Big data in organ transplantation: Registries and administrative claims

A. B. Massie, L. M. Kuricka, D. L. Segev

Research output: Contribution to journalReview articlepeer-review

Abstract

The field of organ transplantation benefits from large, comprehensive, transplant-specific national data sets available to researchers. In addition to the widely used Organ Procurement and Transplantation Network (OPTN)-based registries (the United Network for Organ Sharing and Scientific Registry of Transplant Recipients data sets) and United States Renal Data System (USRDS) data sets, there are other publicly available national data sets, not specific to transplantation, which have historically been underutilized in the field of transplantation. Of particular interest are the Nationwide Inpatient Sample and State Inpatient Databases, produced by the Agency for Healthcare Research and Quality. The USRDS database provides extensive data relevant to studies of kidney transplantation. Linkage of publicly available data sets to external data sources such as private claims or pharmacy data provides further resources for registry-based research. Although these resources can transcend some limitations of OPTN-based registry data, they come with their own limitations, which must be understood to avoid biased inference. This review discusses different registry-based data sources available in the United States, as well as the proper design and conduct of registry-based research. This review discusses large national datasets that have been used to address research questions in organ transplantation, with a description of available datasets and consideration of proper study design.

Original languageEnglish (US)
Pages (from-to)1723-1730
Number of pages8
JournalAmerican Journal of Transplantation
Volume14
Issue number8
DOIs
StatePublished - Aug 2014

Keywords

  • NIS
  • SRTR
  • UNOS
  • registry-based studies
  • retrospective studies

ASJC Scopus subject areas

  • Immunology and Allergy
  • Transplantation
  • Pharmacology (medical)

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