1.The Analysis of Risk Factors of Donor Affecting the Graft Survival in Cadaveric Kidney Transplantation.
Pil Sung KONG ; Kwang Woong LEE ; Inn Suck CHOI ; Sung Ju KIM ; Geon Do SONG ; Suk Koo LEE ; Yong Il KIM ; Byung Boong LEE ; Jae Won JOH
Journal of the Korean Surgical Society 2001;60(3):281-287
PURPOSE: The supply of donor organs does not meet the demand of transplantation. To find a possible way of expanding the donor pool, we have evaluated the risk factors of cadaveric donors that influence the graft survival. METHODS: Between Feb. 1995 and Dec. 1999, we performed 200 cases of cadaveric kidney transplantation. The graft survival rates in 1 yr, 2 yr, & 3 yr are 93.0%, 91.1%, & 89.9%, respectively. We defined the marginal donor as a donor who possesses one of the risk factors of donor age > or = 50, or < or =5 year old (n=18), ICU stay > or =10 days (n=46), history of hypertension (n=30), CPR > or =20 min (n=7), prolonged hypotension (SBP < or =80 mmHg, over 6 hr) (n=40), high dose inotropic support (dopamine > or =20microgram/kg/min, or dobutamine > or =15microgram/kg/min) (n=78), serum creatinine level > or =2.5 mg/dl (n=16), or cold ischemic time > or =12 hr (n=34). We compared graft survival rates between the marginal donor group and the non-marginal donor group, and analyzed risk factors affecting graft survival by univariate and multivariate methods. RESULTS: CPR > or =20 min (71.5%, 71.5%, - vs 93.8%, 91.8%, 90.6%, p=0.027), prolonged hypotension (85.0%, 85.0%, 80.3% vs 95.0%, 92.6%, 92.6%, p=0.028) and serum creatinine > or =2.5 mg/dl (75.0%, 75.0%, 75.0% vs 94.6%, 92.4%, 91.0%, p=0.001) affect graft survival in univariate analysis. There is, However, no risk factor that affects graft survival in multivariate analysis. CONCLUSION: We can increase the supply of donor organs for kidney transplantation by the selective use of high-risk cadaver donor. However, a prospective randomized study including recipient factors is needed to define the acceptable conditions better.
Risk Factors
2.Role of Transcription Factors in Bone and Vascular Mineralization.
Journal of Korean Society of Endocrinology 2005;20(6):589-596
No Abstract available.
Transcription Factors*
3.A Clinical Study about the Risk Factors of the Neonatal Clavicular Fracture.
Kyu Hee PARK ; Dong Yeung KIM ; Mun Yeung CHA ; Jeong Sik SEO ; Tae Hwan YOO ; Yong Kyoon CHO ; Hoon CHOI ; Bok Rin KIM ; Hong Kyoon LEE
Korean Journal of Obstetrics and Gynecology 1997;40(12):2848-2852
No abstract available.
Risk Factors*
4.Thyroid-specific Genes Transcription Factors.
Journal of Korean Society of Endocrinology 2002;17(3):312-324
No abstract available.
Transcription Factors*
5.Serum Ferritin as a Risk Factor in Type 2 Diabetes Mellitus.
Jung Hyun KIM ; Ho Seong KIM ; Duk Hee KIM
Korean Journal of Pediatrics 2005;48(11):1239-1243
PURPOSE: Iron accumulation interferes with hepatic insulin extraction and affects insulin synthesis and secretion. The purpose of this study is to investigate the correlation between serum ferritin and type 2 diabetes mellitus. METHODS: We compared the serum ferritin level among 18 patients in an impaired glucose tolerance (IGT) group, 36 in a type 1 diabetes group, eight in a type 2 diabetes group and 29 in a healthy control group. The correlation between serum ferritin levels and sex, body mass indices (BMI), blood pressure (BP), serum fasting sugar level and serum fasting insulin level were also analyzed. RESULTS: The mean log ferritin were 1.33+/-0.32 (healthy control group), 1.63+/-0.19 (IGT group) and 1.90+/-0.30 (type 2 diabetes group). In the IGT group, log ferritin was higher than in the healthy control group (P=0.001). The log ferritin of the type 2 diabetes group was higher than that of the healthy control group (P=0.001). Comparing log ferritin to other factors, log ferritin had a significant positive correlation with body mass indices (P< 0.001), systolic blood pressure (P=0.001), and fasting glucose (P= 0.001), fasting insulin (P=0.002). CONCLUSION: Compared to the normal healthy group, serum ferritin concentrations were significantly higher in the IGT group and the type 2 diabetes group. The elevation of serum ferritin concentration may be a risk factor of type 2 diabetes mellitus.
Risk Factors
6.Risk factors predicting gangrenous change in childhood intussuscetion.
Journal of the Korean Surgical Society 1992;42(4):547-553
No abstract available.
Risk Factors*
7.Transcription Factors.
Journal of Korean Society of Endocrinology 1999;14(4):620-626
No abstract available.
Transcription Factors*
8.Coexisting carcinoma in endometrial hyperplasia: does more risk factor mean better discrimination?.
Journal of Gynecologic Oncology 2013;24(1):1-2
No abstract available.
Risk Factors
9.Perioperative Cardiac Risk Factors.
Korean Journal of Anesthesiology 1989;22(2):174-178
No abstract available.
Risk Factors*
10.N-terminal Pro-B-type Natriuretic Peptide as a Predictive Risk Factor in Fontan Operation.
Gi Young JANG ; Jae Young LEE ; Soo Jin KIM ; Woo Sup SHIM
Korean Journal of Pediatrics 2005;48(12):1362-1369
PURPOSE: This study aimed to investigate the correlation between the plasma level of N-terminal pro-B-type natriuretic peptide (pro-BNP) and several known risk factors influencing outcomes after Fontan operations, and to assess whether pro-BNP levels can be used as predictive risk factors in Fontan operations. METHODS: Plasma pro-BNP concentrations were measured in 35 patients with complex cardiac anomalies before catheterization. Cardiac catheterization was performed in all subjects. Mean right atrium pressure, mean pulmonary artery pressure (PAP), and ventricular end-diastolic pressure (EDP) were obtained. Cardiac output and pulmonary vascular resistance were calculated by Fick method. RESULTS: Plasma pro-BNP levels exhibited statistically significant positive correlations with mean PAP (r=0.70, P< 0.001), pulmonary vascular resistance (r=0.57, P< 0.001), RVEDP (r=0.63, P< 0.001), LVEDP (r=0.74, P< 0.001), and cardiothoracic ratio (r=0.71, P< 0.001). The area under the ROC curve using pro-BNP level to differentiate risk groups in Fontan operations was high: 0.868 (95 percent CI, 0.712-1.023, P< 0.01). The cutoff value of pro-BNP concentrations for the detection of risk groups in Fontan operations was determined to be 332.4 pg/mL (sensitivity 83.3 percent, specificity 82.7 percent). CONCLUSION: These data suggest that plasma pro-BNP levels may be used as a predictive risk factor in Fontan operations, and as a guide to determine the mode of therapy during follow-up after Fontan operations.
Risk Factors