P.180: Results of CDC-XM and FCXM cross-match in highly sensitized patients with CKD.
Bibliographic record
Abstract
A compatibility test is a necessary test that is performed before kidney transplantation to confirm the compatibility of the donor and recipient to prevent acute antibody-mediated rejection. CDC-XM may be false-positive in recipients with an autoimmune disease or in patients who have previously been treated with desensitization protocols such as rituximab, antithymocyte globulin, or intravenous immunoglobulins. Our aim was to examine the outcome of FCXM in highly sensitized CKD patients with positive CDC-XM. 5 patients with a high percentage of antibodies were studied and one patient with a negative HLA antibody status was taken as a control and received desensitizing therapy with a single administration of rituximab at a dose of 375 mg per body area. Antibodies were determined using Luminex technology (Luminex Corp., USA) and the SAB (single antigen bead) method (OneLambda, USA). SAB analysis, CDC-XM and FCXM were performed before and after rituximab therapy. For XM analyses, lymphocytes were isolated on a density gradient using negative selection cell isolation technology using RosetteSep kits (StemCell technologies, Canada). FCXM was supplied with FlowDSA-XM™ reagents (OneLambda, USA). SAB results before rituximab therapy were positive for class I and class II antibodies and ranged from 3 to 91%. The result after therapy showed a decrease in the percentage of antibodies of both classes and ranged from 0 to 60%. The results of the reaction of FCXM with serum obtained before and after rituximab therapy do not differ significantly. All results of the FCXM reaction are the same before and after trepapium, except for one patient in whom the cross-match with B cells was weakly positive before therapy, and showed a negative result after therapy. This is associated with a decrease in MFI levels of donor-specific antibodies DRB11 from 4901 to 1466 after receiving rituximab. There is a big difference from the results of CDC-XM with FCXM delivered with B cells. FCXM for the second class showed a negative result in all cases, while in CDC-XM a positive result was seen in all cases with an intensity of +4 to +8. It is assumed that the presence of rituximab in the serum did not affect the result of FCXM and therefore this type of analysis may be optimal for use in patients who received rituximab therapy without waiting for the drug to be eliminated from the body. Conversely, the CDC-XM assay should not be used in patients receiving rituximab and should only be administered after a drug washout time has been observed. The results obtained are intermediate; due to the insufficient number of observations, these studies will continue. In addition, in the future, the use of anti-rituximab monoclonal antibodies (Anti-Rituximab Antibody) is envisaged to inhibit rituximab in the patient’s serum before cross-match testing.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".