Optimization of cloned enzyme donor immunoassay cut-offs for drugs of abuse in post-mortem whole blood.


Journal

Forensic science international
ISSN: 1872-6283
Titre abrégé: Forensic Sci Int
Pays: Ireland
ID NLM: 7902034

Informations de publication

Date de publication:
Jul 2020
Historique:
received: 14 02 2020
revised: 31 03 2020
accepted: 03 04 2020
pubmed: 1 5 2020
medline: 2 2 2021
entrez: 1 5 2020
Statut: ppublish

Résumé

Immunoassay (IA) tests are not widely applied in post-mortem samples, since they are based on technologies requiring relatively non-viscous specimens, and compounds originating from the degradation of proteins and lipids during the post-mortem interval can alter the efficiency of the test. However, since the extraction techniques for IA tests are normally rapid and low-cost, IA could be used as near-body drug-screening for the classes of drugs most commonly found in Italy and Europe. In this study, semi-quantitative results on post-mortem whole blood samples obtained through CEDIA analysis (cannabinoids, cocaine, amphetamine compounds, opiates and methadone), were compared with results of confirmatory analysis obtained using GC-MS. Screening cut-offs for all drugs were retrospectively optimized. Post-mortem whole blood samples from autopsy cases of suspected fatal intoxication were collected over 3 years. Samples were initially analyzed through CEDIA (CEDIA, ILab 650, Werfen). Confirmatory analyses were then performed by GC-MS (QP 2010 Plus, Shimadzu). Screening cut-offs were retrospectively optimized using Receiver Operating Characteristic (ROC) analysis. CEDIA results were available for 125 samples. Two-hundred-eighty-nine (289) positive screening results were found. Among these, 162 positive confirmation results were obtained. Optimized screening cut-offs were as follows: 6.5ng/ml for THC; 4.2ng/ml for THC-COOH; 12.0ng/ml for cocaine; 6.6ng/ml for benzoylecgonine; 6.4ng/ml for opiates; 2.0ng/ml for methadone. Analysis of ROC-curves showed a satisfying degree of separation in all tests except for amphetamine compounds, with areas under the curve (AUC) between 0.915 (THC) and 0.999 (for benzoylecgonine and methadone). The results of the study showed that CEDIA screening at the optimized cut-offs exhibits a very high sensitivity and good specificity and positive predictive value (PPV) for cannabinoids, cocaine and metabolites, opiates and methadone. A high number of false positives (n=19) for amphetamine compounds was observed at the optimized cut-off, resulting in a very low PPV, which is also influenced by the very low number of TP (n=4). The results of the study show that the CEDIA is a valuable screening test on post-mortem whole blood for cannabinoids, cocaine and metabolites, opiates and methadone, but it is not recommended for amphetamine compounds, due to the high number of false positives. The strengths of the study are the large sample size, the inclusion of post-mortem cases only and the high level of sensitivity and specificity obtained at the optimized cut-offs.

Identifiants

pubmed: 32353744
pii: S0379-0738(20)30153-5
doi: 10.1016/j.forsciint.2020.110291
pii:
doi:

Substances chimiques

Amphetamines 0
Cannabinoids 0
Illicit Drugs 0
Opiate Alkaloids 0
Cocaine I5Y540LHVR
Methadone UC6VBE7V1Z

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

110291

Informations de copyright

Copyright © 2020 Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The author(s) declare(s) that there is no conflict of interest.

Auteurs

Guido Pelletti (G)

Department of Medical and Surgical Sciences, Unit of Legal Medicine, University of Bologna, Via Irnerio 49, 40126, Bologna, Italy. Electronic address: guidopelletti@gmail.com.

Francesca Rossi (F)

Department of Medical and Surgical Sciences, Unit of Legal Medicine, University of Bologna, Via Irnerio 49, 40126, Bologna, Italy. Electronic address: francesca.rossi@unibo.it.

Marco Garagnani (M)

Department of Medical and Surgical Sciences, Unit of Legal Medicine, University of Bologna, Via Irnerio 49, 40126, Bologna, Italy. Electronic address: marco.garagnani@unibo.it.

Rossella Barone (R)

Department of Medical and Surgical Sciences, Unit of Legal Medicine, University of Bologna, Via Irnerio 49, 40126, Bologna, Italy. Electronic address: rossella.barone3@unibo.it.

Raffaella Roffi (R)

Department of Medical and Surgical Sciences, Unit of Legal Medicine, University of Bologna, Via Irnerio 49, 40126, Bologna, Italy. Electronic address: raffaella.roffi@unibo.it.

Paolo Fais (P)

Department of Medical and Surgical Sciences, Unit of Legal Medicine, University of Bologna, Via Irnerio 49, 40126, Bologna, Italy. Electronic address: paolo.fais@unibo.it.

Susi Pelotti (S)

Department of Medical and Surgical Sciences, Unit of Legal Medicine, University of Bologna, Via Irnerio 49, 40126, Bologna, Italy. Electronic address: susi.pelotti@unibo.it.

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Classifications MeSH