2022
DOI: 10.1186/s13054-021-03870-5
|View full text |Cite
|
Sign up to set email alerts
|

Protein intake and outcome of critically ill patients: analysis of a large international database using piece-wise exponential additive mixed models

Abstract: Background Proteins are an essential part of medical nutrition therapy in critically ill patients. Guidelines almost universally recommend a high protein intake without robust evidence supporting its use. Methods Using a large international database, we modelled associations between the hazard rate of in-hospital death and live hospital discharge (competing risks) and three categories of protein intake (low: < 0.8 g/kg per day, standard: 0.8–1.2… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
13
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
8
1

Relationship

2
7

Authors

Journals

citations
Cited by 32 publications
(13 citation statements)
references
References 46 publications
0
13
0
Order By: Relevance
“…We first used piece-wise exponential additive mixed models (PAMMs) [14][15][16] to estimate the association of subject-specific longitudinal profiles of either TWA-PaO 2 or TWA-FiO 2 with 28-day mortality. PAMMs allow one to examine the time-varying effect of a time-varying exposure (time-varying TWA-PaO 2 or TWA-FiO 2 in the present study) on a time-to-event outcome (Additional file 1).…”
Section: Discussionmentioning
confidence: 99%
“…We first used piece-wise exponential additive mixed models (PAMMs) [14][15][16] to estimate the association of subject-specific longitudinal profiles of either TWA-PaO 2 or TWA-FiO 2 with 28-day mortality. PAMMs allow one to examine the time-varying effect of a time-varying exposure (time-varying TWA-PaO 2 or TWA-FiO 2 in the present study) on a time-to-event outcome (Additional file 1).…”
Section: Discussionmentioning
confidence: 99%
“…To our knowledge, this is one of the largest prospective studies providing real-world evidence about nutrition and its associations with clinical outcomes in a mixed population of critically ill adult patients treated in European ICUs during a minimum ICU LOS of 5 days. Associations were assessed using a novel combination of established statistical techniques which considered time dependency of medical nutrition therapy effects, and interferences from confounding by indication [ 22 , 23 ].…”
Section: Discussionmentioning
confidence: 99%
“…Finally, a bias might arise from including patients in our analysis up to a BMI of 45 kg/m 2 . According to recent results, however, associations between hypothetical diets and outcomes in patients with a BMI > 30 kg/m 2 are qualitatively comparable to those with a lower BMI [ 23 ].…”
Section: Discussionmentioning
confidence: 99%
“…Of note, a recent large posthoc analysis of observational data evaluated 16 489 patients to determine associations between protein intake and in-hospital mortality and alive hospital discharge using an advanced cox regression model based on simulated feeding strategies. This posthoc reported that late (days 5–11) standard protein intake (0.8–1.2 g/kg/day) was associated with a lower hazard of in-hospital mortality (minimum 0.75 (95% confidence interval [CI] 0.64–0.87)) and a higher hazard of alive hospital discharge (maximum HR 1.98 (95% CI 1.72–2.28)) when compared to a low protein diet, while an earlier (days 1–11) standard or high protein intake was not associated with further improvement in outcome [11 ▪▪ ]. Although a number of noninterventional studies report conflicting impacts of augmented protein on outcomes [12 ▪▪ ,13 ▪ ,14], few randomized controlled trials (RCTs) have been conducted.…”
Section: Protein and Outcomesmentioning
confidence: 96%