In Vivo Detection of Circulating Clots in Patients With Thromboembolism

Launched by UNIVERSITY OF ARKANSAS · Mar 17, 2022

Keywords

ClinConnect Summary

This clinical trial is looking to test a new device that can detect blood clots in patients who have thromboembolism, a condition where blood clots form and can block blood vessels. The study aims to see how well this device works in identifying these clots in real-time. It is currently recruiting participants aged 18 and older who have been diagnosed with blood clot conditions through standard medical tests or who have had a stroke caused by a blocked blood vessel.

To participate, individuals must provide informed consent and meet certain criteria, such as having evidence of current blood clots. However, some people may not be eligible, including those who have serious heart conditions, infections, or other health issues that could pose a risk during the trial. Participants can expect to undergo assessments to determine if they qualify and then possibly use the new device to help advance the understanding of how to detect blood clots more effectively.

Gender

ALL

Eligibility criteria

• • Inclusion Criteria
• • Men and women, 18 years old and older.
• • Evidence of current venous or arterial thromboembolic disease diagnosed by standard of care clinical, radiographic, or laboratory testing or acute ischemic stroke.
• • Informed consent provided by the subject.
• • Exclusion Criteria
• • Pulmonary embolus with a need for mechanical ventilation or other ventilator support (may be on oxygen delivered by nasal cannula or mask at an FiO2 of ≤ 0.40)
• • Acute coronary syndrome (including unstable angina)
• • Significant cardiac arrhythmia (may have atrial fibrillation controlled with medication)
• • Intracardiac thrombus
• • Any embolus or thrombus requiring vascular surgery or interventional radiology to attempt acute embolectomy or thrombectomy
• • Sickle cell disease with vaso-occlusive crisis
• • Sepsis or life-threatening infection
• • Traumatic injury requiring hospitalization (within 30 days prior to enrollment)
• • Pregnancy or breastfeeding
• • Severe mental illness
• • Other conditions deemed by the investigators to put the subject at greater risk