Remote monitoring data from cardiac implantable electronic devices predicts all-cause mortality release_qqletjtw3vbgfkw42y6rfut6de

by fozia ahmed, Camilla Sammut-Powell, Chun Shing Kwok, Tricia Tay, Manish Motwani, Glen P Martin, Joanne K Taylor

Published in Europace by Oxford University Press (OUP).

2021   Volume 24, Issue 2, p245-255

Abstract

<jats:title>Abstract</jats:title> <jats:sec> <jats:title>Aims</jats:title> To determine if remotely monitored physiological data from cardiac implantable electronic devices (CIEDs) can be used to identify patients at high risk of mortality. </jats:sec> <jats:sec> <jats:title>Methods and results</jats:title> 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. &amp;lt;4.0%; P = 0.03. Experiencing any high-risk episode was associated with a substantially increased risk of death [odds ratio (OR): 3.07, 95% confidence interval (CI): 1.57–6.58, P = 0.002]. Furthermore, each high-risk episode ≥14 consecutive days was associated with increased odds of death (OR: 1.26, 95% CI: 1.06–1.48; P = 0.006). </jats:sec> <jats:sec> <jats:title>Conclusion</jats:title> 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. </jats:sec>
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