TY - JOUR

T1 - Development and Validation of a New Cardio-Specific Resting Energy Expenditure Equation for Adults

AU - Efremov, Sergey Mihailovich

AU - Talaban, Valeria Olegovna

AU - Ponomarev, Dmitry Nikolaevich

AU - Vedernikov, Pavel Eugenyevich

AU - Chechenin, Mihail Gennadyevich

AU - Artemieva, Victoria Vladimirovna

AU - Lomivorotov, Vladimir Vladimirovich

PY - 2018/5/1

Y1 - 2018/5/1

N2 - Background: This study tested the accuracy of resting energy expenditure (REE) equations among patients who underwent cardiopulmonary bypass and developed/validated a more accurate cardio-specific equation (CSE). Materials and Methods: Prospective observational cohort of 240 adults (derivation data set, 170 patients; validation data set, 70 patients). REEs were calculated with 6 equations—Penn State 2003a, Penn State 2003b, Ireton-Jones, Swinamer, Faisy, and American College of Chest Physicians—and results were compared with indirect calorimetry (IC). Multivariable linear regression analysis was used to develop the CSE. Agreement between measured and calculated REEs was assessed with Lin’s concordance correlation coefficient (LCCC), Bland-Altman plot, and regression analysis. Results: LCCCs present poor agreement between measured and calculated REEs: 0.24 (95% CI, 0.19–0.29), for the Faisy equation; 0.15 (95% CI, 0.1–0.19), Ireton-Jones; 0.31 (95% CI, 0.25–0.37), Swinamer; 0.17 (95% CI, 0.13–0.21), Penn State 2003a; 0.19 (95% CI, 0.14–0.23), Penn State 2003b; and 0.11 (95% CI, 0.07–0.15), American College of Chest Physicians. Based on the derivation data set, REEs are explained by the following equation: CSE = 616 − 8 × age in years + 13 × weight in kilograms + 450 if on ventilator + 159 × MV in liters + 145 if on inotropes. Based on the validation study results, the LCCC between IC and the CSE was 0.82 (95% CI, 0.73–0.88). Conclusion: The CSE has adequate precision and could be used for REE estimation for patients undergoing cardiopulmonary bypass if IC is unavailable.

AB - Background: This study tested the accuracy of resting energy expenditure (REE) equations among patients who underwent cardiopulmonary bypass and developed/validated a more accurate cardio-specific equation (CSE). Materials and Methods: Prospective observational cohort of 240 adults (derivation data set, 170 patients; validation data set, 70 patients). REEs were calculated with 6 equations—Penn State 2003a, Penn State 2003b, Ireton-Jones, Swinamer, Faisy, and American College of Chest Physicians—and results were compared with indirect calorimetry (IC). Multivariable linear regression analysis was used to develop the CSE. Agreement between measured and calculated REEs was assessed with Lin’s concordance correlation coefficient (LCCC), Bland-Altman plot, and regression analysis. Results: LCCCs present poor agreement between measured and calculated REEs: 0.24 (95% CI, 0.19–0.29), for the Faisy equation; 0.15 (95% CI, 0.1–0.19), Ireton-Jones; 0.31 (95% CI, 0.25–0.37), Swinamer; 0.17 (95% CI, 0.13–0.21), Penn State 2003a; 0.19 (95% CI, 0.14–0.23), Penn State 2003b; and 0.11 (95% CI, 0.07–0.15), American College of Chest Physicians. Based on the derivation data set, REEs are explained by the following equation: CSE = 616 − 8 × age in years + 13 × weight in kilograms + 450 if on ventilator + 159 × MV in liters + 145 if on inotropes. Based on the validation study results, the LCCC between IC and the CSE was 0.82 (95% CI, 0.73–0.88). Conclusion: The CSE has adequate precision and could be used for REE estimation for patients undergoing cardiopulmonary bypass if IC is unavailable.

KW - adult

KW - calorimetry

KW - cardiac disease

KW - life cycle

KW - nutrition

KW - research and diseases

KW - surgery

UR - http://www.scopus.com/inward/record.url?scp=85043348110&partnerID=8YFLogxK

U2 - 10.1177/0148607117711648

DO - 10.1177/0148607117711648

M3 - Article

AN - SCOPUS:85043348110

VL - 42

SP - 702

EP - 708

JO - Journal of Parenteral and Enteral Nutrition

JF - Journal of Parenteral and Enteral Nutrition

SN - 0148-6071

IS - 4

ER -