CUPIDCarotid Flow Time & Peak Velocity Variability for Predicting Intradialytic Hypotension
This observational study is looking at how well Carotid Flow Time and Peak Velocity Variability can predict low blood pressure during dialysis. We will measure these values using ultrasound and analyze their ability to predict hypotension episodes.
Data Collection
Collected from today forward - ProspectiveUrogenital Diseases+15
+ Bronchiolitis Obliterans Syndrome
+ Organizing Pneumonia
Cohort
Tracking disease incidence in order to identify risk factors and understand disease progression over time.Summary
Study start date: February 1, 2025
Actual date on which the first participant was enrolled.This study is designed to explore how certain measurements from an ultrasound can predict drops in blood pressure during dialysis, a common treatment for people with end-stage renal disease (ESRD). The study focuses on two specific measures: carotid corrected flow time (FTc) and peak flow velocity variability (PFVV). These measures are important because they could help foresee episodes of low blood pressure, which can be risky for patients on dialysis. By better predicting these episodes, healthcare providers can improve the safety and effectiveness of dialysis. The study includes adults with ESRD who have been on long-term dialysis for at least three months, excluding those with acute kidney injury or severe heart problems. Participants in the study undergo an ultrasound scan to measure FTc and PFVV one hour after their dialysis session begins. Additionally, their blood pressure is monitored throughout the procedure. Researchers then analyze the data to see how well FTc and PFVV can predict low blood pressure during dialysis. The aim is to find a simple and non-invasive way to monitor patients in real time, enhancing personalized care and safety during their treatment. This study uses advanced statistical methods to ensure accurate results, which could lead to better management strategies for patients undergoing hemodialysis.
Protocol
This section provides details of the study plan, including how the study is designed and what the study is measuring.183 patients to be enrolled
Total number of participants that the clinical trial aims to recruit.Cohort
Eligibility
Researchers look for people who fit a certain description, called eligibility criteria: person's general health condition or prior treatments.Any sex
Biological sex of participants that are eligible to enroll.From 18 to 80 Years
Range of ages for which participants are eligible to join.Conditions
Pathology
Criteria
Inclusion Criteria: Adults aged 18 to 80 years. Diagnosed with end-stage renal disease (ESRD). Undergoing maintenance hemodialysis for more than three months. Willing and able to provide informed consent and comply with study procedures. Exclusion Criteria: Patients with significant carotid artery stenosis due to heavy atherosclerotic plaque (defined as more than 70% stenosis confirmed by ultrasound or angiography). Hemodynamically unstable patients or those requiring vasopressor support. Patients with significant arrhythmias (e.g., atrial fibrillation, ventricular tachycardia). Dialysis sessions terminated for reasons unrelated to hypotension (e.g., technical issues, patient request). Use of antihypertensive medications during dialysis sessions. Inability to undergo ultrasound assessment due to factors such as severe obesity or wounds obstructing access. Patients who withdraw informed consent during the study.
Study Plan
Find out more about all the medication administered in this study, their detailed description and what they involve.Study Objectives
Primary Objectives
Secondary Objectives
Study Centers
These are the hospitals, clinics, or research facilities where the trial is being conducted. You can find the location closest to you and its status.This study has 1 location
The First Affiliated Hospital of Wannan Medical College (Yijishan Hospital of Wannan Medical College)
Wuhu, ChinaOpen The First Affiliated Hospital of Wannan Medical College (Yijishan Hospital of Wannan Medical College) in Google Maps