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Measurement of Antibody Effects on Cellular Function of Isolated Cardiomyocytes
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Measurement of Antibody Effects on Cellular Function of Isolated Cardiomyocytes

Published on: March 8, 2013

Antibody testing for cardiac antibody-mediated rejection: which panel correlates best with cardiovascular death?

Monica P Revelo1, Josef Stehlik, Dylan Miller

  • 1George E Wahlen Veterans Affairs Medical Center, Utah Transplantation Affiliated Hospitals, Salt Lake City, Utah, USA.

The Journal of Heart and Lung Transplantation : the Official Publication of the International Society for Heart Transplantation
|September 22, 2010
PubMed

Insights

Updated heart transplant rejection criteria are needed. A six-antibody model including C3d, C4d, HLA-DR, fibrin, IgG, and IgM best predicts cardiovascular mortality in antibody-mediated rejection (AMR).

Area of Science:

  • Cardiology
  • Transplantation Immunology
  • Pathology

Background:

  • Current diagnostic criteria for antibody-mediated rejection (AMR) in heart transplantation require refinement.
  • Identifying biomarkers that predict adverse outcomes, specifically cardiovascular mortality, is crucial for managing AMR.
  • This study aimed to identify the most effective panel of reactants for diagnosing AMR and predicting patient prognosis.

Purpose of the Study:

  • To evaluate different combinations of immunofluorescence antibodies as predictors of cardiovascular mortality in heart transplant recipients with pathologically defined AMR.
  • To determine the optimal model for diagnosing AMR that best correlates with adverse cardiovascular events.

Main Methods:

  • Analysis of 3,712 biopsy specimens from 422 heart transplant patients who underwent testing for immunofluorescence antibodies, including C4d, after 2002.
  • Utilized three Cox proportional hazard models with time-varying covariates to assess cardiovascular mortality as the primary endpoint.
  • Compared models using varying numbers and types of antibodies, including C3d, C4d, human leukocyte antigen-D related (HLA-DR), fibrin, immunoglobulin (Ig) G, and IgM.

Main Results:

  • A model using only C3d and C4d antibodies achieved an R(2) of 0.930.
  • A four-antibody model (C3d, C4d, HLA-DR, fibrin) demonstrated superior predictive value (R(2) = 0.988).
  • The most accurate model incorporated all six antibodies (HLA-DR, IgG, IgM, C3d, C4d, fibrin), achieving an R(2) of 0.989 and significantly outperforming models with fewer antibodies (p < 0.0001).

Conclusions:

  • The combination of complement components (C3d, C4d), HLA-DR, and fibrin is valuable for defining AMR and identifying patients at risk of allograft loss.
  • Fibrin is a key marker for detecting severe AMR, strongly associated with poor long-term patient outcomes.
  • These findings support refining AMR diagnostic criteria using a comprehensive panel of antibodies to improve patient prognosis.
Abstract

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