Aj. Hartz et al., IDENTIFICATION OF HEAVY DRINKERS USING A COMBINATION OF LABORATORY TESTS, Journal of clinical epidemiology, 50(12), 1997, pp. 1357-1368
Objective: This study derived and evaluated a model that used results
of commonly performed laboratory tests to identify men who are heavy d
rinkers. Method: The results of 40 commonly available laboratory tests
were obtained on a diverse sample of 426 heavy drinkers and 188 light
drinkers. A logistic regression equation for identifying heavy drinke
rs was derived in a training data set of 411 subjects and tested in a
validation data set of 203 subjects. Results: Ten laboratory measureme
nts were included in the final regression equation: chloride, sodium,
ratio of direct to total bilirubin level, blood urea nitrogen, high de
nsity lipoproteins, monocyte count, phosphorus, platelets, aspartate a
minotransferase, and mean corpuscular hemoglobin. In the validation da
ta this model correctly identified 98% of the 161 heavy drinkers and 9
5% of the 42 light drinkers. Other models reported in previous literat
ure were applied to these subjects and did not perform as well. The mo
del performed better for subjects of lower socioeconomic status. Concl
usions: The laboratory tests in our model may help identify heavy drin
kers. The performance of models to identify heavy drinkers depends on
the demographic characteristics of the subjects. (C) 1997 Elsevier Sci
ence Inc.