Thoracic Fluid Content as an Outcome Predictor in Intensive Care Unit
NCT ID: NCT07100821
Last Updated: 2025-08-13
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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COMPLETED
130 participants
OBSERVATIONAL
2023-12-01
2024-12-01
Brief Summary
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Detailed Description
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Critically ill patients are often hemodynamically unstable (or at risk of becoming unstable) owing to hypervolemia, cardiac dysfunction or alterations of vasomotor function, leading to organ dysfunction, deterioration into multi-organ failure and eventually death range from 15% to 25% of patients admitted to intensive care units.
Impedance cardiography (ICG) and Electrical Cardiometry (EC) are recently developed technologies to measure thoracic fluid content (TFC), cardiac output (CO) and other hemodynamic parameters. Both ICG and EC derive CO from measurements of Thoracic Electrical Bioimpedance (TEB).
One of the parameters examined by electrical cardiometry is thoracic fluid content(TFC) ,which is inversely associated with the patient's transthoracic electrical bioimpedance, and reflects the total (intravascular and extravascular) fluid volume contained in the chest cavity. A study concluded that electrical cardiometry monitoring indicated new possibility to anticipate prognosis of pneumonia patient. Increased thoracic fluid content value would relate to worse outcome of the patient like mortality and intensive care unit admission. Electrical cardiometry monitoring allows real-time measurements of thoracic fluid content without restraining the patient or invasive catheters.
In ARDS patients with cardiac comorbidities, TFC can distinguish between non-cardiogenic and cardiogenic pulmonary edema. In addition, TFC is helpful in the differential diagnosis of the mechanisms of respiratory failure. Thus, recently it was shown that TFC was greater in ARDS than in patients with atelectasis or pleural effusion. Therefore, depending on the TFC value, we can provide different therapeutic interventions.
Conditions
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Study Design
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CASE_ONLY
PROSPECTIVE
Study Groups
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Patients indicated for admission to respiratory critical care unit of chest medicine department
130 patients \>18 years old were enrolled during the period from December 2023 to December 2024
Hemodynamic parameters was measured by using electric cardiometry (ICON)
Hemodynamic parameters was measured daily at 10 a.m by using ICON non-invasive cardiometer model C3 made in Germany by OSYPKA medical (figure 5) by placing the four sensors on the neck and left side of the thorax allow for the continuous measurement of the changes of electrical conductivity within the thorax parameters such as CO, TFC, SVV and FTC were calculated 3 times with 5-min intervals and stored on the device automatically.
Interventions
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Hemodynamic parameters was measured by using electric cardiometry (ICON)
Hemodynamic parameters was measured daily at 10 a.m by using ICON non-invasive cardiometer model C3 made in Germany by OSYPKA medical (figure 5) by placing the four sensors on the neck and left side of the thorax allow for the continuous measurement of the changes of electrical conductivity within the thorax parameters such as CO, TFC, SVV and FTC were calculated 3 times with 5-min intervals and stored on the device automatically.
Eligibility Criteria
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Inclusion Criteria
* Patients indicated for admission to respiratory critical care unit of chest medicine department at Mansoura University Hospitals whatever the indication was.
Exclusion Criteria
* Advanced chronic pulmonary fibrosis.
* Pleural and or pericardial effusions.
18 Years
ALL
No
Sponsors
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Mansoura University Hospital
OTHER
Responsible Party
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Mohamed Abd Elmoniem Mohamed
Lecturer faculty of medicine
Principal Investigators
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Mohamed AbdElmoniem
Role: PRINCIPAL_INVESTIGATOR
Lecturer of chest medicine faculty of medicine Mansoura university
Locations
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Mohamed AbdElmoniem
Al Mansurah, , Egypt
Countries
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Other Identifiers
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MS.19.12.354
Identifier Type: -
Identifier Source: org_study_id
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