Performance of a multi-sensor implantable defibrillator algorithm for heart failure monitoring in the presence of atrial fibrillation

EP Europace Journal

1 September 2023
Organised by: Logo
ESC Journals ARRHYTHMIAS AND DEVICE THERAPY HEART FAILURE Chronic Heart Failure Atrial Fibrillation (AF) Device Therapy

Abstract

AbstractAims

The HeartLogic Index combines data from multiple implantable cardioverter defibrillators (ICDs) sensors and has been shown to accurately stratify patients at risk of heart failure (HF) events. We evaluated and compared the performance of this algorithm during sinus rhythm and during long-lasting atrial fibrillation (AF).

Methods and results

HeartLogic was activated in 568 ICD patients from 26 centres. We found periods of ≥30 consecutive days with an atrial high-rate episode (AHRE) burden <1 h/day and periods with an AHRE burden ≥20 h/day. We then identified patients who met both criteria during the follow-up (AHRE group, n = 53), to allow pairwise comparison of periods. For control purposes, we identified patients with an AHRE burden <1 h throughout their follow-up and implemented 2:1 propensity score matching vs. the AHRE group (matched non-AHRE group, n = 106). In the AHRE group, the rate of alerts was 1.2 [95% confidence interval (CI): 1.0–1.5]/patient-year during periods with an AHRE burden <1 h/day and 2.0 (95% CI: 1.5–2.6)/patient-year during periods with an AHRE-burden ≥20 h/day (P = 0.004). The rate of HF hospitalizations was 0.34 (95% CI: 0.15–0.69)/patient-year during IN-alert periods and 0.06 (95% CI: 0.02–0.14)/patient-year during OUT-of-alert periods (P < 0.001). The IN/OUT-of-alert state incidence rate ratio of HF hospitalizations was 8.59 (95% CI: 1.67–55.31) during periods with an AHRE burden <1 h/day and 2.70 (95% CI: 1.01–28.33) during periods with an AHRE burden ≥20 h/day. In the matched non-AHRE group, the rate of HF hospitalizations was 0.29 (95% CI: 0.12–0.60)/patient-year during IN-alert periods and 0.04 (95% CI: 0.02–0.08)/patient-year during OUT-of-alert periods (P < 0.001). The incidence rate ratio was 7.11 (95% CI: 2.19–22.44).

Conclusion

Patients received more alerts during periods of AF. The ability of the algorithm to identify increased risk of HF events was confirmed during AF, despite a lower IN/OUT-of-alert incidence rate ratio in comparison with non-AF periods and non-AF patients.

Clinical Trial Registration

http://clinicaltrials.gov/Identifier: NCT02275637

Contributors

Giuseppe Boriani
Giuseppe Boriani

Author

Modena Polyclinic Modena University Hospital Modena , Italy

Matteo Bertini
Matteo Bertini

Author

University Hospital of Ferrara Ferrara , Italy

Luca Santini
Luca Santini

Author

G. B. Grassi Hospital Rome , Italy

Vincenzo Ezio Santobuono
Vincenzo Ezio Santobuono

Author

University of Bari Bari , Italy

Raimondo Calvanese
Raimondo Calvanese

Author

Hospital of the Sea Naples , Italy

Amato Santoro
Amato Santoro

Author

University Hospital of Siena Siena , Italy

Antonio Rapacciuolo
Antonio Rapacciuolo

Author

University of Naples Federico II Naples , Italy

Matteo Ziacchi
Matteo Ziacchi

Author

IRCCS Sant'Orsola Polyclinic Bologna , Italy

Giuseppe Arena
Giuseppe Arena

Author

Apuane General Hospital Massa , Italy

Jacopo F Imberti
Jacopo F Imberti

Author

Modena Polyclinic Modena University Hospital Modena , Italy

Sergio Valsecchi
Sergio Valsecchi

Author

Boston Scientific Milan , Italy

Antonio D’Onofrio
Antonio D’Onofrio

Author

AORN Ospedali dei Colli - Monaldi Hospital Naples , Italy

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