Abdel-Rahman Susan M, Ahlers Nichole, Holmes Anne, Wright Krista, Harris Ann, Weigel Jaylene, Hill Talita, Baird Kim, Michaels Marla, Kearns Gregory L
Division of Clinical Pharmacology and Medical Toxicology, Children's Mercy Hospitals and Clinics, Kansas City, Missouri ; Department of Pediatrics, University of Missouri-Kansas City, School of Medicine, Kansas City, Missouri.
J Pediatr Pharmacol Ther. 2013 Apr;18(2):112-21. doi: 10.5863/1551-6776-18.2.112.
To validate the recently described Mercy method for weight estimation in an independent cohort of children living in the United States.
Anthropometric data including weight, height, humeral length, and mid upper arm circumference were collected from 976 otherwise healthy children (2 months to 14 years old). The data were used to examine the predictive performances of the Mercy method and four other weight estimation strategies (the Advanced Pediatric Life Support [APLS] method, the Broselow tape, and the Luscombe and Owens and the Nelson methods).
THE MERCY METHOD DEMONSTRATED ACCURACY COMPARABLE TO THAT OBSERVED IN THE ORIGINAL STUDY (MEAN ERROR: -0.3 kg; mean percentage error: -0.3%; root mean square error: 2.62 kg; 95% limits of agreement: 0.83-1.19). This method estimated weight within 20% of actual for 95% of children compared with 58.7% for APLS, 78% for Broselow, 54.4% for Luscombe and Owens, and 70.4% for Nelson. Furthermore, the Mercy method was the only weight estimation strategy which enabled prediction of weight in all of the children enrolled.
The Mercy method proved to be highly accurate and more robust than existing weight estimation strategies across a wider range of age and body mass index values, thereby making it superior to other existing approaches.
在美国独立的儿童队列中验证最近描述的Mercy体重估计方法。
收集了976名健康儿童(2个月至14岁)的人体测量数据,包括体重、身高、肱骨长度和上臂中段周长。这些数据用于检验Mercy方法和其他四种体重估计策略(高级儿科生命支持[APLS]方法、 Broselow卷尺、Luscombe和Owens方法以及Nelson方法)的预测性能。
Mercy方法显示出与原始研究中观察到的准确性相当(平均误差:-0.3千克;平均百分比误差:-0.3%;均方根误差:2.62千克;95%一致性界限:0.83-1.19)。该方法对95%的儿童体重估计在实际体重的20%以内,相比之下,APLS方法为58.7%,Broselow方法为78%,Luscombe和Owens方法为54.4%,Nelson方法为70.4%。此外,Mercy方法是唯一能够对所有入组儿童进行体重预测的体重估计策略。
Mercy方法被证明高度准确,并且在更广泛的年龄和体重指数值范围内比现有的体重估计策略更稳健,因此优于其他现有方法。