Nearly 60% of patients with heart failure (HF)
IntroductionNowadays, about 14 million Europeans are suffered from heart failure (HF). Statistical analyses forecast an increase of patients with HF to 30 million by the year 2020. Nearly 60% of HF patients suffer from cardiac death within five years after diagnosis. Furthermore, HF is the most common reason for hospitalization in the over-65 age group [1].HF is a complex cardiovascular disease often resulting from any functional or structural cardiac disorder that is mostly caused by coronary artery disease, hypertension and cardiomyopathy and characterized by impaired ventricular filling or reduced ventricular ejection fraction (EF) [2]. The extent of HF by physicians is often assessed according to the New York Heart Association (NYHA) functional classification system that places patients in the categories NYHA I-IV based on how much they are limited during physical activity. However, currently applied strategies for early diagnosis of HF are not sufficient. An improved risk stratification of HF is necessary to assess the prognosis of HF and to find an adapted drug treatment or an optimal timing for pacemaker or cardioverter defibrillator implantation or for heart transplantation.The aim of this study was to develop a multivariate parameter set for an enhanced risk stratification in patients with heart failure.
MethodsWithin this study, 43 patients suffered from HF characterized by NYHA≥2 and EF<45% and 20 healthy subjects as reference (REF) were enrolled.30 minutes of ECG and synchronized continuously blood pressure (NIBP) were recorded under standardized resting conditions (supine position, quiet environment, same time and place) using the non-invasive Portapres M2 blood pressure monitor (TNO-TPD, Amsterdam, Netherlands). Thereafter, heart sound and synchronized ECG as well as NIBP were acquired on 9 auscultation areas over 5 heart beats during the patient hold his breath. For the recording of heart sound a hand-held electronic stethoscope (Welch Allyn® Master Elite Plus Stethoscope) was applied. Heart sound were digitized using a high quality USB soundcard (Maya EX, Audiotrak, sampling frequency 44100 Hz, resolution 16 bit). Using a commercially available amplifier system (Twente Medical Systems, Netherlands) ECG and NIBP were sampled with f s =1600 Hz. After discretization the signals were stored in a data base together with the patient data. The diagnosis of all HF patients were confirmed by an experienced cardiologist using short-and long-term ECG as well as stress ECG, echocardiography and heart catheter examination.From the 30 minute data records the time series of heart rate (tachogram) consisting of beat-to-beat intervals (BBI) and of blood pressure (systogram/diastogram) were extracted. Ectopic beats as well as other disturbances were removed. To quantify the heart rate variability (HRV) and blood pressure variability (BPV) several parameters of time domain, frequency domain and nonlinear dynamics were calculated from every tachogram, systogr...