Evaluation of Triple Whammy Prescriptions After the Implementation of a Drug Safety Algorithm

Autor: Hendrike Dahmke, Jana Schelshorn, Rico Fiumefreddo, Philipp Schuetz, Ali Reza Salili, Francisco Cabrera-Diaz, Carla Meyer-Massetti, Claudia Zaugg
Jazyk: angličtina
Rok vydání: 2024
Předmět:
Zdroj: Drugs - Real World Outcomes, Vol 11, Iss 1, Pp 125-135 (2024)
Druh dokumentu: article
ISSN: 2199-1154
2198-9788
DOI: 10.1007/s40801-023-00405-y
Popis: Abstract Background and Objective The term triple whammy (TW) refers to the concomitant use of non-steroidal anti-inflammatory drugs, diuretics, and angiotensin system inhibitors; this combination significantly increases the risk of acute kidney injury (AKI). To prevent this serious complication, we developed an electronic algorithm that detects TW prescriptions in patients with additional risk factors such as old age and impaired kidney function. The algorithm alerts a clinical pharmacist who then evaluates and forwards the alert to the prescribing physician. Methods We evaluated the performance of this algorithm in a retrospective observational study of clinical data from all adult patients admitted to the Cantonal Hospital of Aarau in Switzerland in 2021. We identified all patients who received a TW prescription, had a TW alert, or developed AKI during TW therapy. Algorithm performance was evaluated by calculating the sensitivity and specificity as a primary endpoint and determining the acceptance rate among clinical pharmacists and physicians as a secondary endpoint. Results Among 21,332 hospitalized patients, 290 patients had a TW prescription, of which 12 patients experienced AKI. Overall, 216 patients were detected by the alert algorithm, including 11 of 12 patients with AKI; the algorithm sensitivity is 88.3% with a specificity of 99.7%. Physician acceptance was high (77.7%), but clinical pharmacists were reluctant to forward the alerts to prescribers in some cases. Conclusion The TW algorithm is highly sensitive and specific in identifying patients with TW therapy at risk for AKI. The algorithm may help to prevent AKI in TW patients in the future.
Databáze: Directory of Open Access Journals
Externí odkaz: