Predictors of potential drug interactions

Rick A. Weideman, W. Paul McKinney, Ira H. Bernstein

Research output: Contribution to journalReview articlepeer-review

15 Scopus citations


The computerized records of 500 patients seen in a Veterans Administration internal medicine clinic were screened for drug interactions as predicted by a computerized expert system. Using logistic regression modeling, the frequency of at least one predicted interaction was 50% for persons receiving at least 4 drugs and exceeded 90% for those receiving at least 8 drugs. Other predictive factors include older age and the use of captopril, cimetidine, digoxin, glipizide, or theophylline. The authors conclude that patients, especially those known to be at increased risk, should be carefully screened for potential drug interactions.

Original languageEnglish (US)
Pages (from-to)835-840
Number of pages6
JournalHospital Pharmacy
Issue number7
StatePublished - Jul 1998


  • Aging
  • Ambulatory care
  • Drug interactions
  • Epidemiology
  • Expert systems
  • Probability

ASJC Scopus subject areas

  • Pharmacy
  • Pharmacology
  • Pharmacology (medical)


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