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Journal of Parenteral and Enteral Nutrition
Article . 2020 . Peer-reviewed
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Hypermetabolism and Coronavirus Disease 2019

Authors: Yu, Pey‐Jen; Cassiere, Hugh; DeRosa, Sarah; Bocchieri, Karl; Yar, Shiraz; Hartman, Alan;

Hypermetabolism and Coronavirus Disease 2019

Abstract

AbstractBackgroundHypermetabolism has been described in stress states such as trauma, sepsis, acute respiratory distress syndrome, and severe burn injuries. We hypothesize that patients with Coronavirus disease 2019 (COVID‐19) may develop a hypermetabolic state, which may be a major contributing factor to the extraordinary ventilatory and oxygenation demands in patients with COVID‐19.MethodResting energy expenditure (REE), carbon dioxide production (VCO2), and oxygen consumption (VO2) were measured by indirect calorimetry on 7 critically ill patients with COVID‐19.ResultsThe median measured REE was 4044 kcal/d, which was 235.7% ± 51.7% of predicted. The median VCO2 was 452 mL/min (range, 295–582 mL/min), and the median VO2 was 585 mL/min (range, 416–798 mL/min).ConclusionCritically ill patients with COVID‐19 are in an extreme hypermetabolic state. This may explain the high failure rates for mechanical ventilation for these patients and highlights the potential need for increased nutrition requirements for such patients.

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Keywords

Adult, Respiratory Distress Syndrome, Nutrition and Dietetics, SARS-CoV-2, Critical Illness, Rest, Nutritional Requirements, Medicine (miscellaneous), COVID-19, Calorimetry, Indirect, Carbon Dioxide, Respiration, Artificial, Oxygen Consumption, Humans, Basal Metabolism, Energy Metabolism

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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
45
Top 10%
Top 10%
Top 1%
hybrid