PURPOSE:Enhanced immunosuppression for preventing acute rejection, But infection is an inevitable complication. This study was performed to evaluate the risk factors of herpes simplex virus (HSV) and varicella zoster virus (VZV) infection which are frequent and serious complication of renal transplant recipients. METHOD:We evaluated the incidence and risk factors for post-transplant HSV and VZV infection in three hundred and twenty three adult renal transplant recipients. RESULTS:The averaged period of infection was 37.8 months and 42% of infection occurred within six month after transplantation. Prevalence of HSV and VZV infection in diabetes patients are higher than that of non-diabetes patients (p=0.01). The other factors such as age, sex, acute rejection and immunosuppressive regimens, antibody induction didnt affect HSV and VZV infections in renal transplant recipients. CONCLUSION:As diabetic condition suggested more susceptibility to HSV and VZV infections, it is necessary to evaluate the possible occurrence of HSV and VZV infections carefully in transplant recipients with diabetes.
Adult ; Chickenpox ; Herpes Simplex ; Herpesvirus 3, Human ; Humans ; Immunosuppression ; Incidence ; Kidney ; Kidney Transplantation ; Methylmethacrylates ; Polystyrenes ; Prevalence ; Rejection (Psychology) ; Risk Factors ; Simplexvirus ; Transplants

PURPOSE: In IgA nephropathy (IgAN), crescent formation appears to represent a nonspecific response to severe injury to the glomerular capillary wall. This study was performed to evaluate the clinicopathological manifestations of the crescents and their effects on the clinical courses of IgAN. METHODS: The patients diagnosed IgAN were included and the information about their renal biopsies, chemistries and immunohistochemistry findings were collected retrospectively. Some patients that have similar renal function and protenuria were followed up for 12 months to examine the effects of crescents on the renal prognosis. RESULTS: 38 patients with crescents and 177 patients without crescents were enrolled. The patients with IgAN with crescents showed significantly lower renal function (MDRD eGFR 58.5 vs 88.4 ml/min/1.73m2), higher blood pressure, larger amount of proteinuria and more severe hematuria than those patients without crescents. In pathologic findings, HS Lee grades were higher (2.9 vs 1.9). When we selected patients with mildly decreased renal function (serum creatinine <2.5 mg/dL, PCR 0.5-8 g/gCr), the patients with crescents presented lower renal function and higher proteinuria but no statistical significance. After 12 months of treatment, the patients with crescents showed significantly lower renal function (MDRD eGFR 78.6 vs 96.5 ml/min/1.73m2) and higher proteinuria (0.9 vs 0.6 g/gCr). CONCLUSION: The patients with IgAN with crescents showed more deteriorated clinicopathological findings than those without crescents. Despite aggressive treatments, they presented a significantly decreased renal function and larger amount of proteinuria after 1 year. So crescents are supposed to have poor effects on the clinical course.
Biopsy ; Blood Pressure ; Capillaries ; Creatinine ; Glomerulonephritis, IGA ; Hematuria ; Humans ; Immunoglobulin A ; Immunohistochemistry ; Polymerase Chain Reaction ; Proteinuria ; Retrospective Studies

BACKGROUND: We investigated the effects of the common polymorphisms in the peroxisome proliferator- activated receptor gamma2 (PPAR-gamma2 Pro12Ala) and in PPAR-gamma coactivator 1alpha (PGC-1alpha Gly482Ser) genes on the association with the nephropathy of Korean patients with type 2 diabetes mellitus. METHODS: A total of 113 patients with type 2 diabetes and 123 patients with diabetic nephropathy were enrolled in this study. The Pro12Ala polymorphism of the PPAR-gamma2 gene and the Gly482Ser polymorphism in the PGC-1alpha gene were determined with the polymerase chain reaction amplification, BstU-I and Msp I enzyme digestion, and gel electrophoresis. RESULTS: The genotype and allelic frequency of PPAR-gamma2 Pro12Ala gene were not different statistically between the diabetic nephropathy and the control. The genotype of PGC-1alpha Gly482Ser in diabetic nephropathy was also not different from those in control. The allelic frequency and carriage rate of Ser allele in PGC-1alpha Gly482Ser were significantly higher in patients with diabetic nephropathy than those in control (respectively, p<0.05). CONCLUSION: The polymorphisms of the PGC-1alpha Gly482Ser gene are significantly associated with the nephropathy in Korean patients with type 2 diabetes mellitus.

BACKGROUND: We investigated the effects of the common polymorphisms in the peroxisome proliferator- activated receptor gamma2 (PPAR-gamma2 Pro12Ala) and in PPAR-gamma coactivator 1alpha (PGC-1alpha Gly482Ser) genes on the association with the nephropathy of Korean patients with type 2 diabetes mellitus. METHODS: A total of 113 patients with type 2 diabetes and 123 patients with diabetic nephropathy were enrolled in this study. The Pro12Ala polymorphism of the PPAR-gamma2 gene and the Gly482Ser polymorphism in the PGC-1alpha gene were determined with the polymerase chain reaction amplification, BstU-I and Msp I enzyme digestion, and gel electrophoresis. RESULTS: The genotype and allelic frequency of PPAR-gamma2 Pro12Ala gene were not different statistically between the diabetic nephropathy and the control. The genotype of PGC-1alpha Gly482Ser in diabetic nephropathy was also not different from those in control. The allelic frequency and carriage rate of Ser allele in PGC-1alpha Gly482Ser were significantly higher in patients with diabetic nephropathy than those in control (respectively, p<0.05). CONCLUSION: The polymorphisms of the PGC-1alpha Gly482Ser gene are significantly associated with the nephropathy in Korean patients with type 2 diabetes mellitus.

PURPOSE: This study was aimed at finding clinical factors to be associated with a progressive course of IgA nephropathy. METHODS: We investigated the association between the prognosis of IgA nephropathy and clinical and laboratory findings including age, sex, hypertension, diabetes mellitus, 24-hour urine protein, macroscopic hematuria, hematuria duration, serum uric acid, serum creatinine, GFR, upper respiratory infection, pathological observation, and treatment protocols. One hundred seventy seven patients were followed up for more than 2 years at Kyung Hee university medical center from January 1997 through December 2006. Kidney size and echogenicity were measured by abdominal ultrasonography. Resistive index was calculated by doppler ultrasonography. RESULTS: Long hematuria duration, increased uric acid, elevated creatinine of chronic renal failure group were distinguished from those of normal and acute renal failure group statistically. Using multivariate analysis, three factors, elevated serum uric acid, decreased GFR, ACE inhibitor or ARB and steroid combination treatment proved to be independent prognostic indicators of acute renal failure of IgA nephropathy. Heavy proteinuria, long hematuria duration, and severe histopathologic findings by Haas' classification were associated with significant risk factors for developing chronic renal failure. CONCLUSION: At diagnosis of IgA nephropathy, hematuria continuation and histological damage in Haas' classification were related with the reduction of renal function.
Academic Medical Centers ; Acute Kidney Injury ; Clinical Protocols ; Creatinine ; Diabetes Mellitus ; Glomerulonephritis, IGA ; Hematuria ; Humans ; Hypertension ; Immunoglobulin A ; Kidney ; Kidney Failure, Chronic ; Multivariate Analysis ; Prognosis ; Proteinuria ; Risk Factors ; Ultrasonography, Doppler ; Uric Acid

Background: Lung cancer has a high incidence and mortality worldwide, and smoking, age, sex, and body mass index are known risk factors. Using a health examination cohort, we constructed a comprehensive lung cancer risk-prediction model. Methods: This study comprised 308,804 adults aged 20 years and older who underwent health examinations at one general hospital in Korea, from 2011 to 2018. We developed a lung cancer risk prediction model using a multivariate Cox proportional hazards regression analysis for lung cancer risk factors and estimated the hazard ratios and coefficients. The model evaluation included discrimination and calibration assessments. Results: Among the 308,804 adults in the study cohort, there were 338 (0.11%) patients lung cancer, with 215 males (0.07% of 169,420 males) and 123 females (0.04% of 139,384 females). The prevalence of lung cancer was higher in males and females aged over 60 years. Age, sex, body mass index, and smoking behavior were identified as risk factors for lung cancer prevalence in this model through multivariate Cox proportional hazards analysis. The C-statistic of the development cohort was 0.785 (0.749, 0.821) and that of the validation cohort was 0.823 (0.769, 0.878). Conclusion Our lung cancer risk prediction model showed statistical significance, similar to previous prediction models, among variables that included young age, female sex, and body mass index. Future improvements should focus on population-wide applicability and associated health examination policies.

Background: Lung cancer has a high incidence and mortality worldwide, and smoking, age, sex, and body mass index are known risk factors. Using a health examination cohort, we constructed a comprehensive lung cancer risk-prediction model. Methods: This study comprised 308,804 adults aged 20 years and older who underwent health examinations at one general hospital in Korea, from 2011 to 2018. We developed a lung cancer risk prediction model using a multivariate Cox proportional hazards regression analysis for lung cancer risk factors and estimated the hazard ratios and coefficients. The model evaluation included discrimination and calibration assessments. Results: Among the 308,804 adults in the study cohort, there were 338 (0.11%) patients lung cancer, with 215 males (0.07% of 169,420 males) and 123 females (0.04% of 139,384 females). The prevalence of lung cancer was higher in males and females aged over 60 years. Age, sex, body mass index, and smoking behavior were identified as risk factors for lung cancer prevalence in this model through multivariate Cox proportional hazards analysis. The C-statistic of the development cohort was 0.785 (0.749, 0.821) and that of the validation cohort was 0.823 (0.769, 0.878). Conclusion Our lung cancer risk prediction model showed statistical significance, similar to previous prediction models, among variables that included young age, female sex, and body mass index. Future improvements should focus on population-wide applicability and associated health examination policies.

Background: Lung cancer has a high incidence and mortality worldwide, and smoking, age, sex, and body mass index are known risk factors. Using a health examination cohort, we constructed a comprehensive lung cancer risk-prediction model. Methods: This study comprised 308,804 adults aged 20 years and older who underwent health examinations at one general hospital in Korea, from 2011 to 2018. We developed a lung cancer risk prediction model using a multivariate Cox proportional hazards regression analysis for lung cancer risk factors and estimated the hazard ratios and coefficients. The model evaluation included discrimination and calibration assessments. Results: Among the 308,804 adults in the study cohort, there were 338 (0.11%) patients lung cancer, with 215 males (0.07% of 169,420 males) and 123 females (0.04% of 139,384 females). The prevalence of lung cancer was higher in males and females aged over 60 years. Age, sex, body mass index, and smoking behavior were identified as risk factors for lung cancer prevalence in this model through multivariate Cox proportional hazards analysis. The C-statistic of the development cohort was 0.785 (0.749, 0.821) and that of the validation cohort was 0.823 (0.769, 0.878). Conclusion Our lung cancer risk prediction model showed statistical significance, similar to previous prediction models, among variables that included young age, female sex, and body mass index. Future improvements should focus on population-wide applicability and associated health examination policies.

Background: Lung cancer has a high incidence and mortality worldwide, and smoking, age, sex, and body mass index are known risk factors. Using a health examination cohort, we constructed a comprehensive lung cancer risk-prediction model. Methods: This study comprised 308,804 adults aged 20 years and older who underwent health examinations at one general hospital in Korea, from 2011 to 2018. We developed a lung cancer risk prediction model using a multivariate Cox proportional hazards regression analysis for lung cancer risk factors and estimated the hazard ratios and coefficients. The model evaluation included discrimination and calibration assessments. Results: Among the 308,804 adults in the study cohort, there were 338 (0.11%) patients lung cancer, with 215 males (0.07% of 169,420 males) and 123 females (0.04% of 139,384 females). The prevalence of lung cancer was higher in males and females aged over 60 years. Age, sex, body mass index, and smoking behavior were identified as risk factors for lung cancer prevalence in this model through multivariate Cox proportional hazards analysis. The C-statistic of the development cohort was 0.785 (0.749, 0.821) and that of the validation cohort was 0.823 (0.769, 0.878). Conclusion Our lung cancer risk prediction model showed statistical significance, similar to previous prediction models, among variables that included young age, female sex, and body mass index. Future improvements should focus on population-wide applicability and associated health examination policies.