Background: Limited data are available on the mortality rates of patients receiving extracorporeal membrane oxygenation (ECMO) support for coronavirus disease 2019 (COVID-19). We aimed to analyze the relationship between COVID-19 and clinical outcomes for patients receiving ECMO. Methods: We retrospectively investigated patients with COVID-19 pneumonia requiring ECMO in 19 hospitals across Korea from January 1, 2020 to August 31, 2021. The primary outcome was the 90-day mortality after ECMO initiation. We performed multivariate analysis using a logistic regression model to estimate the odds ratio (OR) of 90-day mortality. Survival differences were analyzed using the Kaplan–Meier (KM) method. Results: Of 127 patients with COVID-19 pneumonia who received ECMO, 70 patients (55.1%) died within 90 days of ECMO initiation. The median age was 64 years, and 63% of patients were male. The incidence of ECMO was increased with age but was decreased after 70 years of age. However, the survival rate was decreased linearly with age. In multivariate analysis, age (OR, 1.048; 95% confidence interval [CI], 1.010–1.089; P = 0.014) and receipt of continuous renal replacement therapy (CRRT) (OR, 3.069; 95% CI, 1.312–7.180; P = 0.010) were significantly associated with an increased risk of 90-day mortality. KM curves showed significant differences in survival between groups according to age (65 years) (log-rank P = 0.021) and receipt of CRRT (log-rank P = 0.004). Conclusion Older age and receipt of CRRT were associated with higher mortality rates among patients with COVID-19 who received ECMO.

Background and Objectives: The purpose of this study is to evaluate value of diagnostic tool for vocal cord palsy utilizing artificial intelligence without laryngoscopeMaterials and Method A dataset consisting of recordings from patients with unilateral vocal cord paralysis (n=54) as well as normal individuals (n=163). The dataset included prolonged pronunciations of the vowels /ah/, /u/, /i/, and vocal cord data from paralyzed patients. Various acoustic parameters such as Mel-frequency cepstral coefficients, jitter, shimmer, harmonics-to-noise ratio, and fundamental frequency statistics were analyzed. The classification of vocal cord paralysis encompassed paralysis status, paralysis degree, and paralysis location. The deep learning model employed the leave-one-out method, and the feature set with the highest performance was selected using the following methods. Results: Vocal Cord Paralysis Classifier: The classifier accurately distinguished normal voice from vocal cord paralysis, achieving an accuracy and F1 score of 1.0. Paralysis Location Classifier: The classifier accurately differentiated between median and paramedian vocal cord paralysis, achieving an accuracy and micro F1 score of 1.0. Breathiness Degree Classifier: The classifier achieved an accuracy of 0.795 and a mean absolute error of 0.2857 in distinguishing different degrees of breathiness. Conclusion Although the small sample size raises concerns of potential overfitting, this preliminary study highlights distinctive acoustic features in cases of unilateral vocal fold paralysis compared to those of normal individuals. These findings suggest the feasibility of determining the presence, degree, and location of paralysis through the utilization of acoustic parameters. Further research is warranted to validate and expand upon these results.

Background: Current international guidelines recommend against deep sedation as it is associated with worse outcomes in the intensive care unit (ICU). However, in Korea the prevalence of deep sedation and its impact on patients in the ICU are not well known. Methods: From April 2020 to July 2021, a multicenter, prospective, longitudinal, noninterventional cohort study was performed in 20 Korean ICUs. Sedation depth extent was divided into light and deep using a mean Richmond Agitation–Sedation Scale value within the first 48 hours. Propensity score matching was used to balance covariables; the outcomes were compared between the two groups. Results: Overall, 631 patients (418 [66.2%] and 213 [33.8%] in the deep and light sedation groups, respectively) were included. Mortality rates were 14.1% and 8.4% in the deep and light sedation groups (P = 0.039), respectively. Kaplan-Meier estimates showed that time to extubation (P < 0.001), ICU length of stay (P = 0.005), and death P = 0.041) differed between the groups. After adjusting for confounders, early deep sedation was only associated with delayed time to extubation (hazard ratio [HR], 0.66; 95% confidence inter val [CI], 0.55– 0.80; P < 0.001). In the matched cohort, deep sedation remained significantly associated with delayed time to extubation (HR, 0.68; 95% 0.56–0.83; P < 0.001) but was not associated with ICU length of stay (HR, 0.94; 95% CI, 0.79–1.13; P = 0.500) and in-hospital mortality (HR, 1.19; 95% CI, 0.65–2.17; P = 0.582). Conclusion In many Korean ICUs, early deep sedation was highly prevalent in mechanically ventilated patients and was associated with delayed extubation, but not prolonged ICU stay or in-hospital death.

Objective: Coronavirus disease 2019 (COVID-19) pandemic has been affecting the safety of hospital healthcare workers and the outcome of out-of-hospital cardiac arrest patients. This study aimed to analyze the influence of the changes inhospital infection control protocols (ICP) and cardiopulmonary resuscitation (CPR) environment on the treatment outcomes of out-of-hospital cardiac arrest patients. Methods: The medical records of patients who visited the emergency room were retrospectively reviewed for the period from March 13, 2019 to March 13, 2021. Patient data were analyzed before and after March 13, 2020, when the “in-hospital CPR guidelines related to COVID-19 infection” was recommended by the Korean Society of Emergency Medicine. We performed a comparison and analysis of the first epinephrine administration time and the intubation time with other CPR-related factors in both groups. The in-hospital return of spontaneous circulation (ROSC) and the over 24-hour survival rate were defined as treatment outcomes. Results: A total number of 453 patients were included in the study. After ICP, the in-hospital ROSC was increased (29.8% vs. 42.1%, P=0.006), whereas the over 24-hour survival rate was decreased (67.2% vs. 40.6%, P=0.001). The time intervals from the hospital visit to the first epinephrine administration—1.0 (0-1.0) vs. 1.0 (0-2.0), P=0.007—and tracheal intubation—1.0 (0-1.0) vs. 1.0 (1.0-2.8), P<0.001—were statistically significantly higher than those before ICP application. In our multivariable analysis, the ICP application and pre-hospital emergency medical service (EMS) response time were factors associated with the treatment outcome. Conclusion After the application of the ICP, both the first epinephrine administration time and the tracheal intubation time from the patient’s hospital visit were prolonged. The application of ICP and the delayed EMS response time were factors associated with the treatment outcome.

Objective: To assess whether computed tomography (CT) conversion across different scan parameters and manufacturers using a routable generative adversarial network (RouteGAN) can improve the accuracy and variability in quantifying interstitial lung disease (ILD) using a deep learning-based automated software. Materials and Methods: This study included patients with ILD who underwent thin-section CT. Unmatched CT images obtained using scanners from four manufacturers (vendors A-D), standard- or low-radiation doses, and sharp or medium kernels were classified into groups 1–7 according to acquisition conditions. CT images in groups 2–7 were converted into the target CT sty le (Group 1: vendor A, standard dose, and sharp kernel) using a RouteGAN. ILD was quantified on original and converted CT images using a deep learning-based software (Aview, Coreline Soft). The accuracy of quantification was analyzed using the dice similarity coefficient (DSC) and pixel-wise overlap accuracy metrics against manual quantification by a radiologist. Five radiologists evaluated quantification accuracy using a 10-point visual scoring system. Results: Three hundred and fifty CT slices from 150 patients (mean age: 67.6 ± 10.7 years; 56 females) were included. The overlap accuracies for quantifying total abnormalities in groups 2–7 improved after CT conversion (original vs. converted: 0.63vs. 0.68 for DSC, 0.66 vs. 0.70 for pixel-wise recall, and 0.68 vs. 0.73 for pixel-wise precision; P < 0.002 for all). The DSCs of fibrosis score, honeycombing, and reticulation significantly increased after CT conversion (0.32 vs. 0.64, 0.19 vs. 0.47, and 0.23 vs. 0.54, P < 0.002 for all), whereas those of ground-glass opacity, consolidation, and emphysema did not change significantly or decreased slightly. The radiologists’ scores were significantly higher (P < 0.001) and less variable on converted CT. Conclusion CT conversion using a RouteGAN can improve the accuracy and variability of CT images obtained using different scan parameters and manufacturers in deep learning-based quantification of ILD.

Purpose: We aimed to investigate the changing trends in intentional drug poisoning among pediatric and adolescent patients over the past 10 years. Methods: A retrospective study was conducted on patients younger than 20 years who visited an academic hospital emergency department (ED) in Incheon, Korea, from January 2011 through December 2020. The study focused on patients who responded with “self-harm or suicide” in the ED-based Injury In-depth Surveillance, and whose injury mechanism was drug poisoning. Exclusion criteria were unintentional injuries and the ingestion of substances other than drugs. To describe the trend over the decade, we used the number of events/100,000 ED annual visits of the database. Results: A total of 3,388 cases with a median age of 17 years (interquartile range, 15-18 years) were included. The most frequently ingested drugs were acetaminophen (27.8%), followed by benzodiazepines (15.2%), antidepressants (14.1%), other sedatives and hypnotics (13.4%), and antipsychotics (8.3%). As for the events/100,000 ED annual visits, benzodiazepines showed the biggest increase, from 7.6 to 80.2 cases. Similarly, antidepressants increased from 10.2 to 71.1 cases, and antipsychotics from 3.6 to 53.7 cases. Conclusion Intentional drug poisoning has increased over the past 10 years, particularly in benzodiazepines, antidepressants, and antipsychotics. It is advisable to establish injury prevention strategies according to patients’ characteristics and ingested drugs.

Objective: Previous studies lacked an accurate analysis of age-specific mortality because they included either a single hospital’s data or survey-based method, rather than the patient’s information from the emergency room (ER). Therefore, this study analyzed the mortality risk by age group among patients who visited the ER with suicidal attempts using large-scale data. Methods: Data were collected from the in-depth surveillance data of injury among patients who visited the ERs of 23 hospitals from January 2011 to December 2018. Their ages were divided into 10-year ranges for patients aged 15 years or older (15-24, 25-34, 35-44, 45-54, 55-64, 65-74, and ≥75 years). The patients’ sex, alcohol consumption before the injury, time of injury, place of injury, ambulance used for transport to the ER, disposition at the ER, and total deaths were investigated. Results: The number of patients was 41,257, of which 38,229 (92.7%) survived and 3,082 (7.3%) died. The proportions of patients in each group who died from suicidal attempts in the 15-24, 25-34, 35-44, 45-54, 55-64, 65-74, and ≥75 years groups were 2.7%, 3.1%, 5.4%, 7.8%, 12.0%, 18.5%, and 21.8%, respectively (P<0.001). A statistically positive-response relationship was noted (P trend<0.001). As a result of adjusting for sex, age, place of injury, time of injury, and alcohol consumption in multivariate logistic regression analysis, and the odds ratios of deaths were 1.70, 2.37, 2.86, 5.18, 5.48, and 6.41, respectively (reference, 15-24 years). Moreover, compared to women, the men’s odds ratio of death was 1.58. Conclusion Among patients who visited the ER due to suicidal attempts, those of advanced age and males have high mortality.

Objective: Previous studies lacked an accurate analysis of age-specific mortality because they included either a single hospital’s data or survey-based method, rather than the patient’s information from the emergency room (ER). Therefore, this study analyzed the mortality risk by age group among patients who visited the ER with suicidal attempts using large-scale data. Methods: Data were collected from the in-depth surveillance data of injury among patients who visited the ERs of 23 hospitals from January 2011 to December 2018. Their ages were divided into 10-year ranges for patients aged 15 years or older (15-24, 25-34, 35-44, 45-54, 55-64, 65-74, and ≥75 years). The patients’ sex, alcohol consumption before the injury, time of injury, place of injury, ambulance used for transport to the ER, disposition at the ER, and total deaths were investigated. Results: The number of patients was 41,257, of which 38,229 (92.7%) survived and 3,082 (7.3%) died. The proportions of patients in each group who died from suicidal attempts in the 15-24, 25-34, 35-44, 45-54, 55-64, 65-74, and ≥75 years groups were 2.7%, 3.1%, 5.4%, 7.8%, 12.0%, 18.5%, and 21.8%, respectively (P<0.001). A statistically positive-response relationship was noted (P trend<0.001). As a result of adjusting for sex, age, place of injury, time of injury, and alcohol consumption in multivariate logistic regression analysis, and the odds ratios of deaths were 1.70, 2.37, 2.86, 5.18, 5.48, and 6.41, respectively (reference, 15-24 years). Moreover, compared to women, the men’s odds ratio of death was 1.58. Conclusion Among patients who visited the ER due to suicidal attempts, those of advanced age and males have high mortality.

Objective: Personal mobility vehicles (PMV) have been used widely as a means of replacing bicycles in recent yearsbecause of their convenience and high economic efficiency. On the other hand, accidents related to PMV are alsoincreasing, but there have been few studies in this area. This study examined the factors that increase the severity ofdamage and determine the characteristics of the PMV compared to the accidents on a bicycle. Methods: Retrospective observational studies were performed. The variables related to the accident were collected andanalyzed for patients who visited the emergency room due to a PMV and bicycle accident. Multivariate logistic regressionanalysis was used to determine the factors affecting the severity of the patients. The odds ratios were calculated andcompared between injuries related to PMV and bicycles. Results: A total of 1,124 patients (bicycles 1,017, PMV 107) were enrolled in this study. In multivariate regression analysis,the severity of PMV was higher (odds ratio [OR], 1.73; 95% confidence interval [CI], 1.06-2.83) than that of a bicycle.The factors affecting the severity of the patients were age (OR, 1.02, 95% CI, 1.01-1.03), alcohol use (OR, 1,70; 95% CI,1.04-2.70), ambulance transport (OR, 2.46; 95% CI, 1.78-3.40), and wearing a helmet (OR, 2.06; 95% CI, 1.36-3.13). Conclusion PMV showed higher severity of damage than a bicycle. The PMV, which is a new transportation means, isinsufficient for the prevention of safety compared to bicycles where driving regulations and wearing protective equipmentare common. Additional studies on the precise mechanisms of injury and damage are expected to prevent accidents andreduce their severity.

Over the last 30 years, the use of chairside computer-aided design (CAD) and computer-aided manufacturing (CAM) systems has evolved and has become increasingly popular in dentistry. Although CAD/CAM restorations have been used in the anterior dentition, satisfying the esthetic requirements of clinicians and patients, where the restorations are limited to the chairside, remains a challenge. To reproduce multi-shades of CAD/CAM restorations in the clinic, a preliminary experiment to express several shades on A2 lithium disilicate (LS2) blocks using a staining kit was performed. After measurement of the CIE L*a*b* value of specimens, it was compared with that of the commercial shade guide. This report presents two cases with individual customization of shade and surface characterization of the CAD/CAM restorations using predictable methods based on the preliminary experimental data. The anatomical shape of restoration was obtained from ‘copy and paste technique’ and ‘mirror image acquisition technique’. All treatment procedures and fabrication of restorations performed in this report were executed in the clinic itself.