Literature DB >> 20228025

Utility of ApneaLink for the diagnosis of sleep apnea-hypopnea syndrome.

Carlos A Nigro1, Fernando Serrano, Silvia Aimaretti, Sergio González, Carlos Codinardo, Edgardo Rhodius.   

Abstract

Portable sleep studies may play an important role to take decisions on patients referred for suspicion of Sleep Apnea-Hypopnea Syndrome (SAHS). The aim of this study was to evaluate the diagnostic accuracy of automated analysis of ApneaLink in patients with suspicion of SAHS. All participants (75) performed the ApneaLink and polysomnography (PSG) simultaneously in the sleep laboratory. The two recordings were interpreted blindly. The ApneaLink software calculated: (1) risk indicator (RI)-a combination of apnea/hypopnea index (AHI) plus inspiratory flow limitation events and (2) the AHI. ApneaLink and SAHS were defined in three ways: AHI or respiratory disturbance index (RDI) >or= 5, 10 and 15 respectively. ROC curves analysis was performed. The sensitivity (S), specificity (E) and positive and negative likelihood ratio (LR+, LR-) for the different thresholds for RI or AHI were calculated; 66 patients were included (47 men, mean age 51, median RDI 10.6, mean BMI 29.3 kg/m2). The best cut off points of RI were: SAHS = RDI >or= 5: RI > 9 (S 80%, E 100%, LR- 0.20); SAHS =RDI >or= 10: RI > 13 (S 92%, E 93%, LR+ 13.7 LR- 0.089); SAHS = RDI >or= 15 =: RI > 16 (S 93.5%, E 91%, LR+10.9, LR- 0.071). The AHI had a similar diagnostic accuracy to RI for the different definitions of SAHS. The RI and AHI obtained from automated analysis of ApneaLink were highly sensitive and specific to diagnose moderate to severe SAHS.

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Year:  2010        PMID: 20228025

Source DB:  PubMed          Journal:  Medicina (B Aires)        ISSN: 0025-7680            Impact factor:   0.653


  22 in total

1.  Diagnostic accuracy of level IV portable sleep monitors versus polysomnography for obstructive sleep apnea: a systematic review and meta-analysis.

Authors:  Lusine Abrahamyan; Yeva Sahakyan; Suzanne Chung; Petros Pechlivanoglou; Joanna Bielecki; Steven M Carcone; Valeria E Rac; Michael Fitzpatrick; Murray Krahn
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2.  Comparison of the automatic analysis versus the manual scoring from ApneaLink™ device for the diagnosis of obstructive sleep apnoea syndrome.

Authors:  Carlos Alberto Nigro; Eduardo Dibur; Silvia Aimaretti; Sergio González; Edgardo Rhodius
Journal:  Sleep Breath       Date:  2010-10-03       Impact factor: 2.816

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9.  Prediction of sleep-disordered breathing after stroke.

Authors:  Devin L Brown; Kevin He; Sehee Kim; Chia-Wei Hsu; Erin Case; Ronald D Chervin; Lynda D Lisabeth
Journal:  Sleep Med       Date:  2020-05-15       Impact factor: 3.492

10.  Detection of sleep disordered breathing and its central/obstructive character using nasal cannula and finger pulse oximeter.

Authors:  Dirk Sommermeyer; Ding Zou; Ludger Grote; Jan Hedner
Journal:  J Clin Sleep Med       Date:  2012-10-15       Impact factor: 4.062

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