@article {216109, title = {The central arterial stiffness parameters in decompensated versus compensated states of heart failure: a paired comparative cohort study.}, journal = {The Egyptian heart journal : (EHJ) : official bulletin of the Egyptian Society of Cardiology}, volume = {74}, year = {2022}, pages = {2}, abstract = {

BACKGROUND: Arterial stiffness is strongly linked to the pathogenesis of heart failure and the development of acute decompensation in patients with stable chronic heart failure. This study aimed to compare arterial stiffness indices in patients with heart failure with reduced ejection fraction (HFrEF) during the acute decompensated state, and three months later after hospital discharge during the compensated state.

RESULTS: One hundred patients with acute decompensated HFrEF (NYHA class III and IV) and left ventricular ejection fraction <= 35\% were included in the study. During the initial and follow-up visits, all patients underwent full medical history taking, clinical examination, transthoracic echocardiography, and non-invasive pulse wave analysis by the Mobil-O-Graph 24-h device for measurement of arterial stiffness. The mean age was 51.6 {\textpm} 6.1~years and 80\% of the participants were males. There was a significant reduction of the central arterial stiffness indices in patients with HFrEF during the compensated state compared to the decompensated state. During the decompensated state, patients presented with NYHA FC IV (n = 64) showed higher AI (24.5 {\textpm} 10.0 vs. 16.8 {\textpm} 8.6, p \< 0.001) and pulse wave velocity (9.2 {\textpm} 1.3 vs. 8.5 {\textpm} 1.2, p = 0.021) than patients with NYHA FC III, and despite the relatively smaller number of females, they showed higher stiffness indices than males.

CONCLUSIONS: Central arterial stiffness indices in patients with HFrEF were significantly lower in the compensated state than in the decompensated state. Patients with NYHA FC IV and female patients showed higher stiffness indices in their decompensated state of heart failure.

}, author = {El Fol, Ahmed and Waleed Ammar and Yasser Sharaf, and Ghada Youssef} }