ICD-measured heart sounds and their correlation with echocardiographic indexes of systolic and diastolic function

Calò, Leonardo; Capucci, Alessandro; Santini, Luca; Pecora, Domenico; Favale, Stefano; Petracci, Barbara; Molon, Giulio; Bianchi, Valter; Cipolletta, Laura; Ruvo, Ermenegildo De; Ammirati, Fabrizio; Greca, Carmelo La; Campari, Monica; Valsecchi, Sergio; D’Onofrio, Antonio

doi:10.1007/s10840-019-00668-y

Cited by 18 publications

(20 citation statements)

References 29 publications

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Section: Studies Published To Datementioning

confidence: 99%

“…The results of two large prospective multicentre registries were published in 2020 [39,40]. Calò and colleagues aimed to evaluate the correlation between the S1 and S3 as measured by the CIED and echocardiographic indexes of systolic and diastolic left ventricular function [39]. CIED measured S3 was able to detect a restrictive filling pressure pattern (a surrogate for elevated left ventricular filling pressures), with 85% sensitivity and 82% specificity in 22 cases that were "in alert" [39].…”

Section: Studies Published To Datementioning

confidence: 99%

“…Calò and colleagues aimed to evaluate the correlation between the S1 and S3 as measured by the CIED and echocardiographic indexes of systolic and diastolic left ventricular function [39]. CIED measured S3 was able to detect a restrictive filling pressure pattern (a surrogate for elevated left ventricular filling pressures), with 85% sensitivity and 82% specificity in 22 cases that were "in alert" [39]. CIED measured S1 was able to detect a poor LVEF (defined as EF < 35%) with a 28% sensitivity and a 88 % specificity in 22 cases [39].…”

Section: Studies Published To Datementioning

confidence: 99%

“…CIED measured S3 was able to detect a restrictive filling pressure pattern (a surrogate for elevated left ventricular filling pressures), with 85% sensitivity and 82% specificity in 22 cases that were "in alert" [39]. CIED measured S1 was able to detect a poor LVEF (defined as EF < 35%) with a 28% sensitivity and a 88 % specificity in 22 cases [39].…”

Section: Studies Published To Datementioning

confidence: 99%

“…The HeartLogic TM index alerts 34-38 days prior to a heart failure event in need of hospitalisation and 12 days before a minor clinical heart failure event [32,33]. A correlation between the CIED measured S3 and S1 and the echocardiographic surrogates of decompensation and progression of heart failure-a restrictive filling pattern and a poor left ventricular ejection fraction have been made [39]. These studies have validated the HeartLogic TM index in predicting fluid retention and provided us with insights into the scope of functionalities of the algorithm.…”

Section: Studies Published To Datementioning

confidence: 99%

See 4 more Smart Citations

Early Detection of Fluid Retention in Patients with Advanced Heart Failure: A Review of a Novel Multisensory Algorithm, HeartLogicTM

Feijen

Egorova

Beeres

et al. 2021

Sensors

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Heart failure (HF) hospitalisations due to decompensation are associated with shorter life expectancy and lower quality of life. These hospitalisations pose a significant burden on the patients, doctors and healthcare resources. Early detection of an upcoming episode of decompensation may facilitate timely optimisation of the ambulatory medical treatment and thereby prevent heart-failure-related hospitalisations. The HeartLogicTM algorithm combines data from five sensors of cardiac implantable electronic devices into a cumulative index value. It has been developed for early detection of fluid retention in heart failure patients. This review aims to provide an overview of the current literature and experience with the HeartLogicTM algorithm, illustrate how the index can be implemented in daily clinical practice and discuss ongoing studies and potential future developments of interest.

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Section: Studies Published To Datementioning

confidence: 99%

Section: Studies Published To Datementioning

confidence: 99%

Section: Studies Published To Datementioning

confidence: 99%

Section: Studies Published To Datementioning

confidence: 99%

Section: Studies Published To Datementioning

confidence: 99%

See 3 more Smart Citations

Early Detection of Fluid Retention in Patients with Advanced Heart Failure: A Review of a Novel Multisensory Algorithm, HeartLogicTM

Feijen

Egorova

Beeres

et al. 2021

Sensors

View full text Add to dashboard Cite

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Use of a novel implantable cardioverter‐defibrillator multisensor algorithm for heart failure monitoring in a COVID‐19 patient: A case report

Bontempi

Cerini

Salghetti

et al. 2021

Clinical Case Reports

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Decongestive treatment adjustments in heart failure patients remotely monitored with a multiparametric implantable defibrillators algorithm

Guerra

D’Onofrio

Ruvo

et al. 2022

Clinical Cardiology

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Aims: HeartLogic algorithm combines data from multiple implantable defibrillators (ICD)-based sensors to predict impending heart failure (HF) decompensation. A treatment protocol to manage algorithm alerts is not yet known, although decongestive treatment adjustments are the most frequent alert-triggered actions reported in clinical practice. We describe the implementation of HeartLogic for remote monitoring of HF patients, and we evaluate the approach to diuretic dosing and timing of the intervention in patients with device alerts. Methods:The algorithm was activated in 229 ICD patients at eight centers. The median follow-up was 17 months (25th-75th percentile: 11-24). Remote data reviews and patient phone contacts were undertaken at the time of HeartLogic alerts, to assess the patient's status and to prevent HF worsening. We analyzed alert-triggered augmented HF treatments, consisting of isolated increases in diuretics dosage.Results: We reported 242 alerts (0.8 alerts/patient-year) in 123 patients, 137 (56%) alerts triggered clinical actions to treat HF. The HeartLogic index decreased after the 56 actions consisting of diuretics increase. Specifically, alerts resolved more quickly when the increases in dosing of diuretics were early rather than late: 28 days versus 62 days, p < .001. The need of hospitalization for further treatments to resolve the alert condition was associated with higher HeartLogic index values on the day of the diuretics increase (odds ratio: 1.11, 95% CI: 1.02-1.20, p = .013) and with late interventions (odds ratio: 5.11, 95% CI: 1.09-24.48, p = .041). No complications were reported after drug adjustments.

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ICD-measured heart sounds and their correlation with echocardiographic indexes of systolic and diastolic function

Cited by 18 publications

References 29 publications

Early Detection of Fluid Retention in Patients with Advanced Heart Failure: A Review of a Novel Multisensory Algorithm, HeartLogicTM

Early Detection of Fluid Retention in Patients with Advanced Heart Failure: A Review of a Novel Multisensory Algorithm, HeartLogicTM

Use of a novel implantable cardioverter‐defibrillator multisensor algorithm for heart failure monitoring in a COVID‐19 patient: A case report

Decongestive treatment adjustments in heart failure patients remotely monitored with a multiparametric implantable defibrillators algorithm

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