HeartLogic Clinical Data

Explore clinical data and real-world evidence demonstrating how HeartLogic Heart Failure Diagnostic can help give you the actionable information you need to change patients’ lives—before you expect it.
 

 

Time Course of HF Decompensation1

 

Emulating Clinical Assessment via Physiologic Sensor Monitoring

Timeline showing an example time course of heart failure decompensation.
  

  

MultiSENSE Study Results2

 
The MultiSENSE study assessed more than 900 patients and validated that the HeartLogic algorithm provides a sensitive and timely predictor of impending heart failure decompensation.
Icon of a heart.

70% SENSITIVITY

in Detecting Heart Failure Events

Icon of a calendar.

A MEDIAN OF 34 DAYS

Advance Notice of Worsening Heart Failure

Icon of an exclamation point inside a triangle.

<2 TOTAL ALERTS

Per Patient Per Year

  

  

MANAGE-HF Study3

 
Phase I of the MANAGE-HF study enrolled 200 patients implanted with a CRT-D or ICD enabled with HeartLogic. The study found that HeartLogic was safely integrated into clinical practice and associated with lower natriuretic peptide levels and hospitalization rates.4
: Icon of a bar chart with decreasing values and an arrow pointing down.

MORE RAPID RECOVERY

Of HeartLogic Index

Icon of three test tubes in a stand.

LOWER

NTproBNP Levels

Icon of a circle with 67% in the middle.

67% REDUCTION

In HF Hospitalizations Associated with HeartLogic*

*Compared with pre-study hospitalization rate (12 months).
  

  

Electrophysiology Insights

 
HeartLogic uses automated intelligence to streamline your ability to see each patient’s physiologic response to arrhythmic and pacing changes.

Relationship Between Atrial Fibrillation and HeartLogic Index5

Chart showing the change in the HeartLogic index in comparison to the days from AF progression.

HeartLogic May Detect Sub-Optimal BiV Pacing and Poor Physiologic Response6

Two arrows showing that as the BiV pacing percentage decreased, the HeartLogic index increased.

HeartLogic May Identify Patients Vulnerable to RV Pacing7
 

Infographic showing that when RV pacing is greater than 10%, the HeartLogic index increases significantly.
  

  

Real-World Evidence

 
In real-world analyses of nearly 500 patients across four studies, HeartLogic was shown to provide consistent heart failure detection performance with low unexplained alert rates.
  

Real-World Results Compared to Validation Data Set

  MultiSENSE2
(Validation Data Set)
Capucci
et al.5

(ESC HF 2019)
Santini
et al.8

(Clin Card 2020)
RE-HEART
Phase I9

(ESC HF 2020)
RE-HEART
Phase II10

(ESC HF 2020)
SENSITIVITY 70% 100%* 69%* N/A N/A
UNEXPLAINED ALERT RATE 1.47 0.41 0.37 0.25 0.13
  

Highlights from Real-World Studies

Circle with 80% in the middle.

80% OF ALERTS

Provided New Information to Clinicians8

Icon of calendar showing that HeartLogic alert preceded heart failure symptoms by a median of 12 days.

ALERTS PRECEDED HF SYMPTOMS

by a Median of 12 Days5

Icon of calendar showing that HeartLogic alert preceded heart failure events by a median of 38 days.

ALERTS PRECEDED HF EVENTS

by a Median of 38 Days5

HeartLogic reduces hospitalisations for decompensated heart failure and significantly reduces the costs per patient for the healthcare system, as described in the Heggermont et al publication.11
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