Purpose: Many atrial fibrillation (AF) patients use cardiovascular medications for indications other than AF. These medications can affect morbidity and mortality. We aim to investigate the characteristics of AF patients who use different medication classes and their clinical course.
Methods: We collected data from the prospective, multicenter registry, JoFib study. We identified classes of non-AF medications (medications not used for rate control, rhythm control, or anticoagulation), described demographic and clinical characteristics, and investigated AF-related outcomes according to these medication classes.
Results: From a total of 2020 patients, five classes of cardiovascular non-AF medications were identified, aspirin, P2Y12 inhibitors, ACE inhibitors/ARBs, statins, and diuretics. The most commonly used non-AF medications were diuretics and ACE inhibitors/ARBs (39.2%, and 39%, respectively). 51% of AF patients took more than one non-AF medication. Multivariable Cox regression analysis demonstrated that ACE inhibitor/ARB therapy independently reduced the risks of all-cause mortality and cardiovascular mortality (aHR 0.50, 95%CI 0.37-0.68; aHR 0.51, 95%CI 0.34-0.75, respectively) and that statin therapy reduced the risk of cardiovascular mortality (aHR 0.68, 95%CI 0.48-0.98) in AF patients. Multivariable logistic regression analysis demonstrated a protective effect of statin therapy against the secondary outcome, clinically relevant non-major bleeding (CRNMB) (adjusted OR 0.62 95%CI 0.42-0.94).
Conclusion: Our findings suggest a protective effect of ACE inhibitors/ARBs against all-cause and cardiovascular mortality, statins against cardiovascular mortality, and CRNMB in patients with AF. Accordingly, these medications should be encouraged in patients with AF when indicated. Additionally, future research should explore whether these medications should be offered to AF patients more routinely. The study was registered with Clinicaltrials.gov (unique identifier number: NCT03917992, Registration date:14/4/2019).
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http://dx.doi.org/10.1007/s00228-024-03622-8 | DOI Listing |
Medicine (Baltimore)
January 2025
Cardiovascular Research Center, Shiraz University of Medical Sciences, Shiraz, Iran.
Chronic coronary artery disease (CAD) remains a significant global healthcare burden. Current risk assessment methods have notable limitations in early detection and risk stratification. Hence, there is an urgent need for innovative biomarkers that facilitate the premature CAD diagnosis, ultimately leading to reduction in associated morbidity and mortality rates.
View Article and Find Full Text PDFCancer Rep (Hoboken)
January 2025
Golestan Research Center of Gastroenterology and Hepatology, Golestan University of Medical Sciences, Gorgan, Iran.
Background: Recently, microRNAs (miRNAs) have been applied as biomarkers for diffuse large B-cell lymphoma (DLBCL) patients. Early diagnosis and management of DLBCL can improve patient survival and prognosis.
Aims: This systematic review and meta-analysis aimed to evaluate the diagnostic and prognostic accuracy of miRNA biomarkers in DLBCL patients.
PLoS Med
January 2025
Institute for Global Health, University College London, London, United Kingdom.
Background: Cardiovascular disease (CVD) morbidity and mortality is increasing in Africa, largely due to undiagnosed and untreated hypertension. Approaches that leverage existing primary health systems could improve hypertension treatment and reduce CVD, but cost-effectiveness is unknown. We evaluated the cost-effectiveness of population-level hypertension screening and implementation of chronic care clinics across eastern, southern, central, and western Africa.
View Article and Find Full Text PDFPLoS One
January 2025
Nursing & Midwifery Research Department (NMRD), Hamad Medical Corporation, Doha, Qatar.
Background: Ischemic heart disease (IHD) has a significant impact on public health and healthcare expenditures in the United States (US).
Methods: We used data from the CDC WONDER database from 1999-2020 to identify trends in the IHD-related mortality of patients ≥ 75 years in the US. AAMRs per 100,000 population and APC were calculated and categorized by year, sex, race, and geographic divisions.
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