Department of Clinical Biochemistry, Aalborg University Hospital, Aalborg, Denmark.
Department of Clinical Biochemistry, Aalborg University Hospital, Hobrovej 18-22, 9000 Aalborg, Denmark, Phone: +45 97649000.
Clin Chem Lab Med. 2018 Feb 23;56(3):463-470. doi: 10.1515/cclm-2017-0574.
Transference of reference intervals (RIs) from multicentre studies are often verified by use of a small number of samples from reference individuals or by the use of one serum sample (Serum X for NORIP RI). Despite recommended and appropriate methods, both have inconveniencies and drawbacks. Several attempts have been made to develop an indirect method, which uses historical data from the laboratory. These methods are retrospective relying on older test results. A near prospective method would be preferable for the laboratories introducing new methods or changing analytical platforms.
We performed a data mining experiment using results from our laboratory information system covering patients from a large geographic area. Request patterns for patients with assumed healthy characteristics were identified and used to extract laboratory results for calculation of new RI by an indirect method. Calculated RI and confidence intervals (CIs) were compared to transferred NORIP RI verified by NFKK Reference Serum X.
We found that our indirect method and NFKK Reference Serum X in general produced similar results when verifying transference of RI. The method produces results for all stratifications. Only single stratifications and one analyte showed unexplained incongruences to the NORIP RI.
Our results suggest using request patterns as a surrogate measure for good health status. This allows for a data mining method for validation of RI or validating their transference, which is likely to be applicable in countries with similar healthcare and laboratory information system.
从多中心研究中转用参考区间(RI)通常通过使用参考个体的少量样本或使用一个血清样本(用于 NORIP RI 的血清 X)进行验证。尽管有推荐和适当的方法,但这两种方法都有不便和缺点。已经有几次尝试开发一种间接方法,该方法使用实验室的历史数据。这些方法是回顾性的,依赖于较旧的测试结果。对于引入新方法或改变分析平台的实验室,使用近似前瞻性方法会更好。
我们使用覆盖大面积地理区域患者的实验室信息系统中的结果进行了数据挖掘实验。确定了具有假定健康特征的患者的请求模式,并将其用于提取实验室结果,以通过间接方法计算新的 RI。计算的 RI 和置信区间(CI)与通过 NFKK 参考血清 X 验证的转移 NORIP RI 进行了比较。
我们发现,我们的间接方法和 NFKK 参考血清 X 通常在验证 RI 转移时产生相似的结果。该方法产生了所有分层的结果。只有单一分层和一个分析物与 NORIP RI 不一致,无法解释。
我们的结果表明,可以将请求模式用作健康状况良好的替代衡量标准。这允许使用数据挖掘方法验证 RI 或验证其转移,这可能适用于具有类似医疗保健和实验室信息系统的国家。