高分辨率三维光子扫描衍生方程改善了不同人群的体表面积预测。
High-Resolution Three-Dimensional Photonic Scan-Derived Equations Improve Body Surface Area Prediction in Diverse Populations.
机构信息
New York Obesity Research Center, Department of Medicine, College of Physicians and Surgeons, Columbia University, New York, New York, USA.
Thornton Consulting, Mahopac, New York, USA.
出版信息
Obesity (Silver Spring). 2020 Apr;28(4):706-717. doi: 10.1002/oby.22743. Epub 2020 Feb 26.
OBJECTIVE
Equations for predicting body surface area (BSA) produce flawed estimates, especially for individuals with obesity. This study aimed to compare BSA measured by a three-dimensional photonic scanner (3DPS) with BSA predicted by six commonly cited prediction equations and to develop new prediction equations if warranted.
METHODS
The 3DPS was validated against manual measurements by breadth caliper for body thicknesses measured at three anatomical sites on a mannequin. BSA was derived from 3DPS whole-body scans of 67 males and 201 females, aged 18 to 83 years, with BMI between 17.8 and 77.8 kg/m and varied races/ethnicities.
RESULTS
Width and depth measurements by 3DPS and caliper were within 1%, except for hip, with an error of 1.8%. BSA differed from BSA predicted by each equation (P < 0.05), except for males by DuBois and DuBois (P = 0.60), Tikuisis (P = 0.27), and Yu (P = 0.45) and for females by Tikuisis (P = 0.70). The combined and sex-specific equations obtained by regressing ln(BSA) on ln(weight in kilograms [W]) and ln(height in meters [H]) are as follows (R and SEE correspond to ln[BSA]): combined, BSA = 0.03216 × W × H , R = 0.982, SEE = 0.021; males, BSA = 0.01624 × W × H ; and females, BSA = 0.01522 × W × H , R = 0.986, SEE = 0.019.
CONCLUSIONS
New height and weight BSA equations improve BSA estimation in individuals with BMI ≥ 40 and in African Americans, Hispanic Americans, and Asian Americans.
目的
预测体表面积（BSA）的公式会产生有缺陷的估计值，尤其是对于肥胖个体而言。本研究旨在比较三维光子扫描仪（3DPS）测量的 BSA 与六种常用预测公式预测的 BSA，并在有必要时开发新的预测公式。
方法
3DPS 通过在人体模型上三个解剖部位的宽度卡尺测量来验证人体厚度的手动测量。BSA 是从 3DPS 对 67 名男性和 201 名女性的全身扫描中得出的，年龄在 18 至 83 岁之间，BMI 在 17.8 至 77.8kg/m 之间，种族/民族多样。
结果
3DPS 和卡尺的宽度和深度测量值相差 1%以内，除了臀部，误差为 1.8%。BSA 与每个公式预测的 BSA 不同（P<0.05），但男性除外，DuBois 和 DuBois（P=0.60）、Tikuisis（P=0.27）和 Yu（P=0.45），女性除外，Tikuisis（P=0.70）。通过将 ln（BSA）回归到 ln（体重[kg]（W）和 ln（身高[m]（H））获得的组合和性别特异性公式如下（R 和 SEE 对应于 ln[BSA]）：合并，BSA=0.03216×W×H，R=0.982，SEE=0.021；男性，BSA=0.01624×W×H；女性，BSA=0.01522×W×H，R=0.986，SEE=0.019。
结论
新的身高和体重 BSA 公式可提高 BMI≥40 和非裔美国人、西班牙裔美国人和亚裔美国人的 BSA 估计值。
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