Cover Image

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...

Full description

Saved in:
Bibliographic Details
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/61983/1/61983_Validity%20of%20predictive%20equations%20for%20estimation_complete.pdf
http://irep.iium.edu.my/61983/
http://www.pensa-2017.com/POJ_0066.html
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.iium.irep.61983
record_format dspace
spelling my.iium.irep.61983 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
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
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/61983/1/61983_Validity%20of%20predictive%20equations%20for%20estimation_complete.pdf
http://irep.iium.edu.my/61983/
http://www.pensa-2017.com/POJ_0066.html
_version_ 1643617047715774464
score 13.211869

Similar Items