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The Identification of Potential Drug-Drug Interactions and The Factors Influencing the Interactions of the Coronary Heart Disease Patients Hospitalizing in Rumah Sakit Jogja Period of 2014-2017
Reny Rosmasari; Pramitha Esha N.D

Department of Pharmacy Profession, Faculty of Medicine and Health Sciences, Universitas Muhammadiyah Yogyakarta


Abstract

The number of patients diagnosed with Coronary Heart Disease is at a quite high position in Indonesia, and it increases in each year. Various studies have shown that patients with cardiovascular disease are at risk of suffering from drug interactions. Drug interactions may affect the increase of mortality and morbidity in patients. The high adverse effects caused by drug interactions in CHD patients encourages the researchers to conduct this study. The purpose of this research is to know the description of the types of potential drug-drug interactions and to evaluate the relationship among the number of drug interaction, the number of drugs consumed, the diagnosis number and how long of CHD inpatients treated in Rumah Sakit Umum Jogja (Jogja Hospital). This study is descriptive research with retrospective data collection method using a cross-sectional design from 91 medical record data of CHD inpatients in Rumah Sakit Umum Jogja in the period of 2014 - 2017. The data analysis uses the spearman test of the SPSS program. The result from 91 samples included in the inclusion criteria is that the number of potential drug interactions is fairly high that is as many as 151 kinds of events. The most frequent mechanism pattern is pharmacodynamics (50.33%). The pattern of potential drug interaction based on the biggest onset was onset delay (83.44%). The highest level of the potential interactions is moderate severity (35.10%). The most documentation is unlikely (35.10%), and the highest significance level is the level of significance 1 (25, 17%). This study showed a correlation between the number of potential interactions and the number of drugs (r = 0.496, p = 0,000). There was no correlation among the number of potential interactions, the number of diagnoses (r = 0.099, p = 0.350) and how long is the hospitalization (r = 0.115; p = 0.276).

Keywords: Potential Drug Interaction, Coronary Heart Disease

Topic: International Symposium of Engineering, Technology, and Health Sciences

Link: https://ifory.id/abstract/WduV2HcYGfTK

Conference: The 3rd International Conference on Sustainability and Innovation (ICoSI 2019)

Plain Format | Corresponding Author (Pramitha Esha Nirmala Dewi)

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