Cognitive profiles in obstructive sleep apnea: a cluster analysis in sleep clinic and community samples

被引:19
作者
Olaithe, Michelle [1 ]
Pushpanathan, Maria [1 ]
Hillman, David [2 ,3 ]
Eastwood, Peter R. [2 ,3 ]
Hunter, Michael [4 ,5 ]
Skinner, Timothy [6 ]
James, Alan [3 ,4 ]
Wesnes, Keith A. [7 ,8 ]
Bucks, Romola S. [1 ]
机构
[1] Univ Western Australia, Sch Psychol Sci, 35 Stirling Highway, Perth, WA 6009, Australia
[2] Univ Western Australia, Ctr Sleep Sci, Sch Human Sci, Perth, WA, Australia
[3] Sir Charles Gairdner Hosp, West Australian Sleep Disorders Res Inst, Dept Pulm Physiol & Sleep Med, Nedlands, WA, Australia
[4] Busselton Populat Med Res Inst, Busselton, WA, Australia
[5] Univ Western Australia, Sch Populat & Global Hlth, Nedlands, WA, Australia
[6] Univ Copenhagen, Dept Psychol, Copenhagen, Denmark
[7] Swinburne Univ Technol, Ctr Human Psychopharmacol, Melbourne, Vic, Australia
[8] Northumbria Univ, Dept Psychol, Newcastle Upon Tyne, Tyne & Wear, England
来源
JOURNAL OF CLINICAL SLEEP MEDICINE | 2020年 / 16卷 / 09期
关键词
OSA; cognition; cognitive reserve; attention; memory; comorbidity; AIRWAY PRESSURE TREATMENT; EXECUTIVE DYSFUNCTION; CONSTRUCT-VALIDITY; DAYTIME SLEEPINESS; MEMORY; AGE; ARMODAFINIL; PERFORMANCE; DEFICITS; RESERVE;
D O I
10.5664/jcsm.8564
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
Study Objectives: Although cognitive dysfunction is a recognized consequence of untreated obstructive sleep apnea (OSA), the deficit pattern is heterogeneous. Understanding this heterogeneity may identify those at risk of cognitive deficits and guide intervention strategies. To facilitate understanding, we examined whether distinct profiles of neuropsychological performance were present in OSA and, if so, how they are related to other OSA features. Methods: We studied sleep clinic (n = 121) and community (n = 398) samples with moderate-severe OSA (apnea-hypopnea index 15 events/h). Attention and memory were assessed using the Cognitive Drug Research system. Sleep was assessed using polysomnography in the clinic sample and dual channel (flow, oximetry) portable monitoring in the community sample. Latent profile analysis was used to determine structure of cognitive clusters. Discriminant function analysis was used to examine associations between nocturnal and diurnal features of OSA and profile membership. Results: Both samples were best characterized by a 3-profile solution: (1) strong thinkers (performed well across most domains and showed greater cognitive reserve); (2) inattentive fast thinkers (strong processing speed but poor ability to maintain attention); and (3) accurate slow thinkers (strengths in maintaining attention but poor processing speed). Profile membership was associated with mean overnight oxygen saturation and cognitive reserve in the clinic sample and the presence of cardiovascular disease and/or diabetes in the community sample. Conclusions: These findings help explain the diversity of outcomes in previous studies of cognitive dysfunction in OSA by demonstrating that individual differences in cognitive reserve, nocturnal oxygen saturation, and comorbidities affect how cognition is impacted by OSA.
引用
收藏
页码:1493 / 1505
页数:13
相关论文
共 57 条
[1]   Validation of ApneaLink Ox™ for the diagnosis of obstructive sleep apnea [J].
Alberto Nigro, Carlos ;
Dibur, Eduardo ;
Malnis, Silvana ;
Grandval, Sofia ;
Nogueira, Facundo .
SLEEP AND BREATHING, 2013, 17 (01) :259-266
[2]   Sleep apnea-related cognitive deficits and intelligence: an implication of cognitive reserve theory [J].
Alchanatis, M ;
Zias, N ;
Deligiorgis, N ;
Amfilochiou, A ;
Dionellis, G ;
Orphanidou, D .
JOURNAL OF SLEEP RESEARCH, 2005, 14 (01) :69-75
[3]   Comparison of cognitive performance among different age groups in patients with obstructive sleep apnea [J].
Alchanatis, Manos ;
Zias, Nikolaos ;
Deligiorgis, Nikolaos ;
Liappas, Ioannis ;
Chroneou, Alexandra ;
Soldatos, Constantin ;
Roussos, Charis .
SLEEP AND BREATHING, 2008, 12 (01) :17-24
[4]   The economic impact of obstructive sleep apnea [J].
AlGhanim, Nayef ;
Comondore, Vikram R. ;
Fleetham, John ;
Marra, Carlo A. ;
Ayas, Najib T. .
LUNG, 2008, 186 (01) :7-12
[5]  
Aloia Mark S, 2004, Behav Sleep Med, V2, P205, DOI 10.1207/s15402010bsm0204_3
[6]   Neuropsychological sequelae of obstructive sleep apnea-hypopnea syndrome: A critical review [J].
Aloia, MS ;
Arnedt, JT ;
Davis, JD ;
Riggs, RL ;
Byrd, D .
JOURNAL OF THE INTERNATIONAL NEUROPSYCHOLOGICAL SOCIETY, 2004, 10 (05) :772-785
[7]   Obstructive Sleep Apnea and Age A Double Insult to Brain Function? [J].
Ayalon, Liat ;
Ancoli-Israel, Sonia ;
Drummond, Sean P. A. .
AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE, 2010, 182 (03) :413-419
[8]   Neurobehavioral effects of obstructive sleep apnea: an overview and heuristic model [J].
Beebe, DW .
CURRENT OPINION IN PULMONARY MEDICINE, 2005, 11 (06) :494-500
[9]   Estimation of the global prevalence and burden of obstructive sleep apnoea: a literature-based analysis [J].
Benjafield, Adam V. ;
Ayas, Najib T. ;
Eastwood, Peter R. ;
Heinzer, Raphael ;
Ip, Mary S. M. ;
Morrell, Mary J. ;
Nunez, Carlos M. ;
Patel, Sanjay R. ;
Penzel, Thomas ;
Pepin, Jean-Louis D. ;
Peppard, Paul E. ;
Sinha, Sanjeev ;
Tufik, Sergio ;
Valentine, Kate ;
Malhotra, Atul .
LANCET RESPIRATORY MEDICINE, 2019, 7 (08) :687-698
[10]   Virchow-Robin Spaces: Correlations with Polysomnography-Derived Sleep Parameters [J].
Berezuk, Courtney ;
Ramirez, Joel ;
Gao, Fuqiang ;
Scott, Christopher J. M. ;
Huroy, Menal ;
Swartz, Richard H. ;
Murray, Brian J. ;
Black, Sandra E. ;
Boulos, Mark I. .
SLEEP, 2015, 38 (06) :853-858