key: cord-0950502-alcwwqms authors: Hurtado‐Torres, Gilberto Fabian title: Indirect Calorimetry in Critically Ill Patients With COVID‐19: More Questions Than Answers date: 2020-12-16 journal: JPEN J Parenter Enteral Nutr DOI: 10.1002/jpen.2054 sha: d41f05be15fda1e15072294055d65799f83ced58 doc_id: 950502 cord_uid: alcwwqms nan .1002/jpen. 2054 Yu et al describe the resting energy expenditure in critically ill patients with coronavirus disease 2019 (COVID-19), 1 and all patients were under mechanical ventilation and sedated. Physiological variables are not provided; nevertheless, one can assume that as the patients were in the critical care unit, multiorgan failures could have been present. It will be interesting to know critical condition scores to give an idea about the multisystem compromise and to extrapolate the hypermetabolism described to other COVID-19 critical care units. Respiratory quotients (RQs) are not provided, and information about the metabolic state is lacking. Information about feeding regimens or fed state, sedative drugs, and muscular relaxants would be important as main resting energy expenditure determinants. Calculating RQs carbon dioxide production (VCO 2 )/oxygen consumption (VO 2 ), I underscore the results (Table 1) as follows: RQ is 0.7 in 3 patients, which means (at last theoretically) that metabolically the patients were in a fasting state with consequent ketogenesis and gluconeogenesis, 2-6 or else one would speculate that if sedative drugs received are mainly based in propofol, low RQ is the reflection of its exclusively lipid content oxidation. Just 1 patient has an RQ suggestive of mixedsubstrate oxidation (0.82). 2, 4 Noticeably, 3 patients had RQs <0.7, with 2 patients´values extremely outside of physiologic human RQs (patients 6 and 7). In physiologic conditions, the lowest RQ derived from lipid oxidation is 0.707, and the lowest RQ possible in humans is 0.67 from ethanol oxidation. 4,5 There is not a clear explication for such low RQ values in the population analyzed by Yu et al. MClave et al described RQ limitations to truly reflect substrate oxidation, 4 but in the clinical condition described by Yu et al, with extremely low RQs 0.62 and 0.64 (the lowest from the RQ expected by fasting), one would wonder about indirect calorimetry device calibration errors or the presence of technical conditions that can alter indirect calorimetry results, 2 such as air leaks, hypoventilation, or the use of β-blockers. 7 The knowledge provided by Yu et al opens the opportunity to explore the fine metabolic conditions of critically ill patients with COVID-19, which are still widely unknown, and offers the basis for the generation of interesting metabolic hypotheses, such as supra physiological VO 2 and VCO 2 that need to be explored. Hypermetabolism and coronavirus disease Financial disclosure: Not declared. Conflicts of interest: Not declared The theoretical framework of indirect calorimetry and energy balance The measurement of energy expenditure Clinical use of the respiratory quotient obtained from indirect calorimetry Assessment of energy expenditure and fuel utilization in man Analysis of the oxidation of mixtures of carbohydrate and fat. A correction Indirect calorimetry: The 6 main issues