Objective: Problematic internet gaming in adolescents is associated with various negative outcomes, such as low self-esteem, depression, anxiety, and attention problems. We hypothesized that game coding education, by improving adolescents’ self-esteem, would be more effective than game literacy education in mitigating problematic internet gaming. Methods: A total of 126 adolescents who voluntarily applied for the game coding education and game literacy education program of the “Visiting Game Class” project operated by the Game Cultural Foundation participated in this study. We collected data on demographics, gaming patterns, and psychological status, including positive or negative perceptions of online games, depression, and anxiety. We designated those with scores higher than 40 on Young’s Internet Addiction Scale as the “problematic internet gaming” group. Results: Only game coding education was significantly effective in decreasing internet use, lowering depressive symptoms, and improving self-esteem. In the hierarchical logistic regression analysis, more frequent education time, coding education, stronger negative perceptions of gaming, and high self-esteem predicted decreased internet gaming among participants exhibiting problematic internet gameplay. Conclusion Game coding education effectively mitigates problematic gaming by improving adolescents’ self-esteem. Thus, it may be beneficial to increase education time and devise game education programs tailored to adolescents’ psychological status.

Purpose: Mycoplasma pneumoniae pneumonia (MP) is a major cause of community-acquired pneumonia (CAP) in children and is associated with extrapulmonary manifestations (EPM). The incidence and risk factors for EPM in children are unknown. Methods: This was a retrospective study involving 65,243 pediatric patients with CAP between 2010 and 2015 at 23 nationwide hospitals in South Korea. Medical records were reviewed to collect information regarding the clinical characteristics, radiological results, and laboratory findings. Logistic regression with multivariate analysis was performed to evaluate the risk factors associated with EPM in MP. Results: The incidence of EPM was 23.9%, including elevation of liver enzymes (18.1%), mucocutaneous manifestations (4.4%), proteinuria (4.1%), cardiovascular and neurological manifestations (0.4%), hematologic manifestations (0.2%), and arthritis (0.2%). Statistical analysis showed that mucocutaneous manifestations significantly increased with elevated alanine aminotransferase (adjusted odds ratio [aOR], 3.623; 95% confidence interval [CI], 1.933-6.790) and atopic sensitization (aOR, 2.973; 95% CI, 1.615–5.475) and decreased with respiratory virus coinfection (aOR, 0.273; 95% CI, 0.084–0.887). Elevated liver enzymes were significantly associated with elevated lactate dehydrogenase (aOR, 3.055; 95% CI, 2.257–4.137), presence of pleural effusion (aOR, 2.635; 95% CI, 1.767–3.930), and proteinuria with respiratory virus coinfection (aOR, 2.245; 95% CI, 1.113–4.527). Conclusion Approximately 24% of pediatric patients with MP had various EPM. As the risk factors associated with each EPM were different, it is necessary to evaluate the various clinical aspects and findings of MP to predict and prepare for the occurrence of EPM.

Many commonly used household chemicals and medical eye drops look alike, resulting in a worldwide increase in incidences of accidents caused by confusion between similar-looking agents. In this case report, we present two patients who visited the emergency department following inadvertent instillation of tinea pedis treatment solution instead of eye drops. Both patients developed corneal chemical burns following the accidental application. Notably, the visual acuity and symptoms eventually recovered for both patients after hospitalization. However, complete recovery occurred only after several weeks. Both patients were relatively old and had been prescribed eye drops after previous ophthalmic surgery. Since the eye is a sensory organ that receives visual information, ocular injuries significantly affect the quality of life and social functioning of the patient. Incidences of accidental misidentification of eye drops are steadily increasing in South Korea; unfortunately, regulatory policies are unavailable to avoid such hazards.Therefore, physicians should be mindful of the potential risks associated with misidentification of everyday household products and must spend time educating patients when prescribing eye drops. Policy regulations are warranted for products with containers that resemble eye drop bottles. Such items need to be clearly labeled with additional warnings to prevent misidentification and accidental ocular instillation.

Objective: This study evaluated the deep learning (DL) algorithm performance to detect lesions that suggest pneumonia in chest X-rays (CXR) of suspected coronavirus disease 2019 (COVID-19) patients. Methods: This retrospective study included consecutive patients who visited a screening clinic in Daegu, and were suspected to be afflicted with the COVID-19 during the COVID-19 epidemic. CXR were analyzed using the commercial artificial intelligence product that provides free online DL algorithms to the public for COVID-19. Computerized tomography was used as the standard reference. Performance of the DL algorithm was evaluated by the sensitivity and specificity, and results were compared to the CXR records of emergency physicians (EP) in charge of the actual screening triage clinic during the COVID-19 epidemic. Results: Totally, 114 patients were evaluated, of which 38 patients were positive for COVID-19. In 85 CXRs examined (36 COVID-19 and 49 non-COVID-19) with findings of pneumonia in computerized tomography, the DL algorithm showed significantly higher sensitivity as compared to the EP (DL, 98.8% [93.6%-99.9%] vs. EP, 85.9% [76.6%-92.5%]; P<0.01). Moreover, the DL algorithm showed significantly higher sensitivity for detecting CXRs with COVID-19 pneumonia, as compared to the EP (DL, 100.0% [90.3%-100%] vs. EP, 91.7% [77.5%-98.3%]; P=0.08). Conclusion We conclude that for examining the CXR of patients with suspected COVID-19, sensitivity of the DL algorithm is superior than the EP for detecting lesions suggesting pneumonia. Thus, the application of the DL algorithm is potentially useful in screening triage clinics to detect COVID-19 pneumonia.

Objective: This study evaluated the deep learning (DL) algorithm performance to detect lesions that suggest pneumonia in chest X-rays (CXR) of suspected coronavirus disease 2019 (COVID-19) patients. Methods: This retrospective study included consecutive patients who visited a screening clinic in Daegu, and were suspected to be afflicted with the COVID-19 during the COVID-19 epidemic. CXR were analyzed using the commercial artificial intelligence product that provides free online DL algorithms to the public for COVID-19. Computerized tomography was used as the standard reference. Performance of the DL algorithm was evaluated by the sensitivity and specificity, and results were compared to the CXR records of emergency physicians (EP) in charge of the actual screening triage clinic during the COVID-19 epidemic. Results: Totally, 114 patients were evaluated, of which 38 patients were positive for COVID-19. In 85 CXRs examined (36 COVID-19 and 49 non-COVID-19) with findings of pneumonia in computerized tomography, the DL algorithm showed significantly higher sensitivity as compared to the EP (DL, 98.8% [93.6%-99.9%] vs. EP, 85.9% [76.6%-92.5%]; P<0.01). Moreover, the DL algorithm showed significantly higher sensitivity for detecting CXRs with COVID-19 pneumonia, as compared to the EP (DL, 100.0% [90.3%-100%] vs. EP, 91.7% [77.5%-98.3%]; P=0.08). Conclusion We conclude that for examining the CXR of patients with suspected COVID-19, sensitivity of the DL algorithm is superior than the EP for detecting lesions suggesting pneumonia. Thus, the application of the DL algorithm is potentially useful in screening triage clinics to detect COVID-19 pneumonia.

Background: There is currently a lack of evidence-based postresuscitation or postmortem guidelines for patients with out-of-hospital cardiac arrest (OHCA) in the setting of an emerging infectious disease. This study aimed to develop and validate a multimodal screening tool that aids in predicting the disease confirmation in emergency situations and patients with OHCA during a coronavirus disease 2019 (COVID-19) outbreak. Materials and Methods: We conducted a retrospective, multicenter observational study of adult patients with OHCA in Daegu, Korea. To identify the potential predictors that could be used in screening tools in the emergency department, we applied logistic regression to data collected from March 1 to March 14. The prediction performance of the screening variables was then assessed and validated on the data of patients with OHCA who were treated between February 19 and March 31, 2020. General patient characteristics and hematological findings of the COVID-19-negative and COVID-19-positive groups were compared. We also evaluated confirmation test criteria as predictors for COVID-19 positivity in patients with OHCA. Results: Advanced age, body temperature, and abnormal chest X-ray (CXR) revealed significant predictive ability in the derivation cohort. Of the 184 adult patients with OHCA identified in the validation cohort, 80 patients were included in the analysis. Notably, 9 patients were positive and 71 were negative on the COVID-19 reverse transcription polymerase chain reaction test. Five patients (55.6%) in the COVID-19-positive group had a fever before OHCA, and 12 (16.9%) of the COVID-19-negative group had a fever before OHCA (P = 0.018).Eight patients (88.9%) in the COVID-19-positive group had a CXR indicating pneumonic infiltration. Of the criteria for predicting COVID-19, fever or an abnormal CXR had a sensitivity of 100% (95% confidence interval [CI]: 65.4 – 100) and a specificity of 22.5% (95% CI: 13.5 – 34.0). Conclusion The screening tools that combined fever or abnormal CXR had a good discriminatory ability for COVID-19 infection in adult patients with OHCA. Therefore, during the COVID-19 outbreak period, it is recommended to suspect COVID-19 infection and perform COVID-19 test if patients present with a history of fever or show abnormal findings in postmortem CXR

Objective: This study compared the prognostic performance of the following five injury severity scores: the Geriatric Trauma Outcome Score (GTOS), the Injury Severity Score (ISS), the New Injury Severity Score (NISS), the Revised Trauma Score (RTS), and the Trauma and Injury Severity Score (TRISS) for in-hospital mortality in severe geriatric trauma patients. Methods: A retrospective, cross-sectional, observational study was conducted using a database of severe geriatric trauma patients (age ≥65 years and ISS ≥16) who presented to a single regional trauma center between November 2016 and October 2018. We compared the baseline characteristics between the survivor and mortality groups and the predictive ability of the five scoring systems. Results: A total of 402 patients were included in the analysis; the in-hospital mortality rate was 25.6% (n=103). The TRISS had the highest area under the curve of 0.953 (95% confidence interval [CI], 0.927-0.971); followed by RTS, 0.777 (95% CI, 0.733-0.817); NISS, 0.733 (95% CI, 0.687-0.776); ISS, 0.660 (95% CI, 0.612-0.707); and GTOS, 0.660 (95% CI, 0.611-0.706) in severe geriatric trauma. The TRISS also had the highest area under the curve of 0.961 (0.919-0.985) among the injury severity scoring systems in polytrauma. The predictive ability of TRISS was significantly higher than the other four scores with respect to overall trauma and polytrauma (P<0.001). Conclusion The TRISS showed the highest prognostic performance for predicting in-hospital mortality among all the injury severity scoring systems in severe geriatric trauma.

Background: There is currently a lack of evidence-based postresuscitation or postmortem guidelines for patients with out-of-hospital cardiac arrest (OHCA) in the setting of an emerging infectious disease. This study aimed to develop and validate a multimodal screening tool that aids in predicting the disease confirmation in emergency situations and patients with OHCA during a coronavirus disease 2019 (COVID-19) outbreak. Materials and Methods: We conducted a retrospective, multicenter observational study of adult patients with OHCA in Daegu, Korea. To identify the potential predictors that could be used in screening tools in the emergency department, we applied logistic regression to data collected from March 1 to March 14. The prediction performance of the screening variables was then assessed and validated on the data of patients with OHCA who were treated between February 19 and March 31, 2020. General patient characteristics and hematological findings of the COVID-19-negative and COVID-19-positive groups were compared. We also evaluated confirmation test criteria as predictors for COVID-19 positivity in patients with OHCA. Results: Advanced age, body temperature, and abnormal chest X-ray (CXR) revealed significant predictive ability in the derivation cohort. Of the 184 adult patients with OHCA identified in the validation cohort, 80 patients were included in the analysis. Notably, 9 patients were positive and 71 were negative on the COVID-19 reverse transcription polymerase chain reaction test. Five patients (55.6%) in the COVID-19-positive group had a fever before OHCA, and 12 (16.9%) of the COVID-19-negative group had a fever before OHCA (P = 0.018).Eight patients (88.9%) in the COVID-19-positive group had a CXR indicating pneumonic infiltration. Of the criteria for predicting COVID-19, fever or an abnormal CXR had a sensitivity of 100% (95% confidence interval [CI]: 65.4 – 100) and a specificity of 22.5% (95% CI: 13.5 – 34.0). Conclusion The screening tools that combined fever or abnormal CXR had a good discriminatory ability for COVID-19 infection in adult patients with OHCA. Therefore, during the COVID-19 outbreak period, it is recommended to suspect COVID-19 infection and perform COVID-19 test if patients present with a history of fever or show abnormal findings in postmortem CXR

Objective: This study compared the prognostic performance of the following five injury severity scores: the Geriatric Trauma Outcome Score (GTOS), the Injury Severity Score (ISS), the New Injury Severity Score (NISS), the Revised Trauma Score (RTS), and the Trauma and Injury Severity Score (TRISS) for in-hospital mortality in severe geriatric trauma patients. Methods: A retrospective, cross-sectional, observational study was conducted using a database of severe geriatric trauma patients (age ≥65 years and ISS ≥16) who presented to a single regional trauma center between November 2016 and October 2018. We compared the baseline characteristics between the survivor and mortality groups and the predictive ability of the five scoring systems. Results: A total of 402 patients were included in the analysis; the in-hospital mortality rate was 25.6% (n=103). The TRISS had the highest area under the curve of 0.953 (95% confidence interval [CI], 0.927-0.971); followed by RTS, 0.777 (95% CI, 0.733-0.817); NISS, 0.733 (95% CI, 0.687-0.776); ISS, 0.660 (95% CI, 0.612-0.707); and GTOS, 0.660 (95% CI, 0.611-0.706) in severe geriatric trauma. The TRISS also had the highest area under the curve of 0.961 (0.919-0.985) among the injury severity scoring systems in polytrauma. The predictive ability of TRISS was significantly higher than the other four scores with respect to overall trauma and polytrauma (P<0.001). Conclusion The TRISS showed the highest prognostic performance for predicting in-hospital mortality among all the injury severity scoring systems in severe geriatric trauma.

BACKGROUND: We hypothesized that volar locking pate fixation using a minimum number of screws—four in the distal row and two in the shaft of the plate—will provide sufficient stability for unstable extra-articular fractures of the distal radius. We aimed to compare the biomechanical properties of different numbers and locations of screws in volar locking plate fixation and describe the clinical and radiological outcome of plate fixation using a minimum number of screws for distal radius fractures. METHODS: We divided 48 artificial radius fracture bones into four groups (group A–D) based on the number and location of screws used for fixation with volar locking plates. The artificial bone models were subjected to axial compression and volar bending load with a force of 250 N and 80 N, respectively, for 1,000 cycles at a frequency of 1 Hz. We also retrospectively reviewed 42 patients with unstable, extra-articular, distal radius fractures who were treated with volar locking plate fixation using a minimum number of screws. RESULTS: Group A (seven distal screws and three proximal screws) had the highest mean stiffness: 303.7 N/mm under axial compression and 61.1 N/mm under volar bending. Compared with group A, group D (four screws in the distal part and two screws in the shaft) showed significantly lower stiffness; therefore, group D was considered inferior in terms of stability. However, in the fatigue test, neither deformation of the metal plate nor detachment or breakage of the metal screws was observed in all groups. In the clinical study, all fractures united without displacement and satisfactory clinical outcome was obtained. CONCLUSIONS In the dorsally comminuted, extra-articular, nonosteoporotic distal radius fractures, the minimum number of screws—four in the distal row and two in the shaft—in volar locking plate fixation can provide sufficient stability. Further biomechanical studies involving osteoporotic bone will be necessary to confirm the results because volar plate fixation is most commonly used in patients with osteoporosis.