Infarct location and sleep apnea: evaluating the potential association in acute XXXX .

@entity1 @entity64 @entity63 @entity27 @entity519 @entity385
BACKGROUND: The literature about the relationship between @entity27 ( @entity27 ) and @entity64 location is conflicting with some studies finding an association and others demonstrating no relationship. Among acute @entity385 @entity1 , we sought to examine the relationship between @entity64 location and the prevalence of @entity27 ; @entity27 severity based on @entity27 index (AHI), arousal frequency, and measure of @entity519 ; and number of central and obstructive respiratory events. METHODS: Data were obtained from @entity1 who participated in a randomized controlled trial (NCT01446913) that evaluated the effectiveness of a strategy of diagnosing and treating @entity27 among @entity1 with acute @entity385 and transient @entity63 attack. @entity64 location was classified by brain imaging reports into subdivisions of lobes, subcortical areas, brainstem, cerebellum, and vascular territory. The association between @entity64 and polysomnographic findings was evaluated using logistic regression for @entity27 presence and negative binomial regression for AHI. RESULTS: Among 73 @entity1 with complete polysomnography and @entity64 location data, 58 (79%) had @entity27 . In unadjusted models, no @entity64 location variable was associated with the prevalence or severity of @entity27 . Similarly, in multivariable modeling, groupings of @entity64 location were also not associated with @entity27 presence. CONCLUSIONS: These results indicate that @entity27 is present in the majority of @entity64 @entity1 and imply that @entity64 location cannot be used to identify a group with higher risk of @entity27 . The results also suggest that @entity27 likely predated the @entity64 . Given this high overall prevalence, strong consideration should be given to obtaining polysomnography for all @entity385 @entity1 .
