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Healthcare Professionals / Electrophysiology / HeartLogic™ Heart Failure Diagnostic

 
Does multi-sensor prediction of heart-failure facilitate crt optimisation?

Does multi-sensor
prediction of heart-failure
facilitate crt optimisation?

Did you miss or want to revisit our Satellite Symposium
held during the Heart Failure 2019 congress about

Chairperson: Prof. Cecilia Linde (Stockholm,Sweden)

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HeartLogic™ Heart Failure Diagnostic

Introducing HeartLogic, the first and only heart failure diagnostic validated to have high sensitivity, the ability to provide weeks of advanced notice and low alert burden for detecting early signs of worsening heart failure.1 Get the technology and insights that have the power to change lives and define careers. Only from Boston Scientific.
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The Impact of Heart Failure on Quality of Life and Healthcare Economics

 

Physician Perspectives

 
Image of Kenneth Stein, MD, FACC, FHRS

“The launch of HeartLogic really represents a completely new era in how we use implantable devices to help patients, to help the healthcare system…It really changes the landscape entirely.”

Kenneth Stein, MD, FACC, FHRS

How HeartLogic Works

 

Our Multiple Sensors. Your Sixth Sense.
The HeartLogic Heart Failure Diagnostic uses multiple sensors to track physiological trends, combines them into one composite index and sends a proactive alert of potential worsening heart failure.1

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Discover the Multi-Sensor Advantage
 
multisense study
 
See the Data
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Featured Clinical Data

 
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Results From the MultiSENSE Study

HeartLogic Multisensor Algorithm Identifies Patients During Periods of Increased Risk of Heart Failure Events

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Results From the MultiSENSE Study

HeartLogic Multisensor Algorithm Identifies Patients During Periods of Increased Risk of Heart Failure Events

A Hand in a Surgical Glove Holding a Heart Failure Device

Products

Your extraordinary talent. Our extraordinary technology. Explore the Boston scientific CRT-Ds and ICDs that feature HeartLogic..

Explore Products

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

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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.

2. After Hospitalization: A Dartmouth Atlas Report on Post-Acute Care for Medicare Beneficiaries, Sept28th, 2011.

3. Fonarow GC, Abraham WT, Albert NM, et al. Association between performance measures and clinical outcomes for patients hospitalized with heart failure. J AMA. 2007;297(1):61–70. https://www.ncbi.nlm.nih.gov/pubmed/17200476.

4. O’Connor CM, Abraham WT, Albert NM, et al. Predictors of mortality after discharge in patients hospitalized with heart failure: an analysis from the Organized Program to Initiate Lifesaving Treatment in Hospitalized Patients with Heart Failure (OPTIMIZE-HF). Am Heart J. 2008

5. https://circ.ahajournals.org/content/123/8/933?ijkey=ef69d682d9a0210be678bba2f4bd7f3bac3b1239&keytype2=f_ipsecsha

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