PURPOSE: This study examined the patterns of drugs, poisons, and chemicals detected in autopsy samples performed in the Seoul Institute and other regional forensic offices of the National Forensic Service (NFS) between 2014 and 2016. METHODS: The investigation carried out using the laboratory information management system. Forensic toxicological identification and quantitation were performed in autopsy samples, including heart blood, peripheral blood, liver, kidney, vitreous humor and etc. Gas chromatography/mass spectrometry (GC-MS) and liquid chromatography-tandem mass spectrometry (LC-MS/MS) were used to analyze the drugs and poisons. RESULTS: Forensic autopsies were performed on 9,674 cases in this period. Based on the autopsy reports, 699 cases (7.2%) were considered as unnatural deaths caused by fatal intoxication. The number of male deaths was higher than that of female deaths, with the age of 50-59 being the most common age group. CONCLUSION: Drugs comprised the largest number of deaths due to poison, followed by alcohol, agrochemicals, drug with alcohol, carbon monoxide, and cyanide, in that order. Zolpidem was the most frequently used drug in all drug-related intoxication cases.
Agrochemicals ; Autopsy ; Carbon Monoxide ; Female ; Heart ; Humans ; Information Management ; Kidney ; Liver ; Male ; Mass Spectrometry ; Poisoning* ; Poisons ; Seoul ; Spectrum Analysis ; Vitreous Body

BACKGROUND: We aimed to assess the risk for coronary artery calcification (CAC) according to groups subdivided by body mass index (BMI) and waist circumference (WC) in apparently healthy Korean adults. METHODS: Thirty-three thousand four hundred and thirty-two participants (mean age, 42 years) in a health screening program were divided into three groups according to BMI: <23 kg/m² (normal), 23 to 25 kg/m² (overweight), and >25 kg/m² (obese). In addition, the participants were divided into two groups according to WC. Coronary artery calcium score (CACS) was measured with multi-detector computed tomography in all participants. Presence of CAC was defined as CACS >0. RESULTS: When logistic regression analysis was performed with the presence of CAC as the dependent variable, the risk for CAC increased as BMI increased after adjusting for confounding variables (1.102 [95% confidence interval (CI), 1.000 to 1.216]; 1.284 [95% CI, 1.169 to 1.410]; in the overweight and obese groups vs. the normal weight group). When the participants were divided into six groups according to BMI and WC, the subjects with BMI and WC in the obese range showed the highest risk for CAC (1.321 [95% CI, 1.194 to 1.461]) and those with BMI in the overweight range and WC in the obese range showed the second highest risk for CAC (1.235 [95% CI, 1.194 to 1.461]). CONCLUSION: Participants with obesity defined by both BMI and WC showed the highest risk for CAC. Those with BMIs in the overweight range but with WC in the obese range showed the second highest risk for CAC, suggesting that WC as a marker of obesity is more predictive of CAC than BMI.
Adult* ; Body Mass Index* ; Calcium ; Confounding Factors (Epidemiology) ; Coronary Vessels* ; Humans ; Logistic Models ; Mass Screening ; Obesity* ; Overweight ; Waist Circumference*