Background: Secondary prevention of coronary artery disease markedly reduces cardiovascular mortality and non-fatal endpoints. Outpatient care of subjects with coronary artery disease has been assessed in several European countries, but no current data is available for Switzerland.
Methods: A random sample of office-based physicians across Switzerland recorded current drug prescription of outpatients with coronary artery disease in the years 2000/2001 by means of a mail questionnaire. We assessed treatment frequencies according to different patient characteristics.
Results: 565 patients were included (mean age 68 +/- 11 years, 75% male). There was no evidence for differences in drug utilisation among the regions. Drug prescription rates for antithrombotic agents, beta-blockers, ACE-inhibitors/angiotensin receptor blockers and lipid lowering drugs were 91%, 58%, 50% and 63% respectively. Lower treatment rates were observed among patients >70 years and in those without a history of myocardial infarction or coronary revascularisation. Forty-nine percent of the patients had a blood pressure >140/>90, and 60% had lipid readings above the intervention cut-off according to the Swiss recommendations. Among those without a history of myocardial infarction or coronary revascularisation, the respective figures were 60% and 80%.
Conclusions: Compared to former surveys evidence based drug prescription has improved in Switzerland. Despite this, therapeutic goals for cholesterol levels and blood pressure are not being reached in a large proportion of patients. A high risk group for under use of evidence based drugs are patients without a history of myocardial infarction or coronary revascularisation.
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http://dx.doi.org/10.4414/smw.2003.10119 | DOI Listing |
J Mater Sci Mater Med
January 2025
Department of Neurology, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, PR China.
In-stent restenosis (ISR) following interventional therapy is a fatal clinical complication. Current evidence indicates that neointimal hyperplasia driven by uncontrolled proliferation of vascular smooth muscle cells (VSMC) is a major cause of restenosis. This implies that inhibiting VSMC proliferation may be an attractive approach for preventing in-stent restenosis.
View Article and Find Full Text PDFPharmacoepidemiol Drug Saf
January 2025
Department of Population Health Sciences, Duke University School of Medicine, Durham, North Carolina, USA.
Purpose: Increases in adult stimulant prescribing pose a potential risk due to the higher prevalence of contraindicated conditions among this population. We sought to identify patient, provider, and visit characteristics predictive of potentially inappropriate adult stimulant prescriptions.
Methods: We conducted a repeated cross-sectional study using the National Ambulatory Medical Care Survey, a nationally representative weighted sample of 5 453 702 723 ambulatory care visits from 2012 to 2019.
Eur J Cardiothorac Surg
December 2024
Coronary Center, Department of Thoracic and Cardiovascular Surgery, Miller Family Heart, Vascular, & Thoracic Institute, Cleveland Clinic, Cleveland, Ohio, USA.
Open Heart
January 2025
Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.
Background: Visual assessment of coronary CT angiography (CCTA) is time-consuming, influenced by reader experience and prone to interobserver variability. This study evaluated a novel algorithm for coronary stenosis quantification (atherosclerosis imaging quantitative CT, AI-QCT).
Methods: The study included 208 patients with suspected coronary artery disease (CAD) undergoing CCTA in Perfusion Imaging and CT Coronary Angiography With Invasive Coronary Angiography-1.
Open Heart
January 2025
Department of Molecular and Clinical Medicine, University of Gothenburg Institute of Medicine, Gothenburg, Sweden.
Purpose: We examined whether end-to-end deep-learning models could detect moderate (≥50%) or severe (≥70%) stenosis in the left anterior descending artery (LAD), right coronary artery (RCA) or left circumflex artery (LCX) in iodine contrast-enhanced ECG-gated coronary CT angiography (CCTA) scans.
Methods: From a database of 6293 CCTA scans, we used pre-existing curved multiplanar reformations (CMR) images of the LAD, RCA and LCX arteries to create end-to-end deep-learning models for the detection of moderate or severe stenoses. We preprocessed the images by exploiting domain knowledge and employed a transfer learning approach using EfficientNet, ResNet, DenseNet and Inception-ResNet, with a class-weighted strategy optimised through cross-validation.
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