Legal Medicine最新文献

Investigations of suicide in countries of the former Soviet Union, which broke into 15 different countries in the early 1990s, require examinations of a combination of economic, social, and health factors. It is important to address these factors individually and to examine the various composite indicators for each. Moreover, it would be worthwhile to explore the potential applicability of a comprehensive worldwide index. We analyzed data from nine of the former Soviet countries for which both the annual suicide rate and the Global Competitiveness Index (GCI) were available for the years 2006–2017. We determined the precise relationships between the suicide rate and the GCI during this period in these nine countries as well as in nine countries with high suicide rates in Europe and Asia. The results indicated the following: (i) In six of the nine former Soviet countries with complete data, the suicide rate showed a relationship with the GCI. Notably, this relationship was inverse in all but one country. (ii) Among the nine European and Asian countries with high suicide rates, three exhibited a correlation between the suicide rate and the GCI. Measures to prevent suicide should be devised especially in countries of the former Soviet Union through collaboration among multiple fields and organizations, as necessary, with particular attention paid to countries with worse or worsening GCI values.

Lacosamide is a relatively new antiepileptic drug that exerts its anticonvulsant effect by selectively inactivating sodium channels. Since its launch, it has been used widely for the treatment of intractable epilepsy, but there are scant data on the toxic or lethal blood concentrations. Here, we report a case of drug poisoning following simultaneous high-dose self-administration of lacosamide and mirtazapine. We developed and validated an approach that uses liquid chromatography coupled with electrospray ionization–tandem mass spectrometry to determine the concentrations of lacosamide and mirtazapine in cadaveric blood, urine and liver. Calibration curves showed good linearity (r² > 0.995), and our method enabled repeatable and accurate quantification, with intra- and inter-assay coefficients of variation not exceeding 10.9 % and 12.8 %, respectively, for each target drug. We used the method to measure the drug concentrations in the blood of a dead victim and found a lacosamide concentration of 91.9 μg/mL and a mirtazapine concentration of 12.0 μg/mL. The blood mirtazapine concentration was in the lethal range, and that of lacosamide was about 10 times the therapeutic range. The synergistically central nervous system depressive and cardiotoxic effects of these drugs may have contributed to the cause of death. We concluded that the cause of death in this case was lacosamide and mirtazapine poisoning.

Background

Medical interventions are procedures that are conducive to creating danger on people’s life and body immunity due to their characteristics. We aimed to raise awareness and make contributions by revealing the fact that serious bodily and mental harms occur due to medical interventions by the ones who do not have the authority to perform.

Methods

We evaluated 210 cases appealled to our institution between the years of 2017 and 2022 who suffered damage after medical interventions by people who do not have any authorization or license. The damages that occurred in the cases were evaluated in terms of medical and legal aspects. Analysis of the data were done with SPSS 25.0 for Windows and the statistical alpha significance level were accepted as p < 0.05.

Results

76.7% of the cases were women, 87.1% were young individuals under the age of 40 Of the medical interventions, 91.9% were for aesthetic/cosmetic purposes (laser epilation, tattoo removal, botox, dermapen, cold lipolysis), 8.1% were for therapeutic purposes (bone setter intervention, tooth extraction/prosthesis, intramuscular injection, cupping pull) was found. It was found that 87.1% of the medical interventions were performed in beauty salons, 12.9% in hairdressers, home, medical markets, pharmacies and dental clinics.

Conclusions

All over the world and in our country, serious bodily and mental injuries occur in people after medical interventions by unauthorized persons. Therefore, it is necessary to see this situation as an important problem, and raise awareness in the society to make legal arrangements.

Age estimation is important in forensic investigations of unidentified human remains. This study assessed the correlation between age and Hounsfield unit (HU) values of the palate and mandibular condyle based on postmortem computed tomography (CT) and analyzed the influence of occlusal support in developing an age estimation method for Japanese individuals, including older adults.

The sample consisted of a training dataset (357 cadavers) and a validation dataset (300 cadavers) that underwent postmortem CT.

Three measurements were selected: the respective HU values of the palate and mandibular condyle and the Eichner classification. The correlation coefficients between age and HU values were also evaluated. Multiple stepwise regression analysis was performed to evaluate the significance of four parameters (sex, respective HU values of the palate and mandibular condyle, and the Eichner classification) for age estimation and to determine the best age estimation formula. In the validation tests, inaccuracy and bias were calculated for the groups aged ≥65 or <65 years.

Significant correlations between age and HU values of the palate and mandibular condyle were observed, regardless of sex. In multiple stepwise regression analysis, all variables except sex were significantly correlated with age. The age estimation formula from the regression analysis was useful, and the validation test exhibited high accuracy, especially in older adults.

The HU values of the palate and mandibular condyle and the Eichner classification are useful for age estimation in Japanese individuals.

The aim of this study was to assess the usefulness of postmortem contrast-enhanced CT (PMeCT) performed via direct large-vessel puncture when routine postmortem CT suggests a vascular lesion as the cause of death. PMeCT was performed in 9 cases (4 male, 5 female) with a mean age of 76 years (range 52–92) at the time of death. The mean time elapsed since death was 29.1 h (12.0–72.0). The location of the target vessel for puncture was determined based on the CT table position and a grid placed on the body surface. An 18-G spinal needle was advanced to the puncture site, and the needle tip was confirmed to have reached the intended blood vessel. Using negative pressure with a 20-ml syringe, the needle tip was advanced until reverse bleeding was confirmed. Diluted contrast medium was injected slowly to ensure its dispersion within the blood vessels. Following confirmation of no extravasation, additional doses of diluted contrast agent were injected in 3–4 divided doses, with CT scans obtained at each step to track the distribution of contrast agent over time. PMeCT was successful in all cases, revealing cardiac tamponade in 7 (ascending aortic dissection, n = 6; cardiac rupture, n = 1), thoracic aortic aneurysm rupture, n = 1, and iliac artery aneurysm rupture, n = 1. There were no cases of procedure-related extravasation (pseudo-lesions). When postmortem CT reveals pericardial hematoma or bleeding in the thoracic or abdominal cavity, PMeCT can identify the source of bleeding.

This study aimed to estimate A-STR mutation rates in 2,317 Korean parent–child trios by examining 20 Combined DNA Index System (CODIS) core loci (D3S1358, D5S818, D7S820, D8S1179, D13S317, D16S539, D18S51, D21S11, CSF1PO, FGA, TH01, TPOX, vWA, D1S1656, D2S441, D2S1338, D10S1248, D12S391, D19S433, and D22S1045) and three non-CODIS loci (Penta E, Penta D, and SE33). Locus-specific mutation rate estimates varied from 0.00 to 8.63 × 10^-3 per generation, with an average mutation rate of 1.62 × 10^-3 (95 % CI, 1.39–1.88 × 10^-3). We also combined data from previous studies to obtain comprehensive genetic values for the Korean population, and the average mutation rate was 1.59 × 10^-3 (95 % CI, 1.38–1.82 × 10^-3). Single-step mutations (95.69 %) and double-step mutations (3.35 %) were observed in the mutation pattern analysis, and cases expected to have multi-step mutations (0.96 %) were also observed. Large-sized alleles exhibited more loss mutations than gain mutations, and paternal mutations (62.68 %) were more frequently observed than maternal mutations (19.62 %). The calculated values and features of the 23 A-STRs explored in this study are expected to play a crucial role in establishing criteria for forensic genetic interpretation.

A smoothbore musket firing a round ball was the primary weapon of the infantry from the 16th to mid 19th century. Musket ball injuries are thus relatively common when archaeological remains of battlefield victims from that period are studied.

Several experimental studies have focused on terminal ballistics of a musket ball. In addition, there is a good supply of historical records directly from the battlefield and military hospitals. Studies and historical records have both concluded that head injuries are among the most lethal types of musket ball damage.

In this study we utilized modern day research methods, including Synbone ballistic skull phantoms and computed tomography (CT) imaging, to examine more closely the head injuries and tissue damage caused by a musket ball. We were especially interested to observe how different musket ball velocities and shooting distances would influence bone and soft tissue defects.

Our experiments clearly demonstrated that musket ball was a lethal projectile even from a longer distance. Already at low velocities, the musket ball perforated through the skull. Velocity also influenced the appearance of entrance and exit wounds. CT imaging provided us with a three-dimensional view of the wound channel, skull fragments and lead remnants inside the skull phantom.

According to our findings, musket ball velocity influenced defect size and cavitation. In addition, velocity influenced the size and distribution of skull fragments and lead remnants in the wound channel. Combining all these aspects could aid us in studies of archaeological musket ball victims. In particular, they could help us to estimate the shooting distance and shed light on the potential course of events in the battlefield.

Age estimation is an essential step in identifying human corpses. Several mandibular landmarks have been highlighted as skeletal sites for age estimation since aging causes morphological changes. Reports suggest that mandibular torus size may be associated with aging; however, thorough investigation has not been performed owing to the difficulty in measuring it. Therefore, this study aimed to determine the association between age and mandibular torus thickness using postmortem computed tomography data from Japanese corpses. This study included 2,792 corpses with mean (standard deviation) age of 58.0 (22.4) years (range, 0–101 years) and 67.6 % males. Further, 2,662 (95.3 %), 14 (0.5 %), 59 (2.1 %), and 57 (2.0 %) corpses were in the permanent, mixed, primary, and predental dentition periods, respectively. Multivariable analysis was performed to quantify the impact of age on mandibular torus thickness, adjusting for sex, height, weight, and occlusal contact status. The model also included an interaction term between age and occlusal status because of the potential effect modification by occlusion. Results of the multivariable regression analysis showed that mandibular torus thickness increased with age (the regression coefficients (95 % confidence interval) were 0.6 (0.2–1.0), 0.7 (0.3–1.0), 1.0 (0.6–1.4), 1.3 (0.9–1.7), 1.3 (0.8–1.8), and 1.1 (0.4–1.7) for age groups 30–39, 40–49, 50–59, 60–69, 70–79, and 80–89 years, respectively), especially in males with occlusal contact. A significant association between mandibular torus thickness and age, modified by occlusal status and sex, was identified. Therefore, data regarding the thickness of the mandibular torus and occlusal status may be useful for age estimation in human corpses.

Purpose

The accurate age estimation of cadavers is essential for their identification. However, conventional methods fail to yield adequate age estimation especially in elderly cadavers. We developed a deep learning algorithm for age estimation on CT images of the vertebral column and checked its accuracy.

Method

For the development of our deep learning algorithm, we included 1,120 CT data of the vertebral column of 140 patients for each of 8 age decades. The deep learning model of regression analysis based on Visual Geometry Group-16 (VGG16) was improved in its estimation accuracy by bagging. To verify its accuracy, we applied our deep learning algorithm to estimate the age of 219 cadavers who had undergone postmortem CT (PMCT). The mean difference and the mean absolute error (MAE), the standard error of the estimate (SEE) between the known- and the estimated age, were calculated. Correlation analysis using the intraclass correlation coefficient (ICC) and Bland-Altman analysis were performed to assess differences between the known- and the estimated age.

Results

For the 219 cadavers, the mean difference between the known- and the estimated age was 0.30 years; it was 4.36 years for the MAE, and 5.48 years for the SEE. The ICC (2,1) was 0.96 (95 % confidence interval: 0.95–0.97, p < 0.001). Bland-Altman analysis showed that there were no proportional or fixed errors (p = 0.08 and 0.41).

Conclusions

Our deep learning algorithm for estimating the age of 219 cadavers on CT images of the vertebral column was more accurate than conventional methods and highly useful.

The pedigree likelihood ratio (LR) can be used for determining kinship in the forensic kinship testing. LR can be obtained by analyzing the DNA data of Short tandem repeat (STR) and single nucleotide polymorphism (SNP) loci. With the advancement of biotechnology, increasing number of genetic markers have been identified, thereby expanding the pedigree range of kinship testing. Moreover, some of the loci are physically closer to each other and genetic linkage between loci is inevitable. LRs can be calculated by accounting for linkage or ignoring linkage (LR_linkage and LR_ignore, respectively). GeneVisa is a software for kinship testing (www.genevisa.net) and adopts the Lander–Green algorithm to deal with genetic linkage. Herein, we used the simulation program of the software GeneVisa to investigate the effects of genetic linkage on 1st-degree, 2nd-degree, and 3rd-degree kinship testing. We used this software to simulate LR_linkage and LR_ignore values based on 43 STRs and 134 SNPs in commercial kits by using the allele frequency rate and genetic distance data of the European population. The effects of linkage on LR distribution and LRs of routine cases were investigated by comparing the LR_linkage values with the LR_ignore values. Our results revealed that the linkage effect on LR distributions is small, but the effect on LRs of routine cases may be large. Moreover, the results indicated that the discriminatory power of genetic markers for kinship testing can be improved by accounting for linkage.