Publications by authors named "A Capucci"

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: Atrial fibrillation (AFIB), the most frequent cardiac arrhythmia, is a major risk factor for stroke, heart failure, and death. Because of the recent advances in AFIB management and the availability of new oral anticoagulants (OACs), there is a need for a systematic and predefined collection of contemporary data regarding its management and treatment.

Methods: The objective of the ongoing ITALY-AFIB registry is to evaluate the long-term morbidity and mortality in patients with AFIB and to verify the implementation of the current guidelines for stroke prevention in these patients.

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Aims: Globally, nearly 20% of cardiovascular disease deaths were attributable to air pollution. Out-of-hospital cardiac arrest (OHCA) represents a major public health problem; therefore, the identification of novel OHCA triggers is of crucial relevance. The aim of the study was to evaluate the association between air pollution (short-, mid-, and long-term exposures) and OHCA risk, during a 7-year period in a highly polluted urban area in northern Italy, with a high density of automated external defibrillators (AEDs).

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There is strong evidence that remote monitoring in cardiac implantable electronic devices can detect device malfunctions earlier than conventional monitoring and that it can be useful for detecting cardiac arrhythmias, while little data are available for an improved management of heart failure (HF). HeartInsight is a new remote monitoring algorithm developed and validated in the SELENE HF study that combines information from a diverse set of sensors integrated into one alert to detect worsening HF with promising accuracy. However, the shift from detecting technical issues or arrhythmia episodes to early predicting clinical events underscores the need to understand how to properly integrate these tools into the clinical workflow by defining an organizational model and shared guidelines for the management of HF alerts.

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During the last decades, many improvements have been made regarding the treatment of atrial fibrillation in terms of risk prevention, anti-coagulation strategies, and gain in quality of life. Among those, anti-arrhythmic drugs (AADs) have progressively fallen behind and overtaken by technological aspects as devices as procedures are now the standards of care for many patients. But is this it? Are AADs doomed to be relegated to an obscure and rarely read paragraph of the European recommendations? Or could they be still employed safely and effectively? In the present paper, we will discuss contemporary evidence in order to define where AADs still play a pivotal role, how should AADs be used, and whether a tailored approach can be the way to propose the right treatment to the right patient.

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