Evidence map›Paper›PMID 34620338›Full record

ArticleClinical nutrition ESPEN2021

Prolonged progressive hypermetabolism during COVID-19 hospitalization undetected by common predictive energy equations.

Laura E Niederer, Hilary Miller, Krista L Haines, Jeroen Molinger, John Whittle, David B MacLeod, Stephen A McClave, Paul E Wischmeyer

2 registry-linked trialsOpen access · hybridAbstract read
In one paragraph

Article in Clinical nutrition ESPEN, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
4.5field-weighted citation impact, top 5% 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.

NCT06244381 completednot on this mapstarted 2024, after this paper: background citation

NUTRITIONAL OPTIMIZATION IN THE DIFFERENT PHASES OF CRITICAL ILLNESS. Comparison of the Urea/Creatinine Ratio With Indirect Calorimetry.

TypeobservationalSponsorHospital Sao DomingosRan2024 to 2024Enrolled20ConditionsCritically Ill
NCT07412366 not yet recruitingnot on this mapstarted 2026, after this paper: background citation

Urea-to-Creatinine Ratio as a Marker of Metabolic Transition in Septic Shock: A Comparison With Indirect Calorimetry

Typeobservational_patient_registrySponsorHospital Sao DomingosRan2026 to 2027Enrolled40ConditionsSeptic Shock
3 · Its place in the literature

Who cites it

23 citing papers in PubMed, 52 citations in OpenAlex.

  1. Trial
  2. Observational
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  16. COVID, the Gut, and Nutritional Implications.Current surgery reports · 2023
    Review
  17. Article
  18. Impact of malnutrition on clinical outcomes in patients diagnosed with COVID-19.JPEN. Journal of parenteral and enteral nutrition · 2022
    Article
  19. Article
  20. Energy requirements for critically ill patients with COVID-19.Nutrition in clinical practice : official publication of the American Society for Parenteral and Enteral Nutrition · 2022
    Review
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

8 authors at 3 institutions in 2 countries.

Laura E NiedererDuke Office of Clinical Research, Duke University School of Medicine, Durham, NC, USA; Duke Nutrition Services, Duke University Hospital, Durham, NC, USA.
Hilary MillerDuke Office of Clinical Research, Duke University School of Medicine, Durham, NC, USA; Duke Nutrition Services, Duke University Hospital, Durham, NC, USA.
Krista L HainesDepartment of Surgery, Division of Trauma Critical Care, and Acute Care Surgery, Duke University School of Medicine, Durham, NC, USA.
Jeroen MolingerDepartment of Anesthesiology, Duke University School of Medicine, Division of Critical Care, Durham, NC, USA.
John WhittleCentre for Perioperative Medicine, Division of Surgery & Interventional Science, University College London, London, UK.
David B MacLeodDepartment of Anesthesiology, Duke University School of Medicine, Division of Critical Care, Durham, NC, USA.
Stephen A McClaveDepartment of Medicine, University of Louisville School of Medicine, Louisville, KY, USA.
Paul E WischmeyerDepartment of Anesthesiology, Duke University School of Medicine, Division of Critical Care, Durham, NC, USA. Electronic address: paul.wischmeyer@duke.edu.
Duke University · USUniversity College London · GBUniversity of Louisville · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND &

aimsIndirect calorimetry (IC) is the gold-standard for determining measured resting energy expenditure (mREE) in critical illness. When IC is not available, predicted resting energy expenditure (pREE) equations are commonly utilized, which often inaccurately predict metabolic demands leading to over- or under-feeding. This study aims to longitudinally assess mREE via IC in critically ill patients with SARS-CoV-2 (COVID-19) infection throughout the entirety of, often prolonged, intensive care unit (ICU) stays and compare mREE to commonly utilized pREE equations.

methodsThis single-center prospective cohort study of 38 mechanically ventilated COVID-19 patients from April 1, 2020 to February 1, 2021. The Q-NRG® Metabolic Monitor was used to obtain IC data. The Harris-Benedict (HB), Mifflin St-Jeor (MSJ), Penn State University (PSU), and weight-based equations from the American Society of Parenteral and Enteral Nutrition - Society of Critical Care Medicine (ASPEN-SCCM) Clinical Guidelines were utilized to assess the accuracy of common pREE equations and their ability to predict hypo/hypermetabolism in COVID-19 ICU patients.

resultsThe IC measures collected revealed a relatively normometabolic or minimally hypermetabolic mREE at 21.3 kcal/kg/d or 110% of predicted by the HB equation over the first week of mechanical ventilation (MV). This progressed to significant and uniquely prolonged hypermetabolism over successive weeks to 28.1 kcal/kg/d or 143% of HB predicted by MV week 3, with hypermetabolism persisting to MV week 7. Obese individuals displayed a more truncated response with significantly lower mREE versus non-obese patients in MV week 1 (19.5 ± 1.0 kcal/kg/d vs 25.1 ± 1.8 kcal/kg/d, respectively; p < 0.01), with little change in weeks 2-3 (19.5 ± 1.5 kcal/kg/d vs 28.0 ± 2.0 kcal/kg/d; p < 0.01). Both ASPEN-SCCM upper range and PSU pREE equations provided close approximations of mREE yet, like all pREE equations, occasionally over- and under-predicted energy needs and typically did not predict late hypermetabolism.

conclusionsStudy results show a truly unique metabolic response in COVID-19 ICU patients, characterized by significant and prolonged, progressive hypermetabolism peaking at 3 weeks' post-intubation, persisting for up to 7 weeks in ICU. This pattern was more clearly demonstrated in non-obese versus obese patients. This response is unique and distinct from any previously described model of ICU stress response in its prolonged hypermetabolic nature. This data reaffirms the need for routine, longitudinal IC measures to provide accurate energy targets in COVID-19 ICU patients. The PSU and ASPEN-SCCM equations appear to yield the most reasonable estimation to IC-derived mREE in COVID-19 ICU patients, yet still often over-/under-predict energy needs. These findings provide a practical guide for caloric prescription in COVID-19 ICU patients in the absence of IC.

Indexed as

COVID-19Calorimetry, IndirectHospitalizationHumansProspective StudiesSARS-CoV-2United StatesCritical careEnergy expenditureIndirect calorimetryIntensive care unitNutrition statusSARS-CoV-2

Identifiers

PMID34620338
PMCPMC8328525
OpenAlexW3187762730

What OpenQuestion holds

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Registered trials

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.