Peritransplant kidney biopsies: comparison of pathologic interpretations and practice patterns of organ procurement organizations

Clin Transplant. 2012 May-Jun;26(3):E191-9. doi: 10.1111/j.1399-0012.2011.01584.x. Epub 2012 Jan 29.

Abstract

The preimplantation kidney biopsy affects utilization by diagnosing glomerulosclerosis, interstitial fibrosis (IF), arteriosclerosis, and arteriolar hyalinosis. Organ procurement organizations (OPOs) determine whether a donor warrants this biopsy and the donor hospital pathologists (DHPs) report on an OPO-specific pathology interpretation form. Biopsy slides from 40 deceased donor kidneys transplanted at our institution were used to compare interpretations between our transplant pathologist and the DHPs. Thirty-three of these kidneys also had post-perfusion biopsies (PPB). All 58 OPOs were queried for criteria used to request a preimplantation biopsy, and their pathology interpretation forms were also analyzed. The transplant and DHPs had substantial agreement for percent glomerulosclerosis with 75% of biopsies being interpreted within five percentage points. Concordance for IF was poor. The DHP rarely reported arterial pathology. Seventy percent of preimplantation and PPB were read similarly for glomerulosclerosis; concordance for other lesions was weaker. There were no cues for arterial disease on our OPO's pathology interpretation form. Criteria for obtaining a preimplantation biopsy lacked uniformity for the 21 OPOs with a self-generated policy. The pathology interpretation forms varied widely among the OPOs. Current OPO practices with regard to the preimplantation biopsy should be improved.

MeSH terms

  • Female
  • Humans
  • Kidney / pathology*
  • Kidney / surgery*
  • Kidney Diseases / diagnosis*
  • Male
  • Middle Aged
  • Organ Transplantation / standards*
  • Practice Patterns, Physicians'*
  • Tissue Donors
  • Tissue and Organ Procurement / organization & administration
  • Tissue and Organ Procurement / standards*
  • Tissue and Organ Procurement / statistics & numerical data
  • Vascular Diseases / diagnosis*