Evidence map›Paper›PMID 42754897›Full record

ArticleCritical care (London, England)2026

Personalised energy targeting during venovenous ECMO: serial assessment of resting energy expenditure reveals phase-dependent metabolic demand and systematic discordance with predictive equations.

Sarah K Wilke, Niklas Behnel, Steffen Weber-Carstens, Andreas Edel, Michael Müller, Arne Mahlau, Robert Falk, Martin Ruß, Tobias Wollersheim

Abstract read
In one paragraph

Article in Critical care (London, England), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Sarah K Wilke *Department of Anesthesiology and Operative Intensive Care Medicine (CCM/CVK), Charité - Universitätsmedizin Berlin, Freie Universität Berlin and Humboldt-Universität zu Berlin, Augustenburger Platz 1, 13353, Berlin, Germany.ORCID http://orcid.org/0009-0009-9550-8934
Niklas Behnel *Department of Anesthesiology and Operative Intensive Care Medicine (CCM/CVK), Charité - Universitätsmedizin Berlin, Freie Universität Berlin and Humboldt-Universität zu Berlin, Augustenburger Platz 1, 13353, Berlin, Germany.ORCID http://orcid.org/0000-0002-3043-0672
Steffen Weber-CarstensDepartment of Anesthesiology and Operative Intensive Care Medicine (CCM/CVK), Charité - Universitätsmedizin Berlin, Freie Universität Berlin and Humboldt-Universität zu Berlin, Augustenburger Platz 1, 13353, Berlin, Germany.ORCID http://orcid.org/0000-0001-7405-0172
Andreas EdelDepartment of Anesthesiology and Operative Intensive Care Medicine (CCM/CVK), Charité - Universitätsmedizin Berlin, Freie Universität Berlin and Humboldt-Universität zu Berlin, Augustenburger Platz 1, 13353, Berlin, Germany.ORCID http://orcid.org/0000-0002-9951-7223
Michael MüllerDepartment of Anesthesiology and Operative Intensive Care Medicine (CCM/CVK), Charité - Universitätsmedizin Berlin, Freie Universität Berlin and Humboldt-Universität zu Berlin, Augustenburger Platz 1, 13353, Berlin, Germany.ORCID http://orcid.org/0000-0001-7246-3774
Arne MahlauDepartment of Anesthesiology and Operative Intensive Care Medicine (CCM/CVK), Charité - Universitätsmedizin Berlin, Freie Universität Berlin and Humboldt-Universität zu Berlin, Augustenburger Platz 1, 13353, Berlin, Germany.
Robert FalkDepartment of Anesthesiology and Operative Intensive Care Medicine (CCM/CVK), Charité - Universitätsmedizin Berlin, Freie Universität Berlin and Humboldt-Universität zu Berlin, Augustenburger Platz 1, 13353, Berlin, Germany.
Martin RußDepartment of Anesthesiology and Operative Intensive Care Medicine (CCM/CVK), Charité - Universitätsmedizin Berlin, Freie Universität Berlin and Humboldt-Universität zu Berlin, Augustenburger Platz 1, 13353, Berlin, Germany.ORCID http://orcid.org/0000-0003-4719-2452
Tobias WollersheimDepartment of Anesthesiology and Operative Intensive Care Medicine (CCM/CVK), Charité - Universitätsmedizin Berlin, Freie Universität Berlin and Humboldt-Universität zu Berlin, Augustenburger Platz 1, 13353, Berlin, Germany. tobias.wollersheim@charite.de.ORCID http://orcid.org/0000-0002-3170-0996

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn patients receiving extracorporeal membrane oxygenation (ECMO), metabolic demand varies dynamically across the disease course, while conventional indirect calorimetry in ECMO patients underestimates measured energy expenditure (measured EE) because a substantial proportion of gas exchange occurs across the membrane lung. Specialised protocols can overcome this limitation and measure EE directly during ECMO. However, no adult study has yet compared serial measured EE measurements with concurrent energy intake to assess feeding equipoise or to quantify the temporal variability that personalised nutrition must address.

methodsPost-hoc analysis of prospectively collected data from 9 adult patients receiving venovenous ECMO for acute respiratory distress syndrome at Charité - Universitätsmedizin Berlin. Measured-EE was assessed using the MEEP protocol (75 valid measurements). Feeding equipoise was assessed as the ratio of actual energy intake to measured EE (equipoise: 80-110%). Discordance analysis compared measurement-based classification with hypothetical ESPEN-guided nutrition (25 kcal/kg/day) using adjusted body weight (primary) and actual body weight (sensitivity analysis).

resultsMedian measured EE was 1923 kcal/day (interquartile range, 1594-2222). The ECMO circuit accounted for 60.5% ± 18.2% of total gas exchange. Feeding equipoise was achieved on only 30 of 75 measurement days (40%); patients were overfed on 44% and underfed on 16%. ESPEN 25 kcal/kg/day with adjusted body weight misclassified feeding equipoise on 55% of days (concordance 45%); actual body weight yielded concordance of 49%. The respiratory quotient (0.908 ± 0.131) did not correlate with the feeding ratio (ρ = 0.024).

conclusionBoth actual feeding practice and standard predictive equations failed to match measured energy requirements regardless of body weight choice. The substantial intra-individual measured EE variability and the progressive decline in extracorporeal gas exchange contribution support a phase-specific, personalised approach guided by serial assessment of measured EE rather than static weight-based targets.

Indexed as

Energy MetabolismExtracorporeal Membrane OxygenationAdultBasal MetabolismCalorimetry, IndirectEnergy IntakeFemaleGermanyHumansMaleMiddle AgedProspective StudiesCalorimetry, IndirectCritical careEnergy metabolismExtracorporeal membrane oxygenationNutritional status

Identifiers

PMID42754897
PMCPMC13584369

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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.