A5040691910- Respiratory Support and Mechanisms
- Hemodynamic Monitoring and Therapy
- Cardiac Arrest and Resuscitation
- Chronic Obstructive Pulmonary Disease (COPD) Research
- Sepsis Diagnosis and Treatment
- Electrical and Bioimpedance Tomography
- COVID-19 Clinical Research Studies
- Obstructive Sleep Apnea Research
- Machine Learning in Healthcare
- Thermal Regulation in Medicine
- Clinical Reasoning and Diagnostic Skills
- Pleural and Pulmonary Diseases
- Intensive Care Unit Cognitive Disorders
- Ultrasound in Clinical Applications
- Emergency and Acute Care Studies
Harvard University
2024
Massachusetts General Hospital
2024
University of Milano-Bicocca
2023-2024
Boston University
2024
Accurate risk stratification of critically ill patients with coronavirus disease 2019 (COVID-19) is essential for optimizing resource allocation, delivering targeted interventions, and maximizing patient survival probability. Machine learning (ML) techniques are attracting increased interest the development prediction models as they excel in analysis complex signals data-rich environments such critical care.We retrieved data on COVID-19 admitted to an intensive care unit (ICU) between March...
The superimposed pressure is the primary determinant of pleural gradient. Obesity associated with elevated end-expiratory esophageal pressure, regardless lung disease severity, and might not be only study aims to measure partitioned respiratory mechanics in a cohort patients admitted ICU without class III obesity (BMI ≥ 40 kg/m
Sepsis and septic shock are major challenges economic burdens to healthcare, impacting millions of people globally representing significant causes mortality. Recently, a large number quality improvement programs focused on sepsis resuscitation bundles have been instituted worldwide. These educational initiatives shown be associated with improvements in clinical outcomes. We aimed evaluate the impact multi-faceted implementing program (QIP) compliance "simplified 1-h bundle" (Sepsis 6)...
Background: Noninvasive ventilation, mainly helmet CPAP, was widely used during the COVID-19 pandemic, even outside of intensive care units. Both ROX index and LUS score (LUSS) have been proposed as tools to predict negative outcomes in patients with hypoxemia treated noninvasive ventilation (NIV) ICUs. We aim evaluate whether combination LUSS improves predictive performance these indices due pneumonia, NIV Methods: This is a monocentric prospective observational study conducted at...
Abstract Background Lung perfusion defects, mainly due to endothelial and coagulation activation, are a key contributor COVID-19 respiratory failure. patients may also develop acute kidney injury (AKI) because of renal deficit. We aimed explore AKI-associated factors the independent prediction standardized minute ventilation (MV)—a proxy alveolar dead space—on AKI onset persistence in mechanically ventilated patients. Methods This is multicenter observational cohort study. enrolled 157...
Non-invasive helmet respiratory support is suitable for several clinical conditions. Continuous-flow CPAP systems equipped with HEPA filters have become popular during the recent Coronavirus pandemic. However, generate an overpressure above set PEEP. A lung simulator was used to mimic patient mechanics and effort. Compared room air spontaneous breathing, additional inspiratory effort attributable (ΔPmusHelmet) recorded at different continuous-flow rates (30-150 L/min), PEEP levels (5, 10,...
Electrical Impedance Tomography (EIT) is a groundbreaking, non-invasive, and radiation-free imaging technique for continuous, real-time ventilation monitoring. It also has an application in pulmonary perfusion EIT quantifies patterns across the lung from measurement processing of impedance changes thorax. powerful tool clinicians to visualize breath-by-breath function. An innovative its ability assess using kinetic analysis hypertonic solution injection during breath-hold. The generates...