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Prediction of Low Blood Pressure After General Anesthesia Using Carotid Artery Ultrasound in Adults with Chronic Liver Disease
Led by Ain Shams University · Updated on 2026-02-02
35
Participants Needed
1
Research Sites
N/A
Total Duration
AI-Summary
What this Trial Is About
Researchers are investigating how measurements of the carotid artery, specifically the corrected flow time and respiratory variation of peak blood flow velocity, can predict hypotension after general anesthesia induction in adults with chronic liver disease. The study includes adult patients with confirmed chronic liver disease undergoing elective surgery and aims to monitor blood flow and hemodynamic changes during anesthesia to better understand hypotension risks. During the study, patients will undergo ultrasound measurements of the carotid artery while lying on their backs to capture blood flow details using a specialized ultrasound device. Anesthesia will be administered with a standardized protocol including medications like propofol, fentanyl, and cisatracurium. Continuous monitoring of heart rate, blood pressure using arterial catheter, oxygen levels, and carbon dioxide will be performed before and after anesthesia induction. Patients will be grouped based on whether they experience post-induction hypotension. Participants will be closely observed throughout the surgery with vital signs continuously recorded for 5 to 10 minutes after anesthesia induction. Ultrasound measures will be taken by experienced sonographers, and some results will be reviewed for consistency. The main outcome is to predict hypotension within the first three months. Treatments for hypotension and bradycardia will be applied as needed. The total study duration is about three months or until enough participants are recruited.
CONDITIONS
Brief Title
Carotid Artery Corrected Flow Time and Respiratory Variation of Blood Flow Peak Velocity for Prediction of Hypotension After Induction of General Anaesthesia in Adult Patients With Chronic Liver Disease
Research Team
I
ismail mohammed mahmoud, assistant professor
T
tamer samir abdelsalam, assisstant professor
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