Evidence map›Paper›PMID 38016112›Full record

Observational studyRevista medica del Instituto Mexicano del Seguro Social2023

[Correlation of equations for energy expenditure with indirect calorimetry in critically ill patients].

Angélica López-Villegas, María Natalia Gómez-González, Pedro Luis González-Carrillo

Abstract readEnglish AbstractObservational Study
In one paragraph

Observational study in Revista medica del Instituto Mexicano del Seguro Social, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

3 authors.

Angélica López-VillegasInstituto Mexicano del Seguro Social, Centro Médico Nacional del Bajío, Hospital de Especialidades No. 1, Servicio de Terapia Intensiva. León, Guanajuato, México.ORCID 0000-0003-1575-7439
María Natalia Gómez-GonzálezInstituto Mexicano del Seguro Social, Centro Médico Nacional del Bajío, Hospital de Especialidades No. 1, Servicio de Terapia Intensiva. León, Guanajuato, México.ORCID 0000-0001-9913-8533
Pedro Luis González-CarrilloInstituto Mexicano del Seguro Social, Centro Médico Nacional del Bajío, Hospital de Especialidades No. 1, Servicio de Terapia Intensiva. León, Guanajuato, México.ORCID 0000-0003-1235-9902

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Nutrition in the Intensive Care Unit (ICU) is a cornerstone; however, energy requirements are a controversial issue that has not yet been resolved. Calorimetry is the gold standard for calculating energy expenditure, but it is expensive and not available in all ICU areas. Formulas have been developed to calculate basal energy expenditure (BAE) and make the process easier. Objective: To validate the predictive formulas of BAE compared to that obtained with ventilatory indirect calorimetry (IC) within the nutritional assessment in ICU patients. Material and methods: Analytical cross-sectional retrolective study. We performed BAE measurement on patients in the ICU of a third level hospital with ventilatory indirect calorimetry and compared the results obtained with those of the Harris Benedict, Muffin-St. Jeor, Institute of Medicine, and Faisy equations. Results: A total of 49 patients were included; a moderate correlation with statistical significance was found between the BAE measurements obtained by indirect calorimetry, with those obtained by four predictive equations that were studied. The Faisy equation obtained the strongest correction with r = 0.461 (p = 0.001). Conclusion: The correlation between the BAE obtained by predictive equations and by IC goes from mild to moderate, due to the heterogeneity of critical patients and their changing nature throughout their disease.

Indexed as

Critical IllnessEnergy MetabolismCalorimetry, IndirectCross-Sectional StudiesHumansNutritional StatusCalorimetría IndirectaCalorimetry, IndirectCritical CareCross-Sectional StudiesCuidados CríticosEnergy MetabolismEstudios TransversalesFórmulas PredictivasMetabolismo EnergéticoPredictive Formulas

Identifiers

PMID38016112
PMCPMC11513400

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.