Observational studyBMJ open2025
Potential drug-drug interactions among hospitalised cardiac patients in Nepal: a prospective observational study.
Observational study in BMJ open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
1 citing paper in PubMed.
- Assessment of Potential Drug-Drug Interactions and Associated Factors Among Pulmonary Inpatients in a Tertiary Care Hospital: A Cross-Sectional Study.Drugs - real world outcomes · 2026Article
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundDrug-drug interactions (DDIs) are a significant concern for patients on complex therapeutic regimens, especially involving cardiovascular medications, which are frequently implicated in these interactions.
objectivesThis study used a standardised interaction database to determine the frequency, severity and risk factors associated with potential DDIs (pDDIs) among cardiovascular disease (CVD) in-patients.
methodsThe prospective cross-sectional study was conducted at a tertiary care hospital in Nepal from April 2024 to October 2024. A total of 106 eligible CVD in-patients were evaluated for pDDIs using the Lexicomp DDI checker database, and the interactions were categorised based on severity and risk rating. Binary logistic regression identified factors associated with pDDIs.
resultsThe study identified 621 pDDIs using the Lexicomp database, with median values of 8 pDDIs per patient. Patients with at least one pDDI comprised 64.2% of the sample. Most pDDIs were of moderate severity (77.3%) with risk ratings of C (65.7%). The most common cardiovascular medications involved in the detected DDI pairs were diuretics (31.2%), antiplatelets and anticoagulants (23.8%) and calcium channel blockers (12.2%). Multivariate binary logistic regression revealed that patients who stayed longer (adjusted OR (AOR) 9.08, 95% CI 1.027 to 80.216, p=0.047), those receiving more medications (AOR 18.85, 95% CI 2.975 to 119.370, p=0.002) and those who were admitted to the intensive cardiac care unit (AOR 16.31, 95% CI 2.728 to 97.461, p=0.002) were significantly more likely to experience pDDIs.
conclusionsThis study found a higher prevalence of pDDIs. It is advisable to incorporate medication reviews into routine cardiac care and use a drug interaction checker to identify pDDIs.
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