Beckman Lauren M, Boullata Joseph I, Fisher Paige L, Compher Charlene W, Earthman Carrie P
1 Department of Food Science and Nutrition, University of Minnesota, St Paul, Minnesota, USA.
2 Swedish Medical Center-Food and Nutrition Services, Englewood, Colorado, USA.
JPEN J Parenter Enteral Nutr. 2017 Mar;41(3):392-397. doi: 10.1177/0148607115595223. Epub 2016 Jul 11.
When managing patients with disorders that require clinical intervention, a practical assessment of body habitus is valued. The Duffull-Green lean body weight (LBW) equation was derived and validated in adults across a wide body mass index (BMI) range. Whether this predictive equation will perform well in patients at BMI extremes or perform better than a widely used empiric "ideal" body weight (IBW) equation is unknown.
Calculated LBW and calculated IBW were each compared with the dual-energy x-ray absorptiometry (DXA)-derived lean body mass (LBM) by simple linear regression. A mixed model was used to determine how well the LBW equation performed over time in patients with more than 1 DXA measurement.
At time 0, 32 patients were 18-67 years old, and all were obese (BMI: 36-65 kg/m), while the remaining 7 had parenteral nutrition-dependent intestinal failure (BMI: 17-25 kg/m). A subset of patients underwent bariatric surgery after time 0 (BMI at follow-up: 22-49 kg/m). The LBW equation was a predictor of LBM ( R = 0.67, P < .0001), while the IBW equation was not ( R = 0.04, P = .25). The LBW equation remained a predictor of LBM over time ( P < .0001) without significant interaction by number of months since time 0.
The Duffull-Green LBW equation successfully predicted lean body mass in a patient population with a wide range of BMIs at both a single point in time and after considerable weight loss. In the clinical setting, an equation that performs well in various disease states and body sizes is advantageous.
在管理需要临床干预的疾病患者时,对身体体型进行实际评估很有价值。Duffull - Green瘦体重(LBW)方程是在广泛的体重指数(BMI)范围内的成年人中推导并验证的。这个预测方程在BMI极端值的患者中是否能良好发挥作用,或者是否比广泛使用的经验性“理想”体重(IBW)方程表现更好尚不清楚。
通过简单线性回归将计算得出的LBW和计算得出的IBW分别与双能X线吸收法(DXA)得出的瘦体重(LBM)进行比较。使用混合模型来确定LBW方程在有多次DXA测量的患者中随时间的表现如何。
在时间点0时,32名患者年龄在18 - 67岁之间,均为肥胖患者(BMI:36 - 65 kg/m²),而其余7名患者患有肠外营养依赖型肠衰竭(BMI:17 - 25 kg/m²)。一部分患者在时间点0之后接受了减肥手术(随访时BMI:22 - 49 kg/m²)。LBW方程是LBM的预测指标(R = 0.67,P <.0001),而IBW方程不是(R = 0.04,P =.25)。LBW方程随时间仍然是LBM的预测指标(P <.0001),且自时间点0起的月数没有显著交互作用。
Duffull - Green LBW方程在单一时间点以及在体重显著减轻后,成功地在广泛BMI范围的患者群体中预测了瘦体重。在临床环境中,一个在各种疾病状态和体型中都表现良好的方程是有利的。