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An automated database case definition for serious bleeding related to oral anticoagulant use

Andrew Cunningham1, C Michael Stein, Cecilia P Chung

  • 1Division of Clinical Pharmacology, Department of Medicine, Nashville, TN, USA.

Pharmacoepidemiology and Drug Safety
|March 10, 2011
PubMed

Insights

An automated database case definition accurately identified bleeding-related hospitalizations. This tool achieved high positive predictive value (89-99%) and could specify bleeding anatomical sites for epidemiologic studies.

Area of Science:

  • Pharmacovigilance
  • Health Informatics
  • Epidemiology

Background:

  • Bleeding complications are a significant risk associated with anticoagulant medications.
  • Accurate identification of bleeding events is crucial for epidemiological research.

Purpose of the Study:

  • To develop and validate an automated database case definition for bleeding-related hospitalizations.
  • To facilitate large-scale epidemiologic investigations of adverse bleeding events.

Main Methods:

  • A retrospective cohort study of warfarin-related bleeding in Tennessee Medicaid enrollees (1990-2005).
  • Developed an automated definition using inpatient diagnoses and procedures indicative of bleeding.
  • Validated the definition through medical record review of 236 hospitalizations.

Main Results:

  • The automated definition demonstrated a high positive predictive value (PPV) of 89% for bleeding-related hospitalizations.
  • Clinical confirmation of bleeding was achieved in 89% of cases.
  • The definition accurately identified specific anatomical sites of bleeding with 99% concordance (e.g., gastrointestinal, cerebral, genitourinary).

Conclusions:

  • An automated database case definition for bleeding-related hospitalizations is effective and reliable.
  • The developed definition has a high PPV (89-99%) and can accurately distinguish bleeding sites.
  • This tool supports efficient and accurate epidemiologic research on bleeding complications.
Abstract

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