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000162920 037__ $$aDZNE-2021-01573
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000162920 1001_ $$aZacharias, Helena U$$b0
000162920 245__ $$aAssociation Between Obstructive Sleep Apnea and Brain White Matter Hyperintensities in a Population-Based Cohort in Germany.
000162920 260__ $$aChicago, Ill.$$bAmerican Medical Association$$c2021
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000162920 520__ $$aUnderlying pathomechanisms of brain white matter hyperintensities (WMHs), commonly observed in older individuals and significantly associated with Alzheimer disease and brain aging, have not yet been fully elucidated. One potential contributing factor to WMH burden is chronic obstructive sleep apnea (OSA), a disorder highly prevalent in the general population with readily available treatment options.To investigate potential associations between OSA and WMH burden.Analyses were conducted in 529 study participants of the Study of Health in Pomerania-Trend baseline (SHIP-Trend-0) study with complete WMH, OSA, and important clinical data available. SHIP-Trend-0 is a general population-based, cross-sectional, observational study to facilitate the investigation of a large spectrum of common risk factors, subclinical disorders, and clinical diseases and their relationships among each other with patient recruitment from Western Pomerania, Germany, starting on September 1, 2008, with data collected until December 31, 2012. Data analysis was performed from February 1, 2019, to January 31, 2021.The apnea-hypopnea index (AHI) and oxygen desaturation index (ODI) were assessed during a single-night, laboratory-based polysomnography measurement.The primary outcome was WMH data automatically segmented from 1.5-T magnetic resonance images.Of 529 study participants (mean [SD] age, 52.15 [13.58] years; 282 female [53%]), a total of 209 (40%) or 102 (19%) individuals were diagnosed with OSA according to AHI or ODI criteria (mean [SD] AHI, 7.98 [12.55] events per hour; mean [SD] ODI, 3.75 [8.43] events per hour). Both AHI (β = 0.024; 95% CI, 0.011-0.037; P <.001) and ODI (β = 0.033; 95% CI, 0.014-0.051; P <. 001) were significantly associated with brain WMH volumes. These associations remained even in the presence of additional vascular, metabolic, and lifestyle WMH risk factors. Region-specific WMH analyses found the strongest associations between periventricular frontal WMH volumes and both AHI (β = 0.0275; 95% CI, 0.013-0.042, P < .001) and ODI (β = 0.0381; 95% CI, 0.016-0.060, P < .001) as well as periventricular dorsal WMH volumes and AHI (β = 0.0165; 95% CI, 0.004-0.029, P = .008).This study found significant associations between OSA and brain WMHs, indicating a novel, potentially treatable WMH pathomechanism.
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000162920 650_2 $$2MeSH$$aAdult
000162920 650_2 $$2MeSH$$aAged
000162920 650_2 $$2MeSH$$aAging: physiology
000162920 650_2 $$2MeSH$$aCohort Studies
000162920 650_2 $$2MeSH$$aCross-Sectional Studies
000162920 650_2 $$2MeSH$$aFemale
000162920 650_2 $$2MeSH$$aGermany: epidemiology
000162920 650_2 $$2MeSH$$aHumans
000162920 650_2 $$2MeSH$$aMagnetic Resonance Imaging: methods
000162920 650_2 $$2MeSH$$aMagnetic Resonance Imaging: statistics & numerical data
000162920 650_2 $$2MeSH$$aMale
000162920 650_2 $$2MeSH$$aMiddle Aged
000162920 650_2 $$2MeSH$$aSleep Apnea, Obstructive: complications
000162920 650_2 $$2MeSH$$aSleep Apnea, Obstructive: diagnostic imaging
000162920 650_2 $$2MeSH$$aSleep Apnea, Obstructive: epidemiology
000162920 650_2 $$2MeSH$$aWhite Matter: abnormalities
000162920 650_2 $$2MeSH$$aWhite Matter: physiopathology
000162920 7001_ $$aWeihs, Antoine$$b1
000162920 7001_ $$0P:(DE-2719)9000112$$aHabes, Mohamad$$b2$$udzne
000162920 7001_ $$0P:(DE-2719)2810491$$aWittfeld, Katharina$$b3$$udzne
000162920 7001_ $$aFrenzel, Stefan$$b4
000162920 7001_ $$aRashid, Tanweer$$b5
000162920 7001_ $$aStubbe, Beate$$b6
000162920 7001_ $$aObst, Anne$$b7
000162920 7001_ $$aSzentkirályi, András$$b8
000162920 7001_ $$aBülow, Robin$$b9
000162920 7001_ $$aBerger, Klaus$$b10
000162920 7001_ $$aFietze, Ingo$$b11
000162920 7001_ $$aPenzel, Thomas$$b12
000162920 7001_ $$aHosten, Norbert$$b13
000162920 7001_ $$aEwert, Ralf$$b14
000162920 7001_ $$aVölzke, Henry$$b15
000162920 7001_ $$0P:(DE-2719)2811781$$aGrabe, Hans$$b16$$eLast author$$udzne
000162920 773__ $$0PERI:(DE-600)2931249-8$$a10.1001/jamanetworkopen.2021.28225$$gVol. 4, no. 10, p. e2128225 -$$n10$$pe2128225$$tJAMA network open$$v4$$x2574-3805$$y2021
000162920 8564_ $$uhttps://jamanetwork.com/journals/jamanetworkopen/fullarticle/2784763
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