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Electrophysiology / HeartLogic™ Heart Failure Diagnostic / Case Studies
 

HeartLogic Case Studies

 
Every patient needs you—some more than others. Explore the heart failure cases below to see how HeartLogic can send you a proactive alert of a potential heart failure event weeks in advance1 to help ensure the patients who need your attention get it. 

Results of case studies are not necessarily predictive of all cases.

 

Worsening Heart Failure Due to Conducted AT/AF

Learn how the multi-sensor approach of HeartLogic was more predictive of worsening heart failure in a 70-year-old female patient than the presence of conducted AT/AF. This life-changing technology gave her clinician the actionable information needed to adjust medications and improve the patient’s outcome.


HeartLogic Alert Preceded Clinic Visit By 3 Weeks

Discover how HeartLogic led to more proactive, patient-centered care by detecting worsening heart failure three weeks before the patient was seen in-clinic with visible symptoms. In addition, the patient began complying with remote monitoring and achieved a 30-pound weight loss.


HeartLogic Allows Intense Remote Monitoring

Explore the case of a 68-year-old woman with a history of dilated cardiomyopathy, severe mitral regurgitation, second-degree heart block and left bundle branch block. Thanks to HeartLogic, her care team was able to take a big step toward even more proactive care in this complex cardiac case.


HeartLogic Sensors Provide Objective Measure of HF Physiology

See how a highly elevated HeartLogic index led emergency department (ED) physicians to reverse their decision to discharge a patient. By providing valuable insights about the patient’s condition, this proactive technology helped physicians change the treatment plan and the patient was discharged after being treated for worsening heart failure.


HeartLogic Detects Worsening HF Due to Patient Non-Compliance

Discover how a HeartLogic alert gave the care team of a 30-year-old patient with a history of medication non-compliance more time to adjust treatment, improve the outcome and turn reactive treatment into proactive care.


HeartLogic Enables Proactive Care in the Outpatient Setting

Find out how HeartLogic alerted physicians of worsening heart failure (HF) a day after a patient’s follow-up visit where no HF symptoms were reported. As a result of this proactive alert, the patient was seen by an interventional cardiologist the following day, medications were adjusted and the HeartLogic index returned to baseline.


Increasing HeartLogic Alert Level Leads to Proactive Intervention

Find out how an increasing HeartLogic alert level helped lead to proactive intervention and rapid resolution of heart failure symptoms in this case study of an 85-year-old male patient with multiple cardiac issues.

 

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Physician Perspectives

 
 
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AAHFN 2019: HeartLogic™ – Clinical Evidence and Practical Consideration

Hear our distinguished faculty present extensive HeartLogic data and talk about integrating HeartLogic into their workflow.

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How to Manage Heart Failure in the Real World

John Boehmer, MD, Heart Failure Program Director, Penn State Hershey Medical Center, discusses the potential impact of HeartLogic on real-world patient cases.

 
Jagmeet Singh, MD, PhD

“I think having a measure that can help risk stratify these patients, like HeartLogic, will help us concentrate on which patients are more susceptible to be admitted with heart failure hospitalization.”

- Jagmeet Singh, MD, PhD

 
 

Explore more

 
 
resources1

HeartLogic Resources

Explore clinical data, workflow tools and other resources to help you implement and use HeartLogic in your practice.

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Multiple Sensors to Help Triage Your Patients

See how HeartLogic combines heart sounds, thoracic impedance, respiration, heart rate and activity into one actionable alert.

 

 

LATITUDE NXT™ Remote Patient Management System: Indications, Safety and Warnings

Resonate™ ICD: Indications, Safety and Warnings

Resonate™ CRT-D: Indications, Safety and Warnings

 

References

1. Boehmer JP, Hariharan R, Devecchi FG, et al. A Multisensor algorithm predicts heart failure events in patients with implanted devices: results from the MultiSENSE study. JACC Heart Fail. 2017 Mar;5(3):216-25.

Results from the case studies are not necessarily predictive of results in other cases. Results in other cases may vary.
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