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Comment
. 2021 Aug 1;49(8):e804-e805.
doi: 10.1097/CCM.0000000000005082.

The authors reply

Pei Chien Tah  1   2 , Zheng-Yii Lee  1 , Bee Koon Poh  3 , Hazreen Abdul Majid  4   5 , Vineya-Rai Hakumat-Rai  6 , Mohd Basri Mat Nor  7 , Chee Cheong Kee  8 , Mazuin Kamarul Zaman  9 , M Shahnaz Hasan  1
Affiliations
Comment

The authors reply

Pei Chien Tah et al. Crit Care Med. .
No abstract available

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Conflict of interest statement

Drs. Tah’s, Abdul Majid’s, and Hasan’s institutions received funding from a grant from the Ministry of Education Malaysia, Fundamental Research Grant Scheme (FRGS) FRGS/1/2018/SKK02/ UM/02/3 with project code FP003-2018A. Dr. Poh’s institution received funding from the International Development Research Centre, Canada, FrieslandCampina, the International Atomic Energy Agency, the International Glutamate Technical Committee, the United Kingdom Medical Research Council (Newton-Ungku Omar Fund and Newton Fund Impact Scheme), and the Malaysian Industry Government Group for High Technology. Drs. Nor and Kee received support for article research from the government. The remaining authors have disclosed that they do not have any potential conflicts of interest.

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References

    1. Honore PM, Redant S, Kaefer K, et al.: Although None of the Resting Energy Expenditure Calculated From Predictive Equations Had Very Good Agreements, the Swinamer Equation Could Be Used to Predict Resting Energy Expenditure When Indirect Calorimetry Is Not Available: We Are Not Sure!. Crit Care Med. 2020; 49:e804–e805
    1. Tah PC, Lee ZY, Poh BK, et al.: A single-center prospective observational study comparing resting energy expenditure in different phases of critical illness: Indirect calorimetry versus predictive equations. Crit Care Med. 2020; 48:e380–e390
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    1. De Waele E, Spapen H, Honoré PM, et al.: Introducing a new generation indirect calorimeter for estimating energy requirements in adult intensive care unit patients: Feasibility, practical considerations, and comparison with a mathematical equation. J Crit Care. 2013; 28:884.e1–884.e6

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