Hekking M, Lindemans J, Gelsema E S
Department of Medical Informatics, Erasmus University, Rotterdam, The Netherlands.
Clin Biochem. 1995 Dec;28(6):581-5. doi: 10.1016/0009-9120(95)02008-x.
To determine and compare the shape and location of three data sets of arterial pH, PCO2, and BE values from intensive care patients in a new acid-base chart for the purpose of deriving multivariate reference regions.
The new chart is constructed by applying a statistical technique called principal component analysis (PCA). Three different data sets, each comprised of 1500 arterial pH, PCO2, and BE values, were subjected to PCA. The 3 data sets were collected in a respiratory intensive care unit (ICU) of a University Hospital, in a general ICU of a District Hospital, and in a neonatal ICU of a Children's Hospital.
The outlines of the resulting charts are similar for all 3 data sets, but the representations of the three distributions in the new chart are highly dissimilar, both in shape and in location.
PCA can be used to derive a patient-based reference region for arterial pH, PCO2, and BE values. Furthermore, the new chart may be useful for the graphical monitoring of acid-base data because distances between consecutive observations are faithfully represented.
在一张新的酸碱图表中确定并比较来自重症监护患者的三组动脉血pH值、PCO₂值和碱剩余(BE)值数据集的形状和位置,以得出多变量参考区域。
通过应用一种名为主成分分析(PCA)的统计技术构建新图表。对三个不同的数据集进行PCA,每个数据集包含1500个动脉血pH值、PCO₂值和BE值。这三个数据集分别收集于一所大学医院的呼吸重症监护病房(ICU)、一所地区医院的综合ICU以及一所儿童医院的新生儿ICU。
所有三个数据集生成的图表轮廓相似,但新图表中三种分布的呈现,在形状和位置上都极为不同。
PCA可用于得出基于患者的动脉血pH值、PCO₂值和BE值参考区域。此外,新图表可能有助于酸碱数据的图形化监测,因为连续观察值之间的距离得到了如实呈现。