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.

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: 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*

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.

OBJECTIVE: We evaluated the effect of rapid influenza diagnostic tests (RIDTs) on patient management in an emergency department for 3 years after 2009, and also identified factors associated with the choice of treatment for patients with influenza-like illnesses.METHODS: The study period consisted of three influenza epidemic seasons. Patients older than 15 years who underwent RIDTs in the emergency department and were then discharged without admission were included.RESULTS: A total of 453 patients were enrolled, 114 of whom had positive RIDT results and 339 had negative results. Antiviral medication was prescribed to 103 patients (90.4%) who had positive RIDT results, while 1 patient (0.3%) who tested negative was treated with antivirals (P<0.001). Conservative care was administered to 11 RIDT-positive patients (9.6%) and 244 RIDT-negative patients (72.0%) (P<0.001). Symptom onset in less than 48 hours, being older than 65 years, and the presence of comorbidities were not associated with the administration of antiviral therapy.CONCLUSION: RIDT results had a critical effect on physician decision-making regarding antiviral treatment for patients with influenza-like illnesses in the emergency department. However, symptom onset in less than 48 hours, old age, and comorbidities, which are all indications for antiviral therapy, were not found to influence the administration of antiviral treatment.
Antiviral Agents ; Comorbidity ; Diagnostic Tests, Routine ; Emergencies ; Emergency Service, Hospital ; Humans ; Influenza, Human ; Seasons

Objective: The Surviving Sepsis Campaign (SSC) guidelines have been associated with reduced mortality in sepsis patients. On the other hand, previous studies were performed using the Sepsis-2 definitions and past guidelines. This study assessed the association between compliance with the 2016 SSC guidelines and the outcomes of patients with sepsis and septic shock in accordance with the latest Sepsis-3 definitions. Methods: Three hundred and fifteen patients with sepsis and septic shock were enrolled in this study. The patients were stratified according to their compliance with the SSC guidelines bundle. The characteristics and outcomes of the compliance and non-compliance groups were compared. In the overall patients, the risk factors for all-cause mortality were assessed using Cox proportional hazards models. Results: Among the patients, 172 and 143 patients were in the compliance group and non-compliance group, respectively. The baseline characteristics and disease severity were similar in the two groups. The all-cause mortality rates were 27.3% and 38.5% in the compliance group and non-compliance group, respectively (P=0.035). The all-cause mortality was significantly lower in the compliance group than in the non-compliance group (log-rank test, P=0.025). The risk factors for the all-cause mortality were age (adjusted hazard ratio [aHR], 1.025; 95% confidence interval [CI], 1.008-1.042; P=0.004), septic shock (aHR, 3.14; 95% CI, 1.98-4.98; P<0.001), and lactate levels (aHR, 1.08; 95% CI, 1.03-1.14; P=0.002). The overall compliance with the guidelines protected against all-cause mortality (aHR, 0.66; 95% CI, 0.45-0.98; P=0.040). Conclusion Compliance with the SSC guidelines bundle was associated with a lower all-cause mortality among patients with sepsis and septic shock

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.

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.