Publications by authors named "Ivan Pantano"

Background: During the COVID-19 pandemic, the risk of SARS-CoV-2 infection, the public health measures of social distancing, the freedom limitations, quarantine, and the enforced homeworking under the lockdown period, as well as medical causes including COVID-19 infection per se, may have caused major emotional distress, especially in the most vulnerable patients. We aimed to evaluate the variations in the number of admissions due to Takotsubo syndrome (TTS) during the COVID-19 pandemic in the Veneto region. Methods: We retrospectively reviewed and analyzed the number of admissions because of TTS in 13 Divisions of Cardiology located in the Veneto region, the northeastern area of Italy, covering a population of more than 2.

View Article and Find Full Text PDF
Article Synopsis
  • The study analyzed hospitalization trends for acute coronary syndrome (ACS) and other acute cardiovascular conditions in the Veneto Region of Italy during the COVID-19 pandemic, comparing data from 2020 to data from 2018 and 2019.
  • Researchers found a significant reduction in ACS cases by 27.3% to 32% during the pandemic compared to the historical data, and a similar decrease of 36.5% to 40.6% in acute cardiovascular hospitalizations.
  • The study concluded that this decline in hospitalizations could lead to undiagnosed cardiovascular issues, which may increase future morbidity and mortality rates for these conditions.
View Article and Find Full Text PDF

Background: The COVID-19 pandemic has had a deep impact on periodic outpatient evaluations. The aim of this study was to evaluate the impact of low brain natriuretic peptide (BNP) values in predicting adverse events in heart failure (HF) patients in order to evaluate implications for safe delay of outpatient visits.

Methods: This was a retrospective study.

View Article and Find Full Text PDF

Objective: Congestion in acute heart failure (AHF) affects survival curves and hospital length of stay (LOS). The evaluation of congestion, however, is not totally objective. The aim of this study was to verify the accuracy of bioelectrical impedance vector analysis (BIVA) in predicting the LOS in AHF patients.

View Article and Find Full Text PDF