Nutrition Department, Rouen University Hospital Center, 76000 Rouen, France.
Normandie University, URN, INSERM UMR 1073 «Nutrition, Inflammation et Dysfonction de l'axe Intestin-Cerveau», IRIB, 76000 Rouen, France.
Nutrients. 2018 Jan 10;10(1):63. doi: 10.3390/nu10010063.
Predictive equations have been specifically developed for obese patients to estimate resting energy expenditure (REE). Body composition (BC) assessment is needed for some of these equations. We assessed the impact of BC methods on the accuracy of specific predictive equations developed in obese patients. REE was measured (mREE) by indirect calorimetry and BC assessed by bioelectrical impedance analysis (BIA) and dual-energy X-ray absorptiometry (DXA). mREE, percentages of prediction accuracy (±10% of mREE) were compared. Predictive equations were studied in 2588 obese patients. Mean mREE was 1788 ± 6.3 kcal/24 h. Only the Müller (BIA) and Harris & Benedict (HB) equations provided REE with no difference from mREE. The Huang, Müller, Horie-Waitzberg, and HB formulas provided a higher accurate prediction (>60% of cases). The use of BIA provided better predictions of REE than DXA for the Huang and Müller equations. Inversely, the Horie-Waitzberg and Lazzer formulas provided a higher accuracy using DXA. Accuracy decreased when applied to patients with BMI ≥ 40, except for the Horie-Waitzberg and Lazzer (DXA) formulas. Müller equations based on BIA provided a marked improvement of REE prediction accuracy than equations not based on BC. The interest of BC to improve REE predictive equations accuracy in obese patients should be confirmed.
预测方程专门为肥胖患者开发，用于估计静息能量消耗 (REE)。这些方程中的一些需要身体成分 (BC) 评估。我们评估了 BC 方法对肥胖患者特定预测方程准确性的影响。通过间接热量测定法测量 REE (mREE)，并通过生物电阻抗分析 (BIA) 和双能 X 射线吸收法 (DXA) 评估 BC。比较了 mREE 和预测准确性的百分比（±mREE 的 10%）。研究了 2588 名肥胖患者的预测方程。平均 mREE 为 1788 ± 6.3 kcal/24 h。只有 Müller（BIA）和 Harris & Benedict（HB）方程提供的 REE 与 mREE 无差异。Huang、Müller、Horie-Waitzberg 和 HB 公式提供了更高的准确预测（>60%的病例）。对于 Huang 和 Müller 方程，BIA 比 DXA 提供了更好的 REE 预测。相反，对于 Horie-Waitzberg 和 Lazzer 公式，DXA 提供了更高的准确性。当应用于 BMI≥40 的患者时，准确性会降低，Horie-Waitzberg 和 Lazzer（DXA）公式除外。基于 BIA 的 Müller 方程显著提高了 REE 预测准确性，优于不基于 BC 的方程。BC 对改善肥胖患者 REE 预测方程准确性的作用需要进一步确认。
