Association between prealbumin, all‐cause mortality, and response to nutrition treatment in patients at nutrition risk: Secondary analysis of a randomized controlled trial

医学 危险系数 转甲状腺素 内科学 随机对照试验 肠外营养 队列 死亡风险 置信区间
作者
C. Bretscher,Michelle Buergin,Gianna Gurzeler,Nina Kaegi-Braun,Carla Wunderle,Pascal Tribolet,Dileep N. Lobo,David C. Evans,Zeno Stanga,Beat Müeller,Philipp Schüetz
出处
期刊:Journal of Parenteral and Enteral Nutrition [Wiley]
卷期号:47 (3): 408-419 被引量:28
标识
DOI:10.1002/jpen.2470
摘要

Abstract Background Because of the shorter half‐life as compared with albumin, serum prealbumin concentrations have been proposed to be useful nutrition biomarkers for the assessment of patients at nutrition risk. In a post hoc analysis of patients at nutrition risk from a randomized controlled nutrition trial, we tested the hypothesis that (1) prealbumin is associated with higher all‐cause 180‐day mortality rates and that (2) individualized nutrition support compared with usual‐care nutrition more effectively improves survival at 30 days in patients with low prealbumin levels compared with patients with normal prealbumin levels. Methods We performed a prespecified cohort study in patients included in the pragmatic, Swiss, multicenter randomized controlled EFFORT trial comparing the effects of individualized nutrition support with usual care. We studied low prealbumin concentrations (<0.17 g/L) in a subgroup of 517 patients from one participating center. Results A total of 306 (59.2%) patients (mean age 71.9 years, 53.6% men) had low admission prealbumin levels (<0.17 g/L). There was a significant association between low prealbumin levels and mortality at 180 days (115/306 [37.6%] vs 47/211 [22.3%], fully adjusted hazard ratio [HR]=1.59, 95% CI 1.11–2.28; P = 0.011). Prealbumin levels significantly improved the prognostic value of the Nutritional Risk Screening total score regarding mortality prediction at short‐ and long‐term. The difference in mortality between patients receiving individualized nutrition support and usual‐care nutrition was similar for patients with low prealbumin levels compared with patients with normal prealbumin levels (HR=0.90 [95% CI=0.51–1.59] vs HR=0.88 [95% CI=0.35–2.23]) with no evidence for interaction ( P = 0.823). Conclusion Among medical inpatients at nutrition risk, low admission prealbumin levels correlated with different nutrition markers and higher mortality risk, but patients with low or high prealbumin levels had a similar benefit from nutrition support. Further studies should identify nutrition markers that help further personalize nutrition interventions.
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