- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT03408938
The Value of Continuous Noninvasive Hemoglobin Monitoring Using Masimo Radical -7 Pulse CO-Oximeter in Intraoperative Blood Transfusion Practice During Obstetric Procedures
The Value of Continuous Noninvasive Hemoglobin Monitoring Using Masimo Radical Pulse Co-oximeter in Intraoperative Blood Transfusion Practice During Obestatric Procedure
Study Overview
Status
Intervention / Treatment
Detailed Description
Photoplethysmography of peripheral perfusion can be displayed by pulse oximeters. While the pulse oximeterplethysmogram represents a volume change and the arterial line blood pressure tracing represents a pressure change, it has been demonstrated that cyclical shifts in the plethysmogram reflect similar cyclic changes in the blood pressure tracing and that these changes reflect changes in the intravascular volume status of patients.Plethysmography Variability Index (PVI) is a measure of the dynamic changes in the perfusion index (PI) that occur during the respiratory cycle . PVI = ﴾PI Max - PI Min﴿ ÷ PI Maxx 100 %.
PVI has the potential to provide useful information concerning changes in the balance between intrathoracic airway pressure and intravascular fluid volume. Trending of PVI may be useful in monitoring surgical patients, both intraoperatively and postoperatively, for appropriate hydration states. For example, a rising PVI may indicate developing hypovolemia and gives an alarm for the need of appropriate fluid and or blood products transfusion supported by the patient hemoglobin level.
Continuous Hb monitoring may allow a more rapid detection of clinically significant blood loss, and has the potential to significantly improve perioperative transfusion practices, may enable a more rapid assessment of a patient's condition and more appropriate blood management and even perhaps reduce needless transfusions.
Study Type
Enrollment (Actual)
Contacts and Locations
Study Locations
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Cairo, Egypt, 11451
- Ahmed Abdalla Mohamed
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Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Sampling Method
Study Population
Description
Inclusion Criteria:
- All adult high risk patients (ASA 1-2)
- Age group (16-44 years old)
- Obtetric surgery with high risk of bleeding in early and late pregnancy e.g Disturbed ectopic pregnancy ,Vesicular mole , Abortion , Placenta accrete , Rupture uterus and placenta previa
Exclusion Criteria:
- Significant liver disease defined as (serum alanine aminotransferase and serum aspartate aminotransferase >2.5 times normal).
- Significant renal disease defined as (serum creatinine >1.5 mg/dl or creatinine clearance <40 ml/min).
- Significant coagulopathy defined as (INR >1.5).
- Use of antiplatlets or anticoagulants.
- Anemic patients with Hb% less than 8 gm/dl
Study Plan
How is the study designed?
Design Details
Cohorts and Interventions
Group / Cohort |
Intervention / Treatment |
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Continuous Hb monitoring with Masimo Radical
Plethysmography Variability Index (PVI) is a measure of the dynamic changes in the perfusion index (PI) that occur during the respiratory cycle . PVI = ﴾PI Max - PI Min﴿ ÷ PI Maxx 100 %. PVI has the potential to provide useful information concerning changes in the balance between intrathoracic airway pressure and intravascular fluid volume. Trending of PVI may be useful in monitoring surgical patients, both intraoperatively and postoperatively, for appropriate hydration states. For example, a rising PVI may indicate developing hypovolemia and gives an alarm for the need of appropriate fluid and or blood products transfusion supported by the patient hemoglobin level |
The Masimo pulse oximetry model: The pulse oximetry model which Masimo developed accounts for saturation values contributed by the true arterial signal, and by one or more motion or noise signals. lt is assumed that under conditions of motion, the detected IR and RD signals comprise both the true arterial saturation signal and a venous (or non-arterial) motion noise signal. Masimo uses a highly sophisticated adaptive filter with, Discrete saturation transform (DST) four other parallel engines, to leverage each algorithm's unique strengths to ensure accurate readings through all patient conditions. Masimo SET's most powerful algorithm is Signal extraction technology (SET). All algorithms depend upon assumptions. The more assumptions, the weaker the algorithm. DST makes only one assumption -that arterial blood has a higher oxygenation than venous - making it the most powerful pulse oximetry algorithm
Other Names:
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What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Transfusion improvement
Time Frame: 24 hours
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Improvement of transfusion practice by detecting the amount of transfused units of RBCs during rapid blood loss
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24 hours
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Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Agreement between SpHb and laboratory Hb values
Time Frame: 24 hours
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The frequency of laboratory Hb testing and agreement between SpHb and laboratory Hb values
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24 hours
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Collaborators and Investigators
Sponsor
Collaborators
Investigators
- Study Chair: Ashraf Abdelmawgood, M.D, Professor of Anesthesia&I.C.U and Pain Clinic
- Study Director: Hossam El Din Mostafa, M.S, Assistant Lecturer of Anesthesia&I.C.U and Pain Clinic
Study record dates
Study Major Dates
Study Start (ACTUAL)
Primary Completion (ACTUAL)
Study Completion (ACTUAL)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (ACTUAL)
Study Record Updates
Last Update Posted (ACTUAL)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Other Study ID Numbers
- N7-G1-2015/MD
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
IPD Plan Description
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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