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John P. Boehmer

Researcher at Penn State Milton S. Hershey Medical Center

Publications -  162
Citations -  16317

John P. Boehmer is an academic researcher from Penn State Milton S. Hershey Medical Center. The author has contributed to research in topics: Heart failure & Cardiac resynchronization therapy. The author has an hindex of 42, co-authored 145 publications receiving 15087 citations. Previous affiliations of John P. Boehmer include University of Alabama at Birmingham & Rush University Medical Center.

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Small decreases in biventricular pacing percentages are associated with multiple metrics of worsening heart failure as measured from a cardiac resynchronization therapy defibrillator.

TL;DR: In this article, the authors evaluated whether small incremental decreases in BiV pacing percentages were associated with worse measures, related to chronic heart failure, using individual sensor trends and the HeartLogic composite index.
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Nonhemodynamic parameters from implantable devices for heart failure risk stratification.

TL;DR: Parameters such as thoracic impedance, heart sounds, and respiratory rate and patterns may further refine prognostic information available from ICDs and combine parameters may provide a better way to interpret and use the available information.
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1 A Multi-Sensor Algorithm Predicts Heart Failure Events in Patients with Implanted Devices: Results from the MultiSENSE Study

TL;DR: The HeartLogic multi-sensor HF diagnostic algorithm significantly exceeded its pre-specified endpoints demonstrating compelling performance for worsening HF detection.
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Therapeutic implications of implantable device-based monitoring of patients with heart failure

TL;DR: None of the newer technologies have been shown to be feasible and potentially helpful, but outcomes data showing reductions in morbidity and mortality are currently limited, and all must be used in combination with clinical findings to provide effective disease management.
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Multiparameter diagnostic sensor measurements in heart failure patients presenting with SARS-CoV-2 infection.

TL;DR: In this article, a retrospective analysis explores patterns of changes in daily measurements by implantable sensors in 10 patients with Cov-19 and compares these findings with those observed prior to COVID-19 (Cov-19) and pneumonia.