Publications by authors named "I Bonelli"

Despite standard thromboprophylaxis, venous thrombosis is common in critically ill patients with COVID-19. The objective of this study was to evaluate deep venous thrombosis (DVT) incidence in patients with severe COVID-19 pneumonia with mechanical ventilation requirements under intermediate dose of chemical thromboprophylaxis (1 mg/kg/day of enoxaparin). This was a single-center, descriptive, cross-sectional study of prospectively collected data.

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Coronavirus disease 2019 (COVID-19) produces a significant burden to severely ill patients affected by acute respiratory failure. The aim of this study was to describe echocardiographic findings in a series of mechanically ventilated patients with moderate and severe acute respiratory distress syndrome (ARDS) due to COVID-19. This was a single center, descriptive and cros s-sectional study of prospectively collected data.

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Objective: To determine whether high-dose dexamethasone increases the number of ventilator-free days (VFD) among patients with acute respiratory distress syndrome (ARDS) caused by COVID-19.

Design: Multicenter, randomized, open-label, clinical trial.

Participants: Consecutive patients with confirmed COVID-19-related ARDS were enrolled from June 17, 2020, to March 27, 2021, in four intensive care units (ICUs) in Argentina.

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Objectives: The aim of this study is to explore the effectiveness and safety of high dose dexamethasone treatment for Acute Respiratory Distress Syndrome secondary to SARS-Cov-2 pneumonia.

Trial Design: Multicentre, randomized clinical trial, controlled, open label, parallel group, to evaluate the effectiveness and safety of high dose dexamethasone in adult patients with confirmed COVID-19, with Acute Respiratory Distress Syndrome.

Participants: We will include patients with SARS-Cov-2 pneumonia who develop acute respiratory distress syndrome, in several intensive care units (ICU) in Buenos Aires, Argentina (CEMIC, Clinica Bazterrica, Sanatorio Sagrado Corazon) Inclusion criteria: Men and women, age ≥ 18 years old.

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Article Synopsis
  • - The study aims to validate a new algorithm that detects asynchronies in patient-ventilator interactions, particularly focusing on reverse-triggering (RT) in ARDS patients.
  • - The algorithm classifies breaths into categories like normal, RT (with/without breath stacking), and double-triggering, using data from two sets of breath recordings: one analyzed visually using esophageal pressure signals and the other through expert opinion on flow and airway pressure.
  • - Results show high diagnostic accuracy (0.92 and 0.96) and strong agreement with expert evaluations, indicating the algorithm is effective in identifying clinically significant asynchronies related to RT.
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