Opioid Deaths: Trends, Biomarkers, and Potential Drug Interactions Revealed by Decision Tree Analyses.

Abstract:

:Opioid abuse is now the primary cause of accidental deaths in the United States. Studies over several decades established the cyclical nature of abused drugs of choice, with a current resurgence of heroin abuse and, more recently, fentanyl's emergence as a major precipitant of drug-related deaths. To better understand abuse trends and to explore the potential lethality of specific drug-drug interactions, we conducted statistical analyses of forensic toxicological data from the Wayne County Medical Examiner's Office from 2012-2016. We observed clear changes in opioid abuse over this period, including the rapid emergence of fentanyl and its analogs as highly significant causes of lethality starting in 2014. We then used Chi-square Automatic Interaction Detector (CHAID)-based decision tree analyses to obtain insights regarding specific drugs, drug combinations, and biomarkers in blood most predictive of cause of death or circumstances surrounding death. The presence of the non-opioid drug acetaminophen was highly predictive of drug-related deaths, likely reflecting the abuse of various combined acetaminophen-opioid formulations. The short-lived cocaine adulterant levamisole was highly predictive of a short post-cocaine survival time preceding sudden non-drug-related death. The combination of the opioid methadone and the antidepressant citalopram was uniformly linked to drug death, suggesting a potential drug-drug interaction at the level of a pathophysiological effect on the heart and/or drug metabolism. The presence of fentanyl plus the benzodiazepine midazolam was diagnostic for in-hospital deaths following serious medical illness and interventions that included these drugs. These data highlight the power of decision tree analyses not only in the determination of cause of death, but also as a key surveillance tool to inform drug abuse treatment and public health policies for combating the opioid crisis.

journal_name

Front Neurosci

authors

Saad MH,Savonen CL,Rumschlag M,Todi SV,Schmidt CJ,Bannon MJ

doi

10.3389/fnins.2018.00728

subject

Has Abstract

pub_date

2018-10-23 00:00:00

pages

728

eissn

1662-4548

issn

1662-453X

journal_volume

12

pub_type

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