Evidence map›Paper›PMID 37106470›Full record

ArticleBMC geriatrics2023

Sleep movements and respiratory coupling as a biobehavioral metric for early Alzheimer's disease in independently dwelling adults.

Somayeh Khosroazad, Christopher F Gilbert, Jessica B Aronis, Katrina M Daigle, Masoumeh Esfahani, Ahmed Almaghasilah, Fayeza S Ahmed, Merrill F Elias, Thomas M Meuser, Leonard W Kaye and 3 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC geriatrics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
2.0field-weighted citation impact, top 14% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Friends and Foes in Alzheimer's Disease.Medical principles and practice : international journal of the Kuwait University, Health Science Centre · 2023
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors at 4 institutions in 1 country.

Somayeh KhosroazadElectrical and Computer Engineering, University of Maine, 5708 Barrows Hall, Orono, ME, 04469, USA.
Christopher F GilbertActivas Diagnostics, LLC, 20 Godfrey Dr., Orono, ME, 04473, USA.
Jessica B AronisActivas Diagnostics, LLC, 20 Godfrey Dr., Orono, ME, 04473, USA.
Katrina M DaiglePsychology Department, Suffolk University, 73 Tremont St., Boston, MA, 02108, USA.
Masoumeh EsfahaniActivas Diagnostics, LLC, 20 Godfrey Dr., Orono, ME, 04473, USA.
Ahmed AlmaghasilahElectrical and Computer Engineering, University of Maine, 5708 Barrows Hall, Orono, ME, 04469, USA.
Fayeza S AhmedPsychology Department, University of Maine, 5740 Beryl Warner Williams Hall, Orono, ME, 5740-04469, USA.
Merrill F EliasPsychology Department, University of Maine, 5740 Beryl Warner Williams Hall, Orono, ME, 5740-04469, USA.
Thomas M MeuserCenter for Excellence On Aging, University of New England, 11 Hills Beach Rd., Biddeford, ME, 04005, USA.
Leonard W KayeCenter On Aging, University of Maine, 327 Camden Hall, Orono, ME, 04469, USA.
Clifford M SingerPsychology Department, University of Maine, 5740 Beryl Warner Williams Hall, Orono, ME, 5740-04469, USA.
Ali AbediElectrical and Computer Engineering, University of Maine, 5708 Barrows Hall, Orono, ME, 04469, USA.
Marie J HayesActivas Diagnostics, LLC, 20 Godfrey Dr., Orono, ME, 04473, USA. mhayes@maine.edu.
University of Maine · USWilliams (United States) · USSuffolk University · USUniversity of New England · US

Funding

The Association of Late-Life Depression, Cognitive Functioning, and Sleep Disorder in AgingR44AG059536 · NIA · ACTIVAS DIAGNOSTICS, LLC · PI ABEDI, ALI, HAYES, MARIE J · 2018 to 2019
$1.1M
NIA NIH HHS R44 AG059536
6 · The paper itself

Abstract

introductionSleep disorder is often the first symptom of age-related cognitive decline associated with Alzheimer's disease (AD) observed in primary care. The relationship between sleep and early AD was examined using a patented sleep mattress designed to record respiration and high frequency movement arousals. A machine learning algorithm was developed to classify sleep features associated with early AD.

methodCommunity-dwelling older adults (N = 95; 62-90 years) were recruited in a 3-h catchment area. Study participants were tested on the mattress device in the home bed for 2 days, wore a wrist actigraph for 7 days, and provided sleep diary and sleep disorder self-reports during the 1-week study period. Neurocognitive testing was completed in the home within 30-days of the sleep study. Participant performance on executive and memory tasks, health history and demographics were reviewed by a geriatric clinical team yielding Normal Cognition (n = 45) and amnestic MCI-Consensus (n = 33) groups. A diagnosed MCI group (n = 17) was recruited from a hospital memory clinic following diagnostic series of neuroimaging biomarker assessment and cognitive criteria for AD.

resultsIn cohort analyses, sleep fragmentation and wake after sleep onset duration predicted poorer executive function, particularly memory performance. Group analyses showed increased sleep fragmentation and total sleep time in the diagnosed MCI group compared to the Normal Cognition group. Machine learning algorithm showed that the time latency between movement arousals and coupled respiratory upregulation could be used as a classifier of diagnosed MCI vs. Normal Cognition cases. ROC diagnostics identified MCI with 87% sensitivity; 89% specificity; and 88% positive predictive value. DISCUSSION: AD sleep phenotype was detected with a novel sleep biometric, time latency, associated with the tight gap between sleep movements and respiratory coupling, which is proposed as a corollary of sleep quality/loss that affects the autonomic regulation of respiration during sleep. Diagnosed MCI was associated with sleep fragmentation and arousal intrusion.

Indexed as

Alzheimer DiseaseCognitive DysfunctionCognitionHumansNeuropsychological TestsSleepSleep DeprivationAgingAlzheimer’ Disease and Related Disorders (ADRD)Amnestic type (aMCI)Arousal systemArtificial intelligenceHome sleep deviceMemory lossMild Cognitive ImpairmentRespirationSleep disorderSleep movements

Identifiers

PMID37106470
PMCPMC10141904
OpenAlexW4367172299

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.