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Jim Harasymiw

Publications and source records attributed to Jim Harasymiw.

3 recordsLinked to original sources

Using routine laboratory tests to detect heavy drinking in the general population.

This article describes a new biomarker known as the Early Detection of Alcohol Consumption (EDAC) test, which has been steadily penetrating the U.S. market. The EDAC uses routine laboratory tests to make a prediction of heavy drinking in any given person. When tested in mainstream insurance populations, the EDAC has shown twice the specificity of the traditional liver enzyme tests and is significantly more sensitive than the CDT test, which is expected because the EDAC uses a combination of laboratory tests. Maximum diagnostic accuracy is achieved when the CDT test is used to confirm a positive EDAC test. Since brief interventions have proven successful, the early identification of alcohol problems becomes a vital role for physicians. Improved awareness of alcohol misuse can certainly be accomplished through an increased use of biomarkers, with and without concomitant self-report. The ultimate goal is to facilitate early intervention and the successful management of patients diagnosed with heavy drinking.

Adolescent↗

Detection of alcohol misuse using a routine test panel: the early detection of alcohol consumption (EDAC) test.

AIMS: This study describes the derivation and validation of the early detection of alcohol consumption (EDAC) test, which uses linear discriminant function (LDF) analysis for the identification of alcohol misuse. This form of LDF aims to predict a categorical dependent variable (alcohol misuse) on the basis of several independent, predictor variables (routine laboratory tests). METHODS: EDAC was developed to classify individuals as heavy or light drinkers using a database of 1599 subjects recruited from 25 sites in the USA. The predictor variables for the LDF were 36 routine chemistry and haematology analytes. RESULTS: The EDAC model produced 80.7% sensitivity and 84.4% specificity, with an overall correct classification rate of 82.5%. Using a stepwise method, 20 of the 36 routine tests used in the LDF were selected as the optimal predictor variables. The top three variables with the highest contribution in the stepwise EDAC model were: bilirubin ratio (direct to total), aspartate aminotransferase and albumin. CONCLUSIONS: This study shows that LDF analysis in conjunction with new, user-friendly computer packages is a practical and cost-effective laboratory tool for detecting excessive drinking using blood constituents ordered routinely in a variety of clinical settings. Diagnostic performance can be adjusted to achieve higher specificity rates.

Adolescent↗