Key result
The number of prescribed drugs was significantly correlated with the number of potential drug-drug interactions among hospitalized CHD patients (r = 0.496; p < 0.001).
Why the study?
Coronary heart disease patients are at risk of drug interactions that increase morbidity and mortality, prompting the identification of potential drug-drug interactions and patient-related factors.
Cross-Sectional (n=91)
No
Effect estimate: r = 0.496
p-value: p=< 0.001
Polypharmacy in hospitalized CHD patients significantly increases the risk of potential drug-drug interactions, emphasizing the importance of prescription monitoring.
Background: Coronary Heart Disease (CHD) patients are at risk of suffering from drug interactions, leading to a higher risk of mortality and morbidity among these patients. This study aims to identify the potential drug-drug interactions (PDDIs) and CHD patients' related factors. Methods: A cross-sectional study was performed among the CHD patients to identify the PDDIs from 2014 to 2017 at a Secondary Hospital. The PDDIs were categorized according to the interaction mechanism, onset, severity, and documentation. Results: Among 91 CHD patients, 151 PDDIs were identified consisting of pharmacokinetics mechanism and delayed onset, 50.33%, and 83.44%, respectively. Furthermore, there was a correlation between the number of PDDIs and the number of drugs (r = 0.496; p < 0.001). Conclusion: This study revealed that the more the drugs were prescribed to CHD patients, the more the PDDIs risk would occur. The regular monitoring of the CHD patient’s prescriptions is noteworthy to avoid the PDDIs.
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Rosmasari et al. (2022) conducted a cross-sectional in Coronary Heart Disease (CHD) (n=91). Number of prescribed drugs was evaluated on Correlation between the number of potential drug-drug interactions (PDDIs) and the number of drugs (r = 0.496, p=< 0.001). The number of prescribed drugs was significantly correlated with the number of potential drug-drug interactions among hospitalized CHD patients (r = 0.496; p < 0.001).
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