Mean systemic pressure (MSP) and mean pulmonary pressure (MPF), which are mean driving pressures for venous return in the natural heart, were studied in 11 calves in which the natural heart had been replaced with a total artificial heart (TAH). They were measured simply by stopping the artificial heart pumping. Although blood translocation from the arterial to the venous side was not performed, the eventual right and left atrial pressures reached six to eight seconds after stopping the TAH would represent MSP and MPP with reasonable accuracy. The MSP varied from nine to 3k mmHg (20+/-6 mmHg), whereas the MPP varied from nine to 39 mmHg (22+/-7 mmHg). The MSP varied in close relation to the right atrial pressure prior to cessation of the TAH (r=0.9124). Increases in RAP and MSP were mainly attributed to an increase in circulating blood volume. In the performance of the TAH, MSP (or MPP), proper diastolic duration and vacuum application during diastole was of prime importance in determining the end-diastolic ventricular volume.

Download full-text PDF

Source
http://dx.doi.org/10.1253/jcj.40.1005DOI Listing

Publication Analysis

Top Keywords

artificial heart
12
systemic pressure
8
pulmonary pressure
8
total artificial
8
natural heart
8
msp mpp
8
msp varied
8
varied mmhg
8
msp
6
heart
5

Similar Publications

Artificial intelligence-based framework for early detection of heart disease using enhanced multilayer perceptron.

Front Artif Intell

January 2025

Department of Computer Science and Artificial Intelligence, College of Computing and Information Technology, University of Bisha, Bisha, Saudi Arabia.

Cardiac disease refers to diseases that affect the heart such as coronary artery diseases, arrhythmia and heart defects and is amongst the most difficult health conditions known to humanity. According to the WHO, heart disease is the foremost cause of mortality worldwide, causing an estimated 17.8 million deaths every year it consumes a significant amount of time as well as effort to figure out what is causing this, especially for medical specialists and doctors.

View Article and Find Full Text PDF

Background: Right ventricular (RV) pacing exacerbates heart failure and increases cardiac mortality in patients with reduced ejection fraction (EF). However, its impact on left ventricular dysfunction in patients with preserved EF remains inconclusive. This study investigates the relationship between RV pacing, global longitudinal strain (GLS), and EF in patients with preserved EF.

View Article and Find Full Text PDF

Musicians and researchers: two creative professions striving to improve heart health through music.

Front Cardiovasc Med

January 2025

Institute of Molecular Pathobiochemistry, Experimental Gene Therapy and Clinical Chemistry (IFMPEGKC), RWTH University Hospital Aachen, Aachen, Germany.

Musicians and researchers are creative professions that share many similarities. They both aim to bring joy and progress to humanity. In recent decades, it has been shown that music has the ability to alleviate pain, improve heart function, reduce anxiety, and stimulate the release of endogenous opioids in the brain.

View Article and Find Full Text PDF

A comprehensive retrospect on the current perspectives and future prospects of pneumoconiosis.

Front Public Health

January 2025

Environmental Exposures Vascular Disease Institute, Shanxi Medical University, Taiyuan, Shanxi, China.

Pneumoconiosis is a widespread occupational pulmonary disease caused by inhalation and retention of dust particles in the lungs, is characterized by chronic pulmonary inflammation and progressive fibrosis, potentially leading to respiratory and/or heart failure. Workers exposed to dust, such as coal miners, foundry workers, and construction workers, are at risk of pneumoconiosis. This review synthesizes the international and national classifications, epidemiological characteristics, strategies for prevention, clinical manifestations, diagnosis, pathogenesis, and treatment of pneumoconiosis.

View Article and Find Full Text PDF

Enhancing cardiovascular disease classification in ECG spectrograms by using multi-branch CNN.

Comput Biol Med

January 2025

Department of Electrical and Electronics Engineering, Sri Sivasubramaniya Nadar College of Engineering, Chennai, India. Electronic address:

Cardiovascular disease (CVD) is caused by the abnormal functioning of the heart which results in a high mortality rate across the globe. The accurate and early prediction of various CVDs from the electrocardiogram (ECG) is vital for the prevention of deaths caused by CVD. Artificial intelligence (AI) is used to categorize and accurately predict various CVDs.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!