Prediction model for anabolic androgenic steroid positivity in forensic autopsy cases - a new tool to the autopsy room

Non-prescription use of anabolic androgenic steroids (AAS) is associated with an increased risk of premature death. However, these substances are seldom screened in connection with forensic cause-of-death investigation, unless the forensic pathologist specifically suspects use, often based on a positive AAS use history. Since AAS use is often concealed from others, this practice may lead to mistargeting of these analyses and significant underestimation of the true number of AAS positive cases undergoing forensic autopsy. Thus, more accurate diagnostic tools are needed to identify these cases. The main objective of this study was to determine, whether a multivariable model could predict AAS urine assay positivity in forensic autopsies. We analyzed retrospectively the autopsy reports of all cases that had been screened for AAS during forensic cause-of-death investigation between 2016-2019 at the Finnish Institute for Health and Welfare forensic units (n = 46). Binary logistic regression with penalized maximum likelihood estimation was used to generate a nine-variable model combining circumferential and macroscopic autopsy-derived variables. The multivariable model predicted AAS assay positivity significantly better than a "conventional" model with anamnestic information about AAS use only (area under the receiver operating characteristic curve [AUC] = 0.968 vs. 0.802, p = 0.005). Temporal validation was conducted in an independent sample of AAS screened cases between 2020-2022 (n = 31), where the superiority of the multivariable model was replicated (AUC = 0.856 vs. 0.644, p = 0.004). Based on the model, a calculator predicting AAS assay positivity is released as a decision-aiding tool for forensic pathologists working in the autopsy room.

Association of anabolic androgenic steroid use with perimortem polypharmacy, antemortem prescription drug use, and utilization of health care services - A Finnish triple register study of forensic autopsy cases

Anabolic androgenic steroid (AAS) use has previously been associated with complex polysubstance use that may increase morbidity and mortality among these individuals. In this study we aimed to further describe the features of perimortem polysubstance use, antemortem central nervous system (CNS) drug use and health care service utilization of AAS using males that suffer premature death. The main sample included all cases that were screened for AAS in connection with forensic autopsy between 2016-2019 and tested positive (n = 16). The control samples included autopsy cases that were screened for AAS but tested negative (n = 30) and randomly selected, age and sex matched autopsy cases not suspected of having used AAS but were otherwise fully toxicologically investigated (n = 43). Postmortem toxicological results were used for perimortem polysubstance use prevalence and severity estimation. Antemortem CNS drug use was calculated from a national register of reimbursed prescription medicines, and health care utilization from public health care registers, covering the last five years of life. Perimortem polysubstance use was prevalent in all groups, but the AAS positive had a tendency for greater CNS drug polypharmacy and the highest number of antemortem CNS drug purchases during the last five years of life, with a median of 14.5 purchases/person, vs. 1/person in the AAS negative and 0/person in the random group (Kruskal-Wallis H test, p < .001). Yearly medical contacts increased in all groups as death approached. Our findings suggest that prescription CNS drug use may play a significant role in polysubstance use disorders of AAS using males that suffer premature death.

Completed suicides of citalopram users-the role of CYP genotypes and adverse drug interactions

Depression is known to be a risk factor for suicide. Currently, the most used antidepressants are selective serotonin reuptake inhibitors (SSRIs). Not all users, however, benefit from them. In such cases, treatment failure can be explained in part by genetic differences. In this study, we investigated the role of pharmacogenetic factors in citalopram-positive completed suicides (n = 349). Since citalopram is metabolized by CYP2C19 and CYP2D6 enzymes, the study population was genotyped for clinically relevant CYP2C19 and CYP2D6 polymorphisms and CYP2D6 copy number variation. To assess genetic differences between suicide cases and Finns in general, Finnish population samples (n = 855) were used as controls. Also, the role of drug interactions among suicide cases was evaluated. We found enrichment of a combined group of genetically predicted poor and ultrarapid metabolizer phenotypes (gMPs) of CYP2C19 among suicide victims compared to controls 0.356 [0.31-0.41] vs. 0.265 [0.24-0.30] (p = 0.0065). In CYP2D6 gMPs, there was no difference between cases and controls when the study population was analyzed as a whole. However, there were significantly more poor metabolizers among females who committed suicide by poisoning compared to female controls. In 8% of all drug poisoning deaths, lifetime drug-drug interaction was evaluated having a contribution to the fatal outcome. From clinical perspective, pharmacogenetic testing prior to initiation of SSRI drug could be beneficial. It may also be useful in medico-legal settings as it may elucidate obscure poisoning cases. Also, the possibility of unintentional drug interactions should be taken into account in drug poisoning deaths.