Estimation of Resting Energy Expenditure Using Predictive Equations in Critically Ill Children: Results of a Systematic Review

2018 ◽  
Vol 42 (6) ◽  
pp. 976-986 ◽  
Author(s):  
Corinne Jotterand Chaparro ◽  
Clémence Moullet ◽  
Patrick Taffé ◽  
Jocelyne Laure Depeyre ◽  
Marie-Hélène Perez ◽  
...  
Keyword(s):  
Systematic Review ◽  
Energy Expenditure ◽  
Critically Ill ◽  
Resting Energy Expenditure ◽  
Critically Ill Children ◽  
Predictive Equations ◽  
Resting Energy

scholarly journals Performance of Predictive Equations Specifically Developed to Estimate Resting Energy Expenditure in Ventilated Critically Ill Children

2017 ◽  
Vol 184 ◽  
pp. 220-226.e5 ◽  
Author(s):  
Corinne Jotterand Chaparro ◽  
Patrick Taffé ◽  
Clémence Moullet ◽  
Jocelyne Laure Depeyre ◽  
David Longchamp ◽  
...  
Keyword(s):  
Energy Expenditure ◽  
Critically Ill ◽  
Resting Energy Expenditure ◽  
Critically Ill Children ◽  
Predictive Equations ◽  
Resting Energy

Can Vco2-Based Estimates of Resting Energy Expenditure Replace the Need for Indirect Calorimetry in Critically Ill Children?

2016 ◽  
Vol 41 (4) ◽  
pp. 619-624 ◽  
Author(s):  
Marialena Mouzaki ◽  
Steven M. Schwartz ◽  
Haifa Mtaweh ◽  
Gustavo La Rotta ◽  
Kandice Mah ◽  
...  
Keyword(s):  
Energy Expenditure ◽  
Critically Ill ◽  
Indirect Calorimetry ◽  
Resting Energy Expenditure ◽  
Critically Ill Children ◽  
Resting Energy

scholarly journals Resting Energy Expenditure in the Elderly: Systematic Review and Comparison of Equations in an Experimental Population

Nutrients ◽  
2021 ◽  
Vol 13 (2) ◽  
pp. 458
Author(s):  
Honoria Ocagli ◽  
Corrado Lanera ◽  
Danila Azzolina ◽  
Gianluca Piras ◽  
Rozita Soltanmohammadi ◽  
...  
Keyword(s):  
Systematic Review ◽  
Energy Expenditure ◽  
Web Application ◽  
Intraclass Correlation ◽  
Resting Energy Expenditure ◽  
The Elderly ◽  
Elderly Subjects ◽  
Experimental Population ◽  
Predictive Equations ◽  
Resting Energy

Elderly patients are at risk of malnutrition and need an appropriate assessment of energy requirements. Predictive equations are widely used to estimate resting energy expenditure (REE). In the study, we conducted a systematic review of REE predictive equations in the elderly population and compared them in an experimental population. Studies involving subjects older than 65 years of age that evaluated the performance of a predictive equation vs. a gold standard were included. The retrieved equations were then tested on a sample of 88 elderly subjects enrolled in an Italian nursing home to evaluate the agreement among the estimated REEs. The agreement was assessed using the intraclass correlation coefficient (ICC). A web application, equationer, was developed to calculate all the estimated REEs according to the available variables. The review identified 68 studies (210 different equations). The agreement among the equations in our sample was higher for equations with fewer parameters, especially those that included body weight, ICC = 0.75 (95% CI = 0.69–0.81). There is great heterogeneity among REE estimates. Such differences should be considered and evaluated when estimates are applied to particularly fragile populations since the results have the potential to impact the patient’s overall clinical outcome.

scholarly journals Resting Energy Expenditure Prediction Equations in the Pediatric Population: A Systematic Review

2021 ◽  
Vol 9 ◽  
Author(s):  
Jimena Fuentes-Servín ◽  
Azalia Avila-Nava ◽  
Luis E. González-Salazar ◽  
Oscar A. Pérez-González ◽  
María Del Carmen Servín-Rodas ◽  
...  
Keyword(s):  
Systematic Review ◽  
Energy Expenditure ◽  
Pediatric Patients ◽  
Assessment Tool ◽  
Pediatric Population ◽  
Resting Energy Expenditure ◽  
Cross Sectional ◽  
Predictive Equations ◽  
Pediatric Populations ◽  
Resting Energy

Background and Aims: The determination of energy requirements is necessary to promote adequate growth and nutritional status in pediatric populations. Currently, several predictive equations have been designed and modified to estimate energy expenditure at rest. Our objectives were (1) to identify the equations designed for energy expenditure prediction and (2) to identify the anthropometric and demographic variables used in the design of the equations for pediatric patients who are healthy and have illness.Methods: A systematic search in the Medline/PubMed, EMBASE and LILACS databases for observational studies published up to January 2021 that reported the design of predictive equations to estimate basal or resting energy expenditure in pediatric populations was carried out. Studies were excluded if the study population included athletes, adult patients, or any patients taking medications that altered energy expenditure. Risk of bias was assessed using the Quality Assessment Tool for Observational Cohort and Cross-Sectional Studies.Results: Of the 769 studies identified in the search, 39 met the inclusion criteria and were analyzed. Predictive equations were established for three pediatric populations: those who were healthy (n = 8), those who had overweight or obesity (n = 17), and those with a specific clinical situation (n = 14). In the healthy pediatric population, the FAO/WHO and Schofield equations had the highest R2 values, while in the population with obesity, the Molnár and Dietz equations had the highest R2 values for both boys and girls.Conclusions: Many different predictive equations for energy expenditure in pediatric patients have been published. This review is a compendium of most of these equations; this information will enable clinicians to critically evaluate their use in clinical practice.Systematic Review Registration:https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=226270, PROSPERO [CRD42021226270].

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