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Using INTERCheck(®) to Evaluate the Incidence of Adverse Events and Drug–Drug Interactions in Out- and Inpatients Exposed to Polypharmacy

BACKGROUND: Polypharmacy exposes patients with comorbidities (particularly elderly patients) to an increased risk of drug-specific adverse events and drug–drug interactions. These adverse events could be avoided with the use of a computerized prescription support system in the primary care setting....

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Detalles Bibliográficos
Autores principales: Martocchia, Antonio, Spuntarelli, Valerio, Aiello, Francesco, Meccariello, Anna Laura, Proietta, Maria, Del Porto, Flavia, Di Rosa, Roberta, Salemi, Simonetta, Rocchietti March, Massimiliano, Laganà, Bruno, Martelletti, Paolo, Sesti, Giorgio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7392968/
https://www.ncbi.nlm.nih.gov/pubmed/32346839
http://dx.doi.org/10.1007/s40801-020-00193-9
Descripción
Sumario:BACKGROUND: Polypharmacy exposes patients with comorbidities (particularly elderly patients) to an increased risk of drug-specific adverse events and drug–drug interactions. These adverse events could be avoided with the use of a computerized prescription support system in the primary care setting. The INTERCheck(®) software is a prescription support system developed with the aim of balancing the risks and benefits of polytherapy and examining drug–drug interactions. OBJECTIVES: This observational study used the INTERCheck(®) software to evaluate the incidence of adverse events and of drug–drug interactions in outpatients and inpatients receiving multiple medications. METHODS: Patients were randomly enrolled from the outpatient department (n = 98) and internal medicine ward (n = 46) of S. Andrea Hospital of Rome. Polypharmacological treatment was analyzed using INTERCheck(®) software, and the prevalence of risk indicators and adverse events was compared between the two groups. RESULTS: Polypharmacy (use of five or more drugs) applied to all except three cases among outpatients and one case among inpatients. A significant positive correlation was found between the number of medications and the INTERCheck(®) score (ρ = 0.67; p < 0.000001), and a significant negative correlation was found between the drug-related anticholinergic burden and cognitive impairment (r = − 0.30 p = 0.01). Based on the INTERCheck(®) analysis, inpatients had a higher score for class D (contraindicated drug combination should be avoided) than did outpatients (p = 0.01). The potential class D drug–drug interactions were associated with adverse events that caused hospitalization (χ(2) = 7.428, p = 0.01). CONCLUSIONS: INTERCheck(®) analysis indicated that inpatients had a high risk of drug–drug interactions and a high percentage of related adverse drug events. Further prospective studies are necessary to evaluate whether the INTERCheck(®) software may help reduce polypharmacy-related adverse events when used in a primary care setting and thus potentially avoid related hospitalization and severe complications such as physical and cognitive decline.