Literature DB >> 28583147

Resting energy expenditure and optimal nutrition in critical care: how to guide our calorie prescriptions.

Oren Zusman1,2, Pierre Singer3,4.   

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Year:  2017        PMID: 28583147      PMCID: PMC5460320          DOI: 10.1186/s13054-017-1717-y

Source DB:  PubMed          Journal:  Crit Care        ISSN: 1364-8535            Impact factor:   9.097


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We thank Berger et al. [1] for their interesting comment regarding our study [2]. Briefly, they suggest that “feeding progression days” might induce bias so that the administered calories/resting energy expenditure (REE) percentage (% Adcal/REE) we show associated with better outcome is lower than the “true” mean. We agree that for the short-stayers included in the cited studies this remark is pertinent, but we would like to exclude studies based on predictive equations since they lack accuracy and may mislead our understanding. According to clinical practice [3], calories are usually increased progressively to the plateau target, but in addition, calories administered may vary during ICU stay due to interruptions in nutrition administration, making evaluations even more complicated. Our study, using thousands of measured REEs acquired by indirect calorimetry, was performed from admission, with a local strategy to quickly increase calorie intake to target. Following Berger et al.’s suggestion, we present here a sensitivity analysis, including only feeding days from day 3 and onwards, based on the fact that, from this day, calorie intake didn’t change significantly per day (Fig. 1 in our original study). We still found a significant association with mortality (p = 0.003). In addition, we have analyzed patients with more than ten evaluable ICU nutrition days. Figure 1 here shows the original curve along with the respective ones from the sensitivity analysis. The U-shaped curve is preserved, and the “optimal” point of % Adcal/REE after excluding two days is similar (71% after excluding first two days, and 80% including only patients with more than ten evaluable nutrition days). So the first days’ effect is minimal and does not change the study’s message, surely not moving the target to 95–105% as proposed by Berger et al. This does not fit the results reported in a supplemental parenteral nutrition study [4], possibly because it was powered to demonstrate a reduction in morbidity and not in mortality.
Fig. 1

Association of administered calories/REE percentage with mortality in different models

Association of administered calories/REE percentage with mortality in different models Practically, daily calorie needs and administration cannot be expected to be constant. After reanalysis, our observation still stresses the importance of using % Adcal/REE as measured by indirect calorimetry, as it demonstrated association with reduced mortality. Our take home message remains that our aim should be to target 100% of REE and, due to practicalities of daily care, ultimately achieve 70–80% over the course of the ICU stay. This may serve as a strong basis for further studies.
  4 in total

1.  NutritionDay ICU: A 7 year worldwide prevalence study of nutrition practice in intensive care.

Authors:  Itai Bendavid; Pierre Singer; Miriam Theilla; Michael Themessl-Huber; Isabella Sulz; Mohamed Mouhieddine; Christian Schuh; Bruno Mora; Michael Hiesmayr
Journal:  Clin Nutr       Date:  2016-08-09       Impact factor: 7.324

2.  Optimisation of energy provision with supplemental parenteral nutrition in critically ill patients: a randomised controlled clinical trial.

Authors:  Claudia Paula Heidegger; Mette M Berger; Séverine Graf; Walter Zingg; Patrice Darmon; Michael C Costanza; Ronan Thibault; Claude Pichard
Journal:  Lancet       Date:  2012-12-03       Impact factor: 79.321

3.  Resting energy expenditure, calorie and protein consumption in critically ill patients: a retrospective cohort study.

Authors:  Oren Zusman; Miriam Theilla; Jonathan Cohen; Ilya Kagan; Itai Bendavid; Pierre Singer
Journal:  Crit Care       Date:  2016-11-10       Impact factor: 9.097

4.  Optimal energy delivery and measured energy expenditure-impact of length of stay.

Authors:  Mette M Berger; Claude Pichard; Eric Fontaine
Journal:  Crit Care       Date:  2017-02-22       Impact factor: 9.097

  4 in total
  3 in total

1.  The lessons learned from the EAT ICU study.

Authors:  P Singer; M M Berger; P J M Weijs
Journal:  Intensive Care Med       Date:  2017-11-06       Impact factor: 17.440

Review 2.  Assessment of Metabolic and Nutritional Imbalance in Mechanically Ventilated Multiple Trauma Patients: From Molecular to Clinical Outcomes.

Authors:  Alexandru Florin Rogobete; Ioana Marina Grintescu; Tiberiu Bratu; Ovidiu Horea Bedreag; Marius Papurica; Zorin Petrisor Crainiceanu; Sonia Elena Popovici; Dorel Sandesc
Journal:  Diagnostics (Basel)       Date:  2019-11-01

3.  Reliability of ultrasound measurements of quadriceps muscle thickness in critically ill patients.

Authors:  Emmanuel Pardo; Hanen El Behi; Priscilla Boizeau; Franck Verdonk; Corinne Alberti; Thomas Lescot
Journal:  BMC Anesthesiol       Date:  2018-12-27       Impact factor: 2.217

  3 in total

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