Anti-N-methyl-D-aspartate receptor (anti-NMDAR) encephalitis is a common cause of autoimmune encephalitis. The condition is difficult to diagnose or suspect in the emergency department because it usually presents with nonspecific neurological or psychiatric symptoms. It is often mistaken for viral encephalitis or psychiatric illness. This paper reports a case of anti-NMDAR encephalitis in which the patient experienced mood changes, including suicidal ideation, which led to a delayed diagnosis after three visits to the emergency department. This paper aims to raise awareness among emergency physicians about the possibility of anti-NMDAR encephalitis and to encourage them to consider it in their differential diagnosis in the emergency department.

Objective: Many studies have examined the July effect. However, little is known about the July effect in sepsis. We hypothesized that the July effect would result in worse outcomes for patients with sepsis. Methods: Data from patients with sepsis, collected prospectively between January 2018 and December 2021, were analyzed. In Korea, the new academic year starts on March 1, so the “July effect” appears in March. The primary outcome was 30-day mortality. Secondary outcomes included adherence to the Surviving Sepsis Campaign bundle. Outcomes in March were compared to other months. A multivariate Cox proportional hazard regression was performed to adjust for confounders. Results: We included 843 patients. There were no significant differences in sepsis severity. The 30-day mortality in March was higher (49.0% vs. 28.5%, P<0.001). However, there was no difference in bundle adherence in March (42.2% vs. 48.0%, P=0.264). The multivariate Cox proportional hazard regression showed that the July effect was associated with 30-day mortality in patients with sepsis (adjusted hazard ratio, 1.925; 95% confidence interval, 1.405–2.638; P<0.001). Conclusion The July effect was associated with 30-day mortality in patients with sepsis. However, bundle adherence did not differ. These results suggest that the increase in mortality during the turnover period might be related to unmeasured in-hospital management. Intensive supervision and education of residents caring for patients with sepsis is needed in the beginning of training.

Objective: Many studies have examined the July effect. However, little is known about the July effect in sepsis. We hypothesized that the July effect would result in worse outcomes for patients with sepsis. Methods: Data from patients with sepsis, collected prospectively between January 2018 and December 2021, were analyzed. In Korea, the new academic year starts on March 1, so the “July effect” appears in March. The primary outcome was 30-day mortality. Secondary outcomes included adherence to the Surviving Sepsis Campaign bundle. Outcomes in March were compared to other months. A multivariate Cox proportional hazard regression was performed to adjust for confounders. Results: We included 843 patients. There were no significant differences in sepsis severity. The 30-day mortality in March was higher (49.0% vs. 28.5%, P<0.001). However, there was no difference in bundle adherence in March (42.2% vs. 48.0%, P=0.264). The multivariate Cox proportional hazard regression showed that the July effect was associated with 30-day mortality in patients with sepsis (adjusted hazard ratio, 1.925; 95% confidence interval, 1.405–2.638; P<0.001). Conclusion The July effect was associated with 30-day mortality in patients with sepsis. However, bundle adherence did not differ. These results suggest that the increase in mortality during the turnover period might be related to unmeasured in-hospital management. Intensive supervision and education of residents caring for patients with sepsis is needed in the beginning of training.

Objective: Many studies have examined the July effect. However, little is known about the July effect in sepsis. We hypothesized that the July effect would result in worse outcomes for patients with sepsis. Methods: Data from patients with sepsis, collected prospectively between January 2018 and December 2021, were analyzed. In Korea, the new academic year starts on March 1, so the “July effect” appears in March. The primary outcome was 30-day mortality. Secondary outcomes included adherence to the Surviving Sepsis Campaign bundle. Outcomes in March were compared to other months. A multivariate Cox proportional hazard regression was performed to adjust for confounders. Results: We included 843 patients. There were no significant differences in sepsis severity. The 30-day mortality in March was higher (49.0% vs. 28.5%, P<0.001). However, there was no difference in bundle adherence in March (42.2% vs. 48.0%, P=0.264). The multivariate Cox proportional hazard regression showed that the July effect was associated with 30-day mortality in patients with sepsis (adjusted hazard ratio, 1.925; 95% confidence interval, 1.405–2.638; P<0.001). Conclusion The July effect was associated with 30-day mortality in patients with sepsis. However, bundle adherence did not differ. These results suggest that the increase in mortality during the turnover period might be related to unmeasured in-hospital management. Intensive supervision and education of residents caring for patients with sepsis is needed in the beginning of training.

Objective: Many studies have examined the July effect. However, little is known about the July effect in sepsis. We hypothesized that the July effect would result in worse outcomes for patients with sepsis. Methods: Data from patients with sepsis, collected prospectively between January 2018 and December 2021, were analyzed. In Korea, the new academic year starts on March 1, so the “July effect” appears in March. The primary outcome was 30-day mortality. Secondary outcomes included adherence to the Surviving Sepsis Campaign bundle. Outcomes in March were compared to other months. A multivariate Cox proportional hazard regression was performed to adjust for confounders. Results: We included 843 patients. There were no significant differences in sepsis severity. The 30-day mortality in March was higher (49.0% vs. 28.5%, P<0.001). However, there was no difference in bundle adherence in March (42.2% vs. 48.0%, P=0.264). The multivariate Cox proportional hazard regression showed that the July effect was associated with 30-day mortality in patients with sepsis (adjusted hazard ratio, 1.925; 95% confidence interval, 1.405–2.638; P<0.001). Conclusion The July effect was associated with 30-day mortality in patients with sepsis. However, bundle adherence did not differ. These results suggest that the increase in mortality during the turnover period might be related to unmeasured in-hospital management. Intensive supervision and education of residents caring for patients with sepsis is needed in the beginning of training.

PURPOSE: This study aims to review the appropriateness of the issued death certificates and autopsy reports and to evaluate the improvement points of these documents in accordance with the guidelines of the Korean Medical Association and the National Statistical Office. Moreover, this study also examines why the guideline is necessary for the credibility of these documents. METHODS: The death certificates and autopsy reports written by a training hospital were analyzed for a 12-month period, between December 2014 and November 2015. The reference to analysis was the “guidelines to medical certificate 2015” written by the Korean Medical Association, “World Health Organization (WHO) death certificate principle”, and “guideline leaflet,” as provided by the National Statistical Office. Two researchers analyzed the documents that were against the guidelines, and suggested improvement points. The analyzed variables were age, sex, issued date, direct cause of death, manner of death, location of death, and types of accident. The primary goal was to see the rate of issued documents written correctly according to the guidelines and to suggest possible improvement points. The secondary goal was to analyze the reason for accordance and discordance between researchers. RESULTS: There were a total of 603 death certificates and autopsy reports issued during the research period; 562 (93.2%) and 41 (6.8%) cases, respectively. As for the manner of death, 521 cases were “death from disease,” 64 were “external causes,” and 18 were “others or unknown” (86.4%, 10.6%, and 3.0%, respectively). As for the issued department, internal medicine and emergency medicine issued 301 (49.9%) and 126 (20.9%) documents, respectively. Of these, 139 (23.1%) cases were regarded to be in accordance with the guidelines, while 304 (50.4%) were considered to be discordant cases. Among the discordant cases, there were 177 (29.4%) cases that were the mode of death directly written to cause of death. As for the records of “period of occurrence to death” were recorded only 70 (11.7%) cases (including “unknown” 65 cases) and the others were blank. The Kappa number of analysis regarding the evaluation correspondence of the two researchers was 0.44 (95% confidence interval, 0.38 to 0.51). CONCLUSION: The most frequent error was ‘the condition of death to direct cause of death’ with the ratio of 29.4%. This may have been because the rate of concordance between the researchers based on the guidelines was not high enough. There is a need to provide specific guidelines for each case, and also promote and educate regarding significant errors.
Autopsy ; Cause of Death ; Death Certificates* ; Emergency Medicine ; Internal Medicine ; Medical Errors ; Observational Study*

PURPOSE: We conducted a pilot study to investigate the effects of sleep patterns on wellness in interns working in the emergency department (ED). We also looked at various factors interns considered in deciding specialties and aspects of the ED they dislike, to collect the basic data necessary for quality improvement. METHODS: We conducted a prospective observational study of interns who worked a 25 h shifts every other day by evaluating various aspects of their ellness (stress, fatigue, burnout), using questionnaires and vital signs. The questionnaires were completed four times by each subject at each shift. In total, 62 interns were assigned to teams comprised of three interns each. Each team participated in the study four times each day, once every week for 4 weeks, yielding a total of 992 questionnaires to be analyzed. RESULTS: The participating interns were 26 years of age on average. Thirty-six (58%) were male, and twenty-six (41%) were female. Systolic and diastolic blood pressure (BP) both tended to fall as time passed, as demonstrated by relatively higher BP at 8 a.m. and 4 p.m., as compared to BP measured at 3 a.m. and 9 a.m. (systolic BP p=0.003, diastolic BP p<0.0001). Similarly, pulse rate was in the normal range at 8 a.m. and 4 p.m. but tended to fall from 3 a.m. to 9 a.m. (p<0.0001). Sleep at night-time after duty was positively correlated to the degree of stress, fatigue, and burnout, with longer night-time sleep resulting in higher scores for each. Four hours or more of daytime sleep also resulted in a statistically significant increase in stress and fatigue scores. CONCLUSION: More than 4 hours daytime sleep after duty resulted in more stress and fatigue the next day. An increase in night-time sleep as well as total sleeping hours positively correlated with and resulted in increased stress, fatigue, and burnout scores.
Blood Pressure ; Emergencies ; Emergency Medicine ; Fatigue ; Female ; Heart Rate ; Humans ; Male ; Pilot Projects ; Prospective Studies ; Surveys and Questionnaires ; Reference Values ; Sleep Deprivation ; Vital Signs

PURPOSE: Abdominal computed tomography (CT) is a widely recognized method to diagnose patients with acute abdominal pain in the emergency departments (EDs). We aimed to investigate the current state and interpretations of abdominal CT performed in the ED of a tertiary university hospital. METHODS: This was a retrospective study based on an abdominal CT database and medical records of patients over 15 years of age, who had visited our ED between January 1 and December 31, 2013. The data collected included CT types, final interpretations, characteristics of the patients, and location of pain at the time of CT. RESULTS: A total of 1,978 abdominal CTs were performed among 1,923 patients during the research period. The most frequent organs involved in the major diagnosis were those in the urinary system, followed by the appendix, liver, large intestine, and gallbladder. The most frequently interpreted diagnoses in these organs were in the order of urinary stone, appendicitis, liver cirrhosis, infectious colitis, and acute cholecystitis. The most frequent location of pain was the right lower quadrant (429 cases, 21.7%), and the most frequently performed CT types were contrast-enhanced abdominal and pelvic CT (1,260 cases, 63.7%). CONCLUSION: Various interpretations were derived based on the abdominal CTs, ranging from critical to mild diseases and from common to rare diseases. Based on this study, we have developed a preliminary interpretation checklist for abdominal CTs.
Abdominal Pain ; Appendicitis ; Appendix ; Checklist* ; Cholecystitis, Acute ; Colitis ; Diagnosis ; Emergencies* ; Emergency Service, Hospital* ; Gallbladder ; Humans ; Intestine, Large ; Liver ; Liver Cirrhosis ; Medical Records ; Methods ; Rare Diseases ; Retrospective Studies ; Tomography, X-Ray Computed ; Urinary Calculi

PURPOSE: Sleep deprivation may exert many negative effects on hippocampus-dependent cognitive function, such as learning and memory. The present study was conducted in order to investigate the effects of repetitive sleep deprivation on cognition, apoptotic neuronal cell death, and cell proliferation in the hippocampus, using mice. METHODS: To induce sleep deprivation, mice were placed in a water cage containing six platforms (3 cm in diameter), surrounded by water up to 1 cm beneath the surface of the platform for 24 h. Mice were randomly divided into four groups (n=20 in each group): control group, 24 h rest after 24 h sleep deprivation group, 48 h rest after 24 h sleep deprivation group, and 72 h rest after 24 h sleep deprivation group. This cycle was continued for 36 days. Novel objective recognition test and immunohistochemistry for 5-bromo-2'-deoxyuridine (BrdU), western blot for expression of Bax, Bcl-2, brain-derived neurotrophic factor (BDNF), and caspase-3 were performed. RESULTS: Results of the novel objective recognition test showed decreased cognition in the 24 h rest after 24 h sleep deprivation group, while a similar effect was observed in other groups, compared to the control group. Increased cell proliferation and enhanced expression of BDNF and Bax protein were observed in the 24 h rest after 24 h sleep deprivation group and the 48 h rest after 24 h sleep deprivation group, compared to the control group. Expression of Bcl-2 showed a decrease in the 24 h and 48 h rest groups, compared to the control group. Expression of caspase-3 in the dentate gyrus of the hippocampus showed a significant increase in the 24 h rest after 24 h sleep deprivation group and in the 48 h rest after 24 h sleep deprivation group, compared to the control group. CONCLUSION: Results of the present study indicate that insufficient rest after sleep deprivation may induce impairment of cognitive function. After sleep deprivation, at least 72 hr of rest time is needed for recovery.
Animals ; Apoptosis ; bcl-2-Associated X Protein ; Blotting, Western ; Brain-Derived Neurotrophic Factor ; Bromodeoxyuridine ; Caspase 3 ; Cell Death ; Cell Proliferation ; Cognition ; Dentate Gyrus ; Hippocampus ; Immunohistochemistry ; Learning ; Memory ; Memory, Short-Term ; Mice ; Neurons ; Sleep Deprivation ; Water

Objective: Accurate interpretation of computed tomography (CT) scans is critical for patient care in the emergency department. We aimed to identify factors associated with an incorrect interpretation of abdominal CT by novice emergency residents and to analyze the characteristics of incorrectly interpreted scans. Methods: This retrospective analysis of a prospective observational cohort was conducted at three urban emergency departments. Discrepancies between the interpretations by postgraduate year-1 (PGY-1) emergency residents and the final radiologists’ reports were assessed by independent adjudicators. Potential factors associated with incorrect interpretation included patient age, sex, time of interpretation, and organ category. Adjusted odds ratios (aORs) for incorrect interpretation were calculated using multivariable logistic regression analysis. Results: Among 1,628 eligible cases, 270 (16.6%) were incorrect. The urinary system was the most correctly interpreted organ system (95.8%, 365/381), while the biliary tract was the most incorrectly interpreted (28.4%, 48/169). Normal CT images showed high false-positive rates of incorrect interpretation (28.2%, 96/340). Organ category was found to be a major determinant of incorrect interpretation. Using the urinary system as a reference, the aOR for incorrect interpretation of biliary tract disease was 9.20 (95% confidence interval, 5.0–16.90) and the aOR for incorrectly interpreting normal CT images was 8.47 (95% confidence interval, 4.85–14.78). Conclusion Biliary tract disease is a major factor associated with incorrect preliminary interpretations of abdominal CT scans by PGY-1 emergency residents. PGY-1 residents also showed high false-positive interpretation rates for normal CT images. Emergency residents’ training should focus on these two areas to improve abdominal CT interpretation accuracy.