Using Indirect Calorimetry for Liver Transplants Patients
NCT ID: NCT03622268
Last Updated: 2018-08-09
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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COMPLETED
50 participants
OBSERVATIONAL
2017-12-01
2018-08-01
Brief Summary
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Therefore, precise measurements using indirect calorimetry may be helpful when treating critically ill patients to avoid underestimating or overestimating their metabolic needs.
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Detailed Description
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Methods: This prospective observational study was conducted in a surgical ICU in an academic tertiary hospital over three months. Thirty mechanically ventilated patients who had received liver transplants and were expected to stay in the ICU more than 2 days were studied. Resting energy expenditure(REE) was measured 48 hours after ICU admission using open-circuit indirect calorimetry. Theoretical REE was estimated using three predictive equations: Harris-Benedict methods, lreton-Jones ventilated, and Penn state 1988. The REEs derived from each predictive equation were compared with the measured REE using an intraclass correlation coefficient (ICC) and a Bland-Altman plot.
Conditions
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Study Design
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COHORT
PROSPECTIVE
Study Groups
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Indirect calorimetry measurement
Using indirect calorimetry for measure resting energy expenditure
No interventions assigned to this group
Eligibility Criteria
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Inclusion Criteria
Exclusion Criteria
* patients who were extubated before 36 hrs
18 Years
ALL
No
Sponsors
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Asan Medical Center
OTHER
Responsible Party
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Suk-Kyung
Associate professor
Principal Investigators
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Suk-kyung Hong, Ph.D.
Role: PRINCIPAL_INVESTIGATOR
Asan Medical Center
Locations
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Hakjae Lee
Seoul, , South Korea
Countries
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References
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McClave SA, Martindale RG, Kiraly L. The use of indirect calorimetry in the intensive care unit. Curr Opin Clin Nutr Metab Care. 2013 Mar;16(2):202-8. doi: 10.1097/MCO.0b013e32835dbc54.
Sundstrom M, Tjader I, Rooyackers O, Wernerman J. Indirect calorimetry in mechanically ventilated patients. A systematic comparison of three instruments. Clin Nutr. 2013 Feb;32(1):118-21. doi: 10.1016/j.clnu.2012.06.004. Epub 2012 Jul 3.
Kross EK, Sena M, Schmidt K, Stapleton RD. A comparison of predictive equations of energy expenditure and measured energy expenditure in critically ill patients. J Crit Care. 2012 Jun;27(3):321.e5-12. doi: 10.1016/j.jcrc.2011.07.084. Epub 2012 Mar 14.
Xiao GZ, Su L, Duan PK, Wang QX, Huang Y. [Comparison of measuring energy expenditure with indirect calorimetry and traditional estimation of energy expenditure in patients in intensive care unit]. Zhongguo Wei Zhong Bing Ji Jiu Yi Xue. 2011 Jul;23(7):392-5. Chinese.
Other Identifiers
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AsanMC-LTindirectKcal
Identifier Type: -
Identifier Source: org_study_id
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