Van Loon H, Saverys V, Vuylsteke J P, Vlietinck R F, Van den Berghe H
Am J Clin Nutr. 1987 Feb;45(2):488-93. doi: 10.1093/ajcn/45.2.488.
In a cross-sectional study, children 0-6 yr of age from eight different population groups in Africa and Asia were examined. Clinical assessment defined 8750 children as being well nourished and 194 as having marasmus. Height, weight, arm circumference (AC), and triceps skinfold thickness were measured; the latter two measurements and the clinical assessment were done by the same observer. Based on data from normal children, local growth curves were computed for each group. Each child's growth was expressed in standard deviation scores (SDS) of his own group. On the basis of the results of a discriminant analysis, all variables were ranked by their decreasing power to discriminate between normal and marasmic children. For 83% of the children one measurement (AC/age) is sufficient to classify them definitely; for the others several variables are needed. This strategy yields an overall sensitivity of 80%, a specificity of 97%, and a positive predictive value of 38%.
在一项横断面研究中，对来自非洲和亚洲八个不同人群组的0至6岁儿童进行了检查。临床评估将8750名儿童定义为营养良好，194名儿童患有消瘦症。测量了身高、体重、上臂围（AC）和三头肌皮褶厚度；后两项测量以及临床评估由同一名观察者进行。根据正常儿童的数据，为每个组计算了局部生长曲线。每个儿童的生长情况用其所在组的标准差分数（SDS）表示。根据判别分析的结果，所有变量按区分正常儿童和消瘦儿童的能力从高到低进行排序。对于83%的儿童，一次测量（AC/年龄）就足以明确对他们进行分类；对于其他儿童，则需要几个变量。该策略的总体敏感性为80%，特异性为97%，阳性预测值为38%。
