Macrophage index predicts short-term renal allograft function and graft survival

Titte R Srinivas1, Paul S Kubilis, Byron P Croker

  • 1Division of Nephrology, University of Florida, Gainesville, Florida, USA.

Insights

Quantifying macrophages in kidney transplant biopsies can predict early dysfunction and long-term graft survival. A higher macrophage index (MI) in biopsies indicates a greater risk of transplant complications.

Area of Science:

  • Nephrology
  • Transplantation Immunology
  • Pathology

Background:

  • Kidney allograft dysfunction and graft survival are critical concerns in transplantation.
  • Accurate prediction of short-term dysfunction and long-term graft survival is essential for patient management.

Purpose of the Study:

  • To evaluate the ability of macrophage infiltration in renal allograft biopsies to predict short-term dysfunction and long-term graft survival.
  • To quantify the impact of the macrophage index (MI) on serum creatinine (SCr) levels and graft survival post-biopsy.

Main Methods:

  • Renal allograft biopsies from 41 patients were analyzed for macrophage infiltration using a modified Banff score of inflammation (BSI).
  • Macrophage index (MI), BSI, and chronic allograft damage index (CADI) were calculated.
  • Multivariate analysis and Cox regression were used to assess the impact of pathological indices on SCr and graft survival.

Main Results:

  • Glomerular and interstitial macrophage scores showed an inverse correlation with graft survival.
  • The macrophage index (MI) predicted an increase in serum creatinine (SCr) at 3 months post-biopsy (P=0.02).
  • An MI >3 was associated with a significantly higher risk of graft loss (hazard ratio 23.13, P=0.003).

Conclusions:

  • Macrophage infiltration in renal allograft biopsies is a valuable predictor of both short-term dysfunction and long-term graft survival.
  • The macrophage index (MI) serves as a powerful prognostic marker in kidney transplantation.
  • Quantification of macrophage infiltrate offers a potential tool for risk stratification and personalized patient management.