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1.
Kidney Int ; 83(6): 1185-92, 2013 Jun.
Article in English | MEDLINE | ID: mdl-23447068

ABSTRACT

In order to define the intensity of immunosuppression, we examined risk factors for acute rejection in desensitization protocols that use baseline donor-specific antibody levels measured as mean fluorescence intensity (MFImax). The study included 146 patients transplanted with a negative flow crossmatch and a mean follow-up of 18 months with the majority (83%) followed for at least 1 year. At the time of transplant, mean-calculated panel-reactive antibody and MFImax ranged from 10.3-57.2% and 262-1691, respectively, between low- and high-risk protocols. Mean MFImax increased significantly from transplant to 1 week and 1 year. The incidence of acute rejection (mean 1.65 months) as a combination of clinical and subclinical rejection was 32%, including 14% cellular, 12% antibody-mediated, and 6% mixed rejection. In regression analyses, only C4d staining in post-reperfusion biopsies (hazard ratio 3.3, confidence interval 1.71-6.45) and increased specific antibodies at 1-week post transplant were significant predictors of rejection. A rise in MFImax by 500 was associated with a 2.8-fold risk of rejection. Thus, C4d staining in post-reperfusion biopsies and an early rise in donor specific antibodies after transplantation are risk factors for rejection in moderately sensitized patients.


Subject(s)
Complement C4b/metabolism , Graft Rejection/immunology , Histocompatibility , Isoantibodies/blood , Kidney Transplantation/adverse effects , Kidney/immunology , Peptide Fragments/metabolism , Tissue Donors , Acute Disease , Adult , Biomarkers/metabolism , Biopsy , Chi-Square Distribution , Female , Graft Rejection/pathology , Graft Rejection/physiopathology , Graft Rejection/prevention & control , Histocompatibility Testing , Humans , Immunosuppressive Agents/therapeutic use , Kaplan-Meier Estimate , Kidney/drug effects , Kidney/pathology , Kidney/physiopathology , Male , Middle Aged , Multivariate Analysis , Predictive Value of Tests , Proportional Hazards Models , Risk Factors , Time Factors , Treatment Outcome , Up-Regulation
2.
Clin Transpl ; : 389-94, 2011.
Article in English | MEDLINE | ID: mdl-22755436

ABSTRACT

We examined whether changes in posttransplant highest intensity donor specific anti-HLA antibody specificity (DSAmax) measured by single antigen bead via Luminex (One Lambda, Inc.) were associated with antibody-mediated rejection (AMR). We conducted a retrospective analysis examining risk factors for AMR in 116 consecutive patients who underwent desensitization between 1/1/2009 and 9/1/2010. All patients had a negative flow cytometry crossmatch. The mean patient age at transplant was 46.4 +/- 4 years. The mean peak PRA (panel reactive antibody) and DSAmax at transplant were 40 +/- 6% and 894 +/- 150 mean fluorescent intensity (MFI), respectively. The mean time to rejection was 1.5 +/- 0.4 months. Cox regression analyses demonstrated that an increase in DSAmax by one week after transplant was significantly associated with AMR (pure or mixed). A rise in DSAmax greater than 500 MFI at 1 week was associated with a 2.6 times greater risk of rejection (HR 2.6, 95% CI 1.1 - 6.3, p = 0.02). We conclude that a rise in DSAmax at one week is an independent risk factor forAMR and that posttransplant DSA monitoring strategies may reduce the risk of AMR in sensitized patients.


Subject(s)
Autoantibodies/blood , Graft Rejection/diagnosis , HLA Antigens/immunology , Histocompatibility , Kidney Transplantation/immunology , Monitoring, Immunologic , Adult , Biopsy , Desensitization, Immunologic , Female , Flow Cytometry , Graft Rejection/blood , Graft Rejection/immunology , Graft Rejection/prevention & control , Histocompatibility Testing , Humans , Immunosuppressive Agents/therapeutic use , Kaplan-Meier Estimate , Kidney Transplantation/adverse effects , Male , Middle Aged , Monitoring, Immunologic/methods , Multivariate Analysis , Predictive Value of Tests , Proportional Hazards Models , Retrospective Studies , Risk Assessment , Risk Factors , Time Factors , Treatment Outcome , Wisconsin
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