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Improvement of Cognitive Function after Continuous Positive Airway Pressure Treatment for Subacute Stroke Patients with Obstructive Sleep Apnea: A Randomized Controlled Trial

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Abstract and Figures

Background: Obstructive sleep apnea (OSA) is common after stroke. Various studies on continuous positive airway pressure (CPAP) therapy for OSA after stroke have been published. However, there have been no studies from Korea and Asia. The present Korean study aimed to determine whether CPAP treatment during inpatient rehabilitation of stroke patients with sleep disorders, especially OSA, improves function, cognition, sleep quality, and daytime sleepiness. Methods: This single-blind randomized controlled study included 40 stroke patients with OSA between November 2017 and November 2018. The patients were divided into the CPAP treatment group (CPAP and rehabilitation; n = 20) and control group (only rehabilitation; n = 20). The intervention period was 3 weeks. The primary outcomes were function and cognition improvements, and the secondary outcomes were sleep-related improvements. Results: CPAP treatment started at an average of 4.6 ± 2.8 days after admission. Both groups showed improvements in stroke severity, function, and cognition after the 3-week intervention. However, after the intervention, the degree of change in attention and calculation was significantly higher in the CPAP treatment group than in the control group. Additionally, the improvements in sleep quality and daytime sleepiness were greater in the CPAP treatment group than in the control group. Conclusion: CPAP treatment can improve cognitive function, sleep quality, and daytime sleepiness, and it should be considered as part of the rehabilitation program for patients with stroke. Our findings might help in the treatment of stroke patients with OSA in Korea.
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brain
sciences
Article
Improvement of Cognitive Function after Continuous
Positive Airway Pressure Treatment for Subacute
Stroke Patients with Obstructive Sleep Apnea:
A Randomized Controlled Trial
Howook Kim 1, Soobin Im 1, Jun il Park 1, Yeongwook Kim 1, Min Kyun Sohn 1,2,3 and
Sungju Jee 1,2,3,*
1Department of Rehabilitation Medicine, Chungnam National University Hospital, Daejeon 35015, Korea;
bulam5630@cnu.ac.kr (H.K.); ysbcool@cnuh.co.kr (S.I.); uniwater@naver.com (J.i.P.);
kyu0922@cnuh.co.kr (Y.K.); mksohn@cnuh.co.kr (M.K.S.)
2Daejeon Chungcheong Regional Cardiocerebrovascular Center, Chungnam National University Hospital,
Daejeon 35015, Korea
3Daejeon Chungcheong Regional Medical Rehabilitation Center, Chungnam National University Hospital,
Daejeon 35015, Korea
*Correspondence: drjeesungju@hanmail.net; Tel.: +82-42-338-2423; Fax: +82-42-338-2461
Received: 5 September 2019; Accepted: 23 September 2019; Published: 25 September 2019


Abstract: Background:
Obstructive sleep apnea (OSA) is common after stroke. Various studies
on continuous positive airway pressure (CPAP) therapy for OSA after stroke have been published.
However, there have been no studies from Korea and Asia. The present Korean study aimed to
determine whether CPAP treatment during inpatient rehabilitation of stroke patients with sleep
disorders, especially OSA, improves function, cognition, sleep quality, and daytime sleepiness.
Methods:
This single-blind randomized controlled study included 40 stroke patients with OSA
between November 2017 and November 2018. The patients were divided into the CPAP treatment
group (CPAP and rehabilitation; n=20) and control group (only rehabilitation; n=20). The intervention
period was 3 weeks. The primary outcomes were function and cognition improvements, and the
secondary outcomes were sleep-related improvements.
Results:
CPAP treatment started at an average
of 4.6
±
2.8 days after admission. Both groups showed improvements in stroke severity, function,
and cognition after the 3-week intervention. However, after the intervention, the degree of change in
attention and calculation was significantly higher in the CPAP treatment group than in the control
group. Additionally, the improvements in sleep quality and daytime sleepiness were greater in
the CPAP treatment group than in the control group.
Conclusion:
CPAP treatment can improve
cognitive function, sleep quality, and daytime sleepiness, and it should be considered as part of the
rehabilitation program for patients with stroke. Our findings might help in the treatment of stroke
patients with OSA in Korea.
Keywords: subacute stroke; CPAP; obstructive sleep apnea; cognition
1. Introduction
Approximately 795,000 people experience new strokes or recurrent strokes annually; 610,000 of
these are first attacks, and 185,000 are recurrent attacks [
1
]. Stroke is a major cause of disability, and it
impairs ambulation activities, activities of daily living (ADL), community integration, and quality of
life (QOL), resulting in serious personal, social, and economic losses [
1
4
]. Because stroke recurrence is
common, risk factors related to recurrence should be identified and controlled. Stroke has various risk
Brain Sci. 2019,9, 252; doi:10.3390/brainsci9100252 www.mdpi.com/journal/brainsci
Brain Sci. 2019,9, 252 2 of 13
factors [
1
], one of which is sleep disordered breathing (SDB) [
1
,
5
12
]. SDB is commonly observed after
stroke, and it aects patients’ quality of sleep and QOL [
13
16
]. In addition, SDB aects cognition and
functional recovery in patients with stroke [
17
19
]. According to Hermann et al., 60–70% of patients
with stroke have SDB, which is much higher than that of the normal population [
20
]. Other studies
have reported SDB in 50–70% of patients with acute and subacute stroke [2123].
SDB in patients with stroke can lead to neurological deterioration and prolonged
hospitalization [17,19,24,25]
, and it can aect post-stroke mortality [
16
,
26
28
] or short- and long-term
prognoses in patients with stroke [
14
,
18
,
29
,
30
]. Obstructive sleep apnea (OSA) is the most common form
of SDB, and it is caused by airflow disturbance due to airway obstruction [
31
33
]. OSA may improve
in the subacute stages after stroke, but 50% of patients with stroke may still have an apnea–hypopnea
index (AHI) >10 during the 2–3 months after onset [
34
]. Continuous positive airway pressure (CPAP)
therapy is the main treatment for OSA [
35
,
36
]. In a study of SDB in patients with acute stroke, CPAP
treatment improved patients’ exercise and function at 3 weeks after stroke onset, and compliance with
treatment was high [
29
]. In addition, the AHI was significantly lower in the CPAP group than in the
control group at 3 days after the stroke onset [37].
Parra et al. reported that the CPAP-treated group showed a significant improvement in the
modified Rankin scale (mRS) score, Canadian Cardiovascular Society scale score, and cardiovascular
disease and mortality rates compared to the control group [
38
]. According to a meta-analysis of
randomized controlled trials (RCTs) published in 2018, 10 RCTs showed neurofunctional improvement
with CPAP treatment [
39
], and improvement of long-term survival was confirmed in a study by
Parra et al. [40]
. Therefore, it is thought that the treatment of OSA after stroke has a good eect on the
recovery of function after stroke. Studies on CPAP therapy for OSA after stroke have been continuously
published [
6
,
26
,
29
,
31
,
38
41
]. In Korea and Asia, however, such studies have not been performed; thus,
it is necessary to study this topic in order to improve the recovery of patients with stroke. Therefore,
the purposes of this study were to determine whether CPAP treatment during inpatient rehabilitation
of stroke patients with sleep disorders, especially OSA, significantly improves function or cognition,
and to compare the improvement of sleep quality and daytime sleepiness scale score between patients
with and without CPAP treatment.
2. Methods
2.1. Ethical Statement
Written consent was obtained from all patients or caregivers before study participation, and the
study protocol was approved by the Institutional Review Board of Chungnam National University
Hospital approved this study (No. 2017-08-051-002). The study was also registered in the International
Clinical Trials Registry Platform database (CRiS, Clinical Research Information Service; Clinical Trial
Registration No. KCT0003688).
2.2. Study Design
This study was performed in Chungnam University Hospital hospital, Republic of Korea
using a single-blind RCT design. Staat our hospital treated patients with hyperacute stroke in
the cardiocerebrovascular center, and our hospital has a transfer system in the inpatient medical
rehabilitation center during the acute and subacute periods after stroke. A blinded outcome analyzer
collected cognitive and functional outcomes and sleep-related parameters. Previous studies have
defined an AHI >30/h as severe OSA, but in this study, we evaluated patients with an AHI
20/h [
42
,
43
].
Patients with OSA were randomly assigned to either a CPAP treatment group or a control group
(rehabilitation only). Clinical data were evaluated at the time of admission to the Department of
Rehabilitation Medicine and after the 3-week intervention period.
Brain Sci. 2019,9, 252 3 of 13
2.3. Patients
This prospective study collected demographic and clinical data, including residual disability,
activity limitations, and QOL, of patients with subacute stroke diagnosed by magnetic resonance
imaging (MRI) or computed tomography (CT). Among the patients who were screened from November
2017 to November 2018 (n=98), 43 patients were enrolled in this study. The data of the patients who
participated in the final evaluation after the intervention (n=40) were analyzed. The inclusion criteria
were as follows: (1) A diagnosis of cerebral infarction or hemorrhage in the brain by CT or MRI; (2) only
patients with predominant OSA (>50% of the respiratory events were obstructive type) exhibiting at
least AHI
20/h were included, except those with central apnea or mixed apnea; (3) patients between
18 and 80 years of age; (4) patients admitted within 7 days to 6 months after stroke onset; (5) patients
with cognitive functions capable of simple command obey; and (6) patients who provided informed
consent. We excluded patients with any of the following: (1) A history of traumatic brain damage or
brain tumor; (2) a diagnosis of mild-to-moderate obstructive sleep apnea (OSA); (3) baseline oxygen
saturation <95%; (4) the presence of acute or chronic cardiopulmonary diseases that aects pulmonary
function; (5) presence of neuromuscular diseases (e.g., amyotrophic lateral sclerosis and myasthenia
gravis); and (6) an unstable medical condition preventing completion of the clinical trial.
2.4. Sleep Examination
We performed bedside sleep examination using a portable polysomnography called Stardust II
(Philips Respironics Inc., Murrysville, PA, USA). This multichannel device recorded the following
diagnostic parameters: Oxygen saturation, pulse rate, nasal airflow, and respiratory eort by chest
wall motion. We performed the sleep examination from 9 PM to 6 AM, without overnight supervision.
A trained sleep technologist analyzed the sleep data using the American Academy of Sleep Medicine
criteria [
44
]. Hypopnea was defined as a reduction of airflow by
50% for at least 10 s, followed by
oxygen desaturation
3%, and apnea was defined as a reduction of airflow by
90% for at least 10 s.
Apneas with thoracic motion without chest wall motion or with an initial lack of motion followed by
respiratory eort were classified as obstructive, central, or mixed, respectively. The AHI was defined
as the mean number of apneas and hypopneas per hour. The obstructive apnea index and central
apnea index were defined as the mean numbers of obstructive apneas and central apnea events per
hour, respectively. The oxygen desaturation index (ODI) was defined as the mean number of oxygen
desaturations
3% per hour. Sleep apnea was classified as obstructive or central, according to the type
of predominant event. Predominant OSA was diagnosed when >50% of the respiratory events were of
the obstructive type [
38
]. Sleep quality was assessed before and after the intervention by using the
Epworth Sleepiness Scale (ESS) [
45
47
]. We obtained answers for the ESS from cooperative patients, or
alternatively, from patients’ relatives. The ESS assesses daytime sleepiness, and it clinically defines
a score >10 as excessive daytime sleepiness.
2.5. Randomization
After explaining the trial to the patients and receiving written informed consent, the physicians
included in the study reported to the researcher that the patient was recruited into the study.
The researcher allocated the patients to the CPAP treatment or control group using a random
number table.
2.6. Intervention
Aside from nighttime CPAP therapy, all patients underwent conventional rehabilitation of the
same degree on the schedule that was provided to them. Neither group performed treatments such
as use of CNS stimulants such as methylphenidate, cognitive rehabilitation, or non-invasive brain
stimulation. CPAP treatment was set up and monitored by one rehabilitation physician and two nurses
who worked in the stroke rehabilitation ward. Personalized instructions were given to patients and
Brain Sci. 2019,9, 252 4 of 13
caregivers before CPAP treatment, and written manuals were provided for the CPAP devices. Patients
assigned to the CPAP treatment group were given a proper nasal or oronasal mask and continuous
air pressure at night. Patients receiving CPAP treatment were treated with REMstar CPAP 60 Series
A-Flex (Philips Respironics Inc., Murrysville, PA, USA) at a pressure setting with a 12 cmH2O. Patients
were defined as having received adequate treatment if they had maintained CPAP for an average of
>4 h over 3 weeks.
2.7. Demographic Data
2.7.1. Primary Outcomes
Neurological and functional outcomes and sleep examination data were assessed before and after
the intervention. The severity of stroke was assessed by the Korean version of the National Institute
of Health Stroke Scale (NIHSS) and the functional outcome of patients by functional ambulation
categories (FAC), modified Rankin Scale (MRS), and Berg Balance Scale (BBS). The activity of daily
living was assessed by the Korean version of the modified Barthel index (K-MBI), and the quality of life
was assessed by EuroQol-5 Dimension (EQ-5D). The patient’s cognitive status was evaluated by the
Korean version of the Mini-Mental State Examination (K-MMSE). The improvement of neurological
function and sleep quality was determined based on the dierence between the results before and
after the intervention. The primary outcome data analysis was performed by assessing the change of
neurological severity and improvement of cognitive and functional assessments. We also assessed the
level of improvement in each K-MMSE domain in the cognitive outcome. By using the K-MMSE data
of each patient, we obtained data on “orientation to time, orientation to place, registration, attention
and calculation, recall, language and drawing” [
48
], and evaluated the improvement level of data for
each K-MMSE domain.
2.7.2. Secondary Outcome
Secondary outcome data analysis was performed by evaluating improvement of the sleep
examination data, such as obstructive apnea and AHI, and the improvement of the daytime sleepiness
based on the ESS.
2.8. Statistical Analysis
Statistical analysis of data for patients who completed the intervention was performed, and the
two-way analysis of variance was used to compare the dierences in clinical data between the CPAP
treatment and control groups. To evaluate the relationship between the additional CPAP treatment
and each outcome, regression analyses were performed. Statistical analyses were performed using
IBM SPSS Statistics version 23.0 (IBM Corp., Armonk, NY, USA). A p-value <0.05 was considered
statistically significant.
3. Results
We screened 98 patients with subacute stroke admitted to rehabilitation units between November
2017 and November 2018. Forty-three patients were predominant OSA patients with at least
AHI 20
.
These patients were randomly assigned to the CPAP treatment group (n=23) or control group (n=20).
However, 3 (13.0%) of 23 patients who started CPAP treatment refused CPAP because of mechanical
discomfort. Therefore, the CPAP treatment group ultimately consisted of 20 patients, and control
group included 20 patients (Figure 1). CPAP treatment started at an average of 4.6
±
2.8 days after
a patient with stroke was admitted to the Department of Rehabilitation Medicine. Patients were mainly
men, and they had ischemic stroke and hypertension (Table 1). In the CPAP group, 2 patients with
thrombolysis and 4 patients with thrombectomy were enrolled in the CPAP group. Three patients
underwent hemorrhage removal and 3 patients underwent neurologic observation. In the control
group, 2 patients with thrombolysis, 3 patients with thrombectomy, 2 patients with hemorrhage
Brain Sci. 2019,9, 252 5 of 13
removal, and 2 patients with neurologic observation were enrolled in the control group. Most initial
assessment data in both groups were similar. However, there was a dierence between the CPAP
treatment and control groups in the evaluation items related to quality of sleep, such as central apnea
(5.5
±
13.2 and 4.4
±
14.0, respectively), obstructive apnea (26.5
±
17.5 and 15.2
±
13.4, respectively),
mixed apnea (3.3
±
6.9 and 5.2
±
10.3, respectively), and AHI (44.4
±
16.8 and 34.9
±
17.2, respectively).
The severity of stroke was similar in both groups (NIHSS score 6–7), and there was no significant
dierence in the measurement of functional or cognitive status. The subject’s body mass index (BMI)
was less than 25 in both groups, which was less than other stroke subjects in the world.
Brain Sci. 2019, 9, x FOR PEER REVIEW 5 of 12
the CPAP treatment and control groups in the evaluation items related to quality of sleep, such as
central apnea (5.5 ± 13.2 and 4.4 ± 14.0, respectively), obstructive apnea (26.5 ± 17.5 and 15.2 ± 13.4,
respectively), mixed apnea (3.3 ± 6.9 and 5.2 ± 10.3, respectively), and AHI (44.4 ± 16.8 and 34.9 ± 17.2,
respectively). The severity of stroke was similar in both groups (NIHSS score 6–7), and there was no
significant difference in the measurement of functional or cognitive status. The subject's body mass
index (BMI) was less than 25 in both groups, which was less than other stroke subjects in the world.
Figure 1. Flow chart to study population. PSG, polysomnography; OSA, obstructive sleep apnea;
CPAP, continuous positive airway pressure.
Table 1. Clinical characteristics of intervention group.
CPAP (n = 20) Control (n = 20) p-Value
Sex, n (men/women) 13/7 (65.0/35.0%) 16/4 (80.0/20.0%) 0.429
Age (years) 63.3 ± 13.1 66.9 ± 12.3 0.369
Type of stroke, n (ischemic/hemorrhagic) 14/6 (70.0/30.0%) 16/4 (80.0/20.0%) 0.602
Lesion type, n (Supratentorial/Infratentorial) 14/6 (70.0/30.0%) 11/9 (55.0/45.0%) 0.429
Ischemic group primary treatment, n
(Thrombolysis/Thrombectomy) 2/4 (10.0/20.0%) 2/3 (10.0/15.0%) 0.000
Hemorrhagic group primary treatment, n
(observation/hemorrhage removal) 3/3 (50.0/50.0%) 2/2 (50.0/50.0%) 0.000
BMI 23.3 ± 3.7 24.4 ± 3.9 0.370
LOS 38.6 ± 11.4 37.8 ± 14.8 0.849
NIHSS 6.7 ± 3.5 6.5 ± 5.7 0.869
K-MMSE 18.6 ± 7.7 17.5 ± 9.1 0.668
FAC 1.3 ± 1.5 1.7 ± 2.0 0.474
MRS 3.9 ± 1.0 3.5 ± 1.2 0.207
BBS 15.5 ± 17.1 22.9 ± 22.9 0.251
K-MBI 43.1 ± 26.5 45.8 ± 31.6 0.775
HTN (+/) 13/7 (65.0/35.0%) 15/5 (75.0/25.0%) 0.602
Figure 1.
Flow chart to study population. PSG, polysomnography; OSA, obstructive sleep apnea;
CPAP, continuous positive airway pressure.
Table 1. Clinical characteristics of intervention group.
CPAP (n=20) Control (n=20) p-Value
Sex, n(men/women) 13/7 (65.0/35.0%) 16/4 (80.0/20.0%) 0.429
Age (years) 63.3 ±13.1 66.9 ±12.3 0.369
Type of stroke, n
(ischemic/hemorrhagic) 14/6 (70.0/30.0%) 16/4 (80.0/20.0%) 0.602
Lesion type, n
(Supratentorial/Infratentorial) 14/6 (70.0/30.0%) 11/9 (55.0/45.0%) 0.429
Ischemic group primary treatment, n
(Thrombolysis/Thrombectomy) 2/4 (10.0/20.0%) 2/3 (10.0/15.0%) 0.000
Hemorrhagic group primary
treatment, n
(observation/hemorrhage removal)
3/3 (50.0/50.0%) 2/2 (50.0/50.0%) 0.000
BMI 23.3 ±3.7 24.4 ±3.9 0.370
LOS 38.6 ±11.4 37.8 ±14.8 0.849
NIHSS 6.7 ±3.5 6.5 ±5.7 0.869
Brain Sci. 2019,9, 252 6 of 13
Table 1. Cont.
CPAP (n=20) Control (n=20) p-Value
K-MMSE 18.6 ±7.7 17.5 ±9.1 0.668
FAC 1.3 ±1.5 1.7 ±2.0 0.474
MRS 3.9 ±1.0 3.5 ±1.2 0.207
BBS 15.5 ±17.1 22.9 ±22.9 0.251
K-MBI 43.1 ±26.5 45.8 ±31.6 0.775
HTN (+/) 13/7 (65.0/35.0%) 15/5 (75.0/25.0%) 0.602
DM (+/) 4/16 (20.0/80.0%) 7/13 (35.0/65.0%) 0.429
EQ-5D 0.3 ±0.3 0.3 ±1.3 0.612
ESS 6.0 ±5.4 6.7 ±5.2 0.677
Central apnea 5.5 ±13.2 4.4 ±14.0 0.796
Obstructive apnea 26.5 ±17.5 15.2 ±13.4 0.028 *
Mixed apnea 3.3 ±6.9 5.2 ±10.3 0.503
Hypopnea 9.1 ±8.9 10.1 ±7.4 0.699
AHI 44.4 ±16.8 34.9 ±17.2 0.085
Snore flag index 62.6 ±76.3 42.0 ±63.9 0.359
Desaturation index 43.3 ±18.4 34.4 ±20.2 0.156
OSA, obstructive sleep apnea; BMI, body mass index; LOS, length of stay; NIHSS, Korean version of the National
Institute of Health Stroke Scale; MMSE, Korean version of the Mini-Mental State Examination; FAC, functional
ambulation categories; MRS, modified Rankin Scale; BBS, Berg Balance Scale; K-MBI, Korean version of the modified
Barthel index; HTN, hypertension; DM, diabetes mellitus; EQ-5D, EuroQol-5 Dimension; ESS, Epworth Sleepiness
Scale; AHI, apnea–hypopnea index; * p-value <0.05.
3.1. Primary Outcome Analysis (Functional and Cognitive Outcomes)
Both groups showed improvements in stroke severity, function, and cognition after the intervention
compared with before the intervention (Table 2). The degree of improvement was similar in both
groups, but the CPAP treatment group showed a better trend in stroke severity, balance and gait
levels, and cognition than the control group. Although the degree of improvement of neurological and
functional measures was better after the intervention in the CPAP treatment group than in the control
group, no statistical significant dierence was observed. However, the CPAP treatment group showed
a significantly higher degree of change in the cognitive domain than the control group after the 3-week
intervention period (K-MMSE score 4.0
±
3.4 vs. 2.2
±
1.9; p=0.045). We assessed the cognitive-related
domains of the patients to determine which one showed more improvement. Specifically, the CPAP
treatment group showed significant improvement in the attention and calculation domain (p=0.001),
but no significant improvement in the other cognitive domains (Table 3).
Table 2. Comparison of clinical outcome between CPAP and control group.
CPAP (n=20) Control (n=20) p-Value
NIHSS 1.5 ±1.3 1.1 ±1.5 0.157
MMSE 4.0 ±3.4 2.2 ±1.9 0.045 *
FAC 0.8 ±1.0 0.9 ±1.0 0.862
MRS 0.8 ±0.8 0.4 ±0.6 0.142
BBS 10.0 ±10.3 8.7 ±10.7 0.583
K-MBI 14.0 ±9.8 13.5 ±9.9 0.873
EQ-5D 0.2 ±0.2 0.2 ±0.3 0.282
, dierence in score between pre-intervention–post-intervention. CPAP, continuous positive airway pressure;
NIHSS, Korean version of the National Institute of Health Stroke Scale; MMSE, Korean version of the Mini-Mental
State Examination; FAC, functional ambulation categories; MRS, modified Rankin Scale; BBS, Berg Balance Scale;
K-MBI, Korean version of the modified Barthel index; EQ-5D, EuroQol-5 Dimension. * p-value <0.05.
Brain Sci. 2019,9, 252 7 of 13
Table 3. Comparison of cognitive outcome between CPAP and control group.
CPAP (n=20) Control (n=20) p-Value
Orientation to time (5) 0.7 ±1.0 0.1 ±1.4 0.055
Orientation to place (5) 1.0 ±1.1 0.6 ±0.9 0.155
Registration (3) 0.1 ±0.4 0.2 ±0.7 0.554
Attention and calculation (5) 1.4 ±0.8 0.3 ±1.3 0.001 *
Recall (3) 0.3 ±1.1 0.4 ±0.6 0.558
Language (8) 0.5 ±0.9 0.8 ±1.1 0.501
Drawing (1) 0.1 ±0.4 0.1 ±0.6 0.710
Total (30) 4.0 ±3.4 2.2 ±1.9 0.045 *
, dierence in score between pre-intervention–post-intervention. CPAP, continuous positive airway pressure.
*p-value <0.05.
3.2. Secondary Outcome Analysis (Sleep Examination Data)
CPAP treatment was performed for 3 weeks and follow-up evaluation was performed at 3 time
points after treatment (Figure 2). All patients in the CPAP treatment group received CPAP treatment
during the nighttime after the CPAP adaptation period, and they were highly compliant (>4 h/day,
5 days a week). However, in this study, compliance with CPAP treatment was not accurately measured.
During the hospital stay, the nurse in the ward checked the patients’ application of the CPAP machine
and educated the caregiver on how to measure the wearing time. As a result of the sleep examination,
the CPAP treatment group showed better improvement in the ESS score, central apnea, obstructive
apnea, AHI, snore flag index, and ODI than the control group. Especially, the CPAP treatment group
(n=20) showed a significant decrease in the AHI (17.9
±
12.8 vs.
3.0
±
9.7, p=0.001) and obstructive
apnea (
13.0
±
14.1 vs. 1.6
±
10.6, p=0.001) compared with the control group. In addition, significant
improvement was observed in the CPAP treatment group compared to the control group in the ESS
score (
2.3
±
2.3 vs. 0.6
±
3.3, p=0.003) (Table 4). There was no significant reduction in mixed
apnea in the CPAP treatment and control groups (
0.5
±
7.1 and
0.8
±
11.3, respectively; p=0.715).
Additionally, to confirm the correlation between improvement of the AHI by CPAP treatment and
cognitive improvement, the change of the K-MMSE score according to the improvement of AHI was
evaluated. In the regression analysis,
K-MMSE (ß=0.071, 95% confidence interval [CI], 0.068–0.176,
p=0.033
) and
ESS (ß=0.109, 95% CI, 0.096–0.257, p=0.002) were significantly correlated with
AHI
(Table 5).
Brain Sci. 2019, 9, x FOR PEER REVIEW 7 of 12
ΔRecall (3) 0.3 ± 1.1 0.4 ± 0.6 0.558
ΔLanguage (8) 0.5 ± 0.9 0.8 ± 1.1 0.501
ΔDrawing (1) 0.1 ± 0.4 0.1 ± 0.6 0.710
ΔTotal (30) 4.0 ± 3.4 2.2 ± 1.9 0.045 *
Δ, difference in score between pre-intervention–post-intervention. CPAP, continuous positive airway
pressure. * p-value < 0.05.
3.2. Secondary Outcome Analysis (Sleep Examination Data)
CPAP treatment was performed for 3 weeks and follow-up evaluation was performed at 3 time
points after treatment (Figure 2). All patients in the CPAP treatment group received CPAP treatment
during the nighttime after the CPAP adaptation period, and they were highly compliant (>4 h/day,
5 days a week). However, in this study, compliance with CPAP treatment was not accurately
measured. During the hospital stay, the nurse in the ward checked the patients’ application of the
CPAP machine and educated the caregiver on how to measure the wearing time. As a result of the
sleep examination, the CPAP treatment group showed better improvement in the ESS score, central
apnea, obstructive apnea, AHI, snore flag index, and ODI than the control group. Especially, the
CPAP treatment group (n = 20) showed a significant decrease in the AHI (17.9 ± 12.8 vs. 3.0 ± 9.7, p
= 0.001) and obstructive apnea (13.0 ± 14.1 vs. 1.6 ± 10.6, p = 0.001) compared with the control group.
In addition, significant improvement was observed in the CPAP treatment group compared to the
control group in the ESS score (2.3 ± 2.3 vs. 0.6 ± 3.3, p = 0.003) (Table 4). There was no significant
reduction in mixed apnea in the CPAP treatment and control groups (0.5 ± 7.1 and 0.8 ± 11.3,
respectively; p = 0.715). Additionally, to confirm the correlation between improvement of the AHI by
CPAP treatment and cognitive improvement, the change of the K-MMSE score according to the
improvement of AHI was evaluated. In the regression analysis, ΔK-MMSE (ß = 0.071, 95% confidence
interval [CI], 0.068–0.176, p = 0.033) and ΔESS (ß = 0.109, 95% CI, 0.096–0.257, p = 0.002) were
significantly correlated with ΔAHI (Table 5).
Figure 2. Study design. PSG, Polysomnography.
Table 4. Comparison of daytime sleepiness index and polysomnographic data between CPAP and
control group.
CPAP (n = 20) Control (n = 20) p-Value
ΔESS 2.3 ± 2.3 0.6 ± 3.3 0.003 *
ΔCentral apnea 2.7 ± 10.2 0.2 ± 2.9 0.449
ΔObstructive apnea 13.0 ± 14.1 1.6 ± 10.6 0.001 *
ΔMixed apnea 0.5 ± 7.1 0.8 ± 11.3 0.715
ΔHypopnea 1.8 ± 8.1 3.7 ± 5.0 0.378
Figure 2. Study design. PSG, Polysomnography.
Brain Sci. 2019,9, 252 8 of 13
Table 4.
Comparison of daytime sleepiness index and polysomnographic data between CPAP and
control group.
CPAP (n=20) Control (n=20) p-Value
ESS 2.3 ±2.3 0.6 ±3.3 0.003 *
Central apnea 2.7 ±10.2 0.2 ±2.9 0.449
Obstructive apnea 13.0 ±14.1 1.6 ±10.6 0.001 *
Mixed apnea 0.5 ±7.1 0.8 ±11.3 0.715
Hypopnea 1.8 ±8.1 3.7 ±5.0 0.378
AHI 17.9 ±12.8 3.0 ±9.7 0.001 *
Snore flag index 23.5 ±54.8 0.7 ±70.3 0.441
Desaturation index 16.2 ±14.9 7.7 ±19.6 0.133
, dierence in score between pre-intervention and post-intervention. CPAP, continuous positive airway pressure;
ESS, Epworth Sleepiness Scale; AHI, apnea–hypopnea index. * p-value <0.05.
Table 5. Regression analysis concerning CPAP treatment eectiveness.
βAdjusted R2p-Value
AHI
MMSE 0.071 0.114 0.033 *
ESS 0.109 0.220 0.002 *
, dierence score between pre-intervention and post-intervention. AHI, apnea–hypopnea index; MMSE, Korean
version of the Mini-Mental State Examination; ESS, Epworth Sleepiness Scale. * p-value <0.05.
4. Discussion
To the best of our knowledge, this is the first RCT to evaluate sleep quality and cognitive and
functional statuses in Korean patients with subacute stroke and OSA after CPAP treatment more than
3 weeks. We found that CPAP therapy can help improve cognitive function such as sleep quality
and sleepiness, as well as attention and calculation. Some of the main outcomes of the CPAP group,
such as cognitive outcome, severity of sleep apnea, and quality of sleep, improved, but improvement
in most assessments was not statistically significant compared to the control group. In contrast to
a previous study [
29
], we did not find significant improvements in the CPAP treatment group in
functional outcomes, including neurological status and ADL. Because the CPAP treatment group and
control group showed similar improvements in functional areas compared to before the intervention,
the role of rehabilitation therapy in the functional area may be judged to be more important than sleep
apnea treatment. However, since CPAP therapy was only performed during a short time, there may
be a limit to assessing the eectiveness of CPAP therapy in relation to patients’ functional outcome.
In addition, as the CPAP and rehabilitation group and CPAP-only group were not compared directly,
the superiority of each treatment could not be determined.
Previous studies have shown an improvement in cognitive function after OSA and stroke with
CPAP treatment, which is consistent with the results seen in patients of the CPAP treatment group
of the present study. We used the K-MMSE to evaluate cognitive function improvement and found
significant improvement in the attention and calculation domain [
49
,
50
]. Other studies have shown
that stroke patients with OSA have greater impairment in cognitive function, including attention and
executive function, than stroke patients without OSA [
14
]. We also compared daytime sleepiness
between the CPAP treatment and control groups, and found a better level of improvement in the CPAP
treatment group than in the control group. These results may have a positive impact on patients’
cognitive and functional improvement by inducing greater participation in the rehabilitation treatment
program. In this study, only 3 of the 23 patients in the CPAP group with OSA refused treatment.
The remaining patients were treated with CPAP for more than 4 hours a day for >3 weeks because all
the patients were hospitalized, and various medical professionals, such as doctors and nurses, who
were trained in CPAP treatment checked the patient’s condition at night and encouraged the use of
Brain Sci. 2019,9, 252 9 of 13
CPAP. Additionally, because SDB was diagnosed early, CPAP treatment could be applied early, which
could have resulted in the higher compliance with CPAP treatment.
A recent meta-analysis of CPAP treatment for sleep apnea in patients with stroke noted that sleep
apnea after stroke may aect perfusion and oxygenation of the penumbra, which may adversely aect
neural damage and stroke outcome [
39
,
51
]. The early application of CPAP may prolong survival of the
penumbra, resulting in clinical and imaging improvement in patients after stroke. Furthermore, the
application of ongoing CPAP therapy can independently contribute to improving cognitive impairment,
drowsiness, and depression, leading to better participation of the patient in the rehabilitation program,
which may have a more positive impact on recovery after stroke. Evidence for the beneficial eects
associated with neurological, cognitive, or long-term survival of CPAP after stroke have not yet been
clarified, but further RCTs and the present study may support a positive eect of CPAP therapy, as it
may be an additional treatment option for cognition and function improvement in patients with stroke.
This study has several limitations that remain to be addressed. First, the sample size of the
study was small. Of the 98 patients who underwent sleep examination, 43 were diagnosed with OSA
and only 40, except 3 patients who were withdrawn from the study because of medical condition
deterioration or refusal to CPAP treatment, participated in this RCT. The prevalence of sleep apnea in
this study was lower than that in previous studies (71%) [
52
] because we used strict diagnostic criteria
for OSA. Additionally, the use of portable polysomnography also tends to underestimate AHI. Portable
devices without electroencephalography recording capability cannot distinguish between awake and
sleep states. Therefore, it is possible that the number of patients who could participate in this study
was limited by this factor. Second, because of the limited hospitalization period, CPAP treatment
was performed during a short intervention period. To identify the eectiveness of CPAP treatment,
a 4-week or longer treatment period may be needed. Further, after the intervention period, the control
group was unable to perform CPAP treatment and did not perform long-term follow-up after discharge
to further evaluate the eect of CPAP treatment on OSA. Therefore, when interpreting the results of
this study, the characteristics of the hospital’s patients and the health policy situation in Korea should
be considered. Third, CPAP compliance may have increased because of treatment encouragement by
doctors and nurses rather than by family and caregivers. Since the CPAP machine itself is unable
to accurately monitor patients’ compliance, the accuracy of CPAP compliance cannot be confirmed.
Although continuing CPAP therapy may be beneficial to patients after discharge, there may be a limit to
the maintenance of CPAP treatment if the family or caregivers do not receive awareness or training for
CPAP treatment. Maintaining high CPAP compliance over a prolonged period may be more beneficial
for the patient. Fourth, patients did not undergo a sleep examination before the diagnosis of stroke.
Therefore, it was not possible to determine whether they already had sleep apnea. Previous studies
have suggested that sleep apnea is more likely to precede the onset of stroke and that sleep apnea
improves in most patients after the acute phase of stroke [
18
,
52
]. Fifth, patients with severe neurological
deficits showed more severe sleep apnea but no significant functional improvement in CPAP treatment.
This study compared the mean values of patients with various severities of stroke, and consequently,
the severity of stroke may directly aect the ecacy of CPAP treatment. Lastly, neurostimulants such
as methylphenidate have not been used, but we did not evaluate sleep-related medications (sedatives)
in subacute stroke patients with OSA. Therefore, aside from using CPAP, we could not confirm the
change of sleep quality or weekly daytime sleepiness caused by sleep-related medication.
5. Conclusions
Sleep apnea is a common disease in patients with subacute stroke, and it can aggravate neurological
and functional statuses. Clinicians should assess patients’ sleep status and adequately treat sleep
disturbances during the rehabilitation of subacute stroke. The beneficial eects of CPAP treatment
found in this study suggest that this treatment should be considered as part of the rehabilitation program
for patients with stroke. The treatment of choice for OSA is CPAP treatment. When applied to subacute
stroke patients with OSA for a short period, there was improvement in sleep quality, daytime sleepiness,
Brain Sci. 2019,9, 252 10 of 13
and cognitive function. Patients with high compliance and long-term CPAP treatment may have
a greater benefit. Appropriate CPAP treatment can improve patients’ overall function by improving
their cognitive function and daytime sleepiness, and consequently, inducing their participation in
a rehabilitation program. Further research is needed on the improvements in neurological and
functional statuses among stroke patients who have received long-term CPAP treatment.
Author Contributions:
The following authors devised of and designed the study: H.K., Y.K. and S.J.; data
collection and analysis: H.K., S.I. and J.i.P., Y.K. and M.K.S.; contributed to writing the manuscript: H.K., M.K.S.
and S.J.
Funding:
This study was supported by grants (HI10C2020) from the Korean Health Technology R&D Project,
Ministry of Health & Welfare, from NRF- 2015R1C1A1A01055923, NRF-2017R1A2B4006500 and VitalAire Korea Inc.
Conflicts of Interest: No potential conflict of interest relevant to this article was reported.
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... 6 However, the reported effect of CPAP on cognitive function in stroke patients with OSA has remained inconsistent. Several studies [14][15][16] have reported that CPAP treatment had cognitive improvement in stroke patients with OSA, and the increased cognitive domains included attention, executive function and calculation, but not memory, language, vigilance or orientation. ...
... No dropout was seen in three studies. 14 18 20 In the other four studies, 14 15 17 19 dropout rates varied from 4.35% to 35%. Table 2 shows the results of bias risk. ...
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Objective To investigate the effect of continuous positive airway pressure (CPAP) treatment on cognitive function in stroke patients with obstructive sleep apnoea (OSA) by exploring randomised controlled trials (RCTs). Methods Published RCTs that assessed the therapeutic effects of CPAP on cognition in stroke patients with OSA, compared with controls or sham CPAP, were included. Electronic databases, including MEDLINE, Embase and Cochrane library, were searched in October 2020 and October 2021. Risk of bias was assessed using the Cochrane collaboration tools. A random effects or fixed effects model was used according to heterogeneity. The outcomes were global cognitive gain, improvement in cognitive domain and subjective sleepiness. Results 7 RCTs, including 327 participants, comparing CPAP with control or sham CPAP treatment were included. 6 RCTs with 270 participants reported results related to global cognition, and CPAP treatment had no significant effects on global cognitive gain in stroke patients with OSA (standardised mean difference (SMD), 0.18; 95% CI, –0.07 to 0.42; p=0.153). A subgroup analysis showed that an early start to (<2 weeks post stroke) CPAP treatment after stroke significantly improved global cognition (SMD, 0.66; 95% CI, 0.18 to 1.14; p=0.007), which was not found in the case of a delayed start to CPAP treatment. However, CPAP did not significantly help with memory, language, attention or executive function. Moreover, CPAP therapy significantly alleviated subjective sleepiness (SMD, −0.73; 95% CI, –1.15 to −0.32; p≤0.001). Conclusions Early initiation of CPAP treatment might contribute to improvement in global cognition in stroke patients with OSA. This study had the following limitations: the sample size in each included study was relatively small; the scales related to cognitive assessment or subjective sleepiness were inconsistent; and the methodological quality was not high. Future trials should focus on including a greater number of stroke patients with OSA undergoing CPAP treatment. PROSPERO registration number CRD42020214709.
... Varying degrees of stroke severity or deficits may influence tolerance towards PAP use [72]. Yet, the investigation could be difficult as baseline stroke severity and impairment were not reported in some studies, and were excluded if conditions were severe [26,55,73]. In addition, in the present meta-regression results, year of publication and proportion of males were significant covariates for functional independence and daytime sleepiness, respectively. ...
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Background Sleep disordered breathing (SDB) is an under-recognised independent risk factor and a potential consequence of stroke. We systematically reviewed and meta-analysed the effectiveness of positive airway pressure (PAP) therapy in improving post-stroke outcomes. Methods We searched CENTRAL, Embase, PubMed, CINAHL, PsycINFO, Scopus, ProQuest, Web of Science and CNKI (China National Knowledge Infrastructure) for randomised controlled trials comparing PAP therapy against a control or placebo group. We evaluated the pooled effects of PAP therapy on recurrent vascular events, neurological deficit, cognition, functional independence, daytime sleepiness and depression using random effects meta-analyses. Results We identified 24 studies. Our meta-analyses showed that PAP therapy reduced recurrent vascular events (risk ratio 0.47, 95% CI 0.28–0.78), and showed significant beneficial effects on neurological deficit (Hedges’ g= −0.79, 95% CI −1.19– −0.39), cognition (g=0.85, 95% CI 0.04–1.65), functional independence (g=0.45, 95% CI 0.01–0.88) and daytime sleepiness (g= −0.96, 95% CI −1.56– −0.37). However, there was insignificant reduction in depression (g= −0.56, 95% CI −2.15–1.02). No publication bias was detected. Conclusions Post-stroke patients with SDB benefited from PAP therapy. Prospective trials are needed to determine the ideal initiation period and the minimum effective therapeutic dose.
... For example, CPAP prevents upper airway occlusion during sleep and enables patients to have an entire night of uninterrupted sleep [32]. CPAP considerably improves sleep quality [33]. Another study evaluated treatment responses by calculating various questionnaire outcomes (i.e., mood, energy or fatigue, functional status, and general health), and the results suggested that the odds of experiencing CPAP treatment responses were approximately three times compared with conservative treatment responses [34]. ...
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Obstructive sleep apnea (OSA) is a risk factor for neurodegenerative diseases. This study determined whether continuous positive airway pressure (CPAP), which can alleviate OSA symptoms, can reduce neurochemical biomarker levels. Thirty patients with OSA and normal cognitive function were recruited and divided into the control (n = 10) and CPAP (n = 20) groups. Next, we examined their in-lab sleep data (polysomnography and CPAP titration), sleep-related questionnaire outcomes, and neurochemical biomarker levels at baseline and the 3-month follow-up. The paired t-test and Wilcoxon signed-rank test were used to examine changes. Analysis of covariance (ANCOVA) was performed to increase the robustness of outcomes. The Epworth Sleepiness Scale and Pittsburgh Sleep Quality Index scores were significantly decreased in the CPAP group. The mean levels of total tau (T−Tau), amyloid-beta-42 (Aβ42), and the product of the two (Aβ42 × T−Tau) increased considerably in the control group (ΔT−Tau: 2.31 pg/mL; ΔAβ42: 0.58 pg/mL; ΔAβ42 × T−Tau: 48.73 pg2/mL2), whereas the mean levels of T−Tau and the product of T−Tau and Aβ42 decreased considerably in the CPAP group (ΔT−Tau: −2.22 pg/mL; ΔAβ42 × T−Tau: −44.35 pg2/mL2). The results of ANCOVA with adjustment for age, sex, body mass index, baseline measurements, and apnea–hypopnea index demonstrated significant differences in neurochemical biomarker levels between the CPAP and control groups. The findings indicate that CPAP may reduce neurochemical biomarker levels by alleviating OSA symptoms.
... Positive Airway Pressure (PAP) therapy is primary (and clinical guideline informed) treatment for OSA (Patil et al., 2019a(Patil et al., , 2019b. With good adherence (typically defined as $ 4 hr/night at least 70% of the time), PAP therapy has been associated with partial reversal of structural and functional neuropathology (Maresky et al., 2019) and improved cognition (Jiang et al., 2021;Kim et al., 2019). Unfortunately, PAP adherence is poor, with one study showing that 67% of veterans with comorbid OSA and brain injury did not adhere to PAP treatment . ...
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Purpose/objective: To evaluate the feasibility of a psychological intervention designed to increase Positive Airway Pressure (PAP) adherence, adapted with cognitive accommodations for comorbid obstructive sleep apnea (OSA) and traumatic brain injury (TBI). Research method/design: This was an open-label single arm (nonrandomized) study. Eligibility criteria were moderate-to-severe TBI, OSA diagnosis, prescribed PAP, nonadherent, and able to consent. Participants were recruited from inpatient and outpatient settings at a tertiary care hospital. The four-module manualized intervention was delivered primarily via telehealth. Feasibility aspects measured included eligibility, recruitment, and retention rates; session duration and attendance; and characteristics of outcome and process measures (e.g., completion rates, data distribution). Symptom measures included the Epworth Sleepiness Scale, Fatigue Severity Scale, Functional Outcomes of Sleep Questionnaire, Self-Efficacy Measure for Sleep Apnea, OSA Treatment Barriers Questionnaire (OTBQ), and Kim Alliance Scale-Revised. Results: Of 230 persons screened, 14.3% were eligible. Recruitment rate (n = 17) was 51.5%. Retention rate (n = 13) was 76.5%. Treatment completers had no missing data. The OTBQ deviated from normality, but other measures had adequate skew (< 2.0) and kurtosis (< 7.0) and were free from significant floor and ceiling effects (<15%). Change score effect sizes were minimal to moderate (d = .10-.77). There were no adverse events. Conclusions/implications: These results inform ways in which procedures should be modified to enhance the success of a future clinical trial testing the efficacy of this adherence intervention. Inclusion criteria should be reconsidered, and recruitment sites expanded, to capture eligible persons and adequately power an efficacy study. (PsycInfo Database Record (c) 2022 APA, all rights reserved).
... To date, studies that evaluated the effectiveness of positive airway pressure (PAP) treatment on neurological outcome and stroke recurrence in patients with stroke yielded conflicting results [73][74][75][76]. For a detailed review on studies evaluating the efficacy of SA treatment in patients with stroke, see Boulos et al. [77]. ...
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Purpose of Review To elucidate the interconnection between sleep and stroke. Recent Findings Growing data support a bidirectional relationship between stroke and sleep. In particular, there is strong evidence that sleep-disordered breathing plays a pivotal role as risk factor and concur to worsening functional outcome. Conversely, for others sleep disorders (e.g., insomnia, restless legs syndrome, periodic limb movements of sleep, REM sleep behavior disorder), the evidence is weak. Moreover, sleep disturbances are highly prevalent also in chronic stroke and concur to worsening quality of life of patients. Promising novel technologies will probably allow, in a near future, to guarantee a screening of commonest sleep disturbances in a larger proportion of patients with stroke. Summary Sleep assessment and management should enter in the routinary evaluation of stroke patients, of both acute and chronic phase. Future research should focus on the efficacy of specific sleep intervention as a therapeutic option for stroke patients.
Article
Accumulating evidence supports a link between sleep disorders, disturbed sleep, and adverse brain health, ranging from stroke to subclinical cerebrovascular disease to cognitive outcomes, including the development of Alzheimer disease and Alzheimer disease–related dementias. Sleep disorders such as sleep-disordered breathing (eg, obstructive sleep apnea), and other sleep disturbances, as well, some of which are also considered sleep disorders (eg, insomnia, sleep fragmentation, circadian rhythm disorders, and extreme sleep duration), have been associated with adverse brain health. Understanding the causal role of sleep disorders and disturbances in the development of adverse brain health is complicated by the common development of sleep disorders among individuals with neurodegenerative disease. In addition to the role of sleep disorders in stroke and cerebrovascular injury, mechanistic hypotheses linking sleep with brain health and biomarker data (blood-based, cerebrospinal fluid-based, and imaging) suggest direct links to Alzheimer disease–specific pathology. These potential mechanisms and the increasing understanding of the “glymphatic system,” and the recognition of the importance of sleep in poststroke recovery, as well, support a biological basis for the indirect (through the worsening of vascular disease) and direct (through specific effects on neuropathology) connections between sleep disorders and brain health. Given promising evidence for the benefits of treatment and prevention, sleep disorders and disturbances represent potential targets for early treatment that may improve brain health more broadly. In this scientific statement, we discuss the evidence supporting an association between sleep disorders and disturbances and poor brain health ranging from stroke to dementia and opportunities for prevention and early treatment.
Article
Objectives Obstructive sleep apnea (OSA) is linked to cognitive impairment. We aimed to investigate subjective cognitive complaints (SCCs) and objective cognitive scores and their relation to polysomnography (PSG) parameters in patients suspected of having OSA. Methods A prospective cohort cross‐sectional study was conducted at Siriraj Hospital. Patients suspected of OSA who were scheduled for PSG were recruited. Cognition was assessed using the Montreal Cognitive Assessment (MoCA) and Color Trails Test (CTT). The Memory Index Score (MIS) was calculated from the MoCA. Subjective cognitive complaint presence was assessed through direct questioning of patients and by employing the Cognitive Change Index rated by self or informants (CCI‐I). Patients with severe dementia were excluded. Results Among 258 patients (mean age 61.46 ± 7.05 years, 51.2% female), the mean MoCA score was 23.89 ± 3.89. Based on PSG results, patients were categorized into groups as follows: those without OSA or with mild OSA (combined total of 20.1%), moderate OSA (28.3%), or severe OSA (51.6%). Cognitive Change Index rated by self and CCI‐I scores correlated significantly ( r = 0.238, p = 0.019) but not with the MoCA score or CTT time. Objective cognitive scores were associated with PSG parameters: total sleep time (TST), sleep onset latency, wake after sleep onset, sleep stages, mean O2 saturation, and time spent with SaO2 below 90% (all p < 0.05). Subjective cognitive scores were not associated with PSG parameters, except CCI‐I with TST. Participants with objective cognitive impairment had lower education, higher body mass index, more comorbidities, and lower SCC percentage (all p < 0.05). Patients with moderate to severe OSA had a higher proportion of objective cognitive impairment (64.1%) but a lower incidence of SCC (38.3%) than patients with no OSA or mild OSA. Thirty patients with severe OSA and cognitive impairment received continuous positive airway pressure (CPAP) treatment for a mean of 12.2 months. These patients showed MoCA and MIS improvement, but no significant changes were observed in their CTT and Cognitive Change Index scores. Conclusions Most patients with OSA had objective cognitive impairment, but SCC was less frequent in patients with more severe OSA. Several PSG parameters correlated with cognitive scores but not with subjective cognitive scores. Patients with severe OSA may benefit cognitively from CPAP treatment.
Article
Sleep disturbances after ischaemic stroke include alterations of sleep architecture, obstructive sleep apnea, restless legs syndrome, daytime sleepiness and insomnia. Our aim was to explore their impacts on functional outcomes at month 3 after stroke, and to assess the benefit of continuous positive airway pressure in patients with severe obstructive sleep apnea. Ninety patients with supra-tentorial ischaemic stroke underwent clinical screening for sleep disorders and polysomnography at day 15 ± 4 after stroke in a multisite study. Patients with severe obstructive apnea (apnea-hypopnea index ≥ 30 per hr) were randomized into two groups: continuous positive airway pressure-treated and sham (1:1 ratio). Functional independence was assessed with the Barthel Index at month 3 after stroke in function of apnea-hypopnea index severity and treatment group. Secondary objectives were disability (modified Rankin score) and National Institute of Health Stroke Scale according to apnea-hypopnea index. Sixty-one patients (71.8 years, 42.6% men) completed the study: 51 (83.6%) had obstructive apnea (21.3% severe apnea), 10 (16.7%) daytime sleepiness, 13 (24.1%) insomnia, 3 (5.7%) depression, and 20 (34.5%) restless legs syndrome. Barthel Index, modified Rankin score and Stroke Scale were similar at baseline and 3 months post-stroke in the different obstructive sleep apnea groups. Changes at 3 months in those three scores were similar in continuous positive airway pressure versus sham-continuous positive airway pressure patients. In patients with worse clinical outcomes at month 3, mean nocturnal oxygen saturation was lower whereas there was no association with apnea-hypopnea index. Poorer outcomes at 3 months were also associated with insomnia, restless legs syndrome, depressive symptoms, and decreased total sleep time and rapid eye movement sleep.
Article
Study objectives: This meta-analysis aimed to investigate the feasibility and effectiveness of continuous positive airway pressure (CPAP) treatment in stroke patients with sleep apnea. Methods: PubMed, EMBASE, and the Cochrane Library were searched from inception until July 28, 2022, for randomized controlled trials comparing the use of CPAP and usual treatment in patients with stroke or transient ischemic attack and sleep apnea. The primary outcome measures were the feasibility of CPAP therapy, neurological function, and functional status. Results: After screening 5,747 studies, 14 studies with 1,065 patients were included in this meta-analysis. Overall, 8 of the 14 studies recorded CPAP use, and the mean CPAP use was 4.47 hours per night (95% confidence interval [CI]: 3.85-5.09). The risk ratio of discontinuing CPAP was 1.50 (95% CI: 0.76-2.94; P = .24). Analysis of the neurofunctional scales showed that CPAP treatment improved neurological function (standardized mean difference: 0.28; 95% CI: 0.02-0.53), but there was substantial heterogeneity (I2 = 57%, P = .03) across the studies. CPAP treatment had no significant effect on functional status vs the control (standardized mean difference: 0.25; 95% CI: -0.01 to 0.51), but the studies also had substantial heterogeneity (I2 = 55%, P = .06). Conclusions: CPAP treatment is feasible in patients with stroke and sleep apnea and may improve neurological outcomes in these patients. However, this finding should be interpreted with caution because of the substantial heterogeneity of current trials. Citation: Fu S, Peng X, Li Y, Yang L, Yu H. Effectiveness and feasibility of continuous positive airway pressure in patients with stroke and sleep apnea: a meta-analysis of randomized trials. J Clin Sleep Med. 2023;19(9):1685-1696.
Chapter
Neuropsychological work has historically focused on evaluating and managing cognitive and psychosocial effects of brain damage in clinical and research settings. However, some individuals with neuropsychiatric disease or injury have positive cognitive and general outcomes. For example, some individuals with multiple sclerosis (MS) do not experience cognitive burden, and some individuals with mild cognitive impairment (MCI) do not progress to dementia. In the present chapter, we consider psychosocial factors associated with positive outcomes. We initially provide a targeted review of modifiable lifestyle factors associated with promotion of cognitive health and quality of life. We then consider the extant literature on successful cognitive aging; positive outcomes in MCI, MS, and stroke; neuroimaging correlates of possible compensatory brain mechanisms; and personality correlates of positive outcomes. We conclude our chapter with a discussion of implications of this burgeoning area for clinical service and future research.KeywordsPositive outcomesSuperagingMultiple sclerosisMild cognitive impairmentStrokeCompensatory activationPersonality
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Objective: To perform a systematic review and meta-analysis of randomized controlled trials (RCTs) examining the effectiveness of continuous positive airway pressure (CPAP) in stroke patients with sleep disordered breathing (SDB). Methods: In a systematic literature search of electronic databases (MEDLINE, Embase, and the Cochrane Library) from 1980 to November 2016, we identified RCTs that assessed CPAP compared to standard care or sham CPAP in adult patients with stroke or TIA with SDB. Mean CPAP use, odds ratios (ORs), and standardized mean differences (SMDs) were calculated. The prespecified outcomes were adherence to CPAP, neurologic improvement, adverse events, new vascular events, and death. Results: Ten RCTs (564 participants) with CPAP as intervention were included. Two studies compared CPAP with sham CPAP; 8 compared CPAP with usual care. Mean CPAP use across the trials was 4.53 hours per night (95% confidence interval [CI] 3.97-5.08). The OR of dropping out with CPAP was 1.83 (95% CI 1.05-3.21,p= 0.033). The combined analysis of the neurofunctional scales (NIH Stroke Scale and Canadian Neurological Scale) showed an overall neurofunctional improvement with CPAP (SMD 0.5406, 95% CI 0.0263-1.0548) but with a considerable heterogeneity (I2= 78.9%,p= 0.0394) across the studies. Long-term survival was improved with CPAP in 1 trial. Conclusion: CPAP use after stroke is acceptable once the treatment is tolerated. The data indicate that CPAP might be beneficial for neurologic recovery, which justifies larger RCTs.
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Objective To assess the frequency and severity of sleep-disordered breathing (SDB) in subacute stroke patients in Korea. Methods We consecutively enrolled subacute stroke patients who were transferred to the Department of Rehabilitation Medicine from February 2016 to August 2016. The inclusion criteria were as follows: diagnosis of the first onset of cerebral infarction or hemorrhage in the brain by computed tomography or magnetic resonance imaging; patients between 18 and 80 years old; and patients admitted within 7 days to 6 months after stroke onset. We evaluated baseline clinical data on patients' admission to the Department of Rehabilitation Medicine. We assessed demographic data, stroke severity, neurologic impairment, cognition and quality of life. We used the Epworth Sleepiness Scale to assess quality of sleep. We used a portable polysomnography to detect SDB. Results Of the 194 stroke patients, 76 patients enrolled in this study. We evaluated and included 46 patients in the outcome analysis. The mean apnea-hypopnea index (AHI) was 24.2±17.0 and 31 patients (67.4%) exhibited an AHI ≥15. Those in the SDB group showed a higher National Institutes of Health Stroke Scale, lower Functional Ambulation Category, lower Korean version of Modified Barthel Index, and lower EuroQol five dimensions questionnaire (EQ-5D) at admission. Prevalence and clinical characteristics of SDB did not show significant differences among stroke types or locations. Conclusion SDB is common in subacute stroke patients. SDB must be evaluated after a stroke, particularly in patients presenting severe neurologic impairment.
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This investigation examines how the sleep propensity (SP) in one test situation, such as the Multiple Sleep Latency Test (MSLT), is related to sleepiness in daily life, as assessed by the Epworth Sleepiness Scale (ESS). This is a self-administered questionnaire, the item scores from which provide a new method for measuring SPs in eight different real-life situations. The ESS item scores were analyzed separately in four groups of subjects: 150 adult patients with a variety of sleep disorders, 87 medical students who answered the ESS on two occasions 5 months apart, 44 patients who also had MSLTs and 50 patients whose spouses also answered the ESS about their partner's sleepiness. The ESS item scores were shown to be reliable (mean rho = 0.56, p < 0.001). The SP measured by the MSLT was related to three of the eight item scores in a multiple regression (r = 0.64, p < 0.001). The results of nonparametric ANOVA, Spearman correlations, Wilcoxon's t tests, item and factor analysis suggest that individual measurements of SP involve three components of variation in addition to short-term changes over periods of hours or days: a general characteristic of the subject (his average SP), a general characteristic of the situation in which SP is measured (its soporific nature) and a third component that is specific for both subject and situation. The SP in one test situation, including the MSLT, may not be a reliable indicator of a subject's average SP in daily life. Perhaps we should reexamine the current concept of daytime sleepiness and its measurement.
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Despite advancements in understanding the pathophysiology of stroke and the state of the art in acute management of afflicted patients as well as in subsequent neurorehabilitation training, stroke remains the most common neurological cause of long-term disability in adulthood. To enhance stroke patients’ independence and well-being it is necessary, therefore, to consider and develop new therapeutic strategies and approaches. We postulate that sleep might play a pivotal role in neurorehabilitation following stroke. Over the last two decades compelling evidence for a major function of sleep in neuroplasticity and neural network reorganization underlying learning and memory has evolved. Training and learning of new motor skills and knowledge can modulate the characteristics of subsequent sleep, which additionally can improve memory performance. While healthy sleep appears to support neuroplasticity resulting in improved learning and memory, disturbed sleep following stroke in animals and humans can impair stroke outcome. In addition, sleep disorders such as sleep disordered breathing, insomnia, and restless legs syndrome are frequent in stroke patients and associated with worse recovery outcomes. Studies investigating the evolution of post-stroke sleep changes suggest that these changes might also reflect neural network reorganization underlying functional recovery. Experimental and clinical studies provide evidence that pharmacological sleep promotion in rodents and treatment of sleep disorders in humans improves functional outcome following stroke. Taken together, there is accumulating evidence that sleep represents a “plasticity state” in the process of recovery following ischemic stroke. However, to test the key role of sleep and sleep disorders for stroke recovery and to better understand the underlying molecular mechanisms, experimental research and large-scale prospective studies in humans are necessary. The effects of hospital conditions, such as adjusting light conditions according to the patients’ sleep-wake rhythms, or sleep promoting drugs and non-invasive brain stimulation to promote neuronal plasticity and recovery following stroke requires further investigation.
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Background and Objective We developed a Korean version of the Functional Outcomes of Sleep Questionnaire (K-FOSQ) and investigated its reliability and validity in simple snorer or obstructive sleep apnea (OSA) patients. Methods A total 432 participants (70% men, 84% OSA, mean age 50.0 ± 9.8 years) who were simple snorers or had OSA were included. We assessed the internal consistency, test-retest reliability, factor analysis, multitrait scaling analysis, and the concurrent validity of the K-FOSQ. Participants completed a battery of questionnaires including the Epworth Sleepiness Scale (ESS), Short Form-36 Health Survey (SF-36), Medical Outcomes Study-Sleep (MOS-Sleep) Scale, and Beck Depression Inventory (BDI). Results Factor analysis identified five factors, in which only 24 items met the loading criteria. The five factors of K-FOSQ accounted for 73.0% of the variance. Cronbach’s alpha coefficient for all domains exceeded the 0.70 standard for internal consistency. Test-retest reliability was acceptable (r = 0.41–0.93). Item-domain correlations ranged from 0.37 to 0.90. Only one item did not reach the threshold of 0.40. Floor effects were not observed, but ceiling effects were marked on all K-FOSQ subscales except one. All domains of K-FOSQ were significantly correlated with the corresponding scores of all tested instruments. The global K-FOSQ had a strong correlations (r > 0.50) with ESS and Sleep Problem Index-2 of MOS-Sleep, and had medium-sized correlations (r = 0.40–0.50) with BDI and SF-36 total scores. The K-FOSQ global and subscales did discriminate between participants with and without daytime sleepiness, but not between simple snorers and OSA patients. Conclusions The K-FOSQ is a reliable and valid instrument for assessing functional outcome in participants with daytime sleepiness.
Article
Each year, the American Heart Association (AHA), in conjunction with the Centers for Disease Control and Prevention, the National Institutes of Health, and other government agencies, brings together in a single document the most up-to-date statistics related to heart disease, stroke, and the cardiovascular risk factors listed in the AHA's My Life Check - Life's Simple 7 (Figure¹), which include core health behaviors (smoking, physical activity, diet, and weight) and health factors (cholesterol, blood pressure [BP], and glucose control) that contribute to cardiovascular health. The Statistical Update represents a critical resource for the lay public, policy makers, media professionals, clinicians, healthcare administrators, researchers, health advocates, and others seeking the best available data on these factors and conditions. Cardiovascular disease (CVD) and stroke produce immense health and economic burdens in the United States and globally. The Update also presents the latest data on a range of major clinical heart and circulatory disease conditions (including stroke, congenital heart disease, rhythm disorders, subclinical atherosclerosis, coronary heart disease [CHD], heart failure [HF], valvular disease, venous disease, and peripheral artery disease) and the associated outcomes (including quality of care, procedures, and economic costs). Since 2007, the annual versions of the Statistical Update have been cited >20 000 times in the literature. From January to July 2017 alone, the 2017 Statistical Update was accessed >106 500 times. Each annual version of the Statistical Update undergoes revisions to include the newest nationally representative data, add additional relevant published scientific findings, remove older information, add new sections or chapters, and increase the number of ways to access and use the assembled information. This year-long process, which begins as soon as the previous Statistical Update is published, is performed by the AHA Statistics Committee faculty volunteers and staff and government agency partners. This year's edition includes new data on the monitoring and benefits of cardiovascular health in the population, new metrics to assess and monitor healthy diets, new information on stroke in young adults, an enhanced focus on underserved and minority populations, a substantively expanded focus on the global burden of CVD, and further evidence-based approaches to changing behaviors, implementation strategies, and implications of the AHA's 2020 Impact Goals. Below are a few highlights from this year's Update.
Article
Objectives-This report presents preliminary U.S. data on deaths, death rates, life expectancy, leading causes of death, and infant mortality for 2008 by selected characteristics such as age, sex, race, and Hispanic origin. Methods-Data in this report are based on death records comprising more than 99 percent of the demographic and medical files for all deaths in the United States in 2008. The records are weighted to independent control counts for 2008. For certain causes of death such as unintentional injuries, homicides, suicides, drug-induced deaths, and sudden infant death syndrome, preliminary and final data may differ because of the truncated nature of the preliminary file. Comparisons are made with 2007 final data. Results-The age-adjusted death rate decreased from 760.2 deaths per 100,000 population in 2007 to 758.7 deaths per 100,000 population in 2008. From 2007 to 2008, age-adjusted death rates decreased significantly for 6 of the 15 leading causes of death: Diseases of heart, Malignant neoplasms, Cerebrovascular diseases, Accidents (unintentional injuries), Diabetes mellitus, andAssault (homicide). From 2007 to 2008, age-adjusted death rates increased significantly for 6 of the 15 leading causes of death: Chronic lower respiratory diseases; Alzheimer's disease; Influenza and pneumonia; Nephritis, nephrotic syndrome and nephrosis; Intentional self-harm (suicide); and Essential hypertension and hypertensive renal disease. Life expectancy decreased by 0.1 year from 77.9 years in 2007 to 77.8 in 2008.
Article
Objective The purpose of this study is to compare sleep-disordered breathing (SDB) prevalence and severity after stroke between Mexican Americans (MAs) and non-Hispanic whites (NHWs). Patients/methods Ischemic stroke (IS) patients within ∼30 days of onset were identified from the population-based BASIC Project (2010–2014) and offered screening with an overnight cardiopulmonary monitoring device, ApneaLink Plus™. The number of apneas and hypopneas per hour, as reflected by the apnea/hypopnea index (AHI), was used to measure SDB severity; SDB was defined as AHI ≥10. Ethnicity, demographics, and risk factors were collected from interviews and medical records. Log and negative-binomial regression models were used to determine prevalence ratios (PRs) and apnea/hypopnea event rate ratios (RRs) comparing MAs with NHWs after adjustment for demographics, risk factors, and stroke severity. Results A total of 549 IS cases had AHI data. The median age was 65 years (interquartile range (IQR): 57–76), 55% were men, and 65% were MA. The MAs had a higher prevalence of SDB (68.5%) than NHWs (49.5%) in unadjusted (PR = 1.38; 95% confidence interval (CI): 1.14–1.67) and adjusted analyses (PR = 1.21; 95% CI: 1.01–1.46). The median AHI was 16 (IQR: 7–31) in MAs and nine (IQR: 5–24) in NHWs. The severity of SDB (rate of apneas/hypopneas) was higher in MAs than NHWs in unadjusted (RR = 1.31; 95% CI: 1.09–1.58) but not adjusted analysis (RR = 1.14; 95% CI: 0.95–1.38). There was no ethnic difference in severity among subjects with SDB. Conclusion More than two-thirds of MA stroke patients had SDB, which was almost 40% more common among MAs than NHWs. Physicians treating MA patients after stroke should have a high index of suspicion for SDB, a treatable condition that could otherwise have adverse impact.