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Resting energy expenditure prediction using bioelectrical impedance analysis in patients with severe motor and intellectual disabilities.
Brain Dev. 2019 Apr; 41(4):352-358.BD

Abstract

INTRODUCTION

Resting energy expenditure (REE) is expected to be lower in with severe motor and intellectual disabilities (SMID) patients than in healthy subjects because of their relatively low fat-free mass (FFM). Therefore, an REE predictive equation for SMID patients may be required. The aim of this study was to validate existing REE predictive weight-based equations (Harris-Benedict, WHO, Mifflin, Owen, Schofield) and FFM-based REE equations (Mifflin, Owen and Cunningham) and to develop a new SMID patient-specific FFM-based REE equation.

METHODS

Twenty-eight (22 males, 6 females) SMID patients over 18 years of age were included. The REE was measured using indirect calorimetry. FFM were measured using bioelectrical impedance analysis. A multiple linear regression analysis was used to develop a new FFM-based REE predictive equation. The accurate predictions compared the measured REE and root mean square error.

RESULTS

The median measured REE was 950 (25th,75th percentile:712.75, 1102.75) kcal/day. The new FFM-based equation was as follows: REE (kcal/day) = 550.62 + 16.62 FFM (kg). The new FFM-based REE resulted in the highest percentage of accurate predictions within 10% of measured REE (42.9%). The root mean square errors were the smallest for the new FFM-based REE and largest for Harris-Benedict (91.00 and 185.22 kcal/day).

CONCLUSION

For SMID patients, the REE cannot accurately be predicted using the existing weight-based REE equations. Furthermore, the existing FFM-based REE equations are less accurate with regard to the measured REE than the new FFM-based REE equation. The new FFM-based equation is advised for use in SMID patients.

Authors+Show Affiliations

Department of Pediatric Surgery, Kurume University School of Medicine, Kurume, Fukuoka, Japan. Electronic address: n_hashidume@med.kurume-u.ac.jp.Division of Medical Safety Management, Kurume University Hospital, Kurume, Fukuoka, Japan.Department of Pediatric Surgery, Kurume University School of Medicine, Kurume, Fukuoka, Japan.Department of Pediatric Surgery, Kurume University School of Medicine, Kurume, Fukuoka, Japan.Department of Pediatric Surgery, Kurume University School of Medicine, Kurume, Fukuoka, Japan.Department of Pediatric Surgery, Kurume University School of Medicine, Kurume, Fukuoka, Japan.Department of Pediatric Surgery, Kurume University School of Medicine, Kurume, Fukuoka, Japan.Department of Pediatric Surgery, Kurume University School of Medicine, Kurume, Fukuoka, Japan.Department of Pediatric Surgery, Kurume University School of Medicine, Kurume, Fukuoka, Japan.Department of Pediatric Surgery, Kurume University School of Medicine, Kurume, Fukuoka, Japan.Department of Pediatrics and Child Health, Kurume University School of Medicine, Kurume, Fukuoka, Japan.Department of Pediatrics and Child Health, Kurume University School of Medicine, Kurume, Fukuoka, Japan.Department of Pediatric Surgery, Kurume University School of Medicine, Kurume, Fukuoka, Japan.Department of Pediatrics and Child Health, Kurume University School of Medicine, Kurume, Fukuoka, Japan.

Pub Type(s)

Journal Article

Language

eng

PubMed ID

30501961

Citation

Hashizume, Naoki, et al. "Resting Energy Expenditure Prediction Using Bioelectrical Impedance Analysis in Patients With Severe Motor and Intellectual Disabilities." Brain & Development, vol. 41, no. 4, 2019, pp. 352-358.
Hashizume N, Tanaka Y, Yoshida M, et al. Resting energy expenditure prediction using bioelectrical impedance analysis in patients with severe motor and intellectual disabilities. Brain Dev. 2019;41(4):352-358.
Hashizume, N., Tanaka, Y., Yoshida, M., Fukahori, S., Ishii, S., Saikusa, N., Masui, D., Higashidate, N., Sakamoto, S., Tsuruhisa, S., Yuge, K., Ohya, T., Yagi, M., & Yamashita, Y. (2019). Resting energy expenditure prediction using bioelectrical impedance analysis in patients with severe motor and intellectual disabilities. Brain & Development, 41(4), 352-358. https://doi.org/10.1016/j.braindev.2018.11.003
Hashizume N, et al. Resting Energy Expenditure Prediction Using Bioelectrical Impedance Analysis in Patients With Severe Motor and Intellectual Disabilities. Brain Dev. 2019;41(4):352-358. PubMed PMID: 30501961.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Resting energy expenditure prediction using bioelectrical impedance analysis in patients with severe motor and intellectual disabilities. AU - Hashizume,Naoki, AU - Tanaka,Yoshiaki, AU - Yoshida,Motomu, AU - Fukahori,Suguru, AU - Ishii,Shinji, AU - Saikusa,Nobuyuki, AU - Masui,Daisuke, AU - Higashidate,Naruki, AU - Sakamoto,Saki, AU - Tsuruhisa,Shiori, AU - Yuge,Kotaro, AU - Ohya,Takashi, AU - Yagi,Minoru, AU - Yamashita,Yushiro, Y1 - 2018/11/28/ PY - 2018/08/23/received PY - 2018/11/05/revised PY - 2018/11/05/accepted PY - 2018/12/7/pubmed PY - 2019/6/18/medline PY - 2018/12/4/entrez KW - Bioelectrical impedance analysis KW - Equation KW - Fat-free mass KW - Indirect calorimetry KW - Resting energy expenditure KW - Severe motor and intellectual disabilities SP - 352 EP - 358 JF - Brain & development JO - Brain Dev. VL - 41 IS - 4 N2 - INTRODUCTION: Resting energy expenditure (REE) is expected to be lower in with severe motor and intellectual disabilities (SMID) patients than in healthy subjects because of their relatively low fat-free mass (FFM). Therefore, an REE predictive equation for SMID patients may be required. The aim of this study was to validate existing REE predictive weight-based equations (Harris-Benedict, WHO, Mifflin, Owen, Schofield) and FFM-based REE equations (Mifflin, Owen and Cunningham) and to develop a new SMID patient-specific FFM-based REE equation. METHODS: Twenty-eight (22 males, 6 females) SMID patients over 18 years of age were included. The REE was measured using indirect calorimetry. FFM were measured using bioelectrical impedance analysis. A multiple linear regression analysis was used to develop a new FFM-based REE predictive equation. The accurate predictions compared the measured REE and root mean square error. RESULTS: The median measured REE was 950 (25th,75th percentile:712.75, 1102.75) kcal/day. The new FFM-based equation was as follows: REE (kcal/day) = 550.62 + 16.62 FFM (kg). The new FFM-based REE resulted in the highest percentage of accurate predictions within 10% of measured REE (42.9%). The root mean square errors were the smallest for the new FFM-based REE and largest for Harris-Benedict (91.00 and 185.22 kcal/day). CONCLUSION: For SMID patients, the REE cannot accurately be predicted using the existing weight-based REE equations. Furthermore, the existing FFM-based REE equations are less accurate with regard to the measured REE than the new FFM-based REE equation. The new FFM-based equation is advised for use in SMID patients. SN - 1872-7131 UR - https://www.unboundmedicine.com/medline/citation/30501961/Resting_energy_expenditure_prediction_using_bioelectrical_impedance_analysis_in_patients_with_severe_motor_and_intellectual_disabilities_ L2 - https://linkinghub.elsevier.com/retrieve/pii/S0387-7604(18)30385-1 DB - PRIME DP - Unbound Medicine ER -