ClinicalTrials.gov
public full text
Public Domain
Diaphragm Ultrasound Evaluation During Weaning From Mechanical Ventilation in the Positive COVID-19 Patient
Hypoxemic acute respiratory failure is one of the main COVID-19 patients complication that lead to in intensive care hospitalization. This complication determines a variable mortality from 25 to 30%. To correct hypoxemia (often severe) is often needed non-invasive or invasive mechanical ventilation. Mechanical ventilation is not a therapeutic strategy, but it allows to extend the time-to-recovery necessary to solve COVID-19 respiratory failure cause. Calibration of ventilatory support is essential to ensure adequate time-to-recovery without contributing to onset lung and / or diaphragmatic damage. Basal diaphragmatic activity assessment, device for administering the oxygenation support choice and setting ventilatory support parameters are decisive. Ultrasound is the best method for measuring diaphragmatic work. The aim of this study is to evaluate the diaphragmatic thickening fraction in COVID-19 patients admitted to Intensive Care Unit (ICU) for acute respiratory failure and to record its function on weaning.
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Ultrasound Diaphragmatic Thickening to Monitor Its Dysfunction in Patients With Sepsis#467525
- Lung and Diaphragm Ultrasound in Predicting Extubation and Weaning of Mechanically Ventilated Patients in Intensive Care Unit#854054
- Diaphragmatic Ultrasound to Predict NIV Outcome in Patients With De-novo ARF#1127439
- A Study Comparing Carotid Doppler Ultrasound and Echocardiography to Assess Fluid Responsiveness in Septic Patients on Ventilator#807458
- Impact of an Echographic Algorithm on Hemodynamic Optimization in the First 4 Days of Septic Shock Management#918362
Record · ID 1184052
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive