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Electrophysiology / HeartLogic™ Heart Failure Diagnostic / Clinical Data / Electrophysiology Insights

Personalized Physiological Insights

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

 
 

HeartLogic and Atrial Fibrillation (AF) Events

 
HeartLogic Heart Failure Diagnostic’s device-based sensors reflect worsening of heart failure (HF) status preceding and following the onset of atrial fibrillation events.

Heart Failure Progression Before and After AF

Icons showing the HeartLogic index rises as S3 heart sounds, respiration & night heart rate go up, & S1 heart sounds & impedance go down.

Relationship Between Atrial Fibrillation and HeartLogic Index1

Chart showing the change in the HeartLogic index in comparison to the days from AF progression.
 
Physician Perspectives
Listen to HeartLogic experts discuss how they integrate heart failure care into daily EP practice.

Listen to HeartLogic experts discuss how they integrate heart failure care into daily EP practice.

 
BiV Pacing Percentage2
Two arrows showing that as the BiV pacing percentage decreased, the HeartLogic index increased.

HeartLogic Sensors Reflect Sub-Optimal BiV Pacing % in CRT-D Patients2

  • Minor sub-optimal BiV pacing percentages (~2%) were associated with progressively worse sensor and increasing HeartLogic index values.
  • The proportion of days in HeartLogic alert was ~2X higher with <90% BiV pacing.

Read the abstract on page 370 for more information.

RV Pacing Percentage 3
Infographic showing that when RV pacing is greater than 10%, the HeartLogic index increases significantly.

HeartLogic Sensors Reflect the Adverse Impact of RV Pacing in ICD Patients3

  • Increased RV pacing percentage progressively worsened individual sensor values.
  • HeartLogic index was significantly worse for RV Pacing >10%.
  • HeartLogic may identify patients vulnerable to RV pacing.

Read the abstract on pages S58-S59 for more information.

 
 
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MultiSENSE Study
Explore the data showing that HeartLogic provides a sensitive and timely predictor of impending HF events.4
MANAGE-HF Study
Get results from this global trial evaluating the integration of HeartLogic into clinical practice.
 

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References

1.  Capucci A, Healey JS. Temporal association of atrial fibrillation with device-based heart failure status in patients with CRT. Oral presentation and LBCT presented at: EHRA Congress; March 2019, Lisbon, Portugal.

2. Varma N, Cao M, Schloss EJ, Ahmed R, Stolen C, Boehmer JP. Progressive worsening in device base failure sensors measurements are associated with sub-optimal BiV pacing percentages in CRT-D patients. J Heart Fail. 2019;21(Suppl. S1):370. doi: 10.1002/ejhf.1488.

3. Varma N, Stein KM, Thakur PH, Jones PW, Ahmed R, J Boehmer J. Multiparametric analysis of device based physiological sensors may identify ICD patients reacting adversely to right ventricular pacing [abstract]. Heart Rhythm. 2019;16(5):S58-S59.

4. 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):216-225. doi: 10.1016/j.jchf.2016.12.011

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