D Di ia ag gn no os st ti ic c a ac cc cu ur ra ac cy y o of f a a p po or rt ta ab bl le e r re ec co or rd di in ng g d de ev vi ic ce e ( (M ME ES SA AM M I IV V) ) i in n s su us sp pe ec ct te ed d o ob bs st tr ru uc ct ti iv ve e s sl le ee ep p a ap pn no oe ea a S. Esnaola*, J. Durán**, C. Infante-Rivard + , R. Rubio**, A. Fernández + Diagnostic accuracy of a portable recording device (MESAM IV) in suspected obstructive sleep apnoea. S. Esnaola, J. Durán, C. Infante-Rivard, R. Rubio, A. Fernández. ERS Journals Ltd 1996. ABSTRACT: This study evaluated the accuracy of a portable recording device (MESAM IV) in identifying obstructive sleep apnoea (OSA).The MESAM IV system measures arterial oxygen saturation (Sa,O 2 ), heart rate, snoring sounds and body position, and allows both automatic and manual scoring of the recordings. Nocturnal polysomnography and MESAM IV recordings were performed simultaneously in 150 patients with suspected OSA, and were analysed blindly by a different observer. Patients with an apnoea-hypopnoea index (AHI) greater than or equal to 10 were diagnosed as having OSA. In the evaluation of the discriminatory ability of MESAM IV scores, the cut-off point was set to minimize first the exclusion of truly diseased patients (i.e. false-negative interpretations), and then the confirmation of nondiseased subjects (i.e. false-positives).When used as an exclusion test, the portable device reached a sensitivity of 0.98 and a specificity of 0.78; as a confirmation test, these values were 0.69 and 0.97, respectively. These results were achieved with manual scoring, which was superior to automatic scoring. Manual scoring was also better than automatic scoring when OSA was defined according to other threshold values (≥5, 15 and 20) for the AHI.The combination of MESAM IV manual scores could reduce the need for diagnostic polysomnography in three quarters of the patients clinically suspected of having obstructive sleep apnoea, substantially reducing costs associated with diagnostic procedures.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.