Grams R R, Lezotte D
J Med Syst. 1978;2(4):343-53. doi: 10.1007/BF02221900.
The large volumes of laboratory data currently available in clinical practice can lead to erroneous conclusions. Our current statistical interpretation of these data is univariate (one variable at a time) and often not age- and sex-corrected. Using an optimal technique of multivariate analysis, a SMAC profile of 19 tests performed on normal subjects resulted in over a 500% improvement in defining the reference range. Using physiologic subsets of the SMAC profile for patients, improvements in interpretation of between 100% and 300% are possible. Results indicate a serious clinical problem that will require modification of laboratory reports using modern technology as an adjunct for diagnostic medicine.
临床实践中目前可用的大量实验室数据可能会导致错误的结论。我们目前对这些数据的统计解释是单变量的(一次一个变量),并且通常没有进行年龄和性别校正。使用一种最优的多变量分析技术,对正常受试者进行的19项检测组成的SMAC检测项目在定义参考范围方面有超过500%的改善。对患者使用SMAC检测项目的生理亚组,在解释方面有100%至300%的改善是可能的。结果表明存在一个严重的临床问题,这将需要利用现代技术作为诊断医学的辅助手段来修改实验室报告。