Abstract 4372395: Post-LVAD Pulsatility Index Trajectories and Their Clinical Implications: A Retrospective Study of China Multicenter LVAD Cohort

Introduction: Left ventricular assist devices (LVAD), widely adopted internationally, have been increasingly implemented in China as a vital life-support strategy for patients with end-stage heart failure. Non-pulsatile blood flow is a defining physiological characteristic of LVAD support. Although an association between reduced pulsatility and adverse outcomes continues to be proposed, robust clinical evidence remains lacking. Methods: Retrospective study of adults (>18 years) receiving LVADs at four Chinese cardiac medical centers (Jan 2019 - Jul 2024) was conducted. Systemic pulsatility index (PI, calculated as pulse pressure divided by the mean arterial pressure) was derived from blood pressure measurements pre-LVAD and serially post-LVAD (days 1, 7, 14, 21, 28). Latent Class Trajectory Modeling (LCTM) identified distinct population groups based on PI trajectories; optimal model selection used lowest Bayesian Information Criterion (BIC), posterior probability >0.8, and group size >2%. The primary outcome was 90-day major adverse events (MAE: mortality or complications). Association between PI trajectories and clinical outcomes were assessed using univariable and multivariable logistic regression (adjusted for age, sex, BSA, pre-MI and INTERMACS level). Results: Among 115 LVAD patients (mean age 49.4 years, 87.3% male, mean LVEF 24.8%), LCTM failed to identify distinct groups when including pre-LVAD PI. Overall, PI markedly declined post-implantation compared to baseline. However, LCTM using only post-LVAD data revealed four distinct PI trajectory classes. Patients with persistently higher PI post-LVAD had a significantly lower incidence of postoperative myocardial infarction/injury (MI) compared to those with persistently low PI (OR 0.21, 95% CI 0.06–0.78, p=0.020). Further logistic regression confirmed this association between post-LVAD PI trajectory and MI occurrence. No significant differences were observed in major adverse events, mortality, or other complications among trajectory groups. Conclusion: In China's largest LVAD cohort, PI trajectory analysis revealed that patients maintaining persistently higher PI post-LVAD had a significantly lower risk of postoperative MI compared to those with persistently low PI.

Authors

Institutions

Publication Details

Journal
Circulation
Published
2025-11-03
DOI
https://doi.org/10.1161/circ.152.suppl_3.4372395
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
OCT
article

Abstract 4372395: Post-LVAD Pulsatility Index Trajectories and Their Clinical Implications: A Retrospective Study of China Multicenter LVAD Cohort

Bingyang Ji, Xingtong Zhou, Haibo Chen, Xiaohu Wang et al.
Circulation
Mechanical Circulatory Support Devices
article

Abstract 4372395: Post-LVAD Pulsatility Index Trajectories and Their Clinical Implications: A Retrospective Study of China Multicenter LVAD Cohort

Bingyang Ji, Xingtong Zhou, Haibo Chen, Xiaohu Wang, Tianlong Wang, Xianqiang Wang
article en

Abstract

Introduction: Left ventricular assist devices (LVAD), widely adopted internationally, have been increasingly implemented in China as a vital life-support strategy for patients with end-stage heart failure. Non-pulsatile blood flow is a defining physiological characteristic of LVAD support. Although an association between reduced pulsatility and adverse outcomes continues to be proposed, robust clinical evidence remains lacking. Methods: Retrospective study of adults (>18 years) receiving LVADs at four Chinese cardiac medical centers (Jan 2019 - Jul 2024) was conducted. Systemic pulsatility index (PI, calculated as pulse pressure divided by the mean arterial pressure) was derived from blood pressure measurements pre-LVAD and serially post-LVAD (days 1, 7, 14, 21, 28). Latent Class Trajectory Modeling (LCTM) identified distinct population groups based on PI trajectories; optimal model selection used lowest Bayesian Information Criterion (BIC), posterior probability >0.8, and group size >2%. The primary outcome was 90-day major adverse events (MAE: mortality or complications). Association between PI trajectories and clinical outcomes were assessed using univariable and multivariable logistic regression (adjusted for age, sex, BSA, pre-MI and INTERMACS level). Results: Among 115 LVAD patients (mean age 49.4 years, 87.3% male, mean LVEF 24.8%), LCTM failed to identify distinct groups when including pre-LVAD PI. Overall, PI markedly declined post-implantation compared to baseline. However, LCTM using only post-LVAD data revealed four distinct PI trajectory classes. Patients with persistently higher PI post-LVAD had a significantly lower incidence of postoperative myocardial infarction/injury (MI) compared to those with persistently low PI (OR 0.21, 95% CI 0.06–0.78, p=0.020). Further logistic regression confirmed this association between post-LVAD PI trajectory and MI occurrence. No significant differences were observed in major adverse events, mortality, or other complications among trajectory groups. Conclusion: In China's largest LVAD cohort, PI trajectory analysis revealed that patients maintaining persistently higher PI post-LVAD had a significantly lower risk of postoperative MI compared to those with persistently low PI.

CirculationVol. 152(Suppl_3)
Chinese Academy of Medical Sciences & Peking Union Medical College (CN), Fu Wai Hospital (CN)
Openalex Percentile: Top 69%
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.