Validation of two depression screening instruments in a sleep disorders clinic.

Autor:	Law M; Alfred Hospital & Monash University, Melbourne, Australia., Naughton MT; Alfred Hospital & Monash University, Melbourne, Australia., Dhar A; Baker IDI Heart & Diabetes Institute, Monash Health, Melbourne, Australia., Barton D; Baker IDI Heart & Diabetes Institute, Monash Health, Melbourne, Australia., Dabscheck E; Alfred Hospital & Monash University, Melbourne, Australia.
Jazyk:	angličtina
Zdroj:	Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine [J Clin Sleep Med] 2014 Jun 15; Vol. 10 (6), pp. 683-8. Date of Electronic Publication: 2014 Jun 15.
DOI:	10.5664/jcsm.3802
Abstrakt:	Study Objectives: Depression is a commonly diagnosed comorbidity in sleep disorder clinics. However, screening instruments for major depressive episode (MDE) have not been validated in this setting. We aimed to validate the Hospital Anxiety and Depression Scale (HADS) and the Beck Depression Inventory - Fast Screen (BDI-FS) with the Mini International Neuropsychiatric Interview (MINI) in patients with suspected obstructive sleep apnea (OSA). Design: Cross-sectional study. Setting: Academic center. Participants: One hundred one new patients with a clinical suspicion of OSA, as assessed by a sleep physician. Measurements: MDE, generalized anxiety disorder (GAD), and panic disorder (PD) were assessed by (1) a diagnostic interview utilizing the MINI and (2) by two self-report questionnaires: HADS and BDI-FS. A receiver operating characteristic (ROC) analysis was undertaken to assess which HADS and BDI-FS threshold yielded the highest correlation for a diagnosis of MDE and/or GAD/PD as assessed with an interview conducted using the MINI. Results: A HADS-Depression score ≥ 8 gave optimal sensitivity (83.1%) and specificity (83.3%) with an area under the ROC curve (AUC) 0.851 for predicting the diagnosis of MDE. A HADS-Anxiety score ≥ 11 gave an optimal sensitivity (93.1%) and specificity (84.7%) with an AUC 0.911 for predicting the diagnosis of GAD/PD. A BDI-FS threshold ≥ 6 gave optimal sensitivity (86.7%) and specificity (82.9%) with an AUC 0.897 for MDE. Conclusion: The HADS and BDI-FS are accurate screening instruments with high concurrent validity for identifying the probability of a patient having MDE and-in the case of HADS-GAD and PD disorder in a sleep disorders clinic.
Databáze:	MEDLINE
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