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Accuracy of Resting Energy Expenditure Estimation Equations in Polio Survivors

  • François Genêt
    Correspondence
    Corresponding author François Genêt, MD, PhD, Service de MPR - CHU Poincaré, 104 Bld Raymond Poincaré, 92380 Garches, France.
    Affiliations
    Université Versailles-Saint-Quentin-en-Yvelines, “End:icap” U1179 Inserm, UFR des sciences de la santé-Simone-Veil, Versailles, France

    Département Parasport Santé, Service de médecine physique et de réadaptation, Hôpital Raymond-Poincaré, Assistance Publique–Hôpitaux de Paris (AP-HP), Garches, France

    UPOH (Unité Péri Opératoire du Handicap, Perioperative Disability Unit), Service de médecine physique et de réadaptation, Hôpital Raymond-Poincaré, Assistance Publique–Hôpitaux de Paris (AP-HP), Garches, France
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  • Marjorie Salga
    Affiliations
    Université Versailles-Saint-Quentin-en-Yvelines, “End:icap” U1179 Inserm, UFR des sciences de la santé-Simone-Veil, Versailles, France

    Département Parasport Santé, Service de médecine physique et de réadaptation, Hôpital Raymond-Poincaré, Assistance Publique–Hôpitaux de Paris (AP-HP), Garches, France

    UPOH (Unité Péri Opératoire du Handicap, Perioperative Disability Unit), Service de médecine physique et de réadaptation, Hôpital Raymond-Poincaré, Assistance Publique–Hôpitaux de Paris (AP-HP), Garches, France
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  • Gratiane De Brier
    Affiliations
    Service de médecine physique et de réadaptation, Hôpital d'Instruction des Armées Laveran, Marseille, France
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  • Arnaud-Xavier Jouvion
    Affiliations
    Service de médecine physique et de réadaptation, Hôpital d'Instruction des Armées Laveran, Marseille, France
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  • Guillaume Genêt
    Affiliations
    Université Versailles-Saint-Quentin-en-Yvelines, “End:icap” U1179 Inserm, UFR des sciences de la santé-Simone-Veil, Versailles, France

    Département Parasport Santé, Service de médecine physique et de réadaptation, Hôpital Raymond-Poincaré, Assistance Publique–Hôpitaux de Paris (AP-HP), Garches, France
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  • Frédéric Lofaso
    Affiliations
    Université Versailles-Saint-Quentin-en-Yvelines, “End:icap” U1179 Inserm, UFR des sciences de la santé-Simone-Veil, Versailles, France

    Service de médecine physique et de réadaptation, Hôpital d'Instruction des Armées Laveran, Marseille, France

    Service d'explorations fonctionnelles, Hôpital Raymond-Poincaré, Assistance Publique–Hôpitaux de Paris (AP-HP), Garches, France
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  • Hélène Prigent
    Affiliations
    Université Versailles-Saint-Quentin-en-Yvelines, “End:icap” U1179 Inserm, UFR des sciences de la santé-Simone-Veil, Versailles, France

    Service d'explorations fonctionnelles, Hôpital Raymond-Poincaré, Assistance Publique–Hôpitaux de Paris (AP-HP), Garches, France
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  • Maxime Obrecht
    Affiliations
    Service de médecine physique et de réadaptation, Hôpital d'Instruction des Armées Laveran, Marseille, France
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  • Sophie Dziri
    Affiliations
    Université Versailles-Saint-Quentin-en-Yvelines, “End:icap” U1179 Inserm, UFR des sciences de la santé-Simone-Veil, Versailles, France

    UPOH (Unité Péri Opératoire du Handicap, Perioperative Disability Unit), Service de médecine physique et de réadaptation, Hôpital Raymond-Poincaré, Assistance Publique–Hôpitaux de Paris (AP-HP), Garches, France
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  • Laurent Théfenne
    Affiliations
    Université Versailles-Saint-Quentin-en-Yvelines, “End:icap” U1179 Inserm, UFR des sciences de la santé-Simone-Veil, Versailles, France

    Military Educational Establishment of the Army Health Service, Ecole du Val de Grâce, 1 Pl. Alphonse Laveran, 75005 Paris, France
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Published:October 18, 2022DOI:https://doi.org/10.1016/j.apmr.2022.09.019

      Highlights

      • Weight gain in people with physical disabilities is becoming a public health issue.
      • Analysis of resting energy expenditure is interesting for this population.
      • Used equations overestimated the resting energy expenditure for people with physical disabilities.
      • Indirect calorimetry is a useful tool.

      Abstract

      Objective

      To evaluate the accuracy of 4 equations validated for the general population to determine resting energy expenditure (REE) in polio survivors.

      Design

      A descriptive, ambispective, single-center observational cohort study of minimal risk care.

      Setting

      Tertiary university care hospital.

      Participants

      DATAPOL database of polio survivors followed up in a specialist department (N=298).

      Interventions

      None.

      Main Outcomes Measures

      REE measurement by indirect calorimetry and estimated REE using 4 equations and comparing the values with indirect calorimetry. Analysis of correlations between measured REE and weight, height, and body mass index (BMI) and indicators of severity of polio sequelae.

      Results

      Of the 298 polio cases in the database between January 2014 and May 2017, 41 were included (19 men and 22 women). Mean±SD BMI was 26.0±5.6 kg/m2 (56.1% below 25). Measured REE correlated significantly and positively with weight and weaker with BMI. Correlations between measured and estimated REE were strong (between 0.49 and 0.59); correlations were strongest for the simplified World Health Organization and the Harris and Benedict equations. However, the equations systematically overestimated REE by more than 20%, especially in men. We calculated a correction factor for the World Health Organization scale: −340.3 kcal/d for women and −618.8 kcal/d for men.

      Conclusion

      Analysis of REE is important for polio survivors; The use of estimation equations could lead to the prescription of a nonadapted diet. We determined a correction factor that should be validated in prospective studies.

      Keywords

      List of abbreviations:

      BMI (body mass index), KAFO (knee-ankle-foot orthosis), MRC (Medical Reearch Council), REE (resting energy expenditure), WHO (World Health Organization)
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