Objective home sleep profiles differentiate Alzheimer disease from α‐synucleinopathies. (31st December 2021)

• Record Type: Journal Article
• Authors: Levendowski, Daniel J.; Boeve, Bradley F.; Neylan, Thomas; Walsh, Christine M.; Tsuang, Debby W.; Salat, David H.; Hamilton, Joanne M.; Ruoff, Leslie; Payne, Sarah; Shprecher, David; Lee‐Iannotti, Joyce; Westbrook, Philip R.; Berka, Chris; Mazeika, Gandis; St. Louis, Erik K.
• Is Part Of: Alzheimer's & dementia. Volume 17(2021)Supplement 5
• Page Start: n/a
• Page End: n/a
• Publication Date: 2021-12-31
• Subjects: Alzheimer's disease -- Periodicals; Alzheimer Disease -- Periodicals; Dementia -- Periodicals; Démence; Maladie d'Alzheimer; Périodique électronique (Descripteur de forme); Ressource Internet (Descripteur de forme); 616.83
• DOI: 10.1002/alz.052238
• Languages: English
• ISSNs: 1552-5260

Abstract

Abstract: Background: Neurodegenerative disease (NDD) is associated with sleep disturbances, including decreased stage N3 and REM sleep and reduced spindle activity. Further, supine sleep position may impact NDD risk by altering glymphatic clearance. This study evaluated conventional and exploratory sleep metrics in the differentiation of subjects with normal cognition (NC) and patients with Alzheimer's disease dementia (AD) and alpha‐synucleinopathies (α‐Syn). Method: Home sleep data were acquired across multiple study sites using the self‐applied Sleep Profiler TM, including 44 NC subjects (age=69+ 5.0), 22 patients diagnosed with AD (age=75+ 7.1) and 25 with α‐Syn (Parkinson's disease=14, Parkinson's disease with Dementia or Dementia with Lewy Bodies=11; age=69+ 6.9). Recordings were auto‐staged and technically reviewed, with 86% of the records having two‐night averages. Logistic regression and Mann‐Whitney U tests were used to characterize group differences based on age, conventional sleep metrics (i.e., sleep efficiency, sleep onset (SO), awakenings, percent of sleep time (%) in REM, N1, N2 and N3, and sleep spindles) and exploratory sleep measures [i.e., % supine, % Light N2 (L2=N2 epochs absent of spindles with K‐complexes and/or alpha or EMG (>40 Hz) intrusion), % NREM sleep with hypertonia (NRSH=> 4 consecutive epochs with persistently elevated EMG power relative to delta and theta power) and % atypical N3 (AN3=epochs staged N3 with low theta and sigma power relative to delta, alpha, beta and EMG)]. Result: AD were older than both NC and α‐Syn patients (p<0.005). Both AD and α‐Syn had lower %REM and greater %supine than NC (p<0.005), and %NRSH was greater in α‐Syn than NC or AD (p<0.005). Based on logistic regression, AD was differentiated from NC based on age, %REM, %L2 (p< 0.05) and %supine (p=0.06). α‐Syn was distinguished from NC using both conventional (%N3 and SO, p<0.05) and exploratory sleep metric (%AN3 and %NRSH, p< 0.05; %supine, p=0.06). Age (p=0.05) and %NRSH (p<0.01) were the only metrics that differentiated α‐Syn from AD. Conclusion: Objective home sleep profiles hold promise for differentiating NDD patients from NC. The sleep metrics that provided the greatest distinction between NDD and NC were %REM, %supine and NRSH, while only NRSH distinguished AD from α‐Syn patients. Further confirmatory studies are underway.