(069) Sociodemographic Factors Affecting Drug Interactions in Stable Angina Pectoris Patients in the Cardiology Polyclinic of A Tertiary General Hospital in Banjarmasin

Publication Number: 1064

Background: Drug interactions can produce adverse and/or beneficial effects. The prevalence of drug interactions in cardiology is high, especially in Stable Angina Pectoris (SAP) patients. Various sociodemographic factors might potentially affect the drug interactions.

Objectives: This study aimed to determine the frequency and risk rate of drug interactions in SAP patients in the Cardiology Polyclinic of a tertiary general hospital in Banjarmasin, and to assess the sociodemographic factors that might influence the drug interactions.

Methods: This was a retrospective observational study conducted in the Cardiology Polyclinic of a tertiary general hospital in Banjarmasin during 2020-2021. Subjects included all SAP outpatients who received at least two drugs. The exposures were the sociodemographic factors including age, gender, education, occupation, marriage, and hypertension. Potential drug interaction events were screened with the Lexicomp application. Multivariate logistic regression analysis was used to find factors associated with the presence of potential adverse drug interactions in categories D and/or X. A p-value < 0.05 was considered statistically significant.

Results: A total of 84 SAP patients were included. Most patients were males (60.71%), with the average age of 54.74±9.77 years, not educated (33.33%), self-employed (28.57%), married (82.14%), had hypertension (53.57%) and major polypharmacy (52.38%). From a total prescription of 396 drugs, there were drug interactions in 76 patients (90.48%) that were not potentially harmful, and 8 patients (9.52%) that were potentially harmful, with a total of 335 drug interactions, with 98 types of drug interactions. Based on the risk rating, category C was the most common (65.67%), followed by category B (21.79%), category A (10.15%), and category D (2.39%). The factor that was significantly having a dominant influence on adverse drug interactions (category D and/or X) was age (OR 1.11, 95%CI 1.00-1.22, p = 0.04).

Conclusions: There was a high prevalence of potential drug interactions in SAP patients in the Cardiology Polyclinic of a tertiary general hospital in Banjarmasin. Age was the dominant sociodemographic factor that influenced drug interactions in these patients.