1.New Approach in the Treatment of Intertrochanteric Fracture Using a Cephalomedullary Nail
Junyoung KIM ; Kihong CHOI ; Kyu Hyun YANG
The Journal of the Korean Orthopaedic Association 2020;55(3):193-199
A gamma nail has been used to treat intertrochanteric fractures since 1988. Although such cephalomedullary nails have mechanical advantages over extramedullary fixation devices, such as sliding hip screw, their beneficial effects on treating the Arbeitsgemeinschaft für Osteosynthesefragen/Orthopaedic Trauma Association (AO/OTA) 31-A1 and 31-A2 fractures are still controversial. During their 30- year history, many problems have been overcome, and new types of cephalomedullary nails have been introduced in clinical practice. New cephalomedullary nail systems facilitate nailing procedures and enhance the purchase capability of the femoral head by a lag screw. On the other hand, the failure rate still depends on the hands of the orthopedic surgeons. This review article focused on the basic principle of medial support and restoration of a medial buttress during the treatment of trochanteric fractures using a cephalomedullary nail.
2.Changes in the glucose and insulin responses according to high-protein snacks for diabetic patients
Junyoung YANG ; Hae Jin PARK ; Wonsun HWANG ; Tae Ho KIM ; Hyeonmok KIM ; Jieun OH ; Mi Sook CHO
Nutrition Research and Practice 2021;15(1):54-65
BACKGROUND/OBJECTIVES:
This study aimed to develop healthy, appetizing high-protein snacks with enhanced isolated soy protein for diabetic patients and determine the blood glucose and insulin response after being consumed by these patients.MATERIALS/METHODS: Thirty adult patients aged between 30 and 75 years, with a ≤ 10-year history of type 2 diabetes and hemoglobin A1c of < 7.5%, were enrolled in this study. They made 3 clinical visits at one-week intervals. The control group consumed 50 g carbohydrates (white bread), whereas the test groups consumed high-protein grain (HP_G) or high-protein chocolate (HP_C) after an 8-hrs fast. Blood (2 cm 3 ) was drawn at 15, 30, 45, 60, 90, and 120 min before and after consumption to analyze the blood glucose and insulin concentrations.
RESULTS:
Compared to the commercial snacks, the developed high-protein snacks had belowaverage calorie, carbohydrate, and fat content and a 2.5-fold higher protein content. In diabetic patients who consumed these snacks, the postprandial blood glucose increased between 15 min and 2 h after consumption, which was significantly slower than the time taken for the blood glucose to increase in the patients who consumed the control food product (P< 0.001). Insulin secretion was significantly lower at 45 min after consumption (P < 0.05), showing that the highprotein snacks did not increase the blood glucose levels rapidly. The incremental area under the curve (iAUC), which indicated the degree of blood sugar and insulin elevation after food intake, was higher in the control group than the groups given the 2 developed snacks (P < 0.001), and there was no significant difference in insulin secretion.
CONCLUSIONS
The results of the postprandial blood glucose and insulin response suggest that high-protein snacks are potential convenient sources of high-quality protein and serve as a healthier alternative for patients with type 2 diabetes, who may have limited snack product choices. Such snacks may also provide balanced nutrition to pre-diabetic and obese individuals.
3.Association between Hypothyroidism and Chronic Kidney Disease in Korean Adults: A Study Based on the Sixth Korea National Health and Nutrition Examination Survey (KNHANES VI), 2013–2015
Seok Young JANG ; Ye Seul YANG ; Junyoung YOON ; Jae Moon YUN ; Woo Kyung BAE ; Choon-Young KIM ; Ju Young KIM ; Kiheon LEE
Korean Journal of Family Practice 2020;10(2):116-122
Background:
Previous studies suggested the correlation between thyroid and kidney functions, especially the high prevalence of hypothyroidism in chronic kidney disease. This study aimed to evaluate the influence of hypothyroidism on kidney function in Korean adults by using data from a representative nationwide survey.
Methods:
This was a cross-sectional study composed of 5,250 individuals aged ≥19 years who were enrolled in the sixth Korea National Health and Nutrition Examination Survey. The participants were classified into three groups of patients with euthyroidism, subclinical hypothyroidism, and overt hypothyroidism according to thyroid function. Chronic kidney disease was defined as having a decreased estimated glomerular filtration rate (eGFR) of <60 mL/min/1.73 m2. Univariate and multivariate logistic regression analyses were used to evaluate the prevalence and adjusted odds ratio (aOR) of chronic kidney disease.
Results:
Compared with the euthyroidism group, the subclinical and overt hypothyroidism groups showed higher prevalence rates of chronic kidney disease in both sexes. This tendency was significant in the elderly people aged ≥65 years. In the multivariate logistic regression analysis, the subclinical hypothyroidism group did not show a significant difference (adjusted odds ratio [aOR], 1.78; 95% confidence interval [CI], 0.82–3.87) from the euthyroidism group. In the overt hypothyroidism group, the aOR of chronic kidney disease was significantly higher (aOR, 5.90; 95% CI, 1.73– 20.15) than that in the euthyroidism group.
Conclusion
Overt hypothyroidism was associated with decreased eGFR and may be considered as an independent risk factor of chronic kidney disease.
4.A pilot study using machine learning methods about factors influencing prognosis of dental implants
Seung Ryong HA ; Hyun Sung PARK ; Eung Hee KIM ; Hong Ki KIM ; Jin Yong YANG ; Junyoung HEO ; In Sung Luke YEO
The Journal of Advanced Prosthodontics 2018;10(6):395-400
PURPOSE: This study tried to find the most significant factors predicting implant prognosis using machine learning methods. MATERIALS AND METHODS: The data used in this study was based on a systematic search of chart files at Seoul National University Bundang Hospital for one year. In this period, oral and maxillofacial surgeons inserted 667 implants in 198 patients after consultation with a prosthodontist. The traditional statistical methods were inappropriate in this study, which analyzed the data of a small sample size to find a factor affecting the prognosis. The machine learning methods were used in this study, since these methods have analyzing power for a small sample size and are able to find a new factor that has been unknown to have an effect on the result. A decision tree model and a support vector machine were used for the analysis. RESULTS: The results identified mesio-distal position of the inserted implant as the most significant factor determining its prognosis. Both of the machine learning methods, the decision tree model and support vector machine, yielded the similar results. CONCLUSION: Dental clinicians should be careful in locating implants in the patient's mouths, especially mesio-distally, to minimize the negative complications against implant survival.
Decision Trees
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Dental Implants
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Dentists
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Humans
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Machine Learning
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Methods
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Mouth
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Oral and Maxillofacial Surgeons
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Pilot Projects
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Prognosis
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Sample Size
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Seoul
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Support Vector Machine