Objective: Fall from height (FFH) is a major public health problem that can result in severe injury, disability, and death. This study investigated how the characteristics of jumpers and fallers differ. Methods: This was a retrospective study of FFH patients enrolled in an Emergency Department-based Injury In-depth Surveillance (EDIIS) registry between 2011 and 2018. Depending on whether the injury was intentional, FFH patients who had fallen from a height of at least 1 m were divided into two groups: jumpers and fallers. Patient characteristics, organ damage, and death were compared between the two groups, and factors that significantly affected death were identified using multivariable logistic analysis. Results: Among 39,419 patients, 1,982 (5.0%) were jumpers. Of the jumpers, 977 (49.3%) were male, while 30,643 (81.9%) of fallers were male. The jumper group had the highest number of individuals in their 20s, with the number decreasing as age increased. In contrast, the number of individuals in the faller group rose until reaching their 50s, after which it declined. More thoracoabdominal, spinal, and brain injuries were found in jumpers. The in-hospital mortality of jumpers and fallers was 832 (42.0%) and 1,268 (3.4%), respectively. Intentionality was a predictor of in-hospital mortality, along with sex, age, and fall height, with an odds ratio of 7.895 (95% confidence interval, 6.746–9.240). Conclusion Jumpers and fallers have different epidemiological characteristics, and jumpers experienced a higher degree of injury and mortality than fallers. Differentiated prevention and treatment strategies are needed for jumpers and fallers to reduce mortality in FFH patients.

Background: Liver transplantation (LT) patients appear to be more prone to neurological events compared to individuals undergoing other types of solid-organ transplantation.The aims of the present study were to analyze the prevalence of unruptured intracranial aneurysms (UIAs) in patients undergoing liver transplantation (LT) and to examine the perioperative occurrence of subarachnoid hemorrhage (SAH). Also, it intended to systematically identify the risk factors of SAH and hemorrhagic stroke (HS) within a year after LT and to develop a scoring system which involves distinct clinical features of LT patients. Methods: Patients who underwent LT from January 2012 to March 2022 were analyzed.All included patients underwent neurovascular imaging within 6 months before LT. We conducted an analysis of prevalence and radiological features of UIA and SAH. The clinical factors that may have an impact on HS within one year of LT were also reviewed. Results: Total of 3,487 patients were enrolled in our study after applying inclusion and exclusion criteria. The prevalence of UIA was 5.4%. The incidence of SAH and HS within one year following LT was 0.5% and 1.6%, respectively. We developed a scoring system based on multivariable analysis to predict the HS within 1-year after LT. The variables were a poor admission mental status, the diagnosis of UIA, serum ammonia levels, and Model for End-stage Liver Disease (MELD) scores. Our model showed good discrimination among the development (C index, 0.727; 95% confidence interval [CI], 0.635–0.820) and validation (C index, 0.719; 95% CI, 0.598–0.801) cohorts. Conclusion The incidence of UIA and SAH was very low in LT patients. A poor admission mental status, diagnosis of UIA, serum ammonia levels, and MELD scores were significantly associated with the risk of HS within one year after LT. Our scoring system showed a good discrimination to predict the HS in LT patients.

Objective: This study classified patients with acute pharmaceutical drug poisoning who visited the emergency department (ED) to identify clinical characteristics that could be used as the foundation for poisoning prevention programs. Methods: Adult patients aged ≥19 years who visited one of the 23 EDs in South Korea between 2011 and 2018 with pharmaceutical drug poisoning were analyzed retrospectively by sex. The data were sourced from in-depth survey data and the ED patient surveillance system managed by the Korea Disease Control and Prevention Agency. Results: A total of 21,620 cases were analyzed. The sample had more female cases, 15,057 (69.6%); the mean age was 48.3±18.7 years for men and 44.7±17.2 years for women. The onset time was mostly between 18:00 and 24:00 hours; most patients visited the ED via 119 or private vehicles; 5,498 (83.8%) men and 13,070 (86.8%) women reported intentional poisoning; the cause being an intention to commit suicide, though most patients had no history of previous suicide attempts. The frequency of intensive care unit admission and mortality were higher in males than females. When a comparison of the type of drug by sex was carried out, it was observed that analgesic and anti-inflammatory drug poisoning were more frequent in females. On the other hand, cardiovascular drug poisoning was more frequent in males. Conclusion There were more women than men among patients with pharmaceutical drug poisoning. Severity was found to be higher in men than women. In most cases, the poisoning was intentional, and the cause of poisoning was a suicide attempt. Sedatives and antipsychotic drugs were the most commonly used drugs in both groups.

Background: and Purpose We aimed to determine whether the care process and outcomes in patients with acute stroke who received recanalization therapy changed during the outbreak of coronavirus disease 2019 (COVID-19) in South Korea. Methods: We used data from a prospective multicenter reperfusion therapy registry to compare the care process including the time from symptom onset to treatment, number of treated patients, and discharge disposition and treatment outcomes between before and during the COVID-19 outbreak in South Korea. Results: Upon the COVID-19 outbreak in South Korea, the number of patients receiving endovascular treatment to decrease temporarily but considerably. The use of emergency medical services by stroke patients increased from 91.5% before to 100.0% during the COVID-19 outbreak (p=0.025), as did the median time from symptom onset to hospital visit [median (interquartile range), 91.0 minutes (39.8–277.0) vs. 176.0 minutes (56.0–391.5), p=0.029]. Furthermore, more functionally dependent patients with disabilities were discharged home (59.5% vs. 26.1%, p=0.020) rather than staying in a regional or rehabilitation hospital. In contrast, there were no COVID-19-related changes in the times from the hospital visit to brain imaging and treatment or in the functional outcome, successful recanalization rate, or rate of symptomatic intracerebral hemorrhage. Conclusions These findings suggest that a prehospital delay occurred during the COVID-19 outbreak, and that patients with acute stroke might have been reluctant to visit and stay in hospitals. Our findings indicate that attention should be paid to prehospital care and the behavior of patients with acute stroke during the COVID-19 outbreak.

Background: and Purpose We aimed to develop a model predicting early recanalization after intravenous tissue plasminogen activator (t-PA) treatment in large-vessel occlusion. Methods: Using data from two different multicenter prospective cohorts, we determined the factors associated with early recanalization immediately after t-PA in stroke patients with large-vessel occlusion, and developed and validated a prediction model for early recanalization. Clot volume was semiautomatically measured on thin-section computed tomography using software, and the degree of collaterals was determined using the Tan score. Follow-up angiographic studies were performed immediately after t-PA treatment to assess early recanalization. Results: Early recanalization, assessed 61.0±44.7 minutes after t-PA bolus, was achieved in 15.5% (15/97) in the derivation cohort and in 10.5% (8/76) in the validation cohort. Clot volume (odds ratio [OR], 0.979; 95% confidence interval [CI], 0.961 to 0.997; P=0.020) and good collaterals (OR, 6.129; 95% CI, 1.592 to 23.594; P=0.008) were significant factors associated with early recanalization. The area under the curve (AUC) of the model including clot volume was 0.819 (95% CI, 0.720 to 0.917) and 0.842 (95% CI, 0.746 to 0.938) in the derivation and validation cohorts, respectively. The AUC improved when good collaterals were added (derivation cohort: AUC, 0.876; 95% CI, 0.802 to 0.950; P=0.164; validation cohort: AUC, 0.949; 95% CI, 0.886 to 1.000; P=0.036). The integrated discrimination improvement also showed significantly improved prediction (0.097; 95% CI, 0.009 to 0.185; P=0.032). Conclusions The model using clot volume and collaterals predicted early recanalization after intravenous t-PA and had a high performance. This model may aid in determining the recanalization treatment strategy in stroke patients with large-vessel occlusion.

Background: and Purpose We aimed to develop a model predicting early recanalization after intravenous tissue plasminogen activator (t-PA) treatment in large-vessel occlusion. Methods: Using data from two different multicenter prospective cohorts, we determined the factors associated with early recanalization immediately after t-PA in stroke patients with large-vessel occlusion, and developed and validated a prediction model for early recanalization. Clot volume was semiautomatically measured on thin-section computed tomography using software, and the degree of collaterals was determined using the Tan score. Follow-up angiographic studies were performed immediately after t-PA treatment to assess early recanalization. Results: Early recanalization, assessed 61.0±44.7 minutes after t-PA bolus, was achieved in 15.5% (15/97) in the derivation cohort and in 10.5% (8/76) in the validation cohort. Clot volume (odds ratio [OR], 0.979; 95% confidence interval [CI], 0.961 to 0.997; P=0.020) and good collaterals (OR, 6.129; 95% CI, 1.592 to 23.594; P=0.008) were significant factors associated with early recanalization. The area under the curve (AUC) of the model including clot volume was 0.819 (95% CI, 0.720 to 0.917) and 0.842 (95% CI, 0.746 to 0.938) in the derivation and validation cohorts, respectively. The AUC improved when good collaterals were added (derivation cohort: AUC, 0.876; 95% CI, 0.802 to 0.950; P=0.164; validation cohort: AUC, 0.949; 95% CI, 0.886 to 1.000; P=0.036). The integrated discrimination improvement also showed significantly improved prediction (0.097; 95% CI, 0.009 to 0.185; P=0.032). Conclusions The model using clot volume and collaterals predicted early recanalization after intravenous t-PA and had a high performance. This model may aid in determining the recanalization treatment strategy in stroke patients with large-vessel occlusion.

This study provides a statistical analysis of 1,226 cases of death occurring in Area 8, Seoul Metropolitan Police Agency (Gangseo, Yangcheon, and Guro Police Stations) from January 1 to December 31, 2017. There were 427 postmortem inspection cases in Gangseo, 393 in Yangcheon, 377 in Guro, and 29 in other areas. The number of autopsy cases was 69 in Gangseo, 70 in Yangcheon, 86 in Guro, and seven in other areas. According to the postmortem inspection reports, there were 593 cases of natural death and 336 cases of unnatural death, while in 297 cases the cause of death was unknown. Of the 297 unknown cases, autopsy rates from each police station were as follows: 54 of 99 cases (54.5%) in Gangseo, 60 of 101 cases (59.4%) in Yangcheon, 67 of 93 cases (72.0%) in Guro, and in all four cases (100%) from other areas. Unnatural deaths included 215 cases of suicide, nine cases of homicide, and 64 accidental death, while 48 cases were undetermined. Among the unnatural deaths, the cause of death included 138 cases of hanging, 72 cases of falls from a height, and 32 cases of poisoning. Since this statistical study is based on actual postmortem inspection data for 1,226 cases of death in the eight areas of Seoul (excluding deaths from traffic accidents), it raises issues relating to the current postmortem inspection system, and can be used as reference material for a comprehensive overview of causes of death.
Accidental Falls ; Autopsy ; Cause of Death ; Homicide ; Humans ; Poisoning ; Police ; Seoul ; Statistics as Topic ; Suicide

Acute myocardial infarction is one of the most common causes of unexpected deaths, but there are limitations to its diagnosis in postmortem inspection. In this study, we aimed to investigate the usefulness of cardiac marker analysis for the diagnosis of acute myocardial infarction in postmortem inspection. This study was conducted on 30 postmortem inspection cases conducted by the National Forensic Service from 2016 to 2018. Tests for three myocardial enzymes (myoglobin, creatinine kinase-MB, and cardiac troponin I) were performed in each case, and the relationships between enzyme levels, cause of death, and factors affecting the postmortem tests were analyzed. Cardiac enzyme concentrations were not significantly different between the heart disease group and other disease groups, and the false-positive rate was increased due to postmortem changes. Therefore, we can conclude that it is not appropriate to use cardiac enzyme analysis for the diagnosis of acute myocardial infarction in postmortem inspection.
Cause of Death ; Creatinine ; Diagnosis ; Heart Diseases ; Myocardial Infarction ; Postmortem Changes ; Troponin ; Troponin I