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  • IQ-ECG STUDY - Improve the Quality of ElectroCardioGrams in Ventricular Assist Device Patients by Using a 20 Hz Filter to Better Assess Electrocardiogram Abnormalities (IQ-ECG) Rochester, Minn.

    The main objective of this study to assess the quality of the ECG readings between different filters from both the GE machine and the Smartheart device. 

  • Prospective Investigation of Palliative and End-of-Life ExpeRiences with ICDs (PIPER-ICD) Study (PIPER-ICD) Rochester, Minn.

    The purpose of this study is to characterize the clinical course of implantable cardioverter-defibrillator (ICD) patients using interviews, EHR review, and remote monitoring to develop a rich dataset containing many outcomes of interest.  

  • TRAjectories and Clinical ExpeRiences of ICD Therapy (TRACER-ICD) Study (TRACER-ICD) Rochester, Minn.

    The TRACER-ICD Study will be a 60 month study (9 months preparation, 45 months to conduct the study, 6 months data analysis and manuscript preparation) in which a prospective cohort of 500 patients receiving ICDs as part of clinical care at 5 sites will be followed for up to 18 months or death, with data collected from patient or proxy interviews (baseline, in-person; quarterly, by telephone) and electronic record reviews (baseline and quarterly), including remote monitoring data. Data collected through these complementary methods will be used to describe the following aspects of patients’ clinical course:

    • focused geriatric assessment (e.g., frailty, cognition, functional status);
    • comorbidities;
    • quality of life;
    • advance care planning;
    • health services use;
    • SDM;
    • ICD-recorded physical activity (minutes/day).
    • Factors associated with death and poor quality of life (Kansas City Cardiomyopathy Questionnaire [KCCQ] score < 60 or decline by > 10) will be identified. Group-based trajectory modeling will be used to identify clusters of patients with distinct trajectories of functional status and quality of life following ICD implantation (Aim 1). We will validate our semi-competing risks model to jointly assess ICD shocks and survival (Aim 2). Lastly, we will combine quantitative data on SDM experiences from the main cohort with semi-structured interviews of cardiologists and patients to evaluate strategies for incorporating personalized profiling into SDM (Aim 3).

Closed for Enrollment

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