Ventricular Strain Predicts the Risk of Right Heart Failure After Durable Left Ventricular Assist Device Implantation

BACKGROUND: Right heart failure (RHF) is prevalent after left ventricular assist device (LVAD) implantation and associated with poor short- and long-term outcomes. The interaction of the right ventricle (RV) with its afterload before LVAD implantation may impact the incidence of RHF. OBJECTIVES: The aim of the study was to investigate RV pulmonary artery (RVPA) coupling indexes derived from fusing myocardial strain imaging and invasive hemodynamics for their potential to predict RHF or the need for an RV assist device (RVAD). METHODS: Patients (N = 288) underwent a retrospective imaging analysis to yield RVPA coupling indexes fused from right ventricle free-wall (RVFW) strain or right ventricle global longitudinal strain (RVGLS) with systolic pulmonary artery pressure (sPAP). Multivariable logistic regression models considering the RVPA indexes and standard hemodynamics were assessed to predict: 1) the need for an RVAD; and 2) RHF. RESULTS: ; P < 0.001) were both associated with the need for an RVAD. The multivariable model with the highest predictive accuracy consisted of RVFW strain and pulmonary artery pulsatility index, yielding an area under the curve of 0.850 with a sensitivity of 88.6% and a specificity of 71.3%. CONCLUSIONS: RVFW strain and coupling indexes derived from catheterization and echocardiographic RV strain imaging can aid with the need for an RVAD and RHF risk stratification following LVAD implantation.

Authors

Institutions

Publication Details

Journal
JACC Advances
Published
2026-09-17
DOI
https://doi.org/10.1016/j.jacadv.2026.103240
Primary Topic
Mechanical Circulatory Support Devices
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

Ventricular Strain Predicts the Risk of Right Heart Failure After Durable Left Ventricular Assist Device Implantation

Ethan Tumarkin, Michal Schäfer, Josef Stehlik, Satvik Ramakrishna et al.
JACC Advances
Mechanical Circulatory Support Devices
article

Ventricular Strain Predicts the Risk of Right Heart Failure After Durable Left Ventricular Assist Device Implantation

Ethan Tumarkin, Michal Schäfer, Josef Stehlik, Satvik Ramakrishna, Syed Shahyan Bakhtiyar, Andrew Scott, Thomas Hanff, Craig H. Selzman, Matthew L. Goodwin, Spencer Carter, Hiroshi Kagawa, Stavros Drakos, Bryce Hill
article en

Abstract

BACKGROUND: Right heart failure (RHF) is prevalent after left ventricular assist device (LVAD) implantation and associated with poor short- and long-term outcomes. The interaction of the right ventricle (RV) with its afterload before LVAD implantation may impact the incidence of RHF. OBJECTIVES: The aim of the study was to investigate RV pulmonary artery (RVPA) coupling indexes derived from fusing myocardial strain imaging and invasive hemodynamics for their potential to predict RHF or the need for an RV assist device (RVAD). METHODS: Patients (N = 288) underwent a retrospective imaging analysis to yield RVPA coupling indexes fused from right ventricle free-wall (RVFW) strain or right ventricle global longitudinal strain (RVGLS) with systolic pulmonary artery pressure (sPAP). Multivariable logistic regression models considering the RVPA indexes and standard hemodynamics were assessed to predict: 1) the need for an RVAD; and 2) RHF. RESULTS: ; P < 0.001) were both associated with the need for an RVAD. The multivariable model with the highest predictive accuracy consisted of RVFW strain and pulmonary artery pulsatility index, yielding an area under the curve of 0.850 with a sensitivity of 88.6% and a specificity of 71.3%. CONCLUSIONS: RVFW strain and coupling indexes derived from catheterization and echocardiographic RV strain imaging can aid with the need for an RVAD and RHF risk stratification following LVAD implantation.

JACC AdvancesVol. 5(10)
University of Utah (US), George E. Wahlen Department of VA Medical Center (US)
Openalex Percentile: Top 21%
Mechanical Circulatory Support Devices
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.