Reliability and predictive value of the National Institute of Diabetes and Digestive and Kidney Diseases Liver Transplantation Database nomenclature and grading system for cellular rejection of liver allografts

Hepatology. 1995 Feb;21(2):408-16.

Abstract

Pathologists participating in the National Institute of Diabetes and Digestive and Kidney Diseases Liver Transplant Database (LTD) created a histopathological grading system for acute liver allograft rejection, and tested it first for inter- and intra-rater reliability among a group of five pathologists experienced in liver and transplantation pathology. Specimens from post-transplantation biopsies from 48 patients with rejection, hepatitis, or other diagnosis(es) were reviewed. There was moderate to good (kappa = 0.40 to 0.55) inter-rater and good (kappa = 0.55 to 0.58) intrarater agreement for the diagnosis and exact grading of mild, moderate, or severe acute rejection, which improved when a short clinical history was provided. Thus, the scheme was reproducible, and few of the disagreements among the pathologists would have affected treatment decisions. Secondly, the ability of the grading system to predict an unfavorable short- or long-term outcome from the initial histopathological diagnosis of cellular rejection was tested on groups of 168 and 133 patients, respectively, from the three LTD clinical centers, who were followed up for at least 6 months after the first onset of rejection. This analysis showed that a higher histopathological grade of acute rejection on first biopsy diagnosis was significantly associated (P < or = .006) with both an unfavorable short-term outcome, defined by failure of the episode to resolve within 21 days or the need for aggressive immunosuppressive treatment, and a long-term outcome defined by death or retransplantation from rejection within 6 months of onset. Lastly, an analysis was performed to determine whether subjective rejection grading by the pathologist or certain "objective" histopathological features identified by logistic regression modeling were more accurate in predicting an unfavorable outcome.(ABSTRACT TRUNCATED AT 250 WORDS)

Publication types

  • Clinical Trial
  • Multicenter Study

MeSH terms

  • Databases, Factual*
  • Follow-Up Studies
  • Graft Rejection / pathology*
  • Humans
  • Liver Transplantation / pathology*
  • Logistic Models
  • National Institutes of Health (U.S.)
  • Observer Variation
  • Predictive Value of Tests
  • Prognosis
  • Reproducibility of Results
  • Sensitivity and Specificity
  • Terminology as Topic*
  • United States