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Background and Importance Adverse drug events (ADEs) are a frequent cause of visits to emergency departments (EDs). The utilisation of tools designed to enhance detection of ADE, represents a valuable strategy for prioritising interventions aimed at optimising pharmacotherapy and preventing further visits due to ADEs.Aim and Objectives To evaluate the utility of a tool based on localisation of trigger diagnoses related to ADE in order to detect these events in patients attending the ED.Material and Methods A prospective, observational, descriptive study was conducted including all patients attended in the ED and reviewed by the emergency pharmacist according to institutional protocols between June and September 2025.Trigger diagnoses were obtained from the ICD-10 diagnosis list. The selection was based on prior associations between these diagnoses and ADEs that were described in scientific literature1: glycaemic decompensation, electrolyte disorders (hyponatraemia, hyperkalaemia, hypokalaemia), hypertensive crisis, hypotension, bradycardia, constipation, seizures, and gastrointestinal bleeding. It was required that they be recorded as either primary or secondary diagnoses in the ED episode. The confirmation of ADEs was based on ED discharge reports.The efficacy of the tool to detect ADEs was determined by calculating the positive and negative predictive values (PPV, NPV). Statistical analysis was performed using the Chi-square test, considering p<0.05 statistically significant. Data were analysed using SPSS version 24.Results Our study included 1012 patients (52.5% male; mean age 72.7 ± 17.7 years). The prevalence of ADEs was 6.5%.Of the total number of patients, 118 were classified with a trigger diagnoses, the 28% of them had an ADE. In contrast, among the rest of patients (894), ADEs were identified in 3.7%.Patients identified by the tool had a significantly higher probability of presenting an ADE (OR =10.13; 95% CI 5.95–17.24; p<0.001). The tool demonstrated a PPV of 28% and an NPV of 96%.Conclusion and Relevance The implementation of a trigger diagnosis detection tool in the ED allows more effective detection of ADE-related visits, with a high negative predictive value. This approach could enable early identification of patient with ADE in high-pressure care environments such as emergency services.References and/or Acknowledgements 1. PMID:36934016Conflict of Interest No conflict of interest