Detection of renal allograft rejection by computer.

Journal Article (Journal Article)

A computer program incorporating an adaptation of a statistical method, the multiprocess Kalman filter, was used to detect changes in trends of plasma creatinine and urea concentrations. In 28 recipients of renal allografts a definite deterioration in renal function was identified retrospectively on 32 occasions by an experienced renal physician independently of the statistical analysis. The computer identified 31 of these 32 episodes using creatinine and urea results, and 29 using creatinine alone. Dysfunction was identified by the computer significantly earlier (p less than 0.05) than by the clinician and a median of one day earlier (p less than 0.02) than treatment was actually initiated. The computer identified dysfunction on 11 out of 1259 days when the clinician did not suspect rejection. These 11 episodes may have had a pathological importance, though no clinical diagnosis was made. This computer method is useful for immediate analysis of incoming results and for timing events either prospectively or retrospectively.

Full Text

Duke Authors

Cited Authors

  • Trimble, IM; West, M; Knapp, MS; Pownall, R; Smith, AF

Published Date

  • May 1, 1983

Published In

Volume / Issue

  • 286 / 6379

Start / End Page

  • 1695 - 1699

PubMed ID

  • 6405938

Pubmed Central ID

  • PMC1548194

International Standard Serial Number (ISSN)

  • 0267-0623

Digital Object Identifier (DOI)

  • 10.1136/bmj.286.6379.1695


  • eng