Dynamic assessment of prealbumin for nutrition support effectiveness in critically ill patients

医学 置信区间 优势比 逻辑回归 转甲状腺素 内科学 病危 重症监护医学
作者
Emmanuel Pardo,Matthieu Jabaudon,Thomas Godet,Bruno Pereira,Dominique Morand,Emmanuel Futier,Gauthier Arpajou,Elena Le Cam,Marie‐Pierre Bonnet,Jean-Michel Constantin
出处
期刊:Clinical Nutrition [Elsevier]
卷期号:43 (6): 1343-1352 被引量:1
标识
DOI:10.1016/j.clnu.2024.04.015
摘要

Background & Aims Serum prealbumin is considered to be a sensitive predictor of clinical outcomes and a quality marker for nutrition support. However, its susceptibility to inflammation restricts its usage in critically ill patients according to current guidelines. We assessed the performance of the initial value of prealbumin and dynamic changes for predicting the ICU mortality and the effectiveness of nutrition support in critically ill patients. Methods This monocentric study included patients admitted to the ICU between 2009-2016, having at least one initial prealbumin value available. Prospectively recorded data were extracted from the electronic ICU charts. We used both univariable and multivariable logistic regressions to estimate the performance of prealbumin for the prediction of ICU mortality. Additionally, the association between prealbumin dynamic changes and nutrition support was assessed via a multivariable linear mixed-effects model and multivariable linear regression. Performing subgroup analysis assisted in identifying patients for whom prealbumin dynamic assessment holds specific relevance. Results We included 3136 patients with a total of 4942 prealbumin levels available. Both prealbumin measured at ICU admission (adjusted odds-ratio (aOR) 0.04, confidence interval (CI) 95% 0.01-0.23) and its change over the first week (aOR 0.02, CI95 0.00-0.19) were negatively associated with ICU mortality. Throughout the entire ICU stay, prealbumin dynamic changes were associated with both cumulative energy (estimate: 33.2, standard error (SE) 0.001, p < 0.01) and protein intakes (1.39, SE 0.001, p<0.01). During the first week of stay, prealbumin change was independently associated with mean energy (6.03e-04, SE 2.32e-04, p<0.01) and protein intakes (1.97e-02, SE 5.91e-03, p<0.01). Notably, the association between prealbumin and energy intake was strongest among older or malnourished patients, those suffering from increased inflammation and those with high disease severity. Finally, prealbumin changes were associated with a positive mean nitrogen balance at day 7 only in patients with SOFA<4 (p=0.047). Conclusion Prealbumin measured at ICU admission and its change during the first-week serve as an accurate predictor of ICU mortality. Prealbumin dynamic assessment may be a reliable tool to estimate the effectiveness of nutrition support in the ICU, especially among high-risk patients.
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
2秒前
yangbing123发布了新的文献求助10
3秒前
乔谷雪发布了新的文献求助10
3秒前
斯文败类应助李新悦采纳,获得10
3秒前
天天快乐应助HY采纳,获得10
4秒前
5秒前
6秒前
牧歌完成签到,获得积分0
6秒前
Ruby发布了新的文献求助20
9秒前
9秒前
Alinf完成签到,获得积分10
10秒前
10秒前
传奇3应助leecarp采纳,获得20
12秒前
12秒前
Qy发布了新的文献求助10
12秒前
13秒前
Umna完成签到,获得积分10
13秒前
贝贝不背发布了新的文献求助10
14秒前
1111完成签到,获得积分10
14秒前
14秒前
科研通AI2S应助VnV采纳,获得10
14秒前
无私的绿蕊完成签到,获得积分10
15秒前
斯文败类应助berlin采纳,获得10
16秒前
yangbing123完成签到,获得积分10
16秒前
FashionBoy应助平常的白猫采纳,获得10
17秒前
Endlessway应助maizhenpeng采纳,获得20
18秒前
李健的粉丝团团长应助CC采纳,获得10
18秒前
18秒前
希望天下0贩的0应助1111采纳,获得10
19秒前
19秒前
Mark发布了新的文献求助30
19秒前
AA完成签到,获得积分10
20秒前
22秒前
22秒前
留胡子的怜容完成签到,获得积分10
22秒前
Mr_Chen发布了新的文献求助10
22秒前
23秒前
23秒前
24秒前
25秒前
高分求助中
Medicina di laboratorio. Logica e patologia clinica 600
A new species of Velataspis (Hemiptera Coccoidea Diaspididae) from tea in Assam 500
Sarcolestes leedsi Lydekker, an ankylosaurian dinosaur from the Middle Jurassic of England 500
Machine Learning for Polymer Informatics 500
《关于整治突出dupin问题的实施意见》(厅字〔2019〕52号) 500
2024 Medicinal Chemistry Reviews 480
Women in Power in Post-Communist Parliaments 450
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3217938
求助须知:如何正确求助?哪些是违规求助? 2867189
关于积分的说明 8154985
捐赠科研通 2533990
什么是DOI,文献DOI怎么找? 1366725
科研通“疑难数据库(出版商)”最低求助积分说明 644865
邀请新用户注册赠送积分活动 617836