Banff-based histologic chronicity index is associated with graft failure but has poor interobserver reproducibility

Wei-Chou Lin1, Mei-Chin Wen2, Yong-Chen Hsu3

  • 1Department of Pathology, National Taiwan University Hospital, Taipei, Taiwan.

PubMed

Insights

The proposed simplified histologic chronicity index (CI) for antibody-mediated rejection (AMR) shows poor interobserver reproducibility, limiting its use as a reliable prognostic tool for kidney allograft failure.

Area of Science:

  • Nephrology
  • Transplantation Immunology
  • Pathology

Background:

  • Antibody-mediated rejection (AMR) is a primary cause of chronic kidney allograft damage and failure.
  • The Banff classification for AMR diagnosis is complex.
  • A simplified Banff-based histologic chronicity index (CI) was proposed but lacks external validation.

Purpose of the Study:

  • To assess the interobserver reproducibility of the proposed CI and its components in kidney allograft biopsies.
  • To evaluate the association between CI and kidney allograft failure.
  • To determine the reliability of proposed CI cut-off values for predicting allograft outcomes.

Main Methods:

  • Analysis of 71 kidney allograft biopsies diagnosed with AMR.
  • Assessment of interobserver agreement for CI and its components (cg, cv, ct, ci).
  • Cox regression and Kaplan-Meier analysis to evaluate CI's association with allograft failure and test cut-off values.

Main Results:

  • The CI was associated with allograft failure, but its assessment showed significant variability among pathologists.
  • Complete agreement on the proposed CI cut-off (<4 vs. ≥4) was achieved in only 69.0% of biopsies.
  • The cg score, a key component of CI, exhibited the lowest interobserver agreement (kappa = 0.281), and the cut-off did not reliably stratify failure risk.

Conclusions:

  • The proposed CI has limitations due to poor interobserver reproducibility, impacting its utility as a prognostic tool for AMR.
  • Clinicians should exercise caution when interpreting CI and may need to establish personalized cut-off values.
  • Further work is required to improve interobserver reproducibility before widespread adoption of CI for AMR management.
Abstract

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