Risk prediction in stable angina pectoris
| Autor: | Nina Rehnqvist, Claes Held, Paul Hjemdahl, I. Björkander, Ewa Billing, Sven V. Eriksson, Per Näsman, Lennart Forslund, Thomas Kahan |
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| Rok vydání: | 2012 |
| Předmět: |
Blood Glucose
Male medicine.medical_specialty Clinical Biochemistry Myocardial Infarction Renal function Biochemistry Coronary artery disease Angina Impaired glucose tolerance Double-Blind Method Heart Rate Risk Factors Internal medicine medicine Humans Angina Stable Myocardial infarction Aged business.industry General Medicine Glucose Tolerance Test Middle Aged medicine.disease Impaired fasting glucose Elevated serum creatinine Verapamil Creatinine Cardiology Female business Anti-Arrhythmia Agents Metoprolol medicine.drug |
| Zdroj: | European Journal of Clinical Investigation. 43:141-151 |
| ISSN: | 0014-2972 |
| DOI: | 10.1111/eci.12025 |
| Popis: | Background Although stable angina pectoris often carries a favourable prognosis, it remains important to identify patients with an increased risk of cardiovascular (CV) complications. Many new markers of disease activity and prognosis have been described. We evaluated whether common and easily accessible markers in everyday care provide sufficient prognostic information. Materials and methods The Angina Pectoris Prognosis Study in Stockholm treated 809 patients (248 women) with stable angina pectoris with metoprolol or verapamil double blind during a median follow-up of 3·4 years, with a registry-based extended follow-up after 9·1 years. Clinical and mechanistic variables, including lipids and glucose, renal function, ambulatory and exercise-induced ischaemia, heart rate variability, cardiac and vascular ultrasonography, and psychosocial variables were included in an integrated analysis. Main outcome measures were nonfatal myocardial infarction (MI) and CV death combined. Results In all, 139 patients (18 women) suffered a main outcome. Independent predictive variables were (odds ratio [95% confidence intervals]), age (1·04 per year [1·00;1·08], P = 0·041), female sex (0·33 [0·16;0·69], P = 0·001), fasting blood glucose (1.29 per mM [1.14; 1.46], P |
| Databáze: | OpenAIRE |
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