 0.699 (95% CI: 0.641-0.757) and 0.665 (95% CI: 0.605-0.725) respectively. Among these objective nutritional screening tools, the GNRI-based malnutrition risk assessment demonstrated the highest specificity (80.0%), accuracy (72.8%), PPV (74.8%), NPV (71.4%), and consistency (k = 0.452) with GLIM-defined malnutrition.

Conclusions: Compared to PNI and COUNT scores, GNRI demonstrated superior performance as an objective nutritional screening tool for identifying GLIM-defined malnutrition in GC patients.

比较三种客观营养筛查工具,以确定胃癌患者 GLIM 定义的营养不良情况。
研究目的本研究旨在比较用于识别胃癌(GC)患者 GLIM 定义营养不良的三种客观营养筛查工具:方法:对本院胃癌患者的客观营养筛查工具进行评估,包括老年营养风险指数(GNRI)、预后营养指数(PNI)和控制营养状况(CONUT)评分。营养不良根据 GLIM 标准进行诊断。通过绘制接收者操作特征曲线(ROC)并计算曲线下面积(AUC),评估了 GNRI、PNI 和 COUNT 评分在识别 GLIM 定义的营养不良方面的诊断价值。此外,还确定了敏感性、特异性、准确性、阳性预测值 (PPV) 和阴性预测值 (NPV)。卡帕系数(k)用于评估三种客观营养筛查工具与 GLIM 标准之间的一致性:本研究共纳入 316 名患者,根据 GLIM 标准诊断出 151 名(47.8%)患者营养不良。GNRI 在检测 GLIM 定义的营养不良方面表现出良好的诊断准确性(AUC = 0.805,95% CI:0.758-0.852),而 PNI 和 COUNT 评分的诊断准确性较差,AUC 分别为 0.699(95% CI:0.641-0.757)和 0.665(95% CI:0.605-0.725)。在这些客观营养筛查工具中,基于 GNRI 的营养不良风险评估显示出最高的特异性(80.0%)、准确性(72.8%)、PPV(74.8%)、NPV(71.4%)以及与 GLIM 定义的营养不良的一致性(k = 0.452):结论:与 PNI 和 COUNT 评分相比,GNRI 作为一种客观的营养筛查工具,在识别 GC 患者 GLIM 定义的营养不良方面表现出色。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
CiteScore
10.60
自引率
2.10%
发文量
189
审稿时长
3-6 weeks
期刊介绍: The European Journal of Clinical Nutrition (EJCN) is an international, peer-reviewed journal covering all aspects of human and clinical nutrition. The journal welcomes original research, reviews, case reports and brief communications based on clinical, metabolic and epidemiological studies that describe methodologies, mechanisms, associations and benefits of nutritional interventions for clinical disease and health promotion. Topics of interest include but are not limited to: Nutrition and Health (including climate and ecological aspects) Metabolism & Metabolomics Genomics and personalized strategies in nutrition Nutrition during the early life cycle Health issues and nutrition in the elderly Phenotyping in clinical nutrition Nutrition in acute and chronic diseases The double burden of ''malnutrition'': Under-nutrition and Obesity Prevention of Non Communicable Diseases (NCD)
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信