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Frequency, Characteristics, and Predictive Factors of Adverse Drug Events in an Adult Emergency Department according to Age: A Cross-Sectional Study. | LitMetric

AI Article Synopsis

  • * Data from 13,653 patients in a university hospital emergency department revealed that a higher percentage of older adults (22.6%) experienced ADEs compared to younger adults (18.4%).
  • * Different types of ADEs were noted: younger patients had more issues due to medication noncompliance, while older patients experienced more bleeding; specific predictive factors for each age group were also identified for better ADE detection.

Article Abstract

Adverse drug events (ADEs) are a major public health concern, given their consequences in terms of morbi-mortality and associated healthcare costs. Many studies have focused on the elderly, who are considered particularly vulnerable in this respect. We aimed to determine and compare the frequency, characteristics, and predictive factors of ADEs according to age in an adult population. A prospective seven-year cross-sectional study was conducted in a university hospital emergency department. Structured medication reviews and ADE detection were performed. Patient data and ADE characteristics were collected. Descriptive statistics and logistic regression were performed in two age groups: Group 1 (age < 65 years) and 2 (age ≥ 65 years). Among the 13,653 patients included, 18.4% in Group 1 and 22.6% in Group 2 experienced an ADE. Differences were identified in terms of the ADE type (more ADEs due to noncompliance in Group 1) and ADE symptoms (greater bleeding in Group 2). In the multivariable analysis, several specific predictive factors were identified, including kidney failure and antidiabetic drug use in Group 1 and inappropriate prescription and antithrombotic treatment in Group 2. Analysis by age provided a more refined vision of ADEs as we identified distinct profiles of iatrogenesis. These results will lead to a better detection of ADEs.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9572040PMC
http://dx.doi.org/10.3390/jcm11195731DOI Listing

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