Objective: The aim of this study was to identify predictors of potential drug-drug interactions in patients suffering from Parkinson’s disease.The aim of this study was to identify predictors of potential drug-drug interactions in patients suffering from Parkinson’s disease.

Background: Levodopa, of the mainstay of Parkinson’s disease therapy, is frequently interacting with numerous drugs.

Method: This was a retrospective cross-sectional study in PD patients at the Clinic of Neurology, Clinical Center Kragujevac. Medical records of hospitalized patients during the period 1.1.2017 – 31.12.2019 were reviewed. The pDDIs were identified by means of Micromedex and Lexi-Interact, and multivariate regression methods were used to reveal potential predictors of number of pDDIs per patient.

Results: Micromedex detected 160 pDDIs in 77.8% of 72 patients with PD. The most frequent pDDIs were those that involved aspirin (with bisoprolol, sertraline, perindopril). Predictors of pDDIs in general was total number of drugs, while  use of antidepressants presented a significant risk factor for major pDDIs. Lexi-Interact revealed 310 pDDIs in 98.6% of patients. The three most common pDDIs were with levodopa (bisoprolol, clonazepam, perindopril). Total number of drugs, number of co-morbidities, hospitalization at the neurodegenerative ward, and use of antipsychotics were identified as the relevant predictors of pDDIs. Lexi-interact software detected significantly more pDDI than Micromedex (p<0.001).

Conclusion: The main predictors of pDDIs were total number of drugs, number of co-morbidities, hospitalization at the neurodegenerative ward and therapy with antidepressants or antipsychotics.

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MDS Abstracts - https://www.mdsabstracts.org/abstract/potential-drug-drug-interactions-in-hospitalized-patients-with-parkinsons-disease-from-tertiary-center-in-serbia/