Validity of predictive equations for estimation of resting energy expenditure among mechanically ventilated critically ill patients: Preliminary findings

Background: Several predictive equations (PEs) have been developed for estimation of energy requirement but very few has been validated among mechanically ventilated critically ill patients in Asian population. Objectives: This study aimed at determining the validity of 14 PEs for energy requireme...

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Main Authors:	Tah, Pei Chien, Hakumat-Rai, Vineya-Rai, Poh, Bee Koon, Mat Nor, Mohd Basri, Abdul Majid, Hazreen, Kee, Chee Cheong, Kamarul Zaman, Mazuin, Hasan, Mohd Shahnaz
Format:	Conference or Workshop Item
Language:	English
Published:	2017
Subjects:	R Medicine (General)
Online Access:	http://irep.iium.edu.my/61983/ http://irep.iium.edu.my/61983/ http://irep.iium.edu.my/61983/1/61983_Validity%20of%20predictive%20equations%20for%20estimation_complete.pdf

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spelling	iium-619832018-06-26T02:46:30Z http://irep.iium.edu.my/61983/ Validity of predictive equations for estimation of resting energy expenditure among mechanically ventilated critically ill patients: Preliminary findings Tah, Pei Chien Hakumat-Rai, Vineya-Rai Poh, Bee Koon Mat Nor, Mohd Basri Abdul Majid, Hazreen Kee, Chee Cheong Kamarul Zaman, Mazuin Hasan, Mohd Shahnaz R Medicine (General) Background: Several predictive equations (PEs) have been developed for estimation of energy requirement but very few has been validated among mechanically ventilated critically ill patients in Asian population. Objectives: This study aimed at determining the validity of 14 PEs for energy requirement and identifying metabolic determinants that influence resting energy expenditure (REE). Methods: REE was measured among 90 ventilated critically ill patients by using IndirectCalorimetry (IC). 14 PEs used to estimate patients’ energy requirement was validated against IC using intraclass correlation coefficient (ICC) test. Metabolic determinants assessed were sex, body mass index (BMI), age, patient condition, mNUTRIC score and body cell mass (BCM) status. Recruitment is on-going until sample size of 314 is achieved. Results: In the early phase (≤5days), mean REE for all critically ill patients was 1677±403kcal whereas for obese patients was 1926±438kcal. Penn State equation [PSU(m),2003b] shows highest correlation (ICC=0.635), 95%CI(0.49,0.75), p<0.001 with IC in estimating REE among all critically ill patients. Meanwhile, Harris Benedict Equation (variants) [HBEa(50)x1.25] shows highest correlation (ICC= 0.581), 95%CI(0.12,0.84), p=0.010 in estimating REE among obese patients. There was significant difference in REE by sex, BMI and BCM status during early and late phase (6-10days). During chronic phase (>10days), significant difference in REE was observed in patient condition and BCM status. Conclusion: These preliminary results show that most available validated equations had poor to fair agreement with IC measurement. As such, we opine that it is crucial to determine a reliable PE for assessing energy requirement of Asian critically ill patients. 2017-07 Conference or Workshop Item NonPeerReviewed application/pdf en http://irep.iium.edu.my/61983/1/61983_Validity%20of%20predictive%20equations%20for%20estimation_complete.pdf Tah, Pei Chien and Hakumat-Rai, Vineya-Rai and Poh, Bee Koon and Mat Nor, Mohd Basri and Abdul Majid, Hazreen and Kee, Chee Cheong and Kamarul Zaman, Mazuin and Hasan, Mohd Shahnaz (2017) Validity of predictive equations for estimation of resting energy expenditure among mechanically ventilated critically ill patients: Preliminary findings. In: "Parenteral and Enteral Nutrition Society of Asia (PENSA) 2017 conference", Mandaluyong City, Philippines. http://www.pensa-2017.com/POJ_0066.html
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	R Medicine (General)
spellingShingle	R Medicine (General) Tah, Pei Chien Hakumat-Rai, Vineya-Rai Poh, Bee Koon Mat Nor, Mohd Basri Abdul Majid, Hazreen Kee, Chee Cheong Kamarul Zaman, Mazuin Hasan, Mohd Shahnaz Validity of predictive equations for estimation of resting energy expenditure among mechanically ventilated critically ill patients: Preliminary findings
description	Background: Several predictive equations (PEs) have been developed for estimation of energy requirement but very few has been validated among mechanically ventilated critically ill patients in Asian population. Objectives: This study aimed at determining the validity of 14 PEs for energy requirement and identifying metabolic determinants that influence resting energy expenditure (REE). Methods: REE was measured among 90 ventilated critically ill patients by using IndirectCalorimetry (IC). 14 PEs used to estimate patients’ energy requirement was validated against IC using intraclass correlation coefficient (ICC) test. Metabolic determinants assessed were sex, body mass index (BMI), age, patient condition, mNUTRIC score and body cell mass (BCM) status. Recruitment is on-going until sample size of 314 is achieved. Results: In the early phase (≤5days), mean REE for all critically ill patients was 1677±403kcal whereas for obese patients was 1926±438kcal. Penn State equation [PSU(m),2003b] shows highest correlation (ICC=0.635), 95%CI(0.49,0.75), p<0.001 with IC in estimating REE among all critically ill patients. Meanwhile, Harris Benedict Equation (variants) [HBEa(50)x1.25] shows highest correlation (ICC= 0.581), 95%CI(0.12,0.84), p=0.010 in estimating REE among obese patients. There was significant difference in REE by sex, BMI and BCM status during early and late phase (6-10days). During chronic phase (>10days), significant difference in REE was observed in patient condition and BCM status. Conclusion: These preliminary results show that most available validated equations had poor to fair agreement with IC measurement. As such, we opine that it is crucial to determine a reliable PE for assessing energy requirement of Asian critically ill patients.
format	Conference or Workshop Item
author	Tah, Pei Chien Hakumat-Rai, Vineya-Rai Poh, Bee Koon Mat Nor, Mohd Basri Abdul Majid, Hazreen Kee, Chee Cheong Kamarul Zaman, Mazuin Hasan, Mohd Shahnaz
author_facet	Tah, Pei Chien Hakumat-Rai, Vineya-Rai Poh, Bee Koon Mat Nor, Mohd Basri Abdul Majid, Hazreen Kee, Chee Cheong Kamarul Zaman, Mazuin Hasan, Mohd Shahnaz
author_sort	Tah, Pei Chien
title	Validity of predictive equations for estimation of resting energy expenditure among mechanically ventilated critically ill patients: Preliminary findings
title_short	Validity of predictive equations for estimation of resting energy expenditure among mechanically ventilated critically ill patients: Preliminary findings
title_full	Validity of predictive equations for estimation of resting energy expenditure among mechanically ventilated critically ill patients: Preliminary findings
title_fullStr	Validity of predictive equations for estimation of resting energy expenditure among mechanically ventilated critically ill patients: Preliminary findings
title_full_unstemmed	Validity of predictive equations for estimation of resting energy expenditure among mechanically ventilated critically ill patients: Preliminary findings
title_sort	validity of predictive equations for estimation of resting energy expenditure among mechanically ventilated critically ill patients: preliminary findings
publishDate	2017
url	http://irep.iium.edu.my/61983/ http://irep.iium.edu.my/61983/ http://irep.iium.edu.my/61983/1/61983_Validity%20of%20predictive%20equations%20for%20estimation_complete.pdf
first_indexed	2023-09-18T21:27:56Z
last_indexed	2023-09-18T21:27:56Z
_version_	1777412317112172544

Validity of predictive equations for estimation of resting energy expenditure among mechanically ventilated critically ill patients: Preliminary findings

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