Cervical pregnancy is one of most rare form of ectopic pregancy in which the blastocyst implants within the cervical canal below the internal os of uterine cervix. Most cervical pregnancy result in early spontaneous abortion, complicated by severe hemorrhage frm the eroded blood vessels within the cervix. Because of fear of rofuse hemorrhage, abdominal hysterectomy has been historically considered the standard therapy. However, a number of new therapies have been aimed at uterine preservation, conservative treatment is highly desirable for young women who want to be pregnancy in the future. Methotrexate has been utilized recently for the successful management of tubal, interstitial, and cervical ectopic gestations. We report a case of a cervical preganncy that was successfully managed with methotrexate and leucovorine.
Abortion, Spontaneous ; Blastocyst ; Blood Vessels ; Cervix Uteri ; Cytochrome P-450 CYP1A1 ; Female ; Hemorrhage ; Humans ; Hysterectomy ; Leucovorin ; Methotrexate* ; Pregnancy*

Arachnoid web is a very rare disease that occurs when the normal flow of cerebrospinal fluid is disturbed due to abnormal formation of the arachnoid membrane in the arachnoid space. Consequently, symptoms appear in the form of various myelopathies, such as loss of strength and sensation in the upper and lower extremities, or bladder control disorders. In general, surgical treatment can be considered if symptoms are exhibited. Arachnoid web requires a high consideration of appropriate diagnosis and treatment methods. However, due to its extremely rare occurrence in actual clinical practice, it is difficult to differentiate from other diseases such as herniated intervertebral disc or subdural tumor causing spinal myelopathy. This would effectively lead to a completely different direction of treatment. To date, there have been no case reports of Arachnoid web in Korea, except for collecting and reporting the focal anterior displacement of the thoracic spine, which is a similar lesion in the spinal cord. This article therefore provides information through case reports and literature review.

Objective: This study aimed to determine whether there is a difference in mortality and medical resource utilization between geriatric (aged ≥65 years) and super-geriatric patients (aged ≥80 years) with traumatic brain injury (TBI). Methods: We obtained comprehensive data (demographics, injury characteristics, injury severities, and outcomes) of geriatric and super-geriatric TBI patients from an emergency department-based injury surveillance system database from 2011 to 2016. Multivariate logistic regression analysis was performed to compare the mortality and nonroutine discharge (NRDC) status between both groups. Results: Among 442,533 TBI patients, 48,624 were older than 65 years. A total of 48,446 patients (37,140 geriatric and 11,306 super-geriatric) without exclusion criteria were included in the final analysis. Both overall in-hospital mortality (adjusted odds ratio, 1.88; 95% confidence interval [CI], 1.28 to 2.74; P=0.001) and NRDC (adjusted odds ratio, 1.35; 95% CI, 1.07 to 1.71; P=0.011) were significantly higher in the super-geriatric group. In the stratified analysis, there were no significant differences in NRDC rate for all stratifications of treatment timing (emergency department vs. ward admission), but mortality remained to be significant for all stratifications. Conclusion Super-geriatric TBI patients showed a significantly higher risk-adjusted overall mortality and more inadequate medical resource utilization than did geriatric TBI patients. However, super-geriatric patients were more likely to undergo NRDC after admission; thus, further research about age-related health inequalities is needed in the treatment of super-geriatric patients.

Objective: This study aimed to determine whether there is a difference in mortality and medical resource utilization between geriatric (aged ≥65 years) and super-geriatric patients (aged ≥80 years) with traumatic brain injury (TBI). Methods: We obtained comprehensive data (demographics, injury characteristics, injury severities, and outcomes) of geriatric and super-geriatric TBI patients from an emergency department-based injury surveillance system database from 2011 to 2016. Multivariate logistic regression analysis was performed to compare the mortality and nonroutine discharge (NRDC) status between both groups. Results: Among 442,533 TBI patients, 48,624 were older than 65 years. A total of 48,446 patients (37,140 geriatric and 11,306 super-geriatric) without exclusion criteria were included in the final analysis. Both overall in-hospital mortality (adjusted odds ratio, 1.88; 95% confidence interval [CI], 1.28 to 2.74; P=0.001) and NRDC (adjusted odds ratio, 1.35; 95% CI, 1.07 to 1.71; P=0.011) were significantly higher in the super-geriatric group. In the stratified analysis, there were no significant differences in NRDC rate for all stratifications of treatment timing (emergency department vs. ward admission), but mortality remained to be significant for all stratifications. Conclusion Super-geriatric TBI patients showed a significantly higher risk-adjusted overall mortality and more inadequate medical resource utilization than did geriatric TBI patients. However, super-geriatric patients were more likely to undergo NRDC after admission; thus, further research about age-related health inequalities is needed in the treatment of super-geriatric patients.

Arachnoid web is a very rare disease that occurs when the normal flow of cerebrospinal fluid is disturbed due to abnormal formation of the arachnoid membrane in the arachnoid space. Consequently, symptoms appear in the form of various myelopathies, such as loss of strength and sensation in the upper and lower extremities, or bladder control disorders. In general, surgical treatment can be considered if symptoms are exhibited. Arachnoid web requires a high consideration of appropriate diagnosis and treatment methods. However, due to its extremely rare occurrence in actual clinical practice, it is difficult to differentiate from other diseases such as herniated intervertebral disc or subdural tumor causing spinal myelopathy. This would effectively lead to a completely different direction of treatment. To date, there have been no case reports of Arachnoid web in Korea, except for collecting and reporting the focal anterior displacement of the thoracic spine, which is a similar lesion in the spinal cord. This article therefore provides information through case reports and literature review.

OBJECTIVE: The aim of this study was to investigate the interpersonal violence (IPV) epidemiology and mortality according to the violence victim-perpetrator relationships. METHODS: A retrospective cross-sectional study was done using the comprehensive data of the emergency department (ED)-based Jeju Injury Surveillance System from all EDs in Jeju Island. The demographic characteristics of the victims, the types of perpetrators (spouse, family members, acquaintance, and stranger), injury characteristics and clinical outcomes from the injury were collected. The IPV epidemiology was reported by descriptive statistics. Multivariate Poisson regression was used to analyze the association between the mortality and violence victim-perpetrator relationships. RESULTS: Among the 23,508 violent injury patients enrolled from January 1, 2008, and December 31 of 2016, 19,879 (84.6%) were analyzed; 16 (0.08%) died at the ED. The types of perpetrators were the spouse (10.1%), family members (3.9%), acquaintances (43.4%), and strangers (42.7%). The mortality of the violence victims was increased significantly by the spouse (incidence rate ratio [IRR], 6.336; P=0.043) or family members (IRR, 11.089; P=0.016) compared to strangers. On the other hand, there was no difference between the acquaintances and strangers. CONCLUSION: The epidemiology and mortality of IPV were associated with the violence victim-perpetrator relationships. Therefore, it is necessary to develop and apply prevention programs considering these differences, particularly for intimidate/ family violence because of its high fatality.
Cross-Sectional Studies ; Domestic Violence ; Emergency Service, Hospital ; Epidemiology ; Friends ; Hand ; Humans ; Interpersonal Relations ; Mortality ; Retrospective Studies ; Spouses ; Violence

Objective: Agriculture is a hazardous industry. However, previous studies have focused on injuries to agricultural workers without comparison with injuries to nonagricultural workers. Therefore, we compared the clinical characteristics and outcomes of injuries reported at an emergency department (ED) between agricultural workers and nonagricultural workers. Methods: We established a prospective ED-based agricultural injury surveillance system at a tertiary university hospital. Adult patients visiting the ED for an injury were divided into farmer and non-farmer groups depending on their engagement with agriculture. Using an adjusted multivariate analysis and propensity score matching (age, sex, inhabitant, and insurance type), we compared the clinical characteristics and outcomes of injuries between the farmer and non-farmer groups. Results: In total, 38,556 injured adult patients (37,746 in the non-farmer group and 810 in the farmer group) were available for the unmatched sample analysis. The 1,620 matched subjects were equally classified after one-to-one nearest-neighbor propensity score matching. A multivariate logistic regression analysis of the unmatched sample revealed higher adjusted odds ratios (ORs) for intensive care unit admission (adjusted OR, 1.752; P=0.003) and overall surgery (adjusted OR, 1.870; P<0.001) in the farmer group. In contrast, univariate logistic regression analyses of the propensity score–matched sample found a higher OR in the farmer group only for overall surgery (OR, 1.786; P<0.001). Conclusion Injuries of agricultural workers had higher odds only of requiring surgery; differences in injury-related mortality between groups were not statistically significant in either the matched or unmatched sample analyses.

Objective: Agriculture is a hazardous industry. However, previous studies have focused on injuries to agricultural workers without comparison with injuries to nonagricultural workers. Therefore, we compared the clinical characteristics and outcomes of injuries reported at an emergency department (ED) between agricultural workers and nonagricultural workers. Methods: We established a prospective ED-based agricultural injury surveillance system at a tertiary university hospital. Adult patients visiting the ED for an injury were divided into farmer and non-farmer groups depending on their engagement with agriculture. Using an adjusted multivariate analysis and propensity score matching (age, sex, inhabitant, and insurance type), we compared the clinical characteristics and outcomes of injuries between the farmer and non-farmer groups. Results: In total, 38,556 injured adult patients (37,746 in the non-farmer group and 810 in the farmer group) were available for the unmatched sample analysis. The 1,620 matched subjects were equally classified after one-to-one nearest-neighbor propensity score matching. A multivariate logistic regression analysis of the unmatched sample revealed higher adjusted odds ratios (ORs) for intensive care unit admission (adjusted OR, 1.752; P=0.003) and overall surgery (adjusted OR, 1.870; P<0.001) in the farmer group. In contrast, univariate logistic regression analyses of the propensity score–matched sample found a higher OR in the farmer group only for overall surgery (OR, 1.786; P<0.001). Conclusion Injuries of agricultural workers had higher odds only of requiring surgery; differences in injury-related mortality between groups were not statistically significant in either the matched or unmatched sample analyses.

Objective: Agriculture is a hazardous industry. However, previous studies have focused on injuries to agricultural workers without comparison with injuries to nonagricultural workers. Therefore, we compared the clinical characteristics and outcomes of injuries reported at an emergency department (ED) between agricultural workers and nonagricultural workers. Methods: We established a prospective ED-based agricultural injury surveillance system at a tertiary university hospital. Adult patients visiting the ED for an injury were divided into farmer and non-farmer groups depending on their engagement with agriculture. Using an adjusted multivariate analysis and propensity score matching (age, sex, inhabitant, and insurance type), we compared the clinical characteristics and outcomes of injuries between the farmer and non-farmer groups. Results: In total, 38,556 injured adult patients (37,746 in the non-farmer group and 810 in the farmer group) were available for the unmatched sample analysis. The 1,620 matched subjects were equally classified after one-to-one nearest-neighbor propensity score matching. A multivariate logistic regression analysis of the unmatched sample revealed higher adjusted odds ratios (ORs) for intensive care unit admission (adjusted OR, 1.752; P=0.003) and overall surgery (adjusted OR, 1.870; P<0.001) in the farmer group. In contrast, univariate logistic regression analyses of the propensity score–matched sample found a higher OR in the farmer group only for overall surgery (OR, 1.786; P<0.001). Conclusion Injuries of agricultural workers had higher odds only of requiring surgery; differences in injury-related mortality between groups were not statistically significant in either the matched or unmatched sample analyses.

Objective: Agriculture is a hazardous industry. However, previous studies have focused on injuries to agricultural workers without comparison with injuries to nonagricultural workers. Therefore, we compared the clinical characteristics and outcomes of injuries reported at an emergency department (ED) between agricultural workers and nonagricultural workers. Methods: We established a prospective ED-based agricultural injury surveillance system at a tertiary university hospital. Adult patients visiting the ED for an injury were divided into farmer and non-farmer groups depending on their engagement with agriculture. Using an adjusted multivariate analysis and propensity score matching (age, sex, inhabitant, and insurance type), we compared the clinical characteristics and outcomes of injuries between the farmer and non-farmer groups. Results: In total, 38,556 injured adult patients (37,746 in the non-farmer group and 810 in the farmer group) were available for the unmatched sample analysis. The 1,620 matched subjects were equally classified after one-to-one nearest-neighbor propensity score matching. A multivariate logistic regression analysis of the unmatched sample revealed higher adjusted odds ratios (ORs) for intensive care unit admission (adjusted OR, 1.752; P=0.003) and overall surgery (adjusted OR, 1.870; P<0.001) in the farmer group. In contrast, univariate logistic regression analyses of the propensity score–matched sample found a higher OR in the farmer group only for overall surgery (OR, 1.786; P<0.001). Conclusion Injuries of agricultural workers had higher odds only of requiring surgery; differences in injury-related mortality between groups were not statistically significant in either the matched or unmatched sample analyses.