دانلود مقاله ISI انگلیسی شماره 149454
ترجمه فارسی عنوان مقاله

بررسی قدرت خروجی قلب در حالت استراحت به عنوان یک عامل پیش آگهی در بیماران مبتلا به نارسایی قلبی پیشرفته

عنوان انگلیسی
Evaluation of Resting Cardiac Power Output as a Prognostic Factor in Patients with Advanced Heart Failure
کد مقاله سال انتشار تعداد صفحات مقاله انگلیسی
149454 2017 7 صفحه PDF
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : The American Journal of Cardiology, Volume 120, Issue 6, 15 September 2017, Pages 973-979

پیش نمایش مقاله
پیش نمایش مقاله  بررسی قدرت خروجی قلب در حالت استراحت به عنوان یک عامل پیش آگهی در بیماران مبتلا به نارسایی قلبی پیشرفته

چکیده انگلیسی

If the heart is represented by a hydraulic pump, cardiac power represents the hydraulic function of the heart. Cardiac pump function is frequently determined through left ventricular ejection fraction using imaging. This study aims to validate resting cardiac power output (CPO) as a predictive biomarker in patients with advanced heart failure (HF). One hundred and seventy-two patients with HF severe enough to warrant cardiac transplantation were retrospectively reviewed at a single tertiary care institution between September 2010 and July 2013. Patients were initially evaluated with simultaneous right-sided and left-sided cardiac catheter-based hemodynamic measurements, followed by longitudinal follow-up (median of 52 months) for adverse events (cardiac mortality, cardiac transplantation, or ventricular assist device placement). Median resting CPO was 0.54 W (long rank chi-square = 33.6; p < 0.0001). Decreased resting CPO (<0.54 W) predicted increased risk for adverse outcomes. Fifty cardiac deaths, 10 cardiac transplants, and 12 ventricular assist device placements were documented. The prognostic relevance of resting CPO remained significant after adjustment for age, gender, left ventricular ejection fraction, mean arterial pressure, pulmonary vascular resistance, right atrial pressure, and estimated glomerular filtration rate (HR, 3.53; 95% confidence interval, 1.66 to 6.77; p = 0.0007). In conclusion, lower resting CPO supplies independent prediction of adverse outcomes. Thus, it could be effectively used for risk stratification in patients with advanced HF.