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Electrophysiology / HeartLogic™ Heart Failure Diagnostic / Clinical Data / MANAGE-HF Study

About MANAGE-HF1,2

Overview

The MANAGE-HF study is a multi-center, global, prospective, open-label trial which enrolled 200 patients implanted with a CRT-D or ICD enabled with the HeartLogic™ Heart Failure Diagnostic.

Goals

The goal of MANAGE-HF was to evaluate and optimize the integration of HeartLogic into clinical practice for the treatment of heart failure (HF). 

Conclusions

HeartLogic was integrated into clinical care safely and early treatment augmentation was associated with more rapid recovery of the HeartLogic index compared to patients with no change in treatment following an alert.

 
Watch Adrian Hernandez, MD, MHS highlight the results of MANAGE-HF.
Hernandez video
 

 

Safe Integration into Clinical Practice

 

MANAGE-HF study demonstrated that the HeartLogic multisensor algorithm was safely integrated into clinical practice. In 333 patient-years of follow-up:1

  • 74% of alert cases prompted augmentation of HF medications relative to pre-alert dose
  • HF medications were augmented relative to pre-alert dose within 7 days of 54% of weekly alerts
  • 89% of HF medications augmented within seven days of weekly alerts were diuretics
  • Only five serious adverse events* (SAEs) in relation to alert-prompted medication changes were reported, which translates to 0.015 SAEs per patient-year

The low number of SAEs in the study suggests that alert-prompted medication changes did not result in overly aggressive heart failure management practices.

*SAEs above were classified as abnormal laboratory values, renal insufficiency/failure, dizziness, or syncope in response to an alert-prompted medication change.1

 

 

Early HF Treatment Augmentation

 

Early decongestive treatment in response to an alert was associated with more rapid recovery of the HeartLogic index compared to patients with no change in treatment following an alert. In addition, HeartLogic was associated with lower hospitalization rates and N-terminal pro b-type natriuretic peptide (NTproBNP) levels.1,2

MANAGE-HF: Study Highlights

  • HeartLogic was associated with a 67% reduction in heart failure hospitalizations compared to pre-study, 12-month HF hospitalization rate2
  • NTproBNP levels significantly decreased from median 1316 pg/mL at baseline to 743 pg/mL at 12 months (p<0.001)1
  • 1.76 alert case/patient-year shown in MANAGE-HF1 was consistent with expectations based on alert case rate previously reported in MultiSENSE3
Icon of three patients standing together.
200 PATIENTS

Enrolled

Icon of a clock with the number “333” to illustrate 333 patient-years of follow-up.
333 PATIENT-YEARS

Of Follow-Up

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).
 
Watch Carolyn Lam, MD, PhD discuss the MANAGE-HF Alert Management Guide including how investigators suggest responding to HeartLogic alerts.
Watch Carolyn Lam, MD, PhD discuss the MANAGE-HF Alert Management Guide including how investigators suggest responding to HeartLogic alerts.
 
 

 
 
 
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Electrophysiology Insights
Find out how HeartLogic helps you see patients’ physiologic responses to arrhythmic and pacing changes.
Real-World Evidence
See how HeartLogic consistently detected HF events in real-world analyses of nearly 500 patients in four studies.
 

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

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RESONATE™ CRT-D: Indications, Safety and Warnings

References

1. Hernandez AF, Albert NM, Allen LA et al. Multiple cardiac sensors for management of heart failure (MANAGE-HF)—Phase I evaluation of the integration and safety of the HeartLogic multisensor algorithm in patients with heart failure. JCF 2022;28(8):1245-1254.
https://doi.org/10.1016/j.cardfail.2022.03.349.

2. Hernandez AF, Albert NM, Allen LA et al. Multiple cardiac sensors for management of heart failure (MANAGE-HF) Phase I results. Abstract presented/published at: ESC-HF 2021. June 29-July 1, 2021. Virtual.  https://onlinelibrary.wiley.com/doi/epdf/10.1002/ejhf.2297 (Pg 159)

3. 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. https://www.jacc.org/doi/full/10.1016/j.jchf.2016.12.011

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