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Assessment of remote ischemic conditioning delivery with optical sensor in acute ischemic stroke: Randomised clinical
Radhika Nair1, Robert Sarmiento1, Asif Sheriff1
1Department of Medicine, University of Alberta, Edmonton, Alberta, Canada.
Plos One
|May 4, 2023
Summary
This study investigates the feasibility of using remote ischemic conditioning (RIC) with a novel tissue reflectance sensor in acute ischemic stroke patients. The device aims to improve patient compliance and allow for individualized treatment delivery.
Area of Science:
- Neurology
- Biomedical Engineering
- Cardiovascular Research
Background:
- Remote ischemic conditioning (RIC) involves limb pressure cuff inflations and deflations to induce ischemia-reperfusion cycles.
- Discomfort from RIC can reduce patient compliance; continuous monitoring may mitigate this.
- Tissue reflectance spectroscopy offers real-time assessment of blood concentration and oxygenation during RIC.
Purpose of the Study:
- To assess the feasibility of delivering RIC with a tissue reflectance sensor in patients with acute ischemic stroke (AIS) and small vessel disease.
- To evaluate the potential for improved patient compliance and individualized RIC delivery.
- To establish the safety and efficacy of this combined approach.
Main Methods:
- A prospective, single-center, randomized controlled trial involving 51 patients with AIS and small vessel disease.
- Patients were randomized 2:1 to receive RIC with a tissue reflectance sensor or a sham procedure.
- Feasibility was assessed by the ability to deliver RIC for 7 days or until discharge, with secondary outcomes including fidelity, completion rates, and clinical assessments at 90 days.
Main Results:
- The primary outcome is the feasibility of RIC delivery over 7 days or until discharge.
- Secondary outcomes include RIC delivery fidelity, completion rates, and clinical outcomes (modified Rankin Scale, recurrent stroke, cognitive assessment) at 90 days.
- The study aims to demonstrate that RIC with a tissue reflectance sensor is feasible in this patient population.
Conclusions:
- The integration of tissue reflectance sensors with RIC holds promise for enhancing treatment delivery and patient outcomes in AIS.
- This technology may enable personalized RIC protocols by monitoring physiological responses.
- Further research is warranted to confirm the clinical benefits of this approach.

