کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
5930890 1572190 2013 5 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Improving Prediction of Outcomes in African Americans With Normal Stress Echocardiograms Using a Risk Scoring System
ترجمه فارسی عنوان
بهبود پیش بینی نتایج در آفریقایی آمریکایی ها با اکوکاردیوگرام استرس عادی با استفاده از سیستم امتیاز دهی ریسک
موضوعات مرتبط
علوم پزشکی و سلامت پزشکی و دندانپزشکی کاردیولوژی و پزشکی قلب و عروق
چکیده انگلیسی
Cardiovascular mortality is high in African Americans, and those with normal results on stress echocardiography remain at increased risk. The aim of this study was to develop a risk scoring system to improve the prediction of cardiovascular events in African Americans with normal results on stress echocardiography. Clinical data and rest echocardiographic measurements were obtained in 548 consecutive African Americans with normal results on rest and stress echocardiography and ejection fractions ≥50%. Patients were followed for myocardial infarction and death for 3 years. Predictors of cardiovascular events were determined with Cox regression, and hazard ratios were used to determine the number of points in the risk score attributed to each independent predictor. During follow-up of 3 years, 47 patients (8.6%) had events. Five variables-age (≥45 years in men, ≥55 years in women), history of coronary disease, history of smoking, left ventricular hypertrophy, and exercise intolerance (<7 METs in men, <5 METs in women, or need for dobutamine stress)-were independent predictors of events. A risk score was derived for each patient (ranging from 0 to 8 risk points). The area under the curve for the risk score was 0.82 with the optimum cut-off risk score of 6. Among patients with risk scores ≥6, 30% had events, compared with 3% with risk score <6 (p <0.001). In conclusion, African Americans with normal results on stress echocardiography remain at significant risk for cardiovascular events. A risk score can be derived from clinical and echocardiographic variables, which can accurately distinguish high- and low-risk patients.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: The American Journal of Cardiology - Volume 111, Issue 11, 1 June 2013, Pages 1593-1597
نویسندگان
, , , , , ,