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GCRC Success Story

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Sleep Fragmentation and Attention in Persons with Alzheimer's Disease ... Feasibility Study: Reaction Time in the Home for Persons with Alzheimer's Disease. ... – PowerPoint PPT presentation

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Title: GCRC Success Story


1
GCRC Success Story
  • Catherine S. Cole DNSc, APRN, BC
  • Assistant Professor
  • College of Nursing/UAMS

2
Turtle on a Fencepost?
3
(No Transcript)
4
Sleep Fragmentation and Attention in Persons
with Alzheimers Disease
  • Hartford Postdoctoral Fellow
  • GCRC Pilot Funds
  • Beverly Healthcare Corporation
  • Hartford Faculty Research Scholar
  • CON Intramural Grant
  • K23 Career Development Award (NIH)
  • TBIRC Pilot Funds

5
Sleep and Functional Status.
  • Purpose
  • Describe the relationship of sleep to functional
    status.
  • Method
  • Two nights of polysomnography (n 25) in the
    nursing home.
  • Functional status (Nursing Home Physical
    Performance Test).
  • Findings
  • Mean Age 83.4, MMSE13.2
  • Mean time in bed 528.7 (sd56.4)
  • Total sleep time 369.6 (sd73.7)
  • Mean number of spontaneous wakings was 14.8
    (sd6.5)
  • Correlations between functional status
  • time in bed (p.011)
  • total sleep time (p.010)
  • Participants with ? time in bed and ?minutes of
    nighttime sleep demonstrated ?function. Support
    John A Hartford Foundation R01NRAG07771.

6
What effect does disturbed sleep have on
cognition in persons with AD?
  • In about 23 of persons with AD neuronal
    deterioration results in behavioral state
    instability.
  • ?Nighttime wakefulness.
  • ?Daytime alertness.
  • Impaired cognition.
  • Could disturbed sleep from other causes have
    additive adverse effects on cognition?
  • How can we separate the confound of Alzheimers
    disease and disturbed sleep on cognition?

7
Sleep Cognition in Residents of Long Term Care
(Feasibility)
  • Specific Aims
  • Describe sample
  • Well characterized sample?
  • Dementia severity?
  • MMSE gt 15?
  • Describe sleep disturbances.
  • Method
  • Secondary data analysis.

8
Findings
  • Specific Aim 1
  • 80 participants in the dataset at the time of
    analysis.
  • 57 unspecified dementia.
  • 23 AD.
  • Mean MMSE 12.
  • No severity rating.
  • Specific Aim 2
  • Mean minutes of nighttime sleep 369.83.
  • Mean sleep efficiency was 71.
  • Mean 46.3 awakenings per night.

9
Conclusions
  • Although sleep fragmentation is a striking
    problem in long term care facilities, it was not
    feasible to study sleep and attention in this
    setting due to difficulties in recruiting a well
    defined sample and measuring attention in persons
    with more severe AD.

10
Feasibility Study Sleep and Cognition in the
Community
  • Specific Aims
  • Evaluate feasibility of the community setting.
  • Methods
  • Secondary analysis.
  • Findings
  • Frequently disrupted sleep due to environmental
    factors
  • pets
  • ringing telephones
  • electrical interference (60 Hertz)
  • family members presence reduced anxiety.
  • Conclusions
  • It would be preferable to conduct the proposed
    study in a controlled laboratory environment with
    a caregiver in attendance.

11
GCRC Protocol 0405 Tone Induced Sleep
Fragmentation
  • This experiment was designed to mimic 1 type of
    sleep fragmentation seen in long term care
    facilities due to environmental noise.
  • Tones (via audiometer) were repeated periodically
    throughout the night to cause the participant to
    awaken (limited to 85 decibels).
  • Cognition was measured before and after 1 night
    of sleep fragmentation.

12
Questions
  • 1) Will people with AD tolerate the earphone
    needed for the tone-induced sleep fragmentation
    method?
  • 2) Can a sleep technician recognize awakenings
    and arousals after tones in real time?
  • 3) What percent of tones produce an awakening?
  • 4) What percent of persons with AD can complete
    the cognitive tests?

13
The Effect of Sleep Fragmentation on Attention in
Persons with AD (PWAD).
  • Specific aims
  • Pilot an experimental method using sound to
    induce sleep fragmentation in PWAD.
  • Design
  • Repeated measures.
  • Results
  • Tones 33 / Behavioral awakenings 27.
  • Tones from 70-85 dB produced arousals.

14
Data Collection Schedule
15
Participants
16
Participants Sleep
17
Sleep Fragmentation
18
Findings
  • 1) People with AD were able to tolerate the
    earphone.
  • 2) We were able to score a sleep study in real
    time.
  • 3) Only approximately 50 of the tones resulted
    in awakenings.
  • 4) 100 of the participants were able to complete
    the cognitive tests.

19
Additional questions
  • 1) Did we really have good sleepers in this group
    of participants?
  • Even self reported good sleepers had an average
    of 31 awakenings on night one of this study.
  • The average apnea/hypopnea index was 7.4
  • 2) Is subjective report of sleep adequate to
    establish inclusion criteria?
  • 3) Should the cut-off for inclusion be lowered to
    an apnea/hypopnea index of 5 instead of 10?

20
The Effect of Sleep Fragmentation on Attention in
AD
21
Next Steps
  • K23
  • Sleep Fragmentation and Attention in AD.
  • TBIRC Pilot
  • Feasibility Study Reaction Time in the Home for
    Persons with Alzheimers Disease.
  • R15 AREA Submitted
  • Feasibility Study Attention Measures in Persons
    with Alzheimers Disease.
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