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 BV]
卷期号:43 (6): 1343-1352 被引量:7
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.
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