F Ranchon1,2, C Rioufol3,4, H Prely1, C Herledan1,2, A G Caffin1, A Baudouin1, V Larbre1,2, M Maire1, V Schwiertz1, N Vantard1. 1. Clinical Oncology Pharmacy Department, Hospices Civils de Lyon, Groupement Hospitalier Sud, Pharmacy, 165 Chemin du Grand Revoyet, 69495, Pierre Bénite, France. 2. Centre Pour l'Innovation en Cancérologie de Lyon, Université Lyon 1- EA 3738, Lyon, France. 3. Clinical Oncology Pharmacy Department, Hospices Civils de Lyon, Groupement Hospitalier Sud, Pharmacy, 165 Chemin du Grand Revoyet, 69495, Pierre Bénite, France. catherine.rioufol@chu-lyon.fr. 4. Centre Pour l'Innovation en Cancérologie de Lyon, Université Lyon 1- EA 3738, Lyon, France. catherine.rioufol@chu-lyon.fr.
Abstract
PURPOSE: Due to polypharmacy and the rising popularity of complementary and alternative medicines (CAM), oncology patients are particularly at risk of drug-drug interactions (DDI) or herb-drug interactions (HDI). The aims of this study were to assess DDI and HDI in outpatients taking oral anticancer drug. METHOD: All prescribed and non-prescribed medications, including CAM, were prospectively collected by hospital pharmacists during a structured interview with the patient. DDI and HDI were analyzed using four interaction software programs: Thériaque®, Drugs.com®, Hédrine, and Memorial Sloan Kettering Cancer Center (MSKCC) database. All detected interactions were characterized by severity, risk and action mechanism. The need for pharmaceutical intervention to modify drug use was determined on a case-by-case basis. RESULTS: 294 patients were included, with a mean age of 67 years [55-79]. The median number of chronic drugs per patient was 8 [1-29] and 55% of patients used at least one CAM. At least 1 interaction was found for 267 patients (90.8%): 263 (89.4%) with DDI, 68 (23.1%) with HDI, and 64 (21.7%) with both DDI and HDI. Only 13% of the DDI were found in Thériaque® and Drugs.com® databases, and 125 (2.5%) were reported with similar level of risk on both databases. 104 HDI were identified with only 9.5% of the interactions found in both databases. 103 pharmaceutical interventions were performed, involving 61 patients (20.7%). CONCLUSION: Potentially clinically relevant drug interaction were frequently identified in this study, showing that several databases and structured screening are required to detect more interactions and optimize medication safety.
PURPOSE: Due to polypharmacy and the rising popularity of complementary and alternative medicines (CAM), oncology patients are particularly at risk of drug-drug interactions (DDI) or herb-drug interactions (HDI). The aims of this study were to assess DDI and HDI in outpatients taking oral anticancer drug. METHOD: All prescribed and non-prescribed medications, including CAM, were prospectively collected by hospital pharmacists during a structured interview with the patient. DDI and HDI were analyzed using four interaction software programs: Thériaque®, Drugs.com®, Hédrine, and Memorial Sloan Kettering Cancer Center (MSKCC) database. All detected interactions were characterized by severity, risk and action mechanism. The need for pharmaceutical intervention to modify drug use was determined on a case-by-case basis. RESULTS: 294 patients were included, with a mean age of 67 years [55-79]. The median number of chronic drugs per patient was 8 [1-29] and 55% of patients used at least one CAM. At least 1 interaction was found for 267 patients (90.8%): 263 (89.4%) with DDI, 68 (23.1%) with HDI, and 64 (21.7%) with both DDI and HDI. Only 13% of the DDI were found in Thériaque® and Drugs.com® databases, and 125 (2.5%) were reported with similar level of risk on both databases. 104 HDI were identified with only 9.5% of the interactions found in both databases. 103 pharmaceutical interventions were performed, involving 61 patients (20.7%). CONCLUSION: Potentially clinically relevant drug interaction were frequently identified in this study, showing that several databases and structured screening are required to detect more interactions and optimize medication safety.
Authors: Marjan Askari; Saied Eslami; Mathijs Louws; Peter C Wierenga; Dave A Dongelmans; Rob A Kuiper; Ameen Abu-Hanna Journal: Pharmacoepidemiol Drug Saf Date: 2013-02-18 Impact factor: 2.890
Authors: Jane Louisa Debus; Paula Bachmann; Niklas Frahm; Pegah Mashhadiakbar; Silvan Elias Langhorst; Barbara Streckenbach; Julia Baldt; Felicita Heidler; Michael Hecker; Uwe Klaus Zettl Journal: Ther Adv Chronic Dis Date: 2022-08-04 Impact factor: 4.970
Authors: Michael Hecker; Niklas Frahm; Paula Bachmann; Jane Louisa Debus; Marie-Celine Haker; Pegah Mashhadiakbar; Silvan Elias Langhorst; Julia Baldt; Barbara Streckenbach; Felicita Heidler; Uwe Klaus Zettl Journal: Front Pharmacol Date: 2022-08-05 Impact factor: 5.988