Body surface area prediction in normal-weight and obese patients
Body surface area prediction in normal-weight and obese patients
复制标题
DOI：
10.1152/ajpendo.2001.281.3.e586
复制
发表时间：
2001-09-01
影响因子：
5.1
通讯作者：
Lee, S
中科院分区：
文献类型：
--
作者：
Livingston, EH;Lee, S
经常用于预测体表面积（BSA）的方程中没有一个在肥胖患者中得到验证。我们应用身体尺寸缩放的原则，推导出一个改进的方程预测BSA仅从病人的体重。45例患者体重为51.3 - 248.6 kg，在校准天平上测量身高和体重，并通过几何方法计算BSA。将数据与大量已发表的BSA估计值相结合。BSA预测与常用的杜波依斯方程低估BSA肥胖患者高达20%。BSA与体重的关系式为幂函数：BSA（m（2））= 0.1173 × Wt（kg）（0.6466）。低于10 kg时，该方程显著偏离BSA与体重曲线，需要一组不同的系数：BSA（m（2））= 0.1037 x Wt（kg）（0.6724）。患者体重的身高和体重协方差
None of the equations frequently used to predict body surface area (BSA) has been validated for obese patients. We applied the principles of body size scaling to derive an improved equation predicting BSA solely from a patient's weight. Forty-five patients weighing from 51.3 to 248.6 kg had their height and weight measured on a calibrated scale and their BSA calculated by a geometric method. Data were combined with a large series of published BSA estimates. BSA prediction with the commonly used Du Bois equation underestimated BSA in obese patients by as much as 20%. The equation we derived to relate BSA to body weight was a power function: BSA (m(2)) = 0.1173 x Wt (kg)(0.6466). Below 10 kg, this equation deviated significantly from the BSA vs. body weight curve, necessitating a different set of coefficients: BSA (m(2)) = 0.1037 x Wt (kg)(0.6724). Covariance of height and weight for patients weighing