Higher Versus Lower Protein Delivery in Critically Ill Patients: A Systematic Review and Bayesian Meta-Analysis

被引:4
作者
Heuts, Samuel [1 ,2 ]
Lee, Zheng-Yii [3 ,4 ,5 ]
Lew, Charles Chin Han [6 ,7 ]
Bels, Julia L. M. [8 ]
Gabrio, Andrea [9 ]
Kawczynski, Michal J. [1 ,2 ]
Heyland, Daren K. [10 ]
Summers, Matthew J. [11 ]
Deane, Adam M. [12 ]
Mesotten, Dieter [13 ,14 ]
Chapple, Lee-anne S. [11 ]
Stoppe, Christian [4 ,5 ,15 ]
van de Poll, Marcel C. G. [8 ,16 ]
机构
[1] Maastricht Univ, Med Ctr, Dept Cardiothorac Surg, Maastricht, Netherlands
[2] Maastricht Univ, Cardiovasc Res Inst Maastricht, Maastricht, Netherlands
[3] Univ Malaya, Fac Med, Dept Anaesthesiol, Kuala Lumpur, Malaysia
[4] Charite, Dept Cardiac Anesthesiol & Intens Care Med, Berlin, Germany
[5] Charite, Intens Care Med, Berlin, Germany
[6] Ng Teng Fong Gen Hosp, Dept Dietet & Nutr, Singapore, Singapore
[7] Singapore Inst Technol, Fac Hlth & Social Sci, Singapore, Singapore
[8] Maastricht Univ, Med Ctr, Dept Intens Care Med, Maastricht, Netherlands
[9] Maastricht Univ, Dept Methodol & Stat, Maastricht, Netherlands
[10] Queens Univ, Dept Crit Care Med, Clin Evaluat Res Unit, Kingston, ON, Canada
[11] Royal Adelaide Hosp, Intens Care Unit, Adelaide, SA, Australia
[12] Univ Melbourne, Dept Crit Care, Parkville, VIC, Australia
[13] Ziekenhuis Oost Limburg, Dept Intens Care Med, Genk, Limburg, Belgium
[14] UHasselt, Fac Med & Life Sci, Diepenbeek, Belgium
[15] Univ Hosp Wurzburg, Dept Anaesthesiol Intens Care Emergency & Pain Med, Intens Care Emergency & Pain Med, Wurzburg, Germany
[16] Maastricht Univ, Sch Nutr & Translat Res Metab, Maastricht, Netherlands
关键词
Bayesian statistical methodology; critical illness; meta-analysis; nutrition; protein; randomized controlled trials; INTENSIVE-CARE-UNIT; ENTERAL NUTRITION; CLINICAL-TRIALS; THERAPY; FORMULA; IMPACT;
D O I
10.1097/CCM.0000000000006562
中图分类号
R4 [临床医学];
学科分类号
1002 ; 100602 ;
摘要
OBJECTIVES:Recent multicenter trials suggest that higher protein delivery may result in worse outcomes in critically ill patients, but uncertainty remains. An updated Bayesian meta-analysis of recent evidence was conducted to estimate the probabilities of beneficial and harmful treatment effects. DATA SOURCES:An updated systematic search was performed in three databases until September 4, 2024. The study adhered to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses 2020 guidelines and the protocol was preregistered in PROSPERO (CRD42024546387). STUDY SELECTION:Randomized controlled trials that studied adult critically ill patients comparing protein doses delivered enterally and/or parenterally with similar energy delivery between groups were included. DATA EXTRACTION:Data extraction was performed by two authors independently, using a predefined worksheet. The primary outcome was mortality. Posterior probabilities of any benefit (relative risk [RR] < 1.00) or harm (RR > 1.00) and other important beneficial and harmful effect size thresholds were estimated. Risk of bias assessment was performed using the risk of bias 2.0 tool. All analyses were performed using a Bayesian hierarchical random-effects models, under vague priors. DATA SYNTHESIS:Twenty-two randomized trials (n = 4164 patients) were included. The mean protein delivery in the higher and lower protein groups was 1.5 +/- 0.6 vs. 0.9 +/- 0.4 g/kg/d. The median RR for mortality was 1.01 (95% credible interval, 0.84-1.16). The posterior probability of any mortality benefit from higher protein delivery was 43.6%, while the probability of any harm was 56.4%. The probabilities of a 1% (RR < 0.99) and 5% (RR < 0.95) mortality reduction by higher protein delivery were 38.7% and 22.9%, respectively. Conversely, the probabilities of a 1% (RR > 1.01) and 5% (RR > 1.05) mortality increase were 51.5% and 32.4%, respectively. CONCLUSIONS:There is a considerable probability of an increased mortality risk with higher protein delivery in critically ill patients, although a clinically beneficial effect cannot be completely eliminated based on the current data.
引用
收藏
页码:e645 / e655
页数:11
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