The relationship of systemic and pulmonary arterial parameters with HFpEF scores (H 2 FPEF, HFA-PEFF) and diastolic dysfunction parameters in heart failure patients with preserved ejection fraction.

Autor: Yavuz YE; Department of Cardiology, Necmettin Erbakan University, Meram Faculty of Medicine, Konya, Turkey., Soylu A; Department of Cardiology, Necmettin Erbakan University, Meram Faculty of Medicine, Konya, Turkey., Gürbüz AS; Department of Cardiology, Necmettin Erbakan University, Meram Faculty of Medicine, Konya, Turkey.
Jazyk: angličtina
Zdroj: Journal of clinical ultrasound : JCU [J Clin Ultrasound] 2024 Jan; Vol. 52 (1), pp. 39-50. Date of Electronic Publication: 2023 Oct 31.
DOI: 10.1002/jcu.23572
Abstrakt: Objective: We aimed to show the relationship between pulmonary pulse wave transit time (pPTT), pulmonary artery stiffness (PAS), and aortic stiffness parameters measured by non-invasive methods, HFpEF patients, and HFpEF scores (H 2 FPEF, HFA-PEFF).
Method: A total of 101 patients were included in our study, 52 of whom were HFpEF patients and 49 were control groups without heart failure. Echocardiographic parameters for PAS and pPTT were calculated, along with diastolic parameters that support the diagnosis of HFpEF. Aortic stiffness was assessed using a PWA monitor. Demographic features, laboratory findings, aortic stiffness parameters, and echocardiographic findings including pulmonary artery parameters were compared with the control group.
Results: PAS, pPTT, PWV were significantly higher in the HFpEF group than in the control group (p < 0.001). PAS and pPTT correlated positively with HFpEF scores. In linear regression analysis for PAS, a directly positive correlation was found between E/e' and PAS, independent of aortic stiffness.
Conclusion: These parameters can be used as a predictive value in the diagnosis process of patients with suspected HFpEF. A significant relationship between PAS and ventricular stiffness (E/e') was shown independently of aortic stiffness.
(© 2023 Wiley Periodicals LLC.)
Databáze: MEDLINE
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