Ignite Creation Date:
2025-12-26 @ 5:24 PM
Ignite Modification Date:
2025-12-26 @ 5:24 PM
Study NCT ID:
NCT07109206
Status:
NOT_YET_RECRUITING
Last Update Posted:
2025-08-07
First Post:
2025-06-23
Is NOT Gene Therapy:
False
Has Adverse Events:
False
Brief Title:
Cardio-circulatory and Respiratory Monitoring for Prediction of Outcome in Mechanically Ventilated Chronic Obstructive Pulmonary Disease Patients
Sponsor:
Assiut University
Organization:
Study Overview
Official Title:
Cardio-circulatory and Respiratory Monitoring for Prediction of Outcome in Mechanically Ventilated Chronic Obstructive Pulmonary Disease Patients
Status:
NOT_YET_RECRUITING
Status Verified Date:
2025-07
Last Known Status:
None
Delayed Posting:
No
If Stopped, Why?:
Not Stopped
Has Expanded Access:
False
If Expanded Access, NCT#:
N/A
Has Expanded Access, NCT# Status:
N/A
Acronym:
None
Brief Summary:
Chronic Obstructive Pulmonary Disease (COPD) remains a leading cause of morbidity and mortality worldwide, often necessitating invasive mechanical ventilation (MV) during acute exacerbations. Weaning these patients from MV is a critical juncture in their care, as prolonged ventilation is associated with increased complications, including ventilator-associated pneumonia, diaphragmatic dysfunction, and higher healthcare costs. Traditional weaning indices, such as the Rapid Shallow Breathing Index (RSBI), Maximum Inspiratory Pressure (MIP), and the Integrative Weaning Index (IWI), New Integrative Weaning Index (NIWI) have been employed to predict weaning outcomes. However, their predictive accuracy in COPD patients is variable, often due to the heterogeneous nature of the disease and the presence of comorbidities. Recent advancements have introduced non-invasive hemodynamic monitoring tools, such as the ICON® (Electrical Cardiometry), which measures parameters like cardiac output, stroke volume, and thoracic fluid content. These parameters may offer additional insights into a patient's readiness for weaning by providing real-time data on cardiovascular and fluid status, which are crucial in the weaning process. There is a scarcity of data comparing the predictive value of ICON parameters with traditional weaning indices in COPD patients. Understanding whether ICON-derived metrics can enhance weaning predictions and lead to more individualized and effective weaning strategies, reducing the duration of MV and improving patient outcomes.
Detailed Description:
None
Study Oversight
Has Oversight DMC:
False
Is a FDA Regulated Drug?:
False
Is a FDA Regulated Device?:
False
Is an Unapproved Device?:
None
Is a PPSD?:
None
Is a US Export?:
None
Is an FDA AA801 Violation?: