Discriminant analysis of biochemical parameters in liver disease

Discriminant function analysis has been used to investigate the relative value of six biochemical parameters (plasma ferritin, C-reactive-protein, bilirubin, alkaline phosphatase, glutamic oxaloacetic acid transaminase and albumin) in the diagnosis of liver disease. This was done among four groups totalling 70 subjects including healthy controls and patients with acute viral hepatitis, liver cirrhosis and primary hepatocellular carcinoma. Albumin had most value in distinguishing between groups, followed cumulatively by ferritin, alkaline phosphatase, C-reactive protein, bilirubin and glutamic oxaloacetic acid transaminase. However, if data on albumin, alkaline phosphatase, bilirubin and glutamic oxaloacetic acid transaminase had already been routinely collected, there would be no advantage in collecting data on ferritin and C-reactive protein. Any four of the six parameters would be of about equal value in distinguishing between diagnostic groups. When the data on all six biochemical parameters was combined in an optimum way, about 66% of all individuals could be correctly assigned to one of the four groups using biochemical markers alone. While the control subjects and patients with acute viral hepatitis formed a relatively well defined, tight cluster (apart from two patients with acute viral hepatitis), patients with liver cirrhosis and primary hepatocellular carcinoma were almost indistinguishable, using these biochemical parameters. If the latter two groups were pooled, then about 86% of subjects could be correctly classified.