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A screening tool for obstructive sleep apnea in cerebrovascular patients
Irene L Katzan1, Nicolas R Thompson2, Ken Uchino3
1Center for Outcomes Research & Evaluation, Cleveland Clinic, Cleveland, OH, USA; Cerebrovascular Center, Cleveland Clinic, Cleveland, OH, USA.
Sleep Medicine
|July 25, 2016
Summary
A modified screening tool, STOP-BAG2, effectively identifies obstructive sleep apnea (OSA) in stroke patients. This enhanced screening improves OSA detection and patient outcomes in cerebrovascular disease.
Area of Science:
- Neurology
- Sleep Medicine
- Medical Screening
Background:
- Obstructive sleep apnea (OSA) is prevalent in stroke patients but often undiagnosed.
- Current OSA screening tools lack efficacy in this population.
- This study aimed to adapt existing OSA screening for stroke patients.
Purpose of the Study:
- To modify and validate OSA screening tools for stroke patients.
- To improve the identification of OSA in individuals with cerebrovascular disease.
- To enhance diagnostic efficiency and patient outcomes.
Main Methods:
- A cohort study involving 208 stroke patients who completed the STOP screen and polysomnography.
- Development and comparison of six prediction models for OSA.
- Calculation of sensitivity and specificity for various cut points.
Main Results:
- 61% of patients had sleep apnea.
- The STOP-BAG model (STOP items + BMI, age, sex) showed high c-statistics.
- The STOP-BAG2 model, using continuous variables, demonstrated superior sensitivity (0.94) and specificity (0.60) compared to STOP-BAG.
Conclusions:
- The STOP-BAG screen is valuable for identifying stroke patients at risk of OSA.
- STOP-BAG2 is preferred for automated scoring, enhancing OSA evaluation efficiency.
- Improved OSA screening can lead to better outcomes for cerebrovascular patients.
