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Completed

NCT Number: NCT03622268

Using Indirect Calorimetry for Liver Transplants Patients

Although predicted REE calculated using the Penn state 1988 method agreed (ICC 0.61, p=0.00014) with the measured REE, all three predictive equations had a fixed bias and appeared to be inaccurate for predicting REE for liver transplant recipients.

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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Key information

Age range

18 year and older

Sex eligibility

All sexes

Study type

Observational

Primary location

Hakjae Lee

Seoul, South Korea

About this study

Rationale: The aim of this study was to compare predictive equations with indirect calorimetry and identify the appropriate energy expenditure requirement of liver transplant(LT) recipients in South Korea.

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.

Who can participate

Healthy volunteers accepted: No

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

  • mechanically ventilated patients who had received liver transplants and were expected to stay in the ICU more than 2 days were studied.

Exclusion criteria

  • Refusal
  • patients who were extubated before 36 hrs

Treatment and study plan

Primary outcomes

  1. Comparing REE with the measurement for each predictive equation and indirect calorimetry

    Time frame: 1 year

    The REEs derived from each predictive equation were compared with the measured REE using an intraclass correlation coefficient (ICC) and a Bland-Altman plot.

Sponsors and collaborators

Lead sponsor

Asan Medical Center

Other

Registry information

Official study title

Assessing the Appropriate Energy Expenditure Requirement Using Indirect Calorimetry for Liver Transplant Recipients

Important dates

Study start
2017
Primary completion
2018
Study completion
2018
First posted
Aug 9, 2018
Registry last updated
Aug 9, 2018

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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