Hamilton M
J Clin Pathol. 1977 May;30(5):454-9. doi: 10.1136/jcp.30.5.454.
Tests of hepatic function do not correlate highly and this, together with their skew distribution, makes the information provided by them difficult to interpret. By means of an appropriate transformation it is possible to normalise their distributions so that the information from them can be combined in the form of a discriminant function which is not only easy to interpret but gives an index of severity of disease which is more reliable than any one single test. In this study nine tests were examined, and after normalisation it was found that only four tests were required to present almost all the information available in the nine. A formula is given for calculating the index in T-score form, which is particularly easy to interpret. A discriminant function of the type described retains the maximum information with the minimum number of biochemical tests. It therefore contributes to the solution of a problem which is causing increasing concern--the exponential increase in the number of investigations which the hospital services will soon find it impossible to bear.
肝功能检查结果之间的相关性不高,再加上其分布呈偏态,使得这些检查所提供的信息难以解读。通过适当的变换,可以使其分布正常化,从而能够将这些检查的信息组合成一个判别函数的形式。这个判别函数不仅易于解读,还能给出一个疾病严重程度指数,该指数比任何一项单一检查都更可靠。在本研究中,对九项检查进行了评估,正常化后发现只需四项检查就能呈现九项检查中几乎所有可用的信息。文中给出了一个以T分数形式计算该指数的公式,该公式特别易于解读。所述类型的判别函数以最少数量的生化检查保留了最大量的信息。因此,它有助于解决一个日益受到关注的问题——医院服务部门很快就会不堪承受的检查项目数量呈指数级增长。