1.Trichoblastic Fibroma: A Pathologic Analysis of 4 Cases.
Ah Won LEE ; Ji Han JUNG ; Jin Young YOO ; Seok Jin KANG ; Byung Kee KIM
Korean Journal of Pathology 2000;34(8):574-580
Trichoblastic fibroma is a benign trichogenic tumor that has both epithelial and mesenchymal components and exhibits partial follicular induction. We studied 4 cases of trichoblastic fibroma and reviewed their clinical and histologic features. Two tumors were present in the face. The remaining two were in the vulva and perianal area, respectively. The age of the patients ranged from 53 to 68 years, with an average age of 62. All were female. Histologically, the lesions showed a well circumscribed mass, located at dermo-subcutaneous junction in three patients and subcutaneous in one. They demonstrated mesenchymal induction evidenced by hair germ-like structure and perifollicular sheath. There was no connection between the tumor and epidermis. Differentiation toward hair structure led to the formation of the infundibulum through inner root sheath. Trichoblastic fibroma may be confused clinically and/or histologically with basal cell carcinoma. Identification of the mixed epithelial and mesenchymal components, and the absence of epidermal connection and cleft within the stroma are important in differentiating this benign neoplasm from basal cell carcinoma.
Carcinoma, Basal Cell
;
Epidermis
;
Female
;
Fibroma*
;
Hair
;
Humans
;
Vulva
2.Necrotizing Vasculitis of the Gallbladder: A case report.
Ah Won LEE ; Youn Soo LEE ; Seok Jin KANG ; Byung Kee KIM ; Sang In SHIM
Korean Journal of Pathology 1999;33(4):292-294
We report a case of necrotizing arteritis involving the gallbladder. This case was clinically diagnosed as cholelithiasis with cholecystitis, and necrotizing arteritis was found in the surgically resected specimen. Vascular changes were similar to those seen in classic polyarteritis nodosa, involving medium-sized muscular arteries and characterized by fibrinoid necrosis and panarterial and periarterial inflammation varying from active to resolving stages. Acute cholecystitis is a rare initial clinical manifestation of the systemic vasculitis. If acute cholecystitis is found in the absence of obvious cause, careful examination is essential. Since steroid therapy improves the prognosis in the systemic vasculitis, clinicians and pathologists should be aware of this unusual lesion.
Arteries
;
Cholecystitis
;
Cholecystitis, Acute
;
Cholelithiasis
;
Gallbladder*
;
Inflammation
;
Necrosis
;
Polyarteritis Nodosa
;
Prognosis
;
Systemic Vasculitis
;
Vasculitis*
3.Analysis of dietary behavior and intake related to glycemic control in patients with type 2 diabetes aged 30 years or older in Korea: Utilizing the 8th Korea National Health and Nutrition Examination Survey (2019–2021)
Nutrition Research and Practice 2024;18(2):239-256
BACKGROUND/OBJECTIVES:
Over the past 10 yrs, the prevalence of diabetes in Korea has continued to incline, and the importance of lifestyle modification to manage diabetes has been highlighted. For patients with diabetes, carbohydrate intake reduction is effective in improving glycemic control; thus, we aimed to analyze the effect of carbohydrate intake ratio and suggest an appropriate carbohydrate intake ratio.
SUBJECTS/METHODS:
Using the 8th Korea National Health and Nutrition Examination Survey (2019–2021), we analyzed the data including participants aged 30 yrs or older with diabetes, and they were stratified into good and poor glycemic control groups. To analyze the correlation between the dietary behavior characteristics of participants with diabetes and the carbohydrate intake ratio, sociodemographic characteristics, dietary behavior, and health behavior were adjusted, and multivariate logistic regression analysis was conducted to present the adjusted odds ratio and 95% confidence interval (CI).
RESULTS:
In the unadjusted crude model, when carbohydrate intake ratio in total energy intake increased by 1%, the likelihood of poor glycemic control increased by 1.007-fold (95% CI, 0.998–1.016; P = 0.121). In model 1, which uses age and sex as adjustment variables, an increase of up to 1.011-fold was possible (95% CI, 1.001–1.021; P = 0.008). In model 2, which added variables such as diabetes duration, frequency of fruit consumption, frequency of lunch and, frequency of dinner, the risk of poor glycemic control increased by 1.010-fold as the carbohydrate intake ratio increased (95% CI, 0.998–1.022; P < 0.001).
CONCLUSION
This study confirmed that as the ratio of carbohydrate intake to total energy intake increases the likelihood of poor glycemic control also increases in patients with diabetes. Therefore, to improve glycemic control in patients with diabetes, controlling the carbohydrate intake may be helpful.
5.Analysis of dietary behavior and intake related to glycemic control in patients with type 2 diabetes aged 30 years or older in Korea: Utilizing the 8th Korea National Health and Nutrition Examination Survey (2019–2021)
Nutrition Research and Practice 2024;18(2):239-256
BACKGROUND/OBJECTIVES:
Over the past 10 yrs, the prevalence of diabetes in Korea has continued to incline, and the importance of lifestyle modification to manage diabetes has been highlighted. For patients with diabetes, carbohydrate intake reduction is effective in improving glycemic control; thus, we aimed to analyze the effect of carbohydrate intake ratio and suggest an appropriate carbohydrate intake ratio.
SUBJECTS/METHODS:
Using the 8th Korea National Health and Nutrition Examination Survey (2019–2021), we analyzed the data including participants aged 30 yrs or older with diabetes, and they were stratified into good and poor glycemic control groups. To analyze the correlation between the dietary behavior characteristics of participants with diabetes and the carbohydrate intake ratio, sociodemographic characteristics, dietary behavior, and health behavior were adjusted, and multivariate logistic regression analysis was conducted to present the adjusted odds ratio and 95% confidence interval (CI).
RESULTS:
In the unadjusted crude model, when carbohydrate intake ratio in total energy intake increased by 1%, the likelihood of poor glycemic control increased by 1.007-fold (95% CI, 0.998–1.016; P = 0.121). In model 1, which uses age and sex as adjustment variables, an increase of up to 1.011-fold was possible (95% CI, 1.001–1.021; P = 0.008). In model 2, which added variables such as diabetes duration, frequency of fruit consumption, frequency of lunch and, frequency of dinner, the risk of poor glycemic control increased by 1.010-fold as the carbohydrate intake ratio increased (95% CI, 0.998–1.022; P < 0.001).
CONCLUSION
This study confirmed that as the ratio of carbohydrate intake to total energy intake increases the likelihood of poor glycemic control also increases in patients with diabetes. Therefore, to improve glycemic control in patients with diabetes, controlling the carbohydrate intake may be helpful.
7.Analysis of dietary behavior and intake related to glycemic control in patients with type 2 diabetes aged 30 years or older in Korea: Utilizing the 8th Korea National Health and Nutrition Examination Survey (2019–2021)
Nutrition Research and Practice 2024;18(2):239-256
BACKGROUND/OBJECTIVES:
Over the past 10 yrs, the prevalence of diabetes in Korea has continued to incline, and the importance of lifestyle modification to manage diabetes has been highlighted. For patients with diabetes, carbohydrate intake reduction is effective in improving glycemic control; thus, we aimed to analyze the effect of carbohydrate intake ratio and suggest an appropriate carbohydrate intake ratio.
SUBJECTS/METHODS:
Using the 8th Korea National Health and Nutrition Examination Survey (2019–2021), we analyzed the data including participants aged 30 yrs or older with diabetes, and they were stratified into good and poor glycemic control groups. To analyze the correlation between the dietary behavior characteristics of participants with diabetes and the carbohydrate intake ratio, sociodemographic characteristics, dietary behavior, and health behavior were adjusted, and multivariate logistic regression analysis was conducted to present the adjusted odds ratio and 95% confidence interval (CI).
RESULTS:
In the unadjusted crude model, when carbohydrate intake ratio in total energy intake increased by 1%, the likelihood of poor glycemic control increased by 1.007-fold (95% CI, 0.998–1.016; P = 0.121). In model 1, which uses age and sex as adjustment variables, an increase of up to 1.011-fold was possible (95% CI, 1.001–1.021; P = 0.008). In model 2, which added variables such as diabetes duration, frequency of fruit consumption, frequency of lunch and, frequency of dinner, the risk of poor glycemic control increased by 1.010-fold as the carbohydrate intake ratio increased (95% CI, 0.998–1.022; P < 0.001).
CONCLUSION
This study confirmed that as the ratio of carbohydrate intake to total energy intake increases the likelihood of poor glycemic control also increases in patients with diabetes. Therefore, to improve glycemic control in patients with diabetes, controlling the carbohydrate intake may be helpful.
9.Analysis of dietary behavior and intake related to glycemic control in patients with type 2 diabetes aged 30 years or older in Korea: Utilizing the 8th Korea National Health and Nutrition Examination Survey (2019–2021)
Nutrition Research and Practice 2024;18(2):239-256
BACKGROUND/OBJECTIVES:
Over the past 10 yrs, the prevalence of diabetes in Korea has continued to incline, and the importance of lifestyle modification to manage diabetes has been highlighted. For patients with diabetes, carbohydrate intake reduction is effective in improving glycemic control; thus, we aimed to analyze the effect of carbohydrate intake ratio and suggest an appropriate carbohydrate intake ratio.
SUBJECTS/METHODS:
Using the 8th Korea National Health and Nutrition Examination Survey (2019–2021), we analyzed the data including participants aged 30 yrs or older with diabetes, and they were stratified into good and poor glycemic control groups. To analyze the correlation between the dietary behavior characteristics of participants with diabetes and the carbohydrate intake ratio, sociodemographic characteristics, dietary behavior, and health behavior were adjusted, and multivariate logistic regression analysis was conducted to present the adjusted odds ratio and 95% confidence interval (CI).
RESULTS:
In the unadjusted crude model, when carbohydrate intake ratio in total energy intake increased by 1%, the likelihood of poor glycemic control increased by 1.007-fold (95% CI, 0.998–1.016; P = 0.121). In model 1, which uses age and sex as adjustment variables, an increase of up to 1.011-fold was possible (95% CI, 1.001–1.021; P = 0.008). In model 2, which added variables such as diabetes duration, frequency of fruit consumption, frequency of lunch and, frequency of dinner, the risk of poor glycemic control increased by 1.010-fold as the carbohydrate intake ratio increased (95% CI, 0.998–1.022; P < 0.001).
CONCLUSION
This study confirmed that as the ratio of carbohydrate intake to total energy intake increases the likelihood of poor glycemic control also increases in patients with diabetes. Therefore, to improve glycemic control in patients with diabetes, controlling the carbohydrate intake may be helpful.