Baylor Scott & White Health research institute
Dallas, Texas, 75246, United States
NCT Number: NCT04493346
In individuals needing a left ventricular assist device (LVAD), right heart failure (RHF) is a serious complication post-surgery, associated with worsened outcomes including mortality. However, predictors of decompensation after LVAD are not well established. Liver dysfunction pre-LVAD has been shown to be associated with poor outcomes post-LVAD, but the interplay between liver abnormalities and RHF post-LVAD is not well characterized. Liver stiffness (LS) is a measure associated with certain types of liver abnormalities (e.g., liver fibrosis; cirrhosis).
Thus, we hypothesize that elevated LS measured by SWE is associated with increased morbidity and mortality in patients undergoing LVAD implantation and yields increased need for advanced postoperative HF therapies including the use of right ventricular assist devices (RVAD) for the management of RHF.
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Notify Me18 year and older
All sexes
Observational
Dallas, Texas, 75246, United States
PRESTUDY ASSESSMENTS Note: Assessments that are part of the standard of care and obtained within 3-4 weeks of prestudy assessment visit, are acceptable as part of the screening tests. Results of such tests will be acceptable even if obtained prior to the execution of the Informed Consent.
Prior to entry into the study, the following assessments will be performed to determine if patient is eligible to continue in the study as per section 4.2 and 4.3 describing the inclusion and exclusion criteria for the study.
ASSESSMENTS DURING STUDY
The following evaluations will be performed during the study:
Note: Patients who die or withdraw consent are considered off study and no further information will be collected.
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
Time frame: 24 months
An assessment of liver stiffness will be performed by shear wave elastography using a Supersonic Imagine Aixplorer ShearWave™ ultrasound machine.
Time frame: 30 days
We will perform logistic regression to determine the optimal cutpoint of LS to predict mortality at a given time point, provided the sample size is adequate.
Time frame: 1 year
We will perform logistic regression to determine the optimal cutpoint of LS to predict mortality at a given time point, provided the sample size is adequate.
Baylor Research Institute
Other
Shear Wave Elastography of the Liver and Predictions of Morbidity and Mortality in Subjects Undergoing Advanced Heart Failure Therapy
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