Introduction: 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. Methods: 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. Results: 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: 6.5 ng/ml for THC; 4.2 ng/ml for THC-COOH; 12.0 ng/ml for cocaine; 6.6 ng/ml for benzoylecgonine; 6.4 ng/ml for opiates; 2.0 ng/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). Discussion: 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). Conclusion: 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.

Optimization of cloned enzyme donor immunoassay cut-offs for drugs of abuse in post-mortem whole blood / Pelletti G.; Rossi F.; Garagnani M.; Barone R.; Roffi R.; Fais P.; Pelotti S.. - In: FORENSIC SCIENCE INTERNATIONAL. - ISSN 0379-0738. - STAMPA. - 312:(2020), pp. 110291.1-110291.6. [10.1016/j.forsciint.2020.110291]

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

Pelletti G.;Rossi F.;Garagnani M.;Barone R.;Roffi R.;Fais P.;Pelotti S.
2020

Abstract

Introduction: 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. Methods: 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. Results: 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: 6.5 ng/ml for THC; 4.2 ng/ml for THC-COOH; 12.0 ng/ml for cocaine; 6.6 ng/ml for benzoylecgonine; 6.4 ng/ml for opiates; 2.0 ng/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). Discussion: 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). Conclusion: 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.
2020
Optimization of cloned enzyme donor immunoassay cut-offs for drugs of abuse in post-mortem whole blood / Pelletti G.; Rossi F.; Garagnani M.; Barone R.; Roffi R.; Fais P.; Pelotti S.. - In: FORENSIC SCIENCE INTERNATIONAL. - ISSN 0379-0738. - STAMPA. - 312:(2020), pp. 110291.1-110291.6. [10.1016/j.forsciint.2020.110291]
Pelletti G.; Rossi F.; Garagnani M.; Barone R.; Roffi R.; Fais P.; Pelotti S.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/788839
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