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Related Experiment Video

Updated: Feb 11, 2026

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Validation of Living Donor Nephrectomy Codes.

Ngan N Lam1, Krista L Lentine2, Scott Klarenbach1

  • 1Department of Medicine, Division of Nephrology, University of Alberta, Edmonton, Canada.

Canadian Journal of Kidney Health and Disease
|April 18, 2018
PubMed
Summary
This summary is machine-generated.

Administrative data can reliably identify living kidney donors using a specific algorithm. A combination of one diagnostic and one procedural code offers high accuracy for health services research at the population level.

Keywords:
administrative datahealth services researchliving kidney donationpositive predictive value

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Area of Science:

  • Nephrology
  • Transplant Surgery
  • Health Services Research

Background:

  • Increasing use of administrative data for outcomes assessment in living kidney donors.
  • Challenges with rare complications and loss to follow-up in living donor studies.
  • Need for validated methods to identify living donors in large datasets.

Purpose of the Study:

  • To assess the validity of identifying living donor nephrectomy in administrative databases.
  • Comparison against the gold standard of manual chart review.
  • Determine the accuracy of diagnostic and procedural codes for donor identification.

Main Methods:

  • Retrospective cohort study involving 1199 living donor nephrectomies from 5 Ontario transplant centers (2003-2010).
  • Administrative databases were used to identify potential living donors.
  • Manual chart review and verification through the province's organ procurement agency served as the reference standard.

Main Results:

  • An algorithm combining one diagnostic code (ICD-10 Z52.4) and one procedural code (1PC58, 1PC89, 1PC91) demonstrated high accuracy.
  • This algorithm achieved a sensitivity of 97% and a positive predictive value (PPV) of 90%.
  • Diagnostic and procedural codes outperformed physician billing codes (sensitivity 60%, PPV 78%).

Conclusions:

  • A validated algorithm using one diagnostic and one procedural code can reliably identify living kidney donors.
  • This method supports accurate population-level health services research on living kidney donors.
  • Findings from Ontario may not be generalizable to other regions due to study limitations.