Archives of cardiovascular diseases · 2018
Contractibility sensor signal evolution predicts cardiovascular events in patients with cardiac resynchronization therapy.
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Garcia Rodrigue, Guenancia Charles, Le Gal François, Rehman Michaela, Tao Vincent, Christiaens Luc, Ingrand Pierre, Degand Bruno
Аннотация
BACKGROUND: While a multicentre trial has demonstrated that the SonR™ contractibility sensor is as effective as echocardiography-guided optimization at improving response to cardiac resynchronization therapy, an association between SonR™ values and clinical endpoints has not been established.
AIMS: The primary objective was to assess the predictive value of SonR™ signal evolution regarding cardiovascular events in patients implanted with a cardiac resynchronization therapy device. The secondary objective was to evaluate whether SonR™ signal evolution was associated with cardiovascular death.
METHODS: All patients with a SonR™ system implanted between 2012 and 2016 were included in this retrospective study. SonR™ signal evolution was calculated over the first 6 months after implantation: ([month 6 value-month 1 value]/month 1 value)*100. The primary endpoint (cardiovascular events) was a composite of cardiovascular death, hospitalization for acute heart failure or ventricular arrhythmia.
RESULTS: Seventy-four patients (median age 67 years; 81% men) were followed up over a median 20 (13; 29) months. Cumulative incidence function showed that SonR™ signal evolution was predictive of cardiovascular events (threshold<10.70%; P=0.023) and predictive of cardiovascular death (P=0.0018). After multivariable analysis, SonR™ signal evolution was independently associated with the onset of cardiovascular events (hazard ratio: 4.03, 95% confidence interval: 1.31-12.43; P=0.015), even after adjustment for left bundle branch block and chronic kidney disease.
CONCLUSIONS: In this first study publishing data on SonR™ signals in a real-life setting, SonR™ signal evolution over the first 6 months after cardiac resynchronization implantation was an independent predictor of cardiovascular events at follow-up. This variable could be useful to identify patients at higher risk of further adverse events after cardiac resynchronization implantation.
AIMS: The primary objective was to assess the predictive value of SonR™ signal evolution regarding cardiovascular events in patients implanted with a cardiac resynchronization therapy device. The secondary objective was to evaluate whether SonR™ signal evolution was associated with cardiovascular death.
METHODS: All patients with a SonR™ system implanted between 2012 and 2016 were included in this retrospective study. SonR™ signal evolution was calculated over the first 6 months after implantation: ([month 6 value-month 1 value]/month 1 value)*100. The primary endpoint (cardiovascular events) was a composite of cardiovascular death, hospitalization for acute heart failure or ventricular arrhythmia.
RESULTS: Seventy-four patients (median age 67 years; 81% men) were followed up over a median 20 (13; 29) months. Cumulative incidence function showed that SonR™ signal evolution was predictive of cardiovascular events (threshold<10.70%; P=0.023) and predictive of cardiovascular death (P=0.0018). After multivariable analysis, SonR™ signal evolution was independently associated with the onset of cardiovascular events (hazard ratio: 4.03, 95% confidence interval: 1.31-12.43; P=0.015), even after adjustment for left bundle branch block and chronic kidney disease.
CONCLUSIONS: In this first study publishing data on SonR™ signals in a real-life setting, SonR™ signal evolution over the first 6 months after cardiac resynchronization implantation was an independent predictor of cardiovascular events at follow-up. This variable could be useful to identify patients at higher risk of further adverse events after cardiac resynchronization implantation.
Предметные рубрики MeSH
AgedCardiac Resynchronization TherapyCardiac Resynchronization Therapy DevicesDeath, Sudden, CardiacEquipment DesignFemaleHeart FailureHumansMaleMiddle AgedMyocardial ContractionPredictive Value of TestsRetrospective StudiesRisk FactorsSignal Processing, Computer-AssistedTachycardia, VentricularTelemetryTime FactorsTransducersTreatment OutcomeVentricular Function, Left