PubMed1997
The method of vectorisation and of summation of biochemical quantity vectors (SV), complemented by models, is suggested for description of data involving three or more quantities. By the SV method, the data of sample quantities are transformed into a vector which preserves sample quantity information. Examples are presented to demonstrate patient monitoring after acute myocardial infarction (AMI) by the SV method and by variously ordered sets of LD and CK patterns. Furthermore, compared with MM3/MM1 isoform ratios, the set of CK quantities (MM3, MM2, MM1) together with the basic model SV3 is able to monitor the processes of CK isoform changes and to indicate unusual quantity values compared with reference values. Similarly, the translation model SV3 with the set of MM3, MB2, MB1 quantities and dSV3 vectors, obtained by subtraction of the control vector from all resultant SV3 vectors, monitors individual deviations from the control values. In the case of inadequate SV ¿c¿ values, the SV3 translation model indicates a possibility of excess MM3 release from non-cardiac tissues. The SV method, with basic model SV5 and ordered set of LD quantities (1-5) enables AMI to be proved in the group of patients whose LD1/2 < 0.76 and activity of LD5 > 10%. In general, apart from isoenzyme data processing, the SV method can also be applied for processing other data object quantities.