Pelletti Guido, Garagnani Marco, Rossi Francesca, Roffi Raffaella, Barone Rossella, Pelotti Susi
Department of Medical and Surgical Sciences, Unit of Legal Medicine, University of Bologna, Via Irnerio 49, 40126, Bologna, Italy.
Forensic Sci Int. 2019 Jan;294:27-33. doi: 10.1016/j.forsciint.2018.10.023. Epub 2018 Nov 2.
Immunoassay (IA) tests should be able to detect low concentrations of illegal drugs when used for the screening of drugs in drivers. False negatives should be avoided, and false positives should be reduced as far as possible. In this study, semi-quantitative results for blood samples containing illicit drugs (cannabinoids, cocaine, amphetamines/methamphetamines, opiates and methadone) obtained with cloned enzyme donor immunoassay (CEDIA), were compared with results of confirmatory analysis performed through gas chromatography-mass spectrometry (GC-MS). Screening cut-off points for each class of drugs were retrospectively optimized.
Whole blood samples from drivers involved in road accidents in the period from January 2013-December 2017 were analyzed with CEDIA (4200 samples). Confirmatory analyses were performed through (GC-MS) on: (i) all samples with screening concentrations above 1ng/ml for at least one drug (positive screening results); (ii) 800 samples with screening concentration lower than 1ng/ml (negative screening results). Recommended per se limits in relation to driving under the influence of drugs were set as fixed values. Sensitivity, specificity, positive and negative predictive values were evaluated by contingency tables and compared to ROC-analysis in order to obtain ideal screening cut-offs.
CEDIA results were available for 4200 blood samples and 1172 positive screening results were found. Among these, 1008 confirmation analysis were obtained through GC-MS. Optimized screening cut-offs obtained through ROC analysis were as follows: 8.0ng/ml for THC; 5.5ng/ml for THC-COOH; 21.1ng/ml for cocaine; 6.9ng/ml for benzoylecgonine; 33.1ng/ml for opiates; 61.6ng/ml for amphetamines; 5.0ng/ml for methadone. Using these cut-offs, sensitivity was above 97% for THC-COOH, cocaine, benzoylecgonine, amphetamines, opiates and methadone, and 92% for THC; specificity was above 90% for cocaine, benzoylecgonine, amphetamines, opiates and methadone, 80% for THC and 89% for THC-COOH; negative predictive value was above 99% for all drugs and metabolites.
Previous studies have shown that CEDIA tests are useful for preliminary screening of serum and urine. Its implementation in whole blood is of primary importance for the assessment of impaired driving, since the per se limits of many European countries refer to whole blood, and preparation of the serum and/or the collection of urine is not always possible in the hospital emergency department, where blood samples are withdrawn. Our study shows that CEDIA tests on whole blood permit the definition of cut-off values with optimal sensitivity and negative predictive values for all analytes (near to 100%), including very good specificity.
免疫分析法(IA)检测用于筛查驾驶员体内的药物时,应能够检测出低浓度的非法药物。应避免出现假阴性结果,并尽可能减少假阳性结果。在本研究中,将通过克隆酶供体免疫分析法(CEDIA)获得的含有非法药物(大麻素、可卡因、苯丙胺/甲基苯丙胺、阿片类药物和美沙酮)的血液样本的半定量结果,与通过气相色谱-质谱联用仪(GC-MS)进行的确证分析结果进行了比较。对每类药物的筛查临界值进行了回顾性优化。
对2013年1月至2017年12月期间发生道路交通事故的驾驶员的全血样本进行CEDIA分析(4200份样本)。通过GC-MS对以下样本进行确证分析:(i)所有至少一种药物筛查浓度高于1ng/ml的样本(筛查结果为阳性);(ii)800份筛查浓度低于1ng/ml的样本(筛查结果为阴性)。将与药物影响下驾驶相关的推荐自身限值设定为固定值。通过列联表评估敏感性、特异性、阳性预测值和阴性预测值,并与ROC分析进行比较,以获得理想的筛查临界值。
获得了4200份血液样本的CEDIA结果,其中发现1172份筛查结果为阳性。在这些样本中,通过GC-MS获得了1008份确证分析结果。通过ROC分析获得的优化筛查临界值如下:四氢大麻酚(THC)为8.0ng/ml;四氢大麻酚酸(THC-COOH)为5.5ng/ml;可卡因为21.1ng/ml;苯甲酰芽子碱为6.9ng/ml;阿片类药物为33.1ng/ml;苯丙胺为61.6ng/ml;美沙酮为5.0ng/ml。使用这些临界值时,THC-COOH、可卡因、苯甲酰芽子碱、苯丙胺、阿片类药物和美沙酮的敏感性高于97%,THC的敏感性为92%;可卡因、苯甲酰芽子碱、苯丙胺、阿片类药物和美沙酮的特异性高于90%,THC的特异性为80%,THC-COOH的特异性为89%;所有药物和代谢物的阴性预测值均高于99%。
先前的研究表明,CEDIA检测可用于血清和尿液的初步筛查。其在全血检测中的应用对于评估驾驶能力受损至关重要,因为许多欧洲国家的自身限值是针对全血的,而且在采集血液样本的医院急诊科,并不总是能够制备血清和/或采集尿液。我们的研究表明,对全血进行CEDIA检测能够为所有分析物定义具有最佳敏感性和阴性预测值(接近100%)的临界值,包括非常好的特异性。