AND-ASPEN and ESPEN consensus, and GLIM criteria for malnutrition identification in AECOPD patients: a longitudinal study comparing concurrent and predictive validity

医学 一致性 营养不良 慢性阻塞性肺病 肠外营养 临床营养学 前瞻性队列研究 体质指数 内科学 重症监护医学 儿科
作者
Bruna Espíndola de Araújo,Veronnike Hossa Kowalski,Giovana Molon Leites,Jaqueline da Silva Fink,Flávia Moraes Silva
出处
期刊:European Journal of Clinical Nutrition [Springer Nature]
卷期号:76 (5): 685-692 被引量:15
标识
DOI:10.1038/s41430-021-01025-x
摘要

BACKGROUND/OBJECTIVES Malnutrition in chronic obstructive pulmonary disease (COPD) patients is prevalent and usually assessed by body mass index (BMI), which can lead to misdiagnosis. The subjective global assessment (SGA) is the reference method for this diagnose in hospitalized patients. In the last decade, new tools have emerged Academy of Nutrition and Dietetics-American Society for Parenteral and Enteral Nutrition [AND-ASPEN], European Society for Clinical Nutrition and Metabolism [ESPEN], and Global Leadership Initiative on Malnutrition [GLIM]). Therefore, this study aimed to assess the concurrent and predictive validity of these tools in acute exacerbated COPD (AECOPD) patients. SUBJECTS/METHODS Prospective cohort study with hospitalized AECOPD patients. Malnutrition was diagnosed by SGA (reference method), AND-ASPEN, ESPEN, and GLIM consensus. Hospital length of stay (LOS) and mortality were the outcomes evaluated. RESULTS In 241 patients (46.5% males; 68.3 ± 10.2 years), malnutrition was found in 50.0% by SGA, 54.4% by AND-ASPEN, 20.2% by ESPEN, and 47.8% by GLIM. AND-ASPEN had the best accuracy (AUC = 0.837; 95% CI 0.783-0.841) and concordance (kappa = 0.674) with SGA and it was an independent predictor of prolonged LOS (OR = 1.73; 95% CI 1.01-3.37). ESPEN consensus did not agree with SGA, but was associated with prolonged LOS (OR = 2.57 95% CI, 1.27-5.20). The GLIM had good concordance (kappa = 0.533) and accuracy with SGA (AUC = 0.768; 95% CI 0.701-0.835), but was not associated with outcomes. CONCLUSIONS The AND-ASPEN was the most accurate tool for diagnosing malnutrition in AECOPD patients and was an independent predictor of prolonged LOS.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
大幅提高文件上传限制,最高150M (2024-4-1)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
1秒前
1秒前
黎明应助科研通管家采纳,获得30
1秒前
赘婿应助科研通管家采纳,获得10
2秒前
今后应助科研通管家采纳,获得10
2秒前
黎明应助科研通管家采纳,获得30
2秒前
Lucas应助科研通管家采纳,获得10
2秒前
所所应助科研通管家采纳,获得10
2秒前
王云云完成签到 ,获得积分10
2秒前
Jasper应助科研通管家采纳,获得10
2秒前
2秒前
awaw完成签到 ,获得积分10
2秒前
桐桐应助轻松的听荷采纳,获得10
3秒前
一条淡水鱼应助车剑锋采纳,获得10
4秒前
1376发布了新的文献求助10
4秒前
今后应助DullElm采纳,获得10
5秒前
6秒前
非鱼发布了新的文献求助10
6秒前
白柏发布了新的文献求助15
7秒前
7秒前
ddl完成签到,获得积分10
7秒前
8秒前
Hao应助初夏采纳,获得10
11秒前
11秒前
我是老大应助实验老六采纳,获得10
11秒前
12秒前
HH0129完成签到,获得积分10
13秒前
深情含雁完成签到,获得积分10
14秒前
14秒前
在水一方应助wanvdphelys采纳,获得10
15秒前
Orange应助息衍007采纳,获得10
15秒前
星辰大海应助小豪采纳,获得10
16秒前
小高完成签到,获得积分10
18秒前
Xhh发布了新的文献求助10
18秒前
在水一方应助息衍007采纳,获得10
19秒前
20秒前
jjj完成签到,获得积分10
22秒前
华仔应助息衍007采纳,获得10
22秒前
闪闪的项链完成签到,获得积分20
22秒前
SciGPT应助fenghp采纳,获得10
24秒前
高分求助中
【本贴是提醒信息,请勿应助】请在求助之前详细阅读求助说明!!!! 20000
comprehensive molecular insect science 1000
One Man Talking: Selected Essays of Shao Xunmei, 1929–1939 1000
The Three Stars Each: The Astrolabes and Related Texts 900
Yuwu Song, Biographical Dictionary of the People's Republic of China 800
Multifunctional Agriculture, A New Paradigm for European Agriculture and Rural Development 600
Challenges, Strategies, and Resiliency in Disaster and Risk Management 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 有机化学 工程类 生物化学 纳米技术 物理 内科学 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 电极 光电子学 量子力学
热门帖子
关注 科研通微信公众号,转发送积分 2481528
求助须知:如何正确求助?哪些是违规求助? 2144233
关于积分的说明 5468925
捐赠科研通 1866744
什么是DOI,文献DOI怎么找? 927751
版权声明 563039
科研通“疑难数据库(出版商)”最低求助积分说明 496382