Maximizing precision and accuracy of the doubly labeled water method via optimal sampling protocol, calculation choices, and incorporation of 17O measurements

Elena S F Berman; Tracy Swibas; Wendy M Kohrt; Vicki A Catenacci; Seth A Creasy; Edward L Melanson; John R Speakman

doi:10.1038/s41430-019-0492-z

Maximizing precision and accuracy of the doubly labeled water method via optimal sampling protocol, calculation choices, and incorporation of ¹⁷O measurements

Elena S F Berman, Tracy Swibas, Wendy M Kohrt, Vicki A Catenacci, Seth A Creasy, Edward L Melanson, John R Speakman^*

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

12 Citations (Scopus)

Abstract

BACKGROUND/OBJECTIVES: The doubly labeled water (DLW) method is the gold standard methodology for determination of free-living, total daily energy expenditure (TEE). However, there is no single accepted approach for either the sampling protocols (daily vs. two-point, in which samples are collected after dosing and at the end of the measurement period) or the calculations used in the determination of the rate of carbon dioxide production (rCO2) and TEE. Moreover, fluctuations in natural background abundances introduce error in the calculation of rCO2 and TEE. The advent of new technologies makes feasible the possibility of including additional isotope measures (17O) to account for background variation, which may improve accuracy.

SUBJECTS/METHODS: Sixteen subjects were studied for 7 consecutive days in a whole-room indirect calorimeter (IC) with concurrent measurement of TEE by DLW. Daily urine samples were obtained and isotope ratios were determined using off-axis integrated cavity output spectroscopy (OA-ICOS).

RESULTS: We determined the best combination of approaches for estimating dilution spaces and elimination rates and calculated average daily volume of carbon dioxide production (VCO2) using six different published equations. Using this best combination, multi-point fitting of isotope elimination rates using the daily urine samples substantially improved the average precision (4.5% vs. 6.0%) and accuracy (-0.5% vs. -3.0%) compared with the two-point method. This improvement may partly reflect the less variable day-to-day chamber measurements of energy expenditure. Utilizing 17O measurements to correct for errors due to background isotope fluctuations provided additional but minor improvements in precision (4.2% vs. 4.5%) and accuracy (0.2% vs. 0.5%).

CONCLUSIONS: This work shows that optimizing sampling and calculation protocols can improve the accuracy and precision of DLW measurements.

Original language	English
Pages (from-to)	454-464
Number of pages	11
Journal	European Journal of Clinical Nutrition
Volume	74
Issue number	3
Early online date	19 Aug 2019
DOIs	https://doi.org/10.1038/s41430-019-0492-z
Publication status	Published - 2020

Bibliographical note

This work was supported by an NIH Small Business Innovation (SBIR) Research Grant (R44 DK093362), as well as support from the Colorado Nutrition and Obesity Research Center (P30 DK048520) and the Colorado Clinical and Translational Science Institute (UL1 RR025780). ELM is also supported by resources from the Geriatric Research, Education, and Clinical Center at the Denver VA Medical Center. JRS was supported by a 1000 Talents award from the Chinese government and a Wolfson merit award from the UK royal society.

Keywords

Epidemiology
Obesity
Body Composition
Energy expenditure
Physical activity
DILUTION SPACES
VALIDATION
RATIO
H-2
CAVITY OUTPUT SPECTROSCOPY
ENERGY-EXPENDITURE
BODY-WATER
DELTA-O-18
CO2 PRODUCTION
HUMAN URINE

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1038/s41430-019-0492-zLicence: Unspecified

Cite this

Berman, E. S. F., Swibas, T., Kohrt, W. M., Catenacci, V. A., Creasy, S. A., Melanson, E. L., & Speakman, J. R. (2020). Maximizing precision and accuracy of the doubly labeled water method via optimal sampling protocol, calculation choices, and incorporation of ¹⁷O measurements. European Journal of Clinical Nutrition, 74(3), 454-464. https://doi.org/10.1038/s41430-019-0492-z

@article{c08393fc72694580b6cdbb1acbf943d4,

title = "Maximizing precision and accuracy of the doubly labeled water method via optimal sampling protocol, calculation choices, and incorporation of 17O measurements",

abstract = "BACKGROUND/OBJECTIVES: The doubly labeled water (DLW) method is the gold standard methodology for determination of free-living, total daily energy expenditure (TEE). However, there is no single accepted approach for either the sampling protocols (daily vs. two-point, in which samples are collected after dosing and at the end of the measurement period) or the calculations used in the determination of the rate of carbon dioxide production (rCO2) and TEE. Moreover, fluctuations in natural background abundances introduce error in the calculation of rCO2 and TEE. The advent of new technologies makes feasible the possibility of including additional isotope measures (17O) to account for background variation, which may improve accuracy.SUBJECTS/METHODS: Sixteen subjects were studied for 7 consecutive days in a whole-room indirect calorimeter (IC) with concurrent measurement of TEE by DLW. Daily urine samples were obtained and isotope ratios were determined using off-axis integrated cavity output spectroscopy (OA-ICOS).RESULTS: We determined the best combination of approaches for estimating dilution spaces and elimination rates and calculated average daily volume of carbon dioxide production (VCO2) using six different published equations. Using this best combination, multi-point fitting of isotope elimination rates using the daily urine samples substantially improved the average precision (4.5% vs. 6.0%) and accuracy (-0.5% vs. -3.0%) compared with the two-point method. This improvement may partly reflect the less variable day-to-day chamber measurements of energy expenditure. Utilizing 17O measurements to correct for errors due to background isotope fluctuations provided additional but minor improvements in precision (4.2% vs. 4.5%) and accuracy (0.2% vs. 0.5%).CONCLUSIONS: This work shows that optimizing sampling and calculation protocols can improve the accuracy and precision of DLW measurements.",

keywords = "Epidemiology, Obesity, Body Composition, Energy expenditure, Physical activity, DILUTION SPACES, VALIDATION, RATIO, H-2, CAVITY OUTPUT SPECTROSCOPY, ENERGY-EXPENDITURE, BODY-WATER, DELTA-O-18, CO2 PRODUCTION, HUMAN URINE",

author = "Berman, {Elena S F} and Tracy Swibas and Kohrt, {Wendy M} and Catenacci, {Vicki A} and Creasy, {Seth A} and Melanson, {Edward L} and Speakman, {John R}",

note = "This work was supported by an NIH Small Business Innovation (SBIR) Research Grant (R44 DK093362), as well as support from the Colorado Nutrition and Obesity Research Center (P30 DK048520) and the Colorado Clinical and Translational Science Institute (UL1 RR025780). ELM is also supported by resources from the Geriatric Research, Education, and Clinical Center at the Denver VA Medical Center. JRS was supported by a 1000 Talents award from the Chinese government and a Wolfson merit award from the UK royal society. ",

year = "2020",

doi = "10.1038/s41430-019-0492-z",

language = "English",

volume = "74",

pages = "454--464",

journal = "European Journal of Clinical Nutrition",

issn = "0954-3007",

publisher = "Nature Publishing Group",

number = "3",

}

TY - JOUR

T1 - Maximizing precision and accuracy of the doubly labeled water method via optimal sampling protocol, calculation choices, and incorporation of 17O measurements

AU - Berman, Elena S F

AU - Swibas, Tracy

AU - Kohrt, Wendy M

AU - Catenacci, Vicki A

AU - Creasy, Seth A

AU - Melanson, Edward L

AU - Speakman, John R

N1 - This work was supported by an NIH Small Business Innovation (SBIR) Research Grant (R44 DK093362), as well as support from the Colorado Nutrition and Obesity Research Center (P30 DK048520) and the Colorado Clinical and Translational Science Institute (UL1 RR025780). ELM is also supported by resources from the Geriatric Research, Education, and Clinical Center at the Denver VA Medical Center. JRS was supported by a 1000 Talents award from the Chinese government and a Wolfson merit award from the UK royal society.

PY - 2020

Y1 - 2020

N2 - BACKGROUND/OBJECTIVES: The doubly labeled water (DLW) method is the gold standard methodology for determination of free-living, total daily energy expenditure (TEE). However, there is no single accepted approach for either the sampling protocols (daily vs. two-point, in which samples are collected after dosing and at the end of the measurement period) or the calculations used in the determination of the rate of carbon dioxide production (rCO2) and TEE. Moreover, fluctuations in natural background abundances introduce error in the calculation of rCO2 and TEE. The advent of new technologies makes feasible the possibility of including additional isotope measures (17O) to account for background variation, which may improve accuracy.SUBJECTS/METHODS: Sixteen subjects were studied for 7 consecutive days in a whole-room indirect calorimeter (IC) with concurrent measurement of TEE by DLW. Daily urine samples were obtained and isotope ratios were determined using off-axis integrated cavity output spectroscopy (OA-ICOS).RESULTS: We determined the best combination of approaches for estimating dilution spaces and elimination rates and calculated average daily volume of carbon dioxide production (VCO2) using six different published equations. Using this best combination, multi-point fitting of isotope elimination rates using the daily urine samples substantially improved the average precision (4.5% vs. 6.0%) and accuracy (-0.5% vs. -3.0%) compared with the two-point method. This improvement may partly reflect the less variable day-to-day chamber measurements of energy expenditure. Utilizing 17O measurements to correct for errors due to background isotope fluctuations provided additional but minor improvements in precision (4.2% vs. 4.5%) and accuracy (0.2% vs. 0.5%).CONCLUSIONS: This work shows that optimizing sampling and calculation protocols can improve the accuracy and precision of DLW measurements.

AB - BACKGROUND/OBJECTIVES: The doubly labeled water (DLW) method is the gold standard methodology for determination of free-living, total daily energy expenditure (TEE). However, there is no single accepted approach for either the sampling protocols (daily vs. two-point, in which samples are collected after dosing and at the end of the measurement period) or the calculations used in the determination of the rate of carbon dioxide production (rCO2) and TEE. Moreover, fluctuations in natural background abundances introduce error in the calculation of rCO2 and TEE. The advent of new technologies makes feasible the possibility of including additional isotope measures (17O) to account for background variation, which may improve accuracy.SUBJECTS/METHODS: Sixteen subjects were studied for 7 consecutive days in a whole-room indirect calorimeter (IC) with concurrent measurement of TEE by DLW. Daily urine samples were obtained and isotope ratios were determined using off-axis integrated cavity output spectroscopy (OA-ICOS).RESULTS: We determined the best combination of approaches for estimating dilution spaces and elimination rates and calculated average daily volume of carbon dioxide production (VCO2) using six different published equations. Using this best combination, multi-point fitting of isotope elimination rates using the daily urine samples substantially improved the average precision (4.5% vs. 6.0%) and accuracy (-0.5% vs. -3.0%) compared with the two-point method. This improvement may partly reflect the less variable day-to-day chamber measurements of energy expenditure. Utilizing 17O measurements to correct for errors due to background isotope fluctuations provided additional but minor improvements in precision (4.2% vs. 4.5%) and accuracy (0.2% vs. 0.5%).CONCLUSIONS: This work shows that optimizing sampling and calculation protocols can improve the accuracy and precision of DLW measurements.

KW - Epidemiology

KW - Obesity

KW - Body Composition

KW - Energy expenditure

KW - Physical activity

KW - DILUTION SPACES

KW - VALIDATION

KW - RATIO

KW - H-2

KW - CAVITY OUTPUT SPECTROSCOPY

KW - ENERGY-EXPENDITURE

KW - BODY-WATER

KW - DELTA-O-18

KW - CO2 PRODUCTION

KW - HUMAN URINE

UR - http://www.scopus.com/inward/record.url?scp=85070831529&partnerID=8YFLogxK

U2 - 10.1038/s41430-019-0492-z

DO - 10.1038/s41430-019-0492-z

M3 - Article

C2 - 31427762

SN - 0954-3007

VL - 74

SP - 454

EP - 464

JO - European Journal of Clinical Nutrition

JF - European Journal of Clinical Nutrition

IS - 3

ER -