Background: Dental evaluation and protection are important for preventing traumatic dental injuries when patients are under general anesthesia. The objective of the present study was to develop a questionnaire based on dentition-related risk factors that could serve as a valuable tool for dental evaluation and documentation. Methods: We developed a questionnaire for dental evaluation before administration of general anesthesia, investigated the association between patient-and-dentist responses and mouthguard fabrication, and assessed response agreement between 100 patients. Results: Protective mouthguards were fabricated for 27 patients who were identified as having a high risk of dental injury. There was a strong association between dentists’ responses and mouthguard fabrication, depending on the general oral health status, use of ceramic prosthesis, presence of masticatory pain related to periodontal diseases, gingival edema, and implants (P < 0.05). Response agreement between patients and dentists for items related to dental pain, loss of dental pulp vitality, root canal therapy, dental trauma, aesthetic prosthesis, tooth mobility, and implant prosthesis was high (Cohen’s kappa coefficient κ ≥ 0.6). Conclusions A high agreement was observed between patient-dentist responses and a strong association with mouthguard fabrication for items pertaining to ceramic prosthesis, masticatory pain, and dental implants. Patients with a “yes” response to these items are recommended to undergo a dental evaluation and use a dental protective device while under general anesthesia.

Objective: The Delirium Diagnostic Tool-Provisional (DDT-Pro) was designed to detect the presence and severity of delirium briefly and objectively regardless of psychiatric expertise. We translated the DDT-Pro into Korean and validated it in elderly Korean patients. Methods: To validate the translation and evaluate inter-rater reliability, a psychiatric trainee and a research nurse independently assessed the same patients referred to the Department of Psychiatry. The results were compared with the reference evaluations performed by a psychiatrist using the Diagnostic and Statistical Manual of Mental Disorders, 5th Edition (DSM-5). Results: We enrolled 42 elderly patients. The Cronbach’s alpha coefficient were 0.839 (the trainee), 0.822 (the nurse). The Cohen’s weighted κ between the trainee and nurse, ranged from 0.555±0.102 to 0.776±0.062. The Pearson correlation coefficients (Korean version of the DDT-Pro [K-DDT-Pro] and Korean version of the Delirium Rating Scale-Revised-98 [DRS-R98-K] total score) were γ=-0.850 (the trainee), and γ=-0.821 (the nurse). The areas under the ROC curves (AUCs) were 0.974 (the trainee) and 0.893 (the nurse). Conclusion The K-DDT-Pro exhibited high internal consistency and relatively substantial inter-rater reliability. The correlation with the DRS-R98-K was strongly negative. The accuracy of the K-DDT-Pro was excellent, regardless of expertise. In conclusion, the K-DDT-Pro is a brief and simple tool that usefully screens for delirium in elderly patients.

Purpose: The purpose of this study was to investigate the actual utilization of clinical practice guidelines developed by Hospital Nurses Association. Methods: The subjects were 70 nurses who were in charge of guideline distributions in 70 advanced general hospital and general hospitals with 500 beds or more nationwide.Data were collected between June and August, 2020 by mail (return rate: 88.6%). Data were analyzed using descriptive statistics, t-test, and ANOVA with SPSS/WIN 24.0. Results: Among the clinical practice guidelines developed by Hospital Nurses Association, 72.9~90.1% were placed with book and electronic file in nursing department and 24.3~35.8% were placed with book and electronic file in each nursing unit at hospital. The average number of utilized clinical practice guidelines were 3.96±3.88, and average score of guideline utilization was score 2.85±0.79 which means ‘use sometimes’. Conclusion To improve the distribution and utilization of the clinical practice guidelines, it is necessary to enhance the recognition of values of evidence based nursing practice targeting head of nursing department and to stimulate the distribution and utilization of the clinical practice guidelines using diverse education programs for staff nurses.

Sebaceomas of the external auditory canal (EAC) are extremely rare. The recognition of sebaceoma is important as this benign tumor can be be part of the spectrum of the Muir-Torre syndrome (MTS), which is associated with visceral malignancy and multiple adenomatous polyps. Proper histological identification is thus important for further investigation. We describe a rare case of a sebaceoma that was confined to the EAC. Subsequent immunohistochemical (IHC) staining analysis of the mismatch repair genes (MLH1, MSH2, MSH6, and PMS2) was needed to investigate MTS. Even though the patient has had the history of colon cancer, the result was negative. Otorhinolaryngologists should be aware of rare sebaceoma and its potential association with the internal malignancy, besides the limitation of IHC screening test.

PURPOSE: The aim of this study was to conduct a histologic evaluation of irradiated calvarial defects in rats 4 weeks after applying fibroblast growth factor-2 (FGF-2) with hyaluronan or biphasic calcium phosphate (BCP) block in the presence or absence of adjunctive hyperbaric oxygen (HBO) therapy. METHODS: Twenty rats were divided into HBO and non-HBO (NHBO) groups, each of which was divided into FGF-2 and BCP-block subgroups according to the grafted material. Localized radiation with a single 12-Gy dose was applied to the calvaria of rats to simulate radiotherapy. Four weeks after applying this radiation, 2 symmetrical circular defects with a diameter of 6 mm were created in the parietal bones of each animal. The right-side defect was filled with the materials mentioned above and the left-side defect was not filled (as a control). All defects were covered with a resorbable barrier membrane. During 4 weeks of healing, 1 hour of HBO therapy was applied to the rats in the HBO groups 5 times a week. The rats were then killed, and the calvarial specimens were harvested for radiographic and histologic analyses. RESULTS: New bone formation was greatest in the FGF-2 subgroup, and improvement was not found in the BCP subgroup. HBO seemed to have a minimal effect on new bone formation. There was tendency for more angiogenesis in the HBO groups than the NHBO groups, but the group with HBO and FGF-2 did not show significantly better outcomes than the HBO-only group or the NHBO group with FGF-2. CONCLUSIONS: HBO exerted beneficial effects on angiogenesis in calvarial defects of irradiated rats over a 4-week healing period, but it appeared to have minimal effects on bone regeneration. FGF-2 seemed to enhance new bone formation and angiogenesis, but its efficacy appeared to be reduced when HBO was applied.
Animals ; Bone Regeneration ; Calcium ; Fibroblast Growth Factor 2 ; Hyaluronic Acid ; Hyperbaric Oxygenation ; Membranes ; Osteogenesis ; Oxygen ; Parietal Bone ; Radiotherapy ; Rats ; Skull ; Transplants

BACKGROUND AND OBJECTIVES: This study aimed to confirm the effects of traditional holidays on the incidence and outcomes of out-of-hospital cardiac arrest (OHCA) in South Korea. METHODS: We studied 95,066 OHCAs of cardiac cause from a nationwide, prospective study from the Korea OHCA Registry from January 2012 to December 2016. We compared the incidence of OHCA, in-hospital mortality, and neurologic outcomes between traditional holidays, Seollal (Lunar New Year's Day) and Chuseok (Korean Thanksgiving Day), and other day types (weekday, weekend, and public holiday). RESULTS: OHCA occurred more frequently on traditional holidays than on the other days. The median OHCA incidence were 51.0 (interquartile range [IQR], 44.0–58.0), 53.0 (IQR, 46.0–60.5), 52.5 (IQR, 45.3–59.8), and 60.0 (IQR, 52.0–69.0) cases/day on weekday, weekend, public holiday, and traditional holiday, respectively (p<0.001). The OHCA occurred more often at home rather than in public place, lesser bystander cardiopulmonary resuscitation (CPR) was performed, and the rate of cessation of CPR within 20 minutes without recovery of spontaneous circulation was higher on traditional holiday. After multivariable adjustment, traditional holiday was associated with higher in-hospital mortality (adjusted hazard ratio [HR], 1.339; 95% confidence interval [CI], 1.058–1.704; p=0.016) but better neurologic outcomes (adjusted HR, 0.503; 95% CI, 0.281–0.894; p=0.020) than weekdays. CONCLUSIONS: The incidence of OHCAs was associated with day types in a year. It occurred more frequently on traditional holidays than on other day types. It was associated with higher in-hospital mortality and favorable neurologic outcomes than weekday.
Cardiopulmonary Resuscitation ; Epidemiology ; Heart Arrest ; Holidays ; Hospital Mortality ; Incidence ; Korea ; Mortality ; Out-of-Hospital Cardiac Arrest ; Prospective Studies

BACKGROUND AND OBJECTIVES: Screening and early diagnosis for heart failure (HF) are critical. However, conventional screening diagnostic methods have limitations, and electrocardiography (ECG)-based HF identification may be helpful. This study aimed to develop and validate a deep-learning algorithm for ECG-based HF identification (DEHF). METHODS: The study involved 2 hospitals and 55,163 ECGs of 22,765 patients who performed echocardiography within 4 weeks were study subjects. ECGs were divided into derivation and validation data. Demographic and ECG features were used as predictive variables. The primary endpoint was detection of HF with reduced ejection fraction (HFrEF; ejection fraction [EF]≤40%), and the secondary endpoint was HF with mid-range to reduced EF (≤50%). We developed the DEHF using derivation data and the algorithm representing the risk of HF between 0 and 1. We confirmed accuracy and compared logistic regression (LR) and random forest (RF) analyses using validation data. RESULTS: The area under the receiver operating characteristic curves (AUROCs) of DEHF for identification of HFrEF were 0.843 (95% confidence interval, 0.840–0.845) and 0.889 (0.887–0.891) for internal and external validation, respectively, and these results significantly outperformed those of LR (0.800 [0.797–0.803], 0.847 [0.844–0.850]) and RF (0.807 [0.804–0.810], 0.853 [0.850–0.855]) analyses. The AUROCs of deep learning for identification of the secondary endpoint was 0.821 (0.819–0.823) and 0.850 (0.848–0.852) for internal and external validation, respectively, and these results significantly outperformed those of LR and RF. CONCLUSIONS: The deep-learning algorithm accurately identified HF using ECG features and outperformed other machine-learning methods.
Artificial Intelligence ; Early Diagnosis ; Echocardiography ; Electrocardiography ; Forests ; Heart Failure ; Heart ; Humans ; Learning ; Logistic Models ; Machine Learning ; Mass Screening ; ROC Curve

BACKGROUND AND OBJECTIVES: Screening and early diagnosis for heart failure (HF) are critical. However, conventional screening diagnostic methods have limitations, and electrocardiography (ECG)-based HF identification may be helpful. This study aimed to develop and validate a deep-learning algorithm for ECG-based HF identification (DEHF). METHODS: The study involved 2 hospitals and 55,163 ECGs of 22,765 patients who performed echocardiography within 4 weeks were study subjects. ECGs were divided into derivation and validation data. Demographic and ECG features were used as predictive variables. The primary endpoint was detection of HF with reduced ejection fraction (HFrEF; ejection fraction [EF]≤40%), and the secondary endpoint was HF with mid-range to reduced EF (≤50%). We developed the DEHF using derivation data and the algorithm representing the risk of HF between 0 and 1. We confirmed accuracy and compared logistic regression (LR) and random forest (RF) analyses using validation data. RESULTS: The area under the receiver operating characteristic curves (AUROCs) of DEHF for identification of HFrEF were 0.843 (95% confidence interval, 0.840–0.845) and 0.889 (0.887–0.891) for internal and external validation, respectively, and these results significantly outperformed those of LR (0.800 [0.797–0.803], 0.847 [0.844–0.850]) and RF (0.807 [0.804–0.810], 0.853 [0.850–0.855]) analyses. The AUROCs of deep learning for identification of the secondary endpoint was 0.821 (0.819–0.823) and 0.850 (0.848–0.852) for internal and external validation, respectively, and these results significantly outperformed those of LR and RF. CONCLUSIONS The deep-learning algorithm accurately identified HF using ECG features and outperformed other machine-learning methods.

BACKGROUND AND OBJECTIVES: This study aimed to confirm the effects of traditional holidays on the incidence and outcomes of out-of-hospital cardiac arrest (OHCA) in South Korea. METHODS: We studied 95,066 OHCAs of cardiac cause from a nationwide, prospective study from the Korea OHCA Registry from January 2012 to December 2016. We compared the incidence of OHCA, in-hospital mortality, and neurologic outcomes between traditional holidays, Seollal (Lunar New Year's Day) and Chuseok (Korean Thanksgiving Day), and other day types (weekday, weekend, and public holiday). RESULTS: OHCA occurred more frequently on traditional holidays than on the other days. The median OHCA incidence were 51.0 (interquartile range [IQR], 44.0–58.0), 53.0 (IQR, 46.0–60.5), 52.5 (IQR, 45.3–59.8), and 60.0 (IQR, 52.0–69.0) cases/day on weekday, weekend, public holiday, and traditional holiday, respectively (p<0.001). The OHCA occurred more often at home rather than in public place, lesser bystander cardiopulmonary resuscitation (CPR) was performed, and the rate of cessation of CPR within 20 minutes without recovery of spontaneous circulation was higher on traditional holiday. After multivariable adjustment, traditional holiday was associated with higher in-hospital mortality (adjusted hazard ratio [HR], 1.339; 95% confidence interval [CI], 1.058–1.704; p=0.016) but better neurologic outcomes (adjusted HR, 0.503; 95% CI, 0.281–0.894; p=0.020) than weekdays. CONCLUSIONS The incidence of OHCAs was associated with day types in a year. It occurred more frequently on traditional holidays than on other day types. It was associated with higher in-hospital mortality and favorable neurologic outcomes than weekday.

BACKGROUND: Emergencies in dentistry can be classified as medical and dental. Medical emergencies occur mainly during dental treatment in patients with a systemic disease. Dental emergency departments are largely divided into dental emergency rooms located in dental college hospitals and medical emergency rooms located in medical institutions. This study aimed to analyze the characteristics of and provide help to dental emergency patients in a dental hospital. METHODS: Overall, 1806 patients admitted to a dental emergency room at Yonsei University Dental Hospital for 1 year were included. The data collection period was from October 1, 2014 to September 30, 2015. An investigator reviewed medical records from the electronic medical record (EMR) system and radiographs. RESULTS: The patients were 1,070 men and 736 women. The sex ratio was 1.45:1. The commonest age group was of 0–9 years, including 451 (25.0%) patients, followed by 20–29 years, including 353 (19.5%) patients, and 30–39 years, including 277 (15.3%) patients. Of the 108 patients transferred to the Severance emergency department, 81 had trauma, 19 were in pain, 4 were bleeding, and 4 had other complaints. Among chief complaints, 1,079 patients (60.3%) had trauma, 564 (31.5%) had pain, and 75 (4.2%) had bleeding. Twenty-three cases (1.3%) were caused by temporomandibular disorder (TMD). CONCLUSION: Dentists should be able to adequately assess patients in a dental emergency room and treat trauma, pain, and bleeding.
Data Collection ; Dentistry ; Dentists ; Electronic Health Records ; Emergencies ; Emergency Service, Hospital ; Female ; Hemorrhage ; Humans ; Male ; Medical Records ; Research Personnel ; Retrospective Studies ; Sex Ratio ; Temporomandibular Joint Disorders