Carbohydrate-Deficient Transferrin (CDT) as a Biomarker of Alcohol Abuse: A Retrospective Study of the Italian Drinking Trend among Drivers from 2016 to 2022.
Denise FiorelliLeonardo RomaniMichele TregliaMargherita PallocciPierluigi PassalacquaLuca CoppetaLuigi Tonino MarsellaRoberta TittarelliPublished in: Toxics (2023)
Alcohol abuse is still one of the leading causes of death worldwide. Early diagnosis of alcohol abuse enables preventive intervention on the effects and risks associated with its consumption. Carbohydrate-deficient transferrin (CDT) is one of the most reliable biomarkers of chronic alcohol misuse. We retrospectively studied a population of 12,624 subjects who had their driving license suspended for driving under the influence of alcohol or drugs from 2016 to 2022. The analytical determination of CDT was performed following a certified high-performance liquid chromatography (HPLC) method. Data were split by year, age and gender. The majority of subjects with positive %CDT were male, although the trend of positivity was similar between males and females. A steady increase in both the number of tests performed and the number of positives was observed over the years. Patients aged 41-50 years had the highest prevalence, followed by 51-60, 31-40 and 18-30 years. CDT continues to be a steady marker for diagnosis of alcohol abuse in the majority of cases. Data emerging from our study are in line with the increasing national trends on traffic accidents, injuries and deaths related to alcohol and drug DUI (driving under the influence), requiring the implementation of preventive measures to limit this ever-growing phenomenon.
Keyphrases
- alcohol consumption
- high performance liquid chromatography
- randomized controlled trial
- end stage renal disease
- mass spectrometry
- primary care
- ms ms
- chronic kidney disease
- peritoneal dialysis
- tandem mass spectrometry
- chronic pain
- risk factors
- mental health
- emergency department
- risk assessment
- quality improvement
- big data
- machine learning
- electronic health record
- prognostic factors
- intimate partner violence
- data analysis