Publications by authors named "Vincenzo E Santobuono"

Background: The HeartLogic algorithm (Boston Scientific, St Paul, MN) integrates data from implantable cardioverter-defibrillator (ICD) sensors to predict heart failure (HF) decompensation: first (S1) and third (S3) heart sounds, intrathoracic impedance, respiration rate, ratio of respiration rate to tidal volume (RSBI), and night heart rate.

Objective: This study assessed the relative changes in ICD sensors at the onset of HeartLogic alerts, their association with patient characteristics, and outcomes.

Methods: The study included 568 patients with HF carrying ICDs (CRT-D, n = 410) across 26 centers, with a median follow-up of 26 months.

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Background: Sodium-glucose cotransporter 2 (SGLT2) inhibitors have revolutionized the therapeutic scenario of heart failure, demonstrating favorable effects on mortality and quality of life. Previous studies have yielded conflicting data regarding the effects on ventricular arrhythmias.

Methods: A prospective observational study was conducted to investigate the anti-arrhythmic properties of SGLT2 inhibitors evaluating the intra-patient difference in major adverse arrhythmic cardiac events (MAACE) over a six-month period in patients with chronic heart failure who were undergoing continuous monitoring using a cardiac implantable electronic device.

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Article Synopsis
  • The study examines how daily biventricular pacing percentage (BiV%) affects heart failure (HF) status in patients with cardiac resynchronization therapy (CRT) using the HeartLogic algorithm.
  • Researchers monitored 306 patients over 26 months and found that low BiV% and prolonged drops in pacing were linked to a higher risk of heart failure alerts, indicating worsening conditions.
  • The findings suggest that even small decreases in BiV% can significantly indicate potential heart failure problems, emphasizing the importance of maintaining high pacing levels for patient outcomes.
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Article Synopsis
  • * The placement of the pacemaker lead in the right ventricle can interfere with the function of the implanted prosthetic valve, potentially causing its dysfunction and requiring alternative pacing locations.
  • * The authors describe a novel combined procedure involving the implantation of two leads in the coronary sinus for effective pacing, alongside a transcatheter procedure to replace a malfunctioning tricuspid bioprosthesis in a young patient.
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Arrhythmic risk stratification in patients with Lamin A/C gene (LMNA)-related cardiomyopathy influences clinical decisions. An implantable cardioverter defibrillator (ICD) should be considered in patients with an estimated 5-year risk of malignant ventricular arrhythmia (MVA) of ≥10%. The risk prediction score for MVA includes non-missense LMNA mutations, despite their role as an established risk factor for sudden cardiac death (SCD) has been questioned in several studies.

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Cardiomyopathies (CMPs) are a group of myocardial disorders that are characterized by structural and functional abnormalities of the heart muscle. These abnormalities occur in the absence of coronary artery disease (CAD), hypertension, valvular disease, and congenital heart disease. CMPs are an increasingly important topic in the field of cardiovascular diseases due to the complexity of their diagnosis and management.

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Background: Atrial high-rate episodes (AHREs) are frequent in patients with cardiac implantable electronic devices. A decrease in device-detected P-wave amplitude may be an indicator of periods of increased risk of AHRE.

Objective: The objective of this study was to assess the association between P-wave amplitude and AHRE incidence.

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Background: There are limited real-world data on the extended prognosis of patients with drug-induced type 1 Brugada electrocardiogram (ECG).

Objective: We assessed the clinical outcomes and predictors of life-threatening arrhythmias in patients with drug-induced type 1 Brugada ECG.

Methods: This multicenter retrospective study, conducted at 21 Italian and Swiss hospitals from July 1997 to May 2021, included consecutive patients with drug-induced type 1 ECG.

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Micra AV represents a leadless endocardial pacing system able to detect atrial contractions providing atrioventricular synchrony. A reduction of myocardial contractility may be detected in case of first-degree atrioventricular block (AVB). In six patients with first-degree AVB (PQ interval ≥220 msec) was evaluated the left ventricle global longitudinal strain (LV GLS) by speckle tracking (ST) echocardiography during single-lead atrial sensing ventricular pacing (VDD) stimulation as compared with spontaneous rhythm (SR), 24-48 h after Micra AV implantation.

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Non-ischemic dilated cardiomyopathy (DCM) is a disease characterized by left ventricular dilation and systolic dysfunction. Patients with DCM are at higher risk for ventricular arrhythmias and sudden cardiac death (SCD). According to current international guidelines, left ventricular ejection fraction (LVEF) ≤ 35% represents the main indication for prophylactic implantable cardioverter defibrillator (ICD) implantation in patients with DCM.

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Introduction: The importance of atrio-ventricular synchrony pacing in sinus rhythm patients is known. To identify patients in whom leadless pacemakers are able to guarantee this atrio-ventricular synchrony, we explored correlations among echocardiographic measures of left atrial (LA) size and function (doppler parameter and strain) with A4 amplitude in patients implanted with new generation Micra-AV device.

Methods: After implantation with Micra-AV system, patients underwent device interrogation to evaluate AV synchrony based on the sensing of atrial mechanics and echocardiographic exam to assess LA morphology and LA function.

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Aims: 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.

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Article Synopsis
  • This study looked at how heart rates while sleeping and over 24 hours can affect patients with heart problems who use special devices to help their hearts.
  • Researchers found that patients with higher heart rates (more than 65 beats while sleeping and over 75 beats in a day) were at a greater risk of serious health problems, like dying or having dangerous heart rhythms.
  • The results suggest that keeping heart rates lower can help these patients stay safer and healthier.
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Aims: The HeartLogic algorithm combines multiple implantable defibrillator (ICD) sensor data and has proved to be a sensitive and timely predictor of impending heart failure (HF) decompensation in cardiac resynchronization therapy (CRT-D) patients. We evaluated the performance of this algorithm in non-CRT ICD patients and in the presence of co-morbidities.

Methods And Results: The HeartLogic feature was activated in 568 ICD patients (410 with CRT-D) from 26 centres.

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Introduction: Micra AV Transcatheter Pacing System (TPS) represents an innovative second-generation leadless pacemaker which represents an effective alternative to conventional devices in selected cases. Intrinsic malfunctions of these devices are rare, requiring sometimes their retrieval. When performed in experienced centers, this procedure is safe.

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Introduction: The prediction of ventricular tachyarrhythmias among patients with implantable cardioverter defibrillators is difficult with available clinical tools. We sought to assess whether in patients with heart failure (HF) and reduced ejection fraction with defibrillators, physiological sensor-based HF status, as summarized by the HeartLogic index, could predict appropriate device therapies.

Methods: Five hundred and sixty-eight consecutive HF patients with defibrillators (n = 158, 28%) or cardiac resynchronization therapy-defibrillators (n = 410, 72%) were included in this prospective observational multicenter analysis.

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Article Synopsis
  • - The HeartLogic algorithm, developed by Boston Scientific, effectively predicts imminent heart failure (HF) by using various heart metrics from implanted devices, and this study aimed to see if it can also flag patients at high risk for death.
  • - In a study involving 568 patients with implantable cardioverter-defibrillators, 1,200 alerts were logged over about 26 months, indicating increased health risks; notably, the death rate was much higher during alert states compared to non-alert states.
  • - The findings suggest that patients in an alert state have a significantly increased risk of death, indicating that the HeartLogic index is a valuable tool for identifying those who may need more intensive monitoring or intervention.
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Aims: Patients with atrial fibrillation frequently experience sleep disorder breathing, and both conditions are highly prevalent in presence of heart failure (HF). We explored the association between the combination of an HF and a sleep apnoea (SA) index and the incidence of atrial high-rate events (AHRE) in patients with implantable defibrillators (ICDs).

Methods And Results: Data were prospectively collected from 411 consecutive HF patients with ICD.

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Background: Causes of sex differences in incidence of sustained ventricular arrhythmias (SVAs) are poorly understood.

Objectives: This study aims to investigate sex-specific risk of SVAs and device therapies by balancing sex groups in relation to several baseline characteristics with the propensity score (PS).

Methods: We used a large remote monitoring dataset from implantable cardioverter-defibrillators (ICDs) and cardiac resynchronization therapy defibrillators (CRT-Ds).

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No real-world data are available about the complications rate in drug-induced type 1 Brugada Syndrome (BrS) patients with an implantable cardioverter-defibrillator (ICD). Aim of our study is to compare the device-related complications, infections, and inappropriate therapies among drug-induced type 1 BrS patients with transvenous- ICD (TV-ICD) versus subcutaneous-ICD (S-ICD). Data for this study were sourced from the IBRYD (Italian BRugada sYnDrome) registry which includes 619 drug-induced type-1 BrS patients followed at 20 Italian tertiary referral hospitals.

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Background: Sleep-disordered breathing is highly prevalent in heart failure (HF) and has been suggested as a risk factor for malignant ventricular arrhythmias. The Respiratory Disturbance Index (RDI) computed by an implantable cardioverter-defibrillator (ICD) algorithm accurately identifies severe sleep apnea.

Objectives: In the present analysis, the authors evaluated the association between ICD-detected sleep apnea and the incidence of appropriate ICD therapies in patients with HF.

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Background: Safety and efficacy of leadless pacemakers (L-PM) have been demonstrated in multiple clinical trials, but real-world data on patient selection, implantation technique, and peri-procedural patient management in a clinical practice setting are lacking.

Methods: Consecutive patients undergoing L-PM implantation in 14 Italian centers were followed in a prospective, multicentre, observational project. Data on baseline patient characteristics, clinical indications, implantation procedure, and peri-procedural patient management were collected.

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Cardiovascular disease remains an integral field on which new research in both the biomedical and technological fields is based, as it remains the leading cause of mortality and morbidity worldwide. However, despite the progress of cardiac imaging techniques, the heart remains a challenging organ to study. Artificial intelligence (AI) has emerged as one of the major innovations in the field of diagnostic imaging, with a dramatic impact on cardiovascular magnetic resonance imaging (CMR).

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