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Improving Prediction of Acute Right Ventricular Failure in Patients Undergoing Left Ventricular Assist Devices Using Novel Comprehensive Eighteen-Segment Echocardiographic Strain Analysis
- Source :
- The Journal of Heart and Lung Transplantation. 40:S170-S171
- Publication Year :
- 2021
- Publisher :
- Elsevier BV, 2021.
-
Abstract
- Purpose The complex anatomy and different contraction patterns of the different right ventricular (RV) wall segments has made it challenging to predict acute RV failure (ARVF) in patients receiving a left ventricular assist device (LVAD). We sought to improve the prediction of ARVF after LVAD by performing a comprehensive 18-segment strain (e) analysis of the RV. Methods Prospectively enrolled LVAD recipients had a right heart catheterization and echocardiogram prior to implant. From RV-focused views (Figure 1A), 18-segment e was performed and indexed to pulmonary arterial elastance (Ea [PV]). ARVF was defined as need for RVAD, inotropes for >14 days or pulmonary vasodilator for >48 hours post-LVAD. Logistic regression was used to identify associations between specific parameters and ARVF. Results ARVF occurred in 15 of 30 patients enrolled. Lower pulmonary artery pulsatility index (PAPi), TAPSE and basal free wall (FW) (basal anterior, lateral and posterior FW) segmental e/Ea (PV) were significantly associated with ARVF. Indexed basal FW segmental strain provided incremental predictive value over PAPi and TAPSE (Figure 1B). Conclusion Prediction of ARVF in LVAD candidates can be improved by adding comprehensive RV segmental strain analysis to traditional echocardiographic and hemodynamics parameters.
- Subjects :
- Pulmonary and Respiratory Medicine
Inotrope
Transplantation
medicine.medical_specialty
business.industry
medicine.medical_treatment
Hemodynamics
Strain (injury)
medicine.disease
Basal (phylogenetics)
medicine.artery
Internal medicine
Ventricular assist device
Pulmonary artery
medicine
Cardiology
Surgery
In patient
Implant
Cardiology and Cardiovascular Medicine
business
Subjects
Details
- ISSN :
- 10532498
- Volume :
- 40
- Database :
- OpenAIRE
- Journal :
- The Journal of Heart and Lung Transplantation
- Accession number :
- edsair.doi...........93c212ee562b1985702c21be9f7a0a70
- Full Text :
- https://doi.org/10.1016/j.healun.2021.01.502