The purpose of the study is to develop risk profile for unplanned or urgent healthcare use for symptoms of Heart Failure (HF). Patients with HF are hospitalized frequently to manage increasing symptoms. It is important to identify and treat those at highest risk for readmission.
Schiller Grant BC
Phenotyping Heart Failure Readmission Risk using Wearable Sensors and Machine Learning
Heart failure
All genders
21+
Recruiting now
Overview
Principal Investigator: Jenica Upshaw, MD
Contact Us
Easton Cummins
Study details
Inclusion Criteria
- Stage C/D, NYHA class II-IV left ventricular heart failure.
- Clinical event in prior 12 months (emergent HF treatment, IV diuretics, ED or hospitalization) or at otherwise increased risk for an event.
Exclusion Criteria
- Transplantation or ventricular assist device implantation
- Heart Failure of high output (i.e. hyperthyroidism)
Study Requirements
If you agree to take part in this study, you will be asked to wear wrist sensor for 60 hours per week and record your symptoms on a daily symptom diary over 12-weeks. You also will be asked to complete 3 brief surveys every 30 days. Only the first and last visit will be at the Tufts heart failure clinic. A research assistant will visit you at your home weekly to collect data from the sensor and repeat the surveys every 30 days. A 2-minute walk test will be done at the first and last visit. Questionnaires collect data about heart failure symptoms, quality of life and clinical events. Questionnaires to assess depression and cognition will be done at the first visit only. A final study visit at 90-days will be done to repeat questionnaires and return the sensor. Visits will be scheduled to be as convenient as possible. We expect participation in the study to take 10 hours in total over 90 days (less than an hour per week).