Is age an independent risk factor of adverse drug reactions in hospitalized medical patients?

J Am Geriatr Soc. 1991 Nov;39(11):1093-9. doi: 10.1111/j.1532-5415.1991.tb02875.x.

Abstract

Objective: To study the incidence and the risk factors of adverse drug reactions.

Design: Multicenter survey.

Setting: Hospitalized care: 22 internal medicine and 19 geriatric wards.

Patients: All patients (n = 9,148) consecutively admitted during two observation periods of 2 months.

Main outcome measure: Incidence of adverse drug reactions.

Results: The mean age was 67.1 +/- 0.17 years (median 72); the mean duration of hospital stay was 18.1 +/- 0.19 days (median 14). Each patient was administered 5.1 +/- 0.03 (median 5) drug prescriptions. The incidence of probable or definite adverse drug reactions was 5.8% (532/9,148). In univariate analysis, the incidence of adverse drug reactions increased from 3.3% at under age 50 to 6.5% at age 70-79 and decreased over age 80 (5.8%). In multivariate logistic regression, taking more than four drugs (OR = 2.94, CI = 2.38-3.62), staying in hospital more than 14 days (OR = 2.82, CI = 2.26-3.52), having more than 4 active medical problems (OR = 1.78, CI = 1.29-2.45), staying in a medical ward instead of geriatric ward (OR = 1.33, CI = 1.09-1.63), and drinking alcohol (OR = 1.28, CI = 1.03-1.58) were positively correlated with adverse drug reactions occurrence (P less than 0.05). Age, gender, and smoking cigarettes were not significant predictors of adverse drug reactions.

Conclusion: Age is not an independent risk factor of adverse drug reactions, and good geriatric care can reduce the incidence of adverse drug reactions.

Publication types

  • Clinical Trial
  • Multicenter Study
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Age Factors
  • Aged
  • Aged, 80 and over
  • Data Collection
  • Drug-Related Side Effects and Adverse Reactions*
  • Female
  • Hospitalization / statistics & numerical data*
  • Humans
  • Incidence
  • Italy / epidemiology
  • Length of Stay / statistics & numerical data
  • Male
  • Middle Aged
  • Prospective Studies
  • Regression Analysis
  • Risk Factors