Sugano Mitsutoshi, Shimada Masashi, Moriyoshi Miho, Kitagawa Kiyoki, Nakashima Hiromi, Wada Hideo, Yanagihara Katsunori, Fujisawa Shinya, Yonekawa Osamu, Honda Takayuki
Department of Laboratory Medicine, Shinshu University School of Medicine, Matsumoto 390-8621, Japan.
Rinsho Byori. 2012 May;60(5):458-68.
Routine laboratory data are discussed by time series analysis in reversed clinicopathological conferences (R-CPC) at Shinshu University School of Medicine. We can identify fine changes in the laboratory data and the importance of negative data (without any changes) using time series analysis. Routine laboratory tests can be performed repeatedly and relatively cheaply, and time series analysis can be performed. The examination process of routine laboratory data in the R-CPC is almost the same as the process of taking physical findings. Firstly, general findings are checked and then the state of each organ is examined. Although routine laboratory data are cheap, we can obtain much more information about a patient's state than from physical examinations. In this R-CPC, several specialists in the various fields of laboratory medicine discussed the routine laboratory data of a patient, and we tried to understand the detailed state of the patient. R-CPC is an educational method to examine laboratory data and we, reconfirmed the usefulness of R-CPC to elucidate the clinical state of the patient.
信州大学医学院通过在逆向临床病理讨论会(R-CPC)中进行时间序列分析来讨论常规实验室数据。我们可以使用时间序列分析来识别实验室数据中的细微变化以及阴性数据(无任何变化)的重要性。常规实验室检查可以反复进行且成本相对较低,并且可以进行时间序列分析。R-CPC中常规实验室数据的检查过程与获取体格检查结果的过程几乎相同。首先,检查一般检查结果,然后检查每个器官的状态。虽然常规实验室数据成本低廉,但与体格检查相比,我们可以获得更多关于患者状态的信息。在本次R-CPC中,来自检验医学各个领域的几位专家讨论了一名患者的常规实验室数据,我们试图了解患者的详细状况。R-CPC是一种检查实验室数据的教育方法,我们再次确认了R-CPC在阐明患者临床状态方面的实用性。