Validation of the Bayesian Alcoholism Test compared to single biomarkers in detecting harmful drinking.

Aims: Conventional tests for alcohol dependence often fail to detect hazardous and harmful alcohol use (HHAU) accurately. We previously validated the Bayesian Alcoholism Test (BAT) for the detection of HHAU among males. This uses 15 biochemical and clinical variables, including questionnaire data to calculate the probability of harmful (>80 g alcohol/day), hazardous (40-80 g/day) and 'moderate' (<40 g/day) drinking.

Craving and withdrawal as core symptoms of alcohol dependence.

There is ongoing debate regarding the validity of the distinction of alcohol abuse and dependence, the distinction between normality and alcohol abuse, and the absence of craving in the DSM-IV classification of alcohol use disorders. In this study, we examine the discriminant validity of the DSM-IV alcohol use disorder diagnoses in three different populations (98 patients from an alcohol treatment service, 68 nontreatment-seeking heavy drinkers, and 75 psychiatric outpatients). We compare the results of the DSM-IV classification with an alternative classification that requires craving and withdrawal for the diagnosis of dependence and at least two DSM-IV abuse-dependence symptoms for the diagnosis of abuse: the Craving Withdrawal Model (CWM).