What question did this study set out to answer?

This research aims to evaluate the effectiveness of noninvasive flow waveform assessment for predicting hemodynamic changes in a mock heart failure model.

January 9, 2026ASAIO JournalOpen Access

Noninvasive Outflow Graft Flow Waveform Assessment Using Echocardiography and the HeartMate 3 Snoopy: A Mock Loop Study

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Key result

Noninvasive flow waveform parameters correlated strongly with hemodynamic changes, with diastolic parameters showing r values up to 0.99 and afterload prediction r² of 0.85.

Authors

RDRicardo C. DevezaVictor Chang Cardiac Research Institute MSMina A. Saweris DRD. Robson

Discussion

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Implication

Mock loop study assesses hemodynamics using noninvasive techniques in heart failure models, suggesting predictive capabilities.

Key Points

This research aims to evaluate the effectiveness of noninvasive flow waveform assessment for predicting hemodynamic changes in a mock heart failure model.
Used pulsed wave Doppler interrogation and HeartMate 3 Snoopy system to collect flow waveforms.
Conducted experiments using a fluid-filled biventricular failure mock loop model.
Created 56 unique hemodynamic states by varying pump speeds, hematocrits, preload, and afterload.
Assessed correlation between noninvasive flow waveform and flow probe-derived parameters.
Evaluated predictive capabilities of noninvasive flow waveform parameters for preload and afterload changes.
Achieved moderate correlation for systolic parameters (r range: 0.43–0.81) and strong correlation for diastolic parameters (r range: 0.87–0.99).
Flow waveform amplitude was identified as the best predictor of preload (r² = 0.67).
The multiple linear regression model of NIFW parameters provided strong prediction of afterload (r² = 0.85).
Demonstrated that HeartMate 3 Snoopy and PWOG can effectively generate flow waveform surrogates.

Cite This Study

Deveza et al. (2025) studied this question. Noninvasive flow waveform parameters correlated strongly with hemodynamic changes, with diastolic parameters showing r values up to 0.99 and afterload prediction r² of 0.85.

synapsesocial.com/papers/69612fe730ef6c21f6853fc8 https://doi.org/10.1097/mat.0000000000002610

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January 9, 2026ASAIO JournalOpen Access

Noninvasive Outflow Graft Flow Waveform Assessment Using Echocardiography and the HeartMate 3 Snoopy: A Mock Loop Study

View Full Paper

Ask AI

Bookmark

Key result

Noninvasive flow waveform parameters correlated strongly with hemodynamic changes, with diastolic parameters showing r values up to 0.99 and afterload prediction r² of 0.85.

Authors

RDRicardo C. DevezaVictor Chang Cardiac Research Institute MSMina A. Saweris DRD. Robson

Discussion

Member takes

Implication

Mock loop study assesses hemodynamics using noninvasive techniques in heart failure models, suggesting predictive capabilities.

Key Points

This research aims to evaluate the effectiveness of noninvasive flow waveform assessment for predicting hemodynamic changes in a mock heart failure model.
Used pulsed wave Doppler interrogation and HeartMate 3 Snoopy system to collect flow waveforms.
Conducted experiments using a fluid-filled biventricular failure mock loop model.
Created 56 unique hemodynamic states by varying pump speeds, hematocrits, preload, and afterload.
Assessed correlation between noninvasive flow waveform and flow probe-derived parameters.
Evaluated predictive capabilities of noninvasive flow waveform parameters for preload and afterload changes.
Achieved moderate correlation for systolic parameters (r range: 0.43–0.81) and strong correlation for diastolic parameters (r range: 0.87–0.99).
Flow waveform amplitude was identified as the best predictor of preload (r² = 0.67).
The multiple linear regression model of NIFW parameters provided strong prediction of afterload (r² = 0.85).
Demonstrated that HeartMate 3 Snoopy and PWOG can effectively generate flow waveform surrogates.

Cite This Study

synapsesocial.com/papers/69612fe730ef6c21f6853fc8 https://doi.org/10.1097/mat.0000000000002610

View Full Paper

Ask AI

Bookmark