Pressure Volume Loop Analysis of the Right Ventricle in Heart Failure With Computed Tomography.
Anderson ScottZhennong ChenDiana Hernandez HernandezSeth KligermanPaul KimHao TranEric D AdlerFrancisco J ContijochPublished in: ASAIO journal (American Society for Artificial Internal Organs : 1992) (2022)
Right ventricular (RV) function is an important marker of mortality in chronic left-sided heart failure. Right ventricular function is particularly important for patients receiving left ventricular assist devices as it is a predictor of postoperative RV failure. RV stroke work index (RVSWI), the area enclosed by a pressure-volume (PV) loop, is prognostic of RV failure. However, clinical RVSWI approximates RVSWI as the product of thermodilution-derived stroke volume and the pulmonary pressure gradient. This ignores the energetic contribution of regurgitant flow and does not allow for advanced energetic measures, such as pressure-volume area and efficiency. Estimating RVSWI from forward flow may underestimate the underlying RV function. We created single-beat PV loops by combining data from cine computed tomography (CT) and right heart catheterization in 44 heart failure patients, tested the approximations made by clinical RVSWI and found it to underestimate PV loop RVSWI, primarily due to regurgitant flow in tricuspid regurgitation. The ability of RVSWI to predict post-operative RV failure improved when the single-beat approach was used. Further, RV pressure-volume area and efficiency measures were obtained and show broad agreement with other functional measures. Future work is needed to investigate the utility of these PV metrics in a clinical setting.
Keyphrases
- mycobacterium tuberculosis
- heart failure
- computed tomography
- left ventricular
- atrial fibrillation
- positron emission tomography
- pulmonary hypertension
- mitral valve
- magnetic resonance imaging
- transcription factor
- aortic valve
- aortic stenosis
- dual energy
- image quality
- cardiac resynchronization therapy
- heart rate
- cardiovascular disease
- type diabetes
- contrast enhanced
- transcatheter aortic valve replacement
- patients undergoing
- ejection fraction
- cardiovascular events
- acute heart failure
- left atrial
- big data
- hypertrophic cardiomyopathy
- subarachnoid hemorrhage
- brain injury