Anatol T I, Holder Y
Department of Surgery, Faculty of Medical Sciences, St. Augustine, Port-of-Spain, Trinidad.
West Indian Med J. 1995 Jun;44(2):67-9.
A statistical analysis was undertaken of 1158 children admitted to a surgical ward for the management of acute abdominal pain. Over two-thirds (40%) of the children had non-specific abdominal pain while 29.7% had appendicitis. The remainder were found to have had urinary tract infections (11.7%), constipation (7.5%), gastroenteritis (5.8%) or intussusception (5.3%). A stepwise discriminant analysis of the data collected during their evaluation was performed, using the BMDP statistical software package. Demographic and clinical features, as well as the results of ancillary investigations, were included in the data. The programme generated a classification function of a sub-set of 18 variables which best discriminated among the diagnostic groups. The coefficients of the classification functions were then combined with the rank order of selection of the variables to derive a scoring method for predicting the diagnosis. The results of urine culture were excluded since these would be unavailable during early clinical assessment. The scores for the diagnostic groups fell within the following ranges:-1-23 Non-specific abdominal pain; 20-48 appendicitis; 35-84 Gastroenteritis; 75-88 Constipation and 89-140 Intussusception. It is suggested that this scoring method be evaluated by a prospective study to test its validity.
对1158名因急性腹痛入住外科病房的儿童进行了统计分析。超过三分之二(40%)的儿童患有非特异性腹痛,而29.7%的儿童患有阑尾炎。其余儿童被发现患有尿路感染(11.7%)、便秘(7.5%)、肠胃炎(5.8%)或肠套叠(5.3%)。使用BMDP统计软件包对评估期间收集的数据进行了逐步判别分析。数据包括人口统计学和临床特征以及辅助检查结果。该程序生成了一个由18个变量组成的子集的分类函数,该函数能在诊断组之间进行最佳区分。然后将分类函数的系数与变量的选择顺序相结合,得出一种预测诊断的评分方法。尿培养结果被排除,因为在早期临床评估中无法获得这些结果。各诊断组的分数范围如下:-1至23分,非特异性腹痛;20至48分,阑尾炎;35至84分,肠胃炎;75至88分,便秘;89至140分,肠套叠。建议通过前瞻性研究对这种评分方法进行评估,以检验其有效性。