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First-in-Human Study of the Saranas Early Bird Bleed Monitoring System for the Detection of Endovascular
Philippe Généreux1, Tamim M Nazif, Joggy K George
1Gagnon Cardiovascular Institute, Morristown Medical Center, 100 Madison Avenue, Morristown, NJ 07960 USA. philippe.genereux@atlantichealth.org.
Objectives:
To evaluate the safety and accuracy of the Early Bird Bleed Monitoring System (EBBMS; Saranas) for the detection of access-site related bleeds in humans undergoing endovascular procedures.
Background:
Bleeding complications after endovascular procedures are frequent and associated with poor prognosis. The EBBMS is a novel technology designed to detect in real time the onset, progression, and severity of internal bleeds.
Methods:
The EBBMS was used during and after endovascular procedures, either as a venous or arterial access sheath. The primary endpoint was the level of agreement in bleed detection between the Saranas EBBMS and postprocedural computed tomography.
Results:
From August 2018 to December 2018, a total of 60 patients from five United States sites were enrolled and underwent elective endovascular procedures (transcatheter aortic valve replacement [67%], percutaneous coronary intervention [13%], percutaneous ventricular assist device [8%], balloon aortic valvuloplasty [7%], transcatheter mitral valve repair/replacement [4%], and endovascular aneurysmal repair [2%]). The EBBMS detected the absence of bleeds in 21 patients (35%) and bleeds in 39 patients (65%), with bleeding severity level 1 in 20 patients (33%), level 2 in 15 patients (25%), and level 3 in 4 patients (7%). Bleeding detection occurred during the procedure in 31% of patients and post procedure in 69% of patients. The level of agreement between the EBBMS and computed tomography scan was high (Cohen's kappa=0.84). No device-related complications were reported.
Conclusions:
The EBBMS was safe across a variety of endovascular procedures and detected bleeding events with a high level of agreement with postprocedural computed tomography scan.
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