Vina Fauziah
STIkes Widya Dharma Husada Tangerang

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Evaluasi potensi interaksi obat pada pasien rawat inap penderita hipertensi dengan sindrom metabolik Nur Afni Syariah Nasar; Gina Auliah; Vina Fauziah
JOURNAL OF Pharmacy and Tropical Issues Vol. 6 No. 2 (2026): June Edition 2026
Publisher : Indonesian Public Health-Observer Information Forum (IPHORR)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56922/pti.v6i2.3426

Abstract

Background: Hypertension with metabolic syndrome is a condition that often requires combination therapy, thus increasing the risk of drug interactions. Purpose: To determine the potential for drug interactions and factors related to the occurrence of drug interactions in hospitalized patients with hypertension and metabolic syndrome. Method: Using an observational method with a cross-sectional design, the study sample consisted of 121 respondents. Data analysis was performed using univariate analysis to describe respondent characteristics, bivariate analysis using the Chi-Square and Mann-Whitney tests to determine the relationship between variables, and multivariate analysis using logistic regression to determine the factors most influential on drug interaction events. Results: Bivariate analysis showed that the number of medications significantly correlated with drug interactions (p-value = 0.026), while gender, age, and length of stay did not (p-value > 0.05). Multivariate analysis showed that the number of medications tended to be the most influential factor in drug interactions, with an OR of 1.262 and a p-value of 0.074. Conclusion: The number of medications is the most influential factor influencing the occurrence of drug interactions in hypertensive patients with metabolic syndrome. The more medications a patient takes, the greater the risk of drug interactions. Therefore, regular monitoring of medication use and evaluation of therapy are necessary to improve the safety and effectiveness of patient therapy.   Keywords: Drug Interactions; Hypertension; Hospitalization; Metabolic Syndrome; Polypharmacy.