Evaluation of Factors Contributing to Potential Drug-Drug Interactions in Cardiovascular Disease Management: A Retrospective Study
Journal Title: Healthcraft Frontiers - Year 2024, Vol 2, Issue 2
Abstract
A retrospective analysis was conducted to assess potential drug-drug interactions (pDDIs) in the management of cardiovascular diseases, evaluating 500 prescriptions from hospitalized patients between January 1 and April 1, 2023. Using Medscape online software for the identification of drug-drug interactions (DDIs) and SPSS version 21 for statistical analysis, the study documented a 93% occurrence rate of pDDIs across the prescriptions. These interactions were categorized as serious (15% of cases, n=760, maximum per encounter: 4, mean: 1.52 ±1.064), significant (75.6% of cases, n=3855, maximum per encounter: 30, mean: 7.71 ±4.583), and minor (9.5% of cases, n=485, maximum per encounter: 4, mean: 0.95 ±1.025). On average, 9.5 medications were prescribed per patient. Factors significantly associated with the incidence of pDDIs included age (r= 0.921, P < 0.01), presence of concurrent diseases (r= 0.782, P < 0.01), length of hospital stay (r= 0.559, P < 0.01), and the number of prescribed drugs (r= 0.472, P < 0.01). The most frequent interacting combinations were identified, with Clopidogrel + Enoxaparin (38.15%, n=290) and Enoxaparin + Aspirin (26.92%, n=210) being the most common, followed by other notable combinations. The study recorded adverse drug reactions in 15 patients. This investigation highlights a significant prevalence of pDDIs, particularly in cases of polypharmacy among cardiovascular patients. It underscores the critical need for systematic analysis and vigilant monitoring of prescriptions prior to drug administration by healthcare professionals.
Authors and Affiliations
Awais Khan, Haya Hussain
Keywords
Related Articles
- EP ID EP744650
- DOI https://doi.org/10.56578/hf020202.
- Views 28
- Downloads 0
Evaluating the Efficacy of Tuberculosis Management Strategies in Nigeria: A Mathematical Modelling Approach
Tuberculosis (TB), an airborne disease caused by Mycobacterium, poses a significant global health challenge due to its rapid transmission through air and interaction with infected individuals. This study presents a c...
Investigating Malaria Susceptibility in Central Maluku District: A Focus on Anopheles Mosquito Habitats
Malaria remains a formidable challenge to global public health, with an estimated 241 million cases reported across 85 endemic countries in 2020. Within this context, Indonesia, and particularly the Central Maluku Rege...
Influence of Nutritional Status on Academic Performance: A Study of Schoolchildren in Eastern Morocco
This study investigates the impact of nutritional status on academic performance among schoolchildren in Eastern Morocco. Focusing on the prevalence of overweight, obesity, and their associations with academic outcomes,...
Pneumonia Detection Technique Empowered with Transfer Learning Approach
Detection of normal findings or pneumonia using modern technology has a lot of significance in medical analysis and artificial intelligence. Still, more specifically, its importance increases in deep learning. Deep l...
Ethical Implications and Educational Integration of AI-Driven Predictive Analytics in Healthcare: A Comprehensive Review
This comprehensive review investigates the ethical implications of artificial intelligence (AI)-driven predictive analytics in healthcare, with a focus on patient privacy, algorithmic bias, equitable access, and tran...