Remote monitoring data from cardiac implantable electronic devices predicts all-cause mortality
| Autor: | Glen P. Martin, Chun Shing Kwok, Joanne Kathryn Taylor, Manish Motwani, Fozia Z Ahmed, Camilla Sammut-Powell, Tricia Tay |
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| Rok vydání: | 2021 |
| Předmět: |
Adult
Tachycardia medicine.medical_specialty Ventricular tachycardia Risk Factors Physiology (medical) Internal medicine Atrial Fibrillation Risk of mortality medicine Humans Cardiac Resynchronization Therapy Devices Heart Failure Framingham Risk Score business.industry Mortality rate Atrial fibrillation Odds ratio medicine.disease Defibrillators Implantable Heart failure Cardiology Electronics medicine.symptom Cardiology and Cardiovascular Medicine business |
| Zdroj: | EP Europace. 24:245-255 |
| ISSN: | 1532-2092 1099-5129 |
| DOI: | 10.1093/europace/euab160 |
| Popis: | Aims To determine if remotely monitored physiological data from cardiac implantable electronic devices (CIEDs) can be used to identify patients at high risk of mortality. Methods and results This study evaluated whether a risk score based on CIED physiological data (Triage-Heart Failure Risk Status, ‘Triage-HFRS’, previously validated to predict heart failure (HF) events) can identify patients at high risk of death. Four hundred and thirty-nine adults with CIEDs were prospectively enrolled. Primary observed outcome was all-cause mortality (median follow-up: 702 days). Several physiological parameters [including heart rate profile, atrial fibrillation/tachycardia (AF/AT) burden, ventricular rate during AT/AF, physical activity, thoracic impedance, therapies for ventricular tachycardia/fibrillation] were continuously monitored by CIEDs and dynamically combined to produce a Triage-HFRS every 24 h. According to transmissions patients were categorized into ‘high-risk’ or ‘never high-risk’ groups. During follow-up, 285 patients (65%) had a high-risk episode and 60 patients (14%) died (50 in high-risk group; 10 in never high-risk group). Significantly more cardiovascular deaths were observed in the high-risk group, with mortality rates across groups of high vs. never-high 10.3% vs. Conclusion Remote monitoring data from CIEDs can be used to identify patients at higher risk of all-cause mortality as well as HF events. Distinct from other prognostic scores, this approach is automated and continuously updated. |
| Databáze: | OpenAIRE |
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