碳水化合物缺乏转铁蛋白(CDT)作为评估高危酒后驾驶人饮酒的生物标志物

K. Wolff
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引用次数: 1

摘要

酒精消费生物标志物的诊断价值因调查人群而异。在这方面,需要澄清用于帮助医疗评估人员支持酒后驾车犯罪后重返驾驶的生物标志物的选择。采集血液样本(5mL血清和3.5mL全血EDTA),测量碳水化合物缺乏性转铁蛋白(%CDT)作为酒精消耗的生物标志物,与γ -谷氨酰转移酶(GGT)、平均红细胞体积(MCV)、天冬氨酸转氨酶(AST)和丙氨酸转氨酶(ALT)进行比较。受试者被招募来反映英国一个高风险酒驾社区的特征。使用ICD-10或酒精使用障碍识别测试(AUDIT)来诊断酒精使用障碍。358名参与者被招募:165名寻求有害使用或酒精依赖治疗;142名寻求肝脏、糖尿病或肥胖问题治疗;51名社交饮酒者(对照组)。%CDT能够比其他生物标志物更准确地识别饮酒指示过度饮酒(Z=-9.017, p<0.001)。与GGT (+ve PPV 0.69)相比,包括混杂因素在内,%CDT的阳性预测值(+ve PPV 0.88)显示出最佳的诊断能力。当考虑到整个研究人群时,%CDT诊断过度饮酒的敏感性和特异性保持不变(曲线下面积0.91),而GGT的诊断能力较差(曲线下面积0.80)。当对包括糖尿病、肥胖和非酒精性肝病患者在内的人群进行测试时,%CDT作为过量饮酒(持续饮酒)的标志优于GGT:这一数据集最能模拟高风险酒驾人群中的数据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Carbohydrate Deficient Transferrin (CDT) as a Biomarker to Assess Drinking in High - Risk Drink Drivers
The diagnostic value of biomarkers of alcohol consumption differs dependent upon the population under investigation. In this regard, clarification is needed in the choice of biomarker used to aid the medical assessor support a return to driving after a drink-driving offence. Blood samples were collected (5mL serum and 3.5mL whole blood EDTA) to measure carbohydrate deficient transferrin (%CDT) as a biomarker of alcohol consumption compared to gamma glutamyl transferase (GGT), mean corpuscular volume (MCV), aspartate aminotransferase (AST), and alanine aminotransferase (ALT). Subjects were recruited to reflect the characteristics of a high-risk drink driving community in the United Kingdom. The ICD-10 or the Alcohol Use Disorders Identification Test (AUDIT) was used to diagnose an alcohol use disorder. 358 participants were recruited: 165 seeking treatment for harmful use or alcohol dependence: 142 seeking treatment for liver, diabetes or obesity problems: and 51 social drinkers (controls). %CDT was able to identify drinking indicative of excessive alcohol intake significantly more accurately than other biomarkers (Z=-9.017, p<0.001). The positive predictive value for %CDT (+ve PPV 0.88) demonstrated the best diagnostic power when tested compared to GGT (+ve PPV 0.69), inclusive of confounders. When the whole study population was taken into account the sensitivity and specificity of %CDT for the diagnosis of excessive alcohol use remained unchanged (area under curve 0.91) whereas the diagnostic power of GGT was poorer (area under curve 0.80). %CDT was superior to GGT as a marker of excessive alcohol consumption (continuous drinking) when tested against a population that included diabetic, obese and patients with non-alcoholic liver disease: a data set which bests mimics those seen in the high-risk drink driving population.
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