PROGNOSTIC FACTORS IN LIVER FAILURE IN CHILDREN BY DISCRIMINANT ANALYSIS OF CLINICAL DATA. A CHEMOMETRIC APPROACH
Keywords:
Chemometrics, clinical data, discriminant analysis, liver failure prognosisAbstract
Discriminant analysis was applied as an efficient method to identify an objective score concerning liver failure in children using clinical data. Discriminant analysis was not only used for classifying the patients according to the survival status, but also for detecting the most important factors that discriminate between surviving and deceased patients. Based on the considered factors, we were able to compute a complete separation between surviving and deceased patients. The factors responsible for the separation were age, K and total bilirubin (3rd sampling day). The smallest contribution was obtained for aspartate aminotransferase (3rd sampling day), hemoglobin, thrombocytes, albumin. The obtained results confirm that clinical analysis combined with the multidimensional analysis of data gives an interesting and very useful way for correlations, interpretations, problem solving and cost effectiveness.
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