1. Screening for Severe Obstructive Sleep Apnea Syndrome in Hypertensive Outpatients.
- Author
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Gurubhagavatula, Indira, Fields, Barry G., Morales, Christian R, Hurley, Sharon, Pien, Grace W, Wick, Lindsay C., Staley, Bethany A., Townsend, Raymond R, and Maislin, Greg
- Abstract
The authors attempted to validate a 2-stage strategy to screen for severe obstructive sleep apnea syndrome (s- OSAS) among hypertensive outpatients, with polysomnography ( PSG) as the gold standard. Using a prospective design, outpatients with hypertension were recruited from medical outpatient clinics. Interventions included (1) assessment of clinical data; (2) home sleep testing ( HST); and (3) 12-channnel, in-laboratory PSG. The authors developed models using clinical or HST data alone (single-stage models) or clinical data in tandem with HST (2-stage models) to predict s- OSAS. For each model, area under receiver operating characteristic curves ( AUCs), sensitivity, specificity, negative likelihood ratio, and negative post-test probability ( NPTP) were computed. Models were then rank-ordered based on AUC values and NPTP. HST used alone had limited accuracy ( AUC=0.727, NPTP=2.9%). However, models that used clinical data in tandem with HST were more accurate in identifying s- OSAS, with lower NPTP: (1) facial morphometrics ( AUC=0.816, NPTP=0.6%); (2) neck circumference ( AUC=0.803, NPTP=1.7%); and Multivariable Apnea Prediction Score ( AUC=0.799, NPTP=1.5%) where sensitivity, specificity, and NPTP were evaluated at optimal thresholds. Therefore, HST combined with clinical data can be useful in identifying s- OSAS in hypertensive outpatients, without incurring greater cost and patient burden associated with in-laboratory PSG. These models were less useful in identifying obstructive sleep apnea syndrome of any severity. [ABSTRACT FROM AUTHOR]
- Published
- 2013
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