Investigation of Measured and Predicted Resting Energy Needs in Adults After Spinal Cord Injury: a Systematic Review

Overview

Journal Spinal Cord

Specialty Neurology

Date 2015 Dec 23

PMID 26690858

Citations 25

Authors

A N Nevin

J Steenson

A Vivanti

I J Hickman

Affiliations

Soon will be listed here.

Abstract

Background: Accurate estimation of energy needs is vital for effective nutritional management of individuals with spinal cord injury (SCI). Inappropriate energy prescription after SCI can compound the rates of malnutrition or obesity, increase the risk of complications and negatively influence outcomes. Energy requirements following SCI are not well understood, and there is currently no universally accepted method of estimating energy needs in clinical practice.

Study Design: This is a systematic literature review.

Objectives: The objectives of this study were to investigate and compare the measured resting energy needs of adults with SCI across different phases of rehabilitation, and to identify appropriate energy prediction equations for use in SCI.

Setting: This study was conducted in Australia.

Methods: MEDLINE, EMBASE and CENTRAL databases were searched for studies published between 1975 and April 2015, identifying 298 articles. Full articles in English language of adults with SCI who were fasted for a minimum of 8 hours before undergoing indirect calorimetry to measure resting energy expenditure (REE) for at least 20 min were selected. On the basis of the inclusion criteria, 18 articles remained for data extraction. One author extracted information from all articles, and inter-rater reliability was tested in five articles.

Results: REE across three phases of injury was assessed: acute, sub-acute and chronic. Few studies (n=2) have investigated REE in the acute and sub-acute injury stages of SCI recovery. The factors influencing chronic energy needs in SCI patient populations are many and varied, and a valid predictive equation for use in SCI remains elusive.

Conclusion: Indirect calorimetry remains the only accurate assessment of REE for health practitioners working with patients after SCI.

Citing Articles

Resting energy expenditure during spinal cord injury rehabilitation and utility of fat-free mass-based energy prediction equations: a pilot study.

Nevin A, Atresh S, Vivanti A, Ward L, Hickman I Spinal Cord Ser Cases. 2024; 10(1):70.

PMID: 39358343 PMC: 11447238. DOI: 10.1038/s41394-024-00682-x.

Validation of basal metabolic rate equations in persons with innervated and denervated chronic spinal cord injury.

Alazzam A, Gorgey A Physiol Rep. 2024; 12(11):e16099.

PMID: 38872507 PMC: 11176742. DOI: 10.14814/phy2.16099.

Deep Learning-Based Prediction Model for Gait Recovery after a Spinal Cord Injury.

Yoo H, Lee K, Koo B, Yong C, Kim C Diagnostics (Basel). 2024; 14(6).

PMID: 38534998 PMC: 10969139. DOI: 10.3390/diagnostics14060579.

Trends in measuring BMR and RMR after spinal cord injury: a comprehensive review.

Alazzam A, Alrubaye M, Goldsmith J, Gorgey A Br J Nutr. 2023; 130(10):1720-1731.

PMID: 37092679 PMC: 10587382. DOI: 10.1017/S0007114523000831.

A longitudinal analysis of resting energy expenditure and body composition in people with spinal cord injury undergoing surgical repair of pressure injuries: a pilot study.

Nevin A, Urquhart S, Atresh S, Geraghty T, Walter E, Ryan E Eur J Clin Nutr. 2022; 77(3):386-392.

PMID: 36477671 DOI: 10.1038/s41430-022-01248-6.

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