A novel technique in identifying unspecified sleep apnea has been developed. This technique uses signals typical acquired from a bedside monitor that is found in critical care environments. Those signals are then processed by a sleep analysis algorithm to provide an Apnoea Hypopnea Index (AHI) score. This study is intended to determine whether the prevalence of sleep disordered breathing identification among patients in a Coronary Care Unit (CCU) using this novel approach is significantly different than using routine techniques.
This study will focus on inpatients diagnosed with coronary conditions. Specific eligibility criteria will include: * Unstable angina * Acute myocardial infarction * Congestive heart failure Subjects enrolled in the study will be scored for sleep apnea using a novel approach designed by the sponsor. That score will not be used in the course of treatment. A follow-up call will determine whether the subject was identified for sleep disordered breathing during the hospital stay. A comparison will be done on the number of those identified with and without the use of the sleep scoring device.
Study Type
OBSERVATIONAL
Enrollment
53
Ohio State University Medical Center
Columbus, Ohio, United States
Sleep disordered breathing was detected either by signals obtained from patient monitoring or by standard approaches by the site.
Time frame: 3 months
Length of CCU stay
Time frame: 3 months
Length of hospital stay
Time frame: 3 months
Prevalence of various sleep variables and correlation to known clinical and laboratory prognostic parameters
Time frame: 3 months
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