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In a double blind controlled trial, 24 hour DCG records were obtained from 70 patients with ventricular premature contraction (VPC, twice during run-in observation and once at the end of 2 weeks treatment with metoprolol or propranolol. Each record was summarized in a form of 6-point counts, each point consisting of 4 hours'VPC counts. Then the differences between the pre-and postmedication data of corresponding time points were taken to obtain differential data, which were subjected to principal component analysis (PCA), cluster analysis (CA) and periodic regression analysis (PRA). The 6-point VPC counts were presented as a set of preand postmedication plottings to 5 raters (cardiologists) who independently assessed the degree of improvement in VPC counts on a 6-ordered-categorical scale. The reliability of judgment was 76 %. According to the extent of disagreement in the rating, these data were classified into 2 groups of good and poor agreement, and analyzed by means of stepwise regression analysis (SRA) to clarify the policy of judgment. The results of PCA of the differential data indicated that the size factor (the difference in the total VPC counts) occupied 73 % of the overallvariance and that the shape factors (the pattern of the differential plotting) of day-midnight and morning-evening contrasts held 64 % of the nonsize variance.

The Size and Shape Factors in the Assessment of Improvement in Ventricular Premature Contraction