肺动脉
医学
肺动脉高压
心力衰竭
心脏病学
血压
内科学
血流动力学
导管
肺楔压
不利影响
肺动脉导管
外科
心输出量
作者
Alexander Rothman,Nadine Arnold,Jacob J. Abou‐Hanna,Omid Forouzan,Andrew J. Swift,Payman Dahaghin,Shiran Konganige,Jennifer T Middleton,Hamza Zafar,S. Kim Suvarna,David G. Kiely,Julian Gunn
标识
DOI:10.1101/2020.12.27.424411
摘要
Abstract Aims Pulmonary hypertension (PH) is associated with significant morbidity and mortality and leads to progressive right heart failure. In patients with PAH, haemodynamic parameters measured at catheterisation relate to clinical worsening events, in patients with heart failure proactive pulmonary artery pressure based therapeutic intervention reduces hospitalisation. We therefore investigated use of a novel implanted pulmonary artery (PA) pressure monitor to detect clinically relevant changes in pressure in large animal models of pulmonary hypertension (PH). Methods and Results Prototype pulmonary artery pressure sensors (Endotronix) were implanted using standard interventional techniques. Acute PH was induced by infusion of thromboxane A2 in domestic swine. Over a physiological range pressure monitors remained concordant to reference catheter (bias −0.43, 95%CI-5.3-4.4). Chronic PH was induced by i.p. injection of monocrotaline. Implanted pressure sensors demonstrated a gradual rise in PA pressure over 30 days (baseline: 20.7+/-0.4 vrs day-30: 31.74+/-1.4, p<0.01). Pressure sensor derived readings matched reference catheter at baseline and day-30. Pressure sensors remained stable and no adverse events were identified by clinical and histological examination. Conclusions The development of PA pressure monitors provide long-term haemodynamic data that identified clinically meaningful changes in pulmonary artery pressure. In addition to proactive heart failure management, such devices may be used to optimise or personalize patient therapy, investigate aspects of physiology and pathology essential to the understanding of disease and provide the opportunity to assess therapeutic interventions in clinical studies.
科研通智能强力驱动
Strongly Powered by AbleSci AI