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1.
Rev Med Chil ; 139(1): 11-8, 2011 Jan.
Article in Spanish | MEDLINE | ID: mdl-21526312

ABSTRACT

BACKGROUND: Simultaneous kidney and pancreas transplantation (SKPT) is the best alternative for end stage renal disease among patients with insulin dependent diabetes mellitus. AIM: To report our experience with SKPT. MATERIAL AND METHODS: Retrospective analysis of 12 recipients of SKPT transplanted in one center starting in 1994, with a mean follow-up period of 6.8 years (2-15). RESULTS: Eleven of 12 recipients were in chronic hemodialysis before SKPT. Mean A, B, DR and HLA mismatch was 4.3. Mean preformed anti HLA antibodies was 3.3 %. Mean cold ischemia times for pancreas and kidney were 6 and 10 hours, respectively. In the first eight cases, the pancreas was drained to the bladder, and in the last four, an enteric drainage was performed. Eleven recipients were induced with antibodies, and maintenance immunosuppression consisted of cyclosporin or tacrolimus plus an antiproliferative agent. Ten year patient survival was 70%. Pancreas and kidney survival, defined by insulin and dialysis independence, were 72 and 73% respectively. Fifty percent of recipients experienced acute graft rejection (cellular or humoral), with good response to treatment except in one case. CONCLUSIONS: This experience shows that SKPT is associated with an excellent patient survival associated to insulin and dialysis independence in 70% of patients at 10 years.


Subject(s)
Diabetes Mellitus, Type 1/surgery , Kidney Failure, Chronic/surgery , Kidney Transplantation/mortality , Pancreas Transplantation/mortality , Adult , Chile , Diabetes Mellitus, Type 1/physiopathology , Epidemiologic Methods , Female , Humans , Kidney Failure, Chronic/physiopathology , Kidney Transplantation/adverse effects , Male , Middle Aged , Pancreas Transplantation/adverse effects , Treatment Outcome
2.
Rev. méd. Chile ; 139(1): 11-18, ene. 2011. ilus
Article in Spanish | LILACS | ID: lil-595260

ABSTRACT

Background: Simultaneous kidney and páncreas transplantation (SKPT) is the best alternative for end stage renal disease among patients with insulin dependent diabetes mellitus. Aim: To report our experience with SKPT. Material andMethods: Retrospective analysis ofl2 recipients of SKPT transplanted in one center starting in 1994, with a meanfollow-upperiod of6.8years (2-15). Results: Eleven ofl2 recipients were in chronic hemodialysis before SKPT. Mean A, B, DR and HLA mismatch was 4.3. Mean preformed anti HLA antibodies was 3.3 percent. Mean cold ischemia times for páncreas and kidney were 6 and 10 hours, respectively. In the first eight cases, the páncreas was drained to the bladder, and in the last four, an enteric drainage was performed. Eleven recipients were induced with antibodies, and maintenance immunosuppression consisted ofCyclosporine or Tacrolimusplus an antiproliferative agent. Ten year patient survival was 70 percent. Páncreas and kidney survival, defined by insulin and dialysis independence, were 72 and 73 percent respectively. Fifty percent of recipients experienced acute graft rejection (cellular or humoral), with good response to treatment except in one case. Conclusions: This experience shows that SKPT is associated with an excellent patient survival associated to insulin and dialysis independence in 70 percent of patients at 10 years.


Subject(s)
Adult , Female , Humans , Male , Middle Aged , Diabetes Mellitus, Type 1/surgery , Kidney Failure, Chronic/surgery , Kidney Transplantation/mortality , Pancreas Transplantation/mortality , Chile , Diabetes Mellitus, Type 1/physiopathology , Epidemiologic Methods , Kidney Failure, Chronic/physiopathology , Kidney Transplantation/adverse effects , Pancreas Transplantation/adverse effects , Treatment Outcome
3.
Ther Drug Monit ; 25(3): 389-92, 2003 Jun.
Article in English | MEDLINE | ID: mdl-12766570

ABSTRACT

C(2) Cyclosporine (CsA) level, as a surrogate of area under the time-concentration curve (AUC) 0-4 hours, is a good predictor of drug absorption and clinical outcome after kidney transplantation. It has been difficult to define the optimal C(2) level in the individual case and given the broad range of C(2) due to interindividual absorption variability it has been troublesome to determine the drug dose needed to obtain an expected C(2)-CsA concentration. In this study data of 16 stable renal and renal/pancreas recipients treated with prednisone, azathioprine, and CsA (Neoral) managed by C(0) level was examined. CsA concentrations at time 0 (basal), 2, 6, and 12 hours post CsA (Neoral) intake were determined the day of the study. A significant linear regression level was established between C(2) (but not C(0), C(6) and C(12)) and the dosage expressed as mg/kg/d (P = 0.0113, correlation coefficient r = 0.573018). Subsequently, another 27 renal transplant recipients were studied retrospectively and divided into three groups according to posttransplant period: 1 to 6, 7 to 12, and beyond 12 months after transplant. Equations derived from the relationship between C(2) and dose (mg/kg/d) were similar between the three groups and when compared with the first study. A formula obtained from the 27 patients in the whole posttransplant period (mg/kg/d = C(2) x 0.0010208 + 1.86125) was applied to patients of the first study obtaining a regression coefficient between actual and calculated CsA dose of 0.6145 (P = 0.01). A more accurate equation (P = 0.0001, r = 0.5925) was obtained by analyzing 145 C(2) determinations covering a period from 1 month to 8 years following transplant which gave a linear regression line defined by the equation C(2) x 0.001473 + 1.6673. This equation would permit the calculation mg/kg/d of CsA (Neoral) dose to obtain an expected C(2) level. The derived equation shown in this paper has a predictive value of 50% to 60% only, but can help to find adequate dosage in the presence of an inappropriate C(2) level.


Subject(s)
Cyclosporine/administration & dosage , Cyclosporine/blood , Adolescent , Adult , Aged , Drug Monitoring/methods , Female , Humans , Kidney Transplantation , Linear Models , Male , Middle Aged , Retrospective Studies , Time Factors
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