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ORIGINAL RESEARCH article

Front. Nutr.
Sec. Clinical Nutrition
Volume 11 - 2024 | doi: 10.3389/fnut.2024.1504031

Energy intake insufficiency due to underestimated energy requirement by common predictive formulas can be identified by urinary amino acid levels in advanced heart failure Authors information

Provisionally accepted
Yoko Sakamoto Yoko Sakamoto 1Tomohito Ohtani Tomohito Ohtani 1*Kei Nakamoto Kei Nakamoto 2Fusako Sera Fusako Sera 1Shungo Hikoso Shungo Hikoso 3Yasushi Sakata Yasushi Sakata 1
  • 1 Department of Cardiovascular Medicine, Graduate School of Medicine, Osaka University, Suita, Japan
  • 2 Osaka Police Hospital, Osaka, Japan
  • 3 Department of Cardiovascular Medicine, Faculty of Medicine, Nara Medical University, Kashihara, Nara, Japan

The final, formatted version of the article will be published soon.

    Background: Elevated resting energy expenditure (REE) promotes cachexia, worsening prognosis in patients with advanced heart failure (HF). However, adequate assessment of energy balance is challenging because of unvalidated common prediction methods and unestablished determinants of REE, resulting in a lack of biomarkers for predicting insufficient energy intake.Objective: This cross-sectional study aimed to evaluate REE in patients with advanced HF and explore biomarkers for insufficient energy intake.We measured REE by indirect calorimetry and calculated the total energy expenditure (TEE) of 72 hospitalized patients with advanced-stage HF. We compared these values with commonly-used formulas and analyzed the associations between REE per body weight (REEBW) and parameters related to hemodynamics and HF severity. In 17 of 72 patients, plasma amino acid (AA) and 24-hour urinary AA concentrations were measured to analyze their correlations with energy balance, the ratio of caloric intake to REE.Results: REE and TEE values were significantly higher than the predicted values. The mean REEBW was 25 kcal/kg/day, while that for the underweight (<18.5 kg/m 2 ) was 28 kcal/kg/day. We found a significant negative correlation between REEBW and body mass index (BMI), but no significant correlation between REEBW and HF-related parameters. The difference between TEE and predicted TEE using the European Society for Clinical Nutrition and Metabolism formula was most significant in the underweight patients because of underestimation, whereas TEE and pTEE using our modified formula with coefficients by BMI categories did not differ. There was a significant correlation between energy balance and urinary histidine and its metabolite 3-methylhistidine excretion, but no significant correlation with serum albumin and other AA concentrations.Conclusions: Underweight patients with advanced HF require more energy per weight than the predicted value. Our proposed formula for pTEE in each BMI category may be useful in clinical practice to avoid underestimation of daily energy requirements. Inadequate energy intake, even with such an approach, may be identified by decreased urinary essential AA levels.

    Keywords: Resting energy expenditure, Urinary amino acids, histidine excretion, Advanced heart failure, Prediction model

    Received: 30 Sep 2024; Accepted: 31 Dec 2024.

    Copyright: © 2024 Sakamoto, Ohtani, Nakamoto, Sera, Hikoso and Sakata. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Tomohito Ohtani, Department of Cardiovascular Medicine, Graduate School of Medicine, Osaka University, Suita, Japan

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