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Published on: June 12, 2021
Validation of the Hemodynamic Classification System for Hemodynamic-Related Events in Patients With Durable Left
Guglielmo Gallone1,2,3, Luca Baldetti4, Mailen Konicoff1
1Cardiothoracic Transplantation Harefield Hospital, Guy's and St Thomas' NHS Foundation Trust London United Kingdom.
The dLVAD Hemodynamic Classification System effectively identifies patients at risk for right heart failure and aortic insufficiency. This classification predicts adverse outcomes, aiding in targeted strategies for durable left ventricular assist device support.
Area of Science:
- Cardiology
- Medical Devices
- Clinical Research
Background:
- Durable left ventricular assist device (dLVAD) physiology increases risk for right heart failure (RHF) and aortic insufficiency (AI), termed hemodynamic-related events (HDREs).
- A novel dLVAD Hemodynamic Classification System was proposed to categorize these HDREs.
Purpose of the Study:
- To validate the proposed dLVAD Hemodynamic Classification System for HDREs.
- To assess the prognostic implications of RHF and AI HDREs and their phenotypes.
Main Methods:
- RHF and AI HDREs were adjudicated and staged using the Hemodynamic Classification System at 6 months post-dLVAD implantation.
- The primary outcome was a composite of heart failure hospitalization or cardiovascular death from 6 to 24 months post-implantation.
- Predictors of RHF and AI HDREs were analyzed from pre-dLVAD assessment data.
Main Results:
- Among 183 patients, 29.0% developed RHF HDRE and 16.0% developed AI HDRE at 6 months.
- RHF HDRE (aHR, 2.69) and AI HDRE (aHR, 4.21) were independently associated with the primary outcome.
- Increasing stages of RHF and AI HDREs showed a graded increase in adverse outcomes.
Conclusions:
- The dLVAD Hemodynamic Classification System was validated as a tool for identifying patient clusters with significant prognostic implications.
- Adoption of this system may facilitate targeted strategies to mitigate HDREs and improve long-term dLVAD outcomes.
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