Matej Dobravc Verbič, Miran Brvar, Mojca Kerec Kos
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引用次数: 1
Abstract
A non-interventional retrospective study in ambulatory patients was conducted at the emergency department of the Division of internal medicine. In 2 months, 266 suspected adverse drug reactions (ADRs) were identified in 224/3453 patients (6.5 %). In 158/3453 patients (4.6 %), an ADR was the reason for emergency department visit and in 49 patients (1.4 %), ADRs led to hospitalisation. A causality assessment algorithm was developed, which included Naranjo algorithm and levels of ADR recognition by the treating physician and the investigators. Using this algorithm, 63/266 ADRs (23.7 %) were classified as "certain", whereas using solely the Naranjo score calculation, only 19/266 ADRs (7.1 %) were assessed as "probable" or "certain", and the rest of ADRs (namely, 247/266 = 92.9 %) were assessed as "possible". There were 116/266 (43.6 %) ADRs related to potential drug-drug interactions (DDIs), stated in at least one of the literature sources used. Based on the causality relationship, the rate of the clinically expressed DDIs was 19.0 %, or 12/63 "certain" ADR cases. Of these, 10 cases presented serious DDI-related ADRs. In summary, ADR causality assessment based exclusively on Naranjo algorithm demonstrated low sensitivity at an ambulatory emergency setting. Additional clinical judgment, including the opinion of the treating physician, proved necessary to avoid under-rating of the causality relationship, and enabled the determination of clinically expressed DDIs.
期刊介绍:
AP is an international, multidisciplinary journal devoted to pharmaceutical and allied sciences and contains articles predominantly on core biomedical and health subjects. The aim of AP is to increase the impact of pharmaceutical research in academia, industry and laboratories. With strong emphasis on quality and originality, AP publishes reports from the discovery of a drug up to clinical practice. Topics covered are: analytics, biochemistry, biopharmaceutics, biotechnology, cell biology, cell cultures, clinical pharmacy, drug design, drug delivery, drug disposition, drug stability, gene technology, medicine (including diagnostics and therapy), medicinal chemistry, metabolism, molecular modeling, pharmacology (clinical and animal), peptide and protein chemistry, pharmacognosy, pharmacoepidemiology, pharmacoeconomics, pharmacodynamics and pharmacokinetics, protein design, radiopharmaceuticals, and toxicology.