Evidence map›Paper›PMID 35012618›Full record

ArticleCritical care (London, England)2022

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

Wolfgang H Hartl, Philipp Kopper, Andreas Bender, Fabian Scheipl, Andrew G Day, Gunnar Elke, Helmut Küchenhoff

Open access · goldAbstract read
In one paragraph

Article in Critical care (London, England), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 2 pooled it
6.0field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

20 citing papers in PubMed, 2 syntheses or guidelines pooled it, 56 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 4 institutions in 2 countries.

Wolfgang H Hartl *Department of General, Visceral, and Transplantation Surgery, University Medical Center, Campus Grosshadern, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany. whartl@med.uni-muenchen.de.ORCID http://orcid.org/0000-0002-4099-0366
Philipp Kopper *Statistical Consulting Unit, StaBLab, Department of Statistics, LMU Munich, Munich, Germany.
Andreas BenderStatistical Consulting Unit, StaBLab, Department of Statistics, LMU Munich, Munich, Germany.
Fabian ScheiplWorkgroup of Functional Data Analysis, Department of Statistics, LMU Munich, Munich, Germany.
Andrew G DayClinical Evaluation Research Unit, Kingston Health Sciences Centre, Kingston, ON, Canada.
Gunnar ElkeDepartment of Anaesthesiology and Intensive Care Medicine, University Medical Center Schleswig-Holstein, Campus Kiel, Kiel, Germany.ORCID http://orcid.org/0000-0002-4948-1605
Helmut KüchenhoffStatistical Consulting Unit, StaBLab, Department of Statistics, LMU Munich, Munich, Germany.
Statistisches Bundesamt · DEClinical Evaluation Research Unit · CALMU Klinikum · DELudwig-Maximilians-Universität München · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundProteins 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.

methodsUsing 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 g/kg per day, high: > 1.2 g/kg per day) during the first 11 days after ICU admission (acute phase). Time-varying cause-specific hazard ratios (HR) were calculated from piece-wise exponential additive mixed models. We used the estimated model to compare five different hypothetical protein diets (an exclusively low protein diet, a standard protein diet administered early (day 1 to 4) or late (day 5 to 11) after ICU admission, and an early or late high protein diet).

resultsOf 21,100 critically ill patients in the database, 16,489 fulfilled inclusion criteria for the analysis. By day 60, 11,360 (68.9%) patients had been discharged from hospital, 4,192 patients (25.4%) had died in hospital, and 937 patients (5.7%) were still hospitalized. Median daily low protein intake was 0.49 g/kg [IQR 0.27-0.66], standard intake 0.99 g/kg [IQR 0.89- 1.09], and high intake 1.41 g/kg [IQR 1.29-1.60]. In comparison with an exclusively low protein diet, a late standard protein diet was associated with a lower hazard of in-hospital death: minimum 0.75 (95% CI 0.64, 0.87), and a higher hazard of live hospital discharge: maximum HR 1.98 (95% CI 1.72, 2.28). Results on hospital discharge, however, were qualitatively changed by a sensitivity analysis. There was no evidence that an early standard or a high protein intake during the acute phase was associated with a further improvement of outcome.

conclusionsProvision of a standard protein intake during the late acute phase may improve outcome compared to an exclusively low protein diet. In unselected critically ill patients, clinical outcome may not be improved by a high protein intake during the acute phase. Study registration ID number ISRCTN17829198.

Indexed as

Critical IllnessNutrition TherapyDatabases, FactualHospital MortalityHumansIntensive Care UnitsCritical careNutritionProtein supplySurvival

Identifiers

PMID35012618
PMCPMC8751086
OpenAlexW4205811462

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.