ALgorithm using LINQ Sensors for EValuatIon And TreatmEnt of Heart Failure (ALLEVIATE-HF)

About this Study

The purpose of the study is to gain experience with implementation of a patient management pathway including protocolized PRN medication interventions in subjects with a “high” heart failure risk status, which is derived from an integrated device diagnostic-based risk stratification algorithm based on data collected by the Reveal LINQ device. Additionally, data collected in observational subjects will be utilized to estimate the sensitivity and false detection rate of the heart failure risk status algorithm for prediction of heart failure events

Sponsor Protocol ID:MDT19005
IRB Number:2020V0235
Pending Activation
Interventional
Observational/Not Applicable
December 21, 2020
Eligibility Criteria
18 years old
Both Male and Female
No
No
No

Inclusion CriteriaPatient is 18 years of age or older 

• Patient has a life expectancy of 12 months or more

Exclusion Criteria
  • Patient has had a heart transplant or is currently on heart transplant list
  • Patients on chronic renal dialysis

Categories Click category to view its trials.
Heart Health
Participating Locations
University Heart
University Hospital
Contact Information
Contact Name: Connie Watson
Phone Number: 601-815-8925
Email: cnwatson@umc.edu
Principal Investigator:Long, Robert C, M.D.
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