No abstract available.
Neck*

Purpose: Discharge readiness for parents of high-risk infants is an important predictor of successful transitions from hospital to home, however its assessments criteria require further refining in Korea. The purpose of this study is to provide a comprehensive overview of the measures available for assessing the discharge readiness for parents of high-risk infant and to evaluate the measurement properties of each instrument. Methods: A literature search for discharge readiness for parents of high-risk infants was performed using 8 electronic databases (MEDLINE, Embase, CINAHL, PsycINFO, Web of Science, KoreaMED, RISS, KISS), using preferred reporting items as per the systematic reviews guidelines. For the quality evaluations of the articles, the COSMIN checklist including content validity, internal structure, and the remaining measurement properties was used. Results: Among the 23 studies selected, 8 studies were excluded due to lack of information on their instrument’s measurement properties while remaining 15 studies were evaluated for the quality of measurement attributes. Overall information on the properties of the instruments was lacking in all studies. Conclusion None of the instruments evaluated all the relevant measurement properties. The results of this review suggest that it is necessary to develop a discharge readiness instrument that considers the necessary and relevant characteristics required for successful hospital to home transition for parents of high-risk infants.

Diabetes is a rapidly increasing heath care problem all over the world due to increased prevalence during past decade. Diabetic nephropathy develops in 25-30% of patients with type 1 diabetes and is the leading cause of end stage renal disease. Diabetic nephropathy is characterized by persistent proteinuria, decline in renal function, hypertension and increased cardiovascular morbidity and mortality. Early detection of diabetic nephropathy risk is an important goal because early diagnosis and treatment prevent advanced renal damage and other diabetic complications. Increased urinary albumin excretion rate is widely accepted as the first clinical sign of diabetic nephropathy. However, reduced glomerular filtration or hypertension could be the first manifestation in some diabetic patients. We need improved markers and predictors of diabetic nephropathy risk. We report a case of diabetic nephropathy and decreased glomerular filtration rate (GFR) without microalbuminuria occcured in type 1 diabetic patient.
Diabetes Complications ; Diabetic Nephropathies* ; Early Diagnosis ; Filtration ; Glomerular Filtration Rate ; Humans ; Hypertension ; Kidney Failure, Chronic ; Mortality ; Prevalence ; Proteinuria

Objectives: This study investigated sleep quality in female full-time homemakers and evaluated the relationship of sleep disturbance with psychological and socio-environmental factors. Methods: This cross-sectional study adopted a structured survey and sequential recruitment method for randomized participation of community-dwelling full-time female homemakers. Sleep quality and mental health were measured using the Korean version of the Pittsburgh Sleep Quality Index (K-PSQI), Korean version of the Beck Depression Inventory-II (K-BDI-II), Korean version of the Beck Anxiety Inventory (K-BAI), and Korean version of the Beck Hopelessness Scale (K-BHS). The willingness-to-pay (WTP) method was selected to measure the self-evaluated monetary value of household service work. The relationship among the main relevant factors was statistically analyzed through a mediation model. Results: A total of 166 participants were analyzed and classified having poor versus good sleep quality (poor : 24.1%, n = 40 ; good : 75.9%, n = 126 ; cut-off point = 9 on the K-PSQI). Significant between-group differences were observed in mental health status (K-BDI-II, p < 0.001 ; K-BAI, p < 0.001 ; K-BHS, p = 0.003). The moderated mediation model was verified, indicating that depression may mediate the association between nurturing burden and sleep disturbance. The path from nurturing burden to depression may be moderated by average monthly household income. Conclusion A relatively high portion of full-time female homemakers may suffer from sleep disturbance and interactions between psychological and socio-environmental factors might determine sleep quality, suggesting the need for public health policies targeting improvement of sleep quality and mental health among full-time homemakers.

We report a case of hearing rehabilitation following combined cochlear implantation and ossiculoplasty. A 71-year-old patient visited the clinic for right-sided mixed hearing loss. We targeted neural and conductive components, performing two different operations simultaneously. At two months post-operative, the patient showed satisfactory results with respect to hearing threshold and speech comprehension. Our experience suggests that careful evaluation of patients and consideration of the diverse array of available treatment strategies can be used to provide personalized rehabilitation with maximal effectiveness. To the best of our knowledge, this is the first report to take such an integrated approach to treat hearing impairment and is thus likely to have clinical importance for otologists.

Objectives: This study investigated sleep quality in female full-time homemakers and evaluated the relationship of sleep disturbance with psychological and socio-environmental factors. Methods: This cross-sectional study adopted a structured survey and sequential recruitment method for randomized participation of community-dwelling full-time female homemakers. Sleep quality and mental health were measured using the Korean version of the Pittsburgh Sleep Quality Index (K-PSQI), Korean version of the Beck Depression Inventory-II (K-BDI-II), Korean version of the Beck Anxiety Inventory (K-BAI), and Korean version of the Beck Hopelessness Scale (K-BHS). The willingness-to-pay (WTP) method was selected to measure the self-evaluated monetary value of household service work. The relationship among the main relevant factors was statistically analyzed through a mediation model. Results: A total of 166 participants were analyzed and classified having poor versus good sleep quality (poor : 24.1%, n = 40 ; good : 75.9%, n = 126 ; cut-off point = 9 on the K-PSQI). Significant between-group differences were observed in mental health status (K-BDI-II, p < 0.001 ; K-BAI, p < 0.001 ; K-BHS, p = 0.003). The moderated mediation model was verified, indicating that depression may mediate the association between nurturing burden and sleep disturbance. The path from nurturing burden to depression may be moderated by average monthly household income. Conclusion A relatively high portion of full-time female homemakers may suffer from sleep disturbance and interactions between psychological and socio-environmental factors might determine sleep quality, suggesting the need for public health policies targeting improvement of sleep quality and mental health among full-time homemakers.

Background: This study was conducted to evaluate the potential of using ChatGPT in dental morphology education. Dentalmorphology is a fundamental subject in dental education that enables students to understand the structure and function of teeth, which is necessary for accurate diagnosis and treatment planning. Recently, artificial intelligence (AI) technology has gained attention as an educational support tool, and large language models like ChatGPT hold great potential to facilitate learners’ understanding through real-time interaction. Methods: This study involved asking GPT-4 questions from the national dental hygiene exam’s dental morphology section from 2021 to 2023, followed by an analysis of its response accuracy. Results: The results showed that GPT-4 demonstrated high accuracy in some questions but lacked consistency depending on thedifficulty and content of the questions. Specifically, GPT-4 was found to struggle with understanding complex tooth morphology and detailed academic concepts. Conclusion These findings suggest that ChatGPT could be a useful educational tool in dental morphology education, althoughsupplementary educational adjustments are necessary. Future research should explore developing a learning environment where AI and educators collaborate to address AI limitations and enhance students’ learning motivation and comprehension.

Background: This study was conducted to evaluate the potential of using ChatGPT in dental morphology education. Dentalmorphology is a fundamental subject in dental education that enables students to understand the structure and function of teeth, which is necessary for accurate diagnosis and treatment planning. Recently, artificial intelligence (AI) technology has gained attention as an educational support tool, and large language models like ChatGPT hold great potential to facilitate learners’ understanding through real-time interaction. Methods: This study involved asking GPT-4 questions from the national dental hygiene exam’s dental morphology section from 2021 to 2023, followed by an analysis of its response accuracy. Results: The results showed that GPT-4 demonstrated high accuracy in some questions but lacked consistency depending on thedifficulty and content of the questions. Specifically, GPT-4 was found to struggle with understanding complex tooth morphology and detailed academic concepts. Conclusion These findings suggest that ChatGPT could be a useful educational tool in dental morphology education, althoughsupplementary educational adjustments are necessary. Future research should explore developing a learning environment where AI and educators collaborate to address AI limitations and enhance students’ learning motivation and comprehension.

Background: This study was conducted to evaluate the potential of using ChatGPT in dental morphology education. Dentalmorphology is a fundamental subject in dental education that enables students to understand the structure and function of teeth, which is necessary for accurate diagnosis and treatment planning. Recently, artificial intelligence (AI) technology has gained attention as an educational support tool, and large language models like ChatGPT hold great potential to facilitate learners’ understanding through real-time interaction. Methods: This study involved asking GPT-4 questions from the national dental hygiene exam’s dental morphology section from 2021 to 2023, followed by an analysis of its response accuracy. Results: The results showed that GPT-4 demonstrated high accuracy in some questions but lacked consistency depending on thedifficulty and content of the questions. Specifically, GPT-4 was found to struggle with understanding complex tooth morphology and detailed academic concepts. Conclusion These findings suggest that ChatGPT could be a useful educational tool in dental morphology education, althoughsupplementary educational adjustments are necessary. Future research should explore developing a learning environment where AI and educators collaborate to address AI limitations and enhance students’ learning motivation and comprehension.

Supraaortic stenosis is a localized or diffuse congenital narrowing of the ascending aorta at the levels of superior margin of the sinus of Valsalva, just above coronary arteries. Hemodynamically, it is a usually manifestated as aortic stenosis especially when it combined with subaortic membrane. And there is no case report of supraaortic stenosis combined with subaortic membrane which has aortic valvular reurgitation due to secondary change of dilated sinus of Valsalva by supraaortic ridge. We have experienced a case of aortic regurgitation associated with supraaortic ridge combined with subvalvular aortic membrane.
Aorta ; Aortic Valve Insufficiency* ; Aortic Valve Stenosis ; Constriction, Pathologic ; Coronary Vessels ; Membranes* ; Sinus of Valsalva