Observational studyEuropean journal of clinical nutrition2022
Do we need different predictive equations for the acute and late phases of critical illness? A prospective observational study with repeated indirect calorimetry measurements.
Observational study in European journal of clinical nutrition, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. It is linked to trial NCT03319329 (Metabolic Determinants Of Resting Energy Expenditure Among Mechanically Ventilated Critically Ill Patients In Malaysian Tertiary Hospital), which is not on this map. Cited by 5 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Metabolic Determinants Of Resting Energy Expenditure Among Mechanically Ventilated Critically Ill Patients In Malaysian Tertiary Hospital
Who cites it
5 citing papers in PubMed, 11 citations in OpenAlex.
- Interpreting Resting Energy Expenditure in Critically Ill Patients with Obesity: Clinical Impact of Weight Adjustment.Journal of clinical medicine · 2026Article
- Energy expenditure measurement in critical care: Implications for personalized nutrition support.World journal of critical care medicine · 2025Article
- The usefulness of indirect calorimetry as a method for measuring resting energy expenditure in acute intestinal failure.Przeglad gastroenterologiczny · 2025Review
- [Correlation of equations for energy expenditure with indirect calorimetry in critically ill patients].Revista medica del Instituto Mexicano del Seguro Social · 2023Observational
- External validation of BIA equations to estimate appendicular skeletal muscle mass in older adults: Importance of the bias analysis and derivation of correction factors to achieve agreement.Frontiers in nutrition · 2022Article
Corrections and comments
- Erratum issued
Authors and funding
9 authors at 8 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPredictive equations (PEs) for estimating resting energy expenditure (REE) that have been developed from acute phase data may not be applicable in the late phase and vice versa. This study aimed to assess whether separate PEs are needed for acute and late phases of critical illness and to develop and validate PE(s) based on the results of this assessment.
methodsUsing indirect calorimetry, REE was measured at acute (≤5 days; n = 294) and late (≥6 days; n = 180) phases of intensive care unit admission. PEs were developed by multiple linear regression. A multi-fold cross-validation approach was used to validate the PEs. The best PEs were selected based on the highest coefficient of determination (R
resultsMean absolute percentage difference between predicted and measured REE was <20%, which is not clinically significant. Thus, a single PE was developed and validated from data of the larger sample size measured in the acute phase. The best PE for REE (kcal/day) was 891.6(Height) + 9.0(Weight) + 39.7(Minute Ventilation)-5.6(Age) - 354, with R
conclusionsSeparate PEs for acute and late phases may not be necessary. Thus, we have developed and validated a PE from acute phase data and demonstrated that it can provide optimal estimates of REE for patients in both acute and late phases.
trial registrationClinicalTrials.gov NCT03319329.
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