scholarly journals Ruling out coronary artery disease in primary care: development and validation of a simple prediction rule

2010 ◽  
Vol 182 (12) ◽  
pp. 1295-1300 ◽  
Author(s):  
S. Bosner ◽  
J. Haasenritter ◽  
A. Becker ◽  
K. Karatolios ◽  
P. Vaucher ◽  
...  
Keyword(s):  
Primary Care ◽  
Coronary Artery Disease ◽  
Coronary Artery ◽  
Prediction Rule ◽  
Artery Disease ◽  
Development And Validation ◽  
Care Development

scholarly journals Critical aspects of the management of stable coronary artery disease in primary care practice or how to increase the efficacy of evidence-based pharmacological therapy?

2020 ◽  
Vol 6 (3) ◽  
pp. 15-20
Author(s):  
Sergey K. Zyryanov ◽  
Sergey B. Fitilev ◽  
Alexander V. Vozzhaev ◽  
Irina I. Shkrebniova ◽  
Dmitry A. Klyuev
Keyword(s):  
Primary Care ◽  
Coronary Artery Disease ◽  
Coronary Artery ◽  
Medication Adherence ◽  
Stable Coronary Artery Disease ◽  
Density Lipoprotein ◽  
Pharmacological Therapy ◽  
Care Practice ◽  
Cross Sectional ◽  
Artery Disease

Introduction: The publication describes a fragment of the pharmacoepidemiologic study conducted to review the quality of management of patients with stable coronary artery disease (SCAD) in primary care over a 12-year period. The aim of the study was to justify the application of standard operating procedures (SOPs). Such determinants of pharmacotherapy as non-pharmacological modification of cardiovascular risk factors (RFs) and medication adherence were analyzed. Material and methods: A retrospective, cross-sectional, 3-stage (2006, 2011, 2018) study was conducted in a primary care setting of Moscow. As many as 3027, 1834, 805 patients with verified diagnosis of SCAD were included. Demographics, medical history, data on modifiable RFs and prescribed drug therapies were collected. At the third stage, medication adherence was measured, using the 8-item Morisky scale. Results and discussion: Over a 7-year period, better control of modifiable RFs in coronary patients was revealed. The target levels of blood pressure were reached in 58.3% (+20.7%; p < 0.05) of the patients, total cholesterol – in 33.0% (+16.0%; p < 0.05), and low-density lipoprotein cholesterol – in 23.3% (+12.2%; p < 0.05). Two critical problems that determined still inadequate RFs control were identified. The attention of physicians to RFs and rates of non-pharmacological interventions remained low throughout the study. Information on lifestyle RFs was recorded in fewer than one-third of the subjects. The lipid profile was registered only in half of patients’ histories. Non-adherence to pharmacotherapy was identified in 51.3% of patients. Conclusion: Further increase in efficacy of pharmacotherapy might be provided by application of SOPs regarding the registration and correction of modifiable cardiovascular RFs, identification of non-adherent patients and promotion of medication adherence.

Development and Validation of a Scale to Measure Fear of Activity in Patients With Coronary Artery Disease (Fact-CAD)

2020 ◽  
Vol 101 (3) ◽  
pp. 479-486 ◽  
Author(s):  
Ozden Ozyemisci-Taskiran ◽  
Nesrin Demirsoy ◽  
Tugba Atan ◽  
Selcen Yuksel ◽  
Ozlem Coskun ◽  
...  
Keyword(s):  
Coronary Artery Disease ◽  
Coronary Artery ◽  
Artery Disease ◽  
Development And Validation

scholarly journals DEVELOPMENT AND VALIDATION OF AN OBESITY RISK SCORE TO PREDICT MORTALITY IN PATIENTS WITH CORONARY ARTERY DISEASE

2012 ◽  
Vol 59 (13) ◽  
pp. E1677
Author(s):  
Kashish Goel ◽  
Thais Coutinho ◽  
Daniel Correa de Sa ◽  
Charlotte Kragelund ◽  
Alka Kanaya ◽  
...  
Keyword(s):  
Coronary Artery Disease ◽  
Coronary Artery ◽  
Risk Score ◽  
Obesity Risk ◽  
Artery Disease ◽  
Development And Validation

scholarly journals A clinical prediction rule for the diagnosis of coronary artery disease: validation, updating, and extension

2011 ◽  
Vol 32 (11) ◽  
pp. 1316-1330 ◽  
Author(s):  
T. S. S. Genders ◽  
E. W. Steyerberg ◽  
H. Alkadhi ◽  
S. Leschka ◽  
L. Desbiolles ◽  
...  
Keyword(s):  
Coronary Artery Disease ◽  
Coronary Artery ◽  
Prediction Rule ◽  
Clinical Prediction Rule ◽  
Clinical Prediction ◽  
Artery Disease
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