Forensic Considerations in Postmortem Cases of Sudden Death during or after Percutaneous Coronary Intervention: Data from The National Forensic Service in Korea, 2015 to 2021 / 대한법의학회지

Sudden death during or after percutaneous coronary intervention (PCI) could be led to potential medicolegal disputes. This study aimed to investigate the clinical and postmortem findings in PCI-related deaths-focusing on the current statusto inform preventive strategies against these fatalities. Forty-three cases were retrieved from the National Forensic Service's postmortem records between 2015 and 2021, and the corresponding postmortem findings and clinical information were analyzed. The analyses revealed a relatively consistent annual incidence of PCI-related deaths. Immediate deaths during or shortly after PCI occurred in 17 cases (39.5%), and delayed PCI-related deaths after discharge from the hospital occurred in 26 cases (60.5%). The causes of PCI-related deaths in the postmortem cases were categorized into four groups: PCI complications (11 cases, 26%), acute myocardial infarction (23 cases, 53%), ischemic heart disease (8 cases, 19%), and others (1 case, 2%). Postmortem examinations played a critical role in determining the cause of death and obtaining medical evidence, including pathological findings of the heart as well as those of coronary artery and stent insertion. Our findings suggest that a detailed examination of the heart, coronary arteries, stent status, and atherosclerosis in PCI-related deaths could help provide more accurate information as medical evidence and prevent/resolve potential medicolegal issues. Further, this could advance our understanding of PCI-related deaths and inform future preventive strategies.

Dental Age Estimation Using the Demirjian Method: Statistical Analysis Using Neural Networks / 대한법의학회지

In children and adolescents, dental age estimation is performed with the development of the teeth. Various statistical analysis methods have been used to determine the relationship between age and dental maturity and develop an accurate method of age calculation. This study attempted to apply a neural network model for the statistical analysis of dental age estimation in children and evaluated its applicability. This study used 1196 panoramic radiographs of patients aged 3–16 years, and 996 and 200 were randomly classified into training and test sets, respectively. The dental maturity of the mandibular left teeth was evaluated using Demirjian's method, the neural network model using the backpropagation algorithm was derived using training sets, and the errors were evaluated using 100 radiographs of each male and female as test sets. In addition, multiple linear regression analysis was conducted on the same training set, and the error was calculated by applying it to the test set and comparing it with the error of the neural network model. In the neural network model, the mean absolute error (MAE) and root mean squared error (RMSE) were 0.589 and 0.783 in male subjects and 0.529 and 0.760 in female subjects, respectively. In the multiple linear regression model, the MAE and RMSE were 0.600 and 0.748 in male subjects and 0.566 and 0.789 in female subjects, respectively. When applying the neural network model to the statistical analysis of the dental developmental stage, the results were as accurate as those of conventional statistical analysis methods. This study’s approach is expected to be useful for estimating the ages of children.

Evaluation of Antiemetic Therapy for Breakthrough Nausea and Vomiting in Patients with Hematopoietic Stem Cell Transplantation

BACKGROUND: The patients receiving hematopoietic stem cell transplantation (HSCT) are known to have a high incidence of breakthrough nausea and vomiting due to the conditioning regimen. The purpose of this study was to evaluate the adequacy of antiemetic therapy for breakthrough nausea and vomiting in patients receiving HSCT and to propose an effective treatment regimen. METHODS: We retrospectively reviewed the electronic medical records of 109 adult patients. The collected data were used to identify (1) antiemetic and dosing regimens prescribed for controlling breakthrough nausea and vomiting, (2) the rate of patients who developed breakthrough nausea and vomiting, and (3) the percent of antiemetics prescribed on the day of symptom onset. Based on the National Comprehensive Cancer Network guideline, we assessed the suitability of antiemetics for breakthrough nausea and vomiting, and prescription timing. RESULTS: All patients were prescribed pro re nata antiemetics. About 40.0%, 41.4%, and 18.6% of patients were using one, two, and three or more additional drugs for breakthrough nausea and vomiting, respectively. The most frequently administered drugs were intravenous metoclopramide (43.8%) and granisetron patch (36.2%). Breakthrough nausea and vomiting occurred in 87 patients (79.1%) and they developed symptoms 320 cases. About 220 cases (68.8%) were treated with additional antiemetics on the day of symptom onset and the rate of symptom resolution was only 10.3% (9 patients). CONCLUSION: The breakthrough nausea and vomiting in patients receiving HSCT occurred very frequently and was hard to control, thus requiring more rapid and aggressive treatments.