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Zhang P, Wang L, Xue J, Ou Y, Ma Q, Fu Y, Yuan X. Sleep architecture characteristics in patients with acute ischemic stroke. Sci Rep 2025; 15:16996. [PMID: 40379769 PMCID: PMC12084593 DOI: 10.1038/s41598-025-01619-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2024] [Accepted: 05/07/2025] [Indexed: 05/19/2025] Open
Abstract
To investigate the changes in sleep architecture in patients with acute ischemic stroke (AIS) accompanied by sleep-disordered breathing (SDB), providing a basis for clinical treatment strategies. 1367 patients with acute ischemic stroke within 48 h of onset who were hospitalized in the Department of Neurology of Kailuan General Hospital from November 2020 to December 2022 were selected. Among them, 963 cases were male and 404 cases were female, age: 33-92 (66.12 ± 10.62) years old.From the start of hospitalization, patients were monitored for 5 consecutive days using the intelligent mattress type sleep monitoring platform system (IMTSMPS). From day 1 to day 5, there was a difference in non-rapid eye movement 3 (NREM3) sleep (min) day two, and day five compared to day one in the ACI without SDB group (p = 0.019), and rapid eye movement (REM) sleep (min) day three compared to day five in the ACI with SDB group (p = 0.001). TST (min), SL (min), WASO (min), TOB (min), NOA (min), HRV1, fluctuated between 5 d in mild SDB group (p < 0.05). SL (min), TOB (min), NOA (min), and HAV1(%) in the moderate SDB group, with fluctuations between 5 d (P < 0.05). TST (min), SL (min), REML(min), NREM3 (min), REM (min), proportion of REM sleep(%), TOB (min), NOA (min)in severe SDB group, there were fluctuations between 5 d (P < 0.05). SDB is one of the most common concomitant symptoms in AIS patients and is closely associated with multiple forms of altered sleep structure. AIS patients without SDB mainly showed changes in NREM3 sleep structure. AIS and SDB patients mainly showed changes in the structure of REM sleep. Different levels of SDB in AIS patients lead to different forms of structural changes in sleep.
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Affiliation(s)
- Pingshu Zhang
- Department of Neurology of Kailuan General Hospital affiliated North China University of Science and Technology, Tangshan City, Hebei Province, China
- Hebei Provincial Key Laboratory of Neurobiological Function, Tangshan City, Hebei Province, China
| | - Lianhui Wang
- Department of Neurology of Kailuan General Hospital affiliated North China University of Science and Technology, Tangshan City, Hebei Province, China
- Hebei Provincial Key Laboratory of Neurobiological Function, Tangshan City, Hebei Province, China
| | - Jing Xue
- Department of Neurology of Kailuan General Hospital affiliated North China University of Science and Technology, Tangshan City, Hebei Province, China
- Hebei Provincial Key Laboratory of Neurobiological Function, Tangshan City, Hebei Province, China
| | - Ya Ou
- Department of Neurology of Kailuan General Hospital affiliated North China University of Science and Technology, Tangshan City, Hebei Province, China
- Hebei Provincial Key Laboratory of Neurobiological Function, Tangshan City, Hebei Province, China
| | - Qian Ma
- Department of Neurology of Kailuan General Hospital affiliated North China University of Science and Technology, Tangshan City, Hebei Province, China
- Hebei Provincial Key Laboratory of Neurobiological Function, Tangshan City, Hebei Province, China
| | - Yongshan Fu
- Department of Neurology of Kailuan General Hospital affiliated North China University of Science and Technology, Tangshan City, Hebei Province, China
- Hebei Provincial Key Laboratory of Neurobiological Function, Tangshan City, Hebei Province, China
| | - Xiaodong Yuan
- Department of Neurology of Kailuan General Hospital affiliated North China University of Science and Technology, Tangshan City, Hebei Province, China.
- Hebei Provincial Key Laboratory of Neurobiological Function, Tangshan City, Hebei Province, China.
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Su X, Liu S, Wang C, Cai Y, Li Y, Wang D, Fan Z, Jiang Y. Prevalence, incidence, and the time trends of sleep-disordered breathing among patients with stroke: a systematic review and meta-analysis. Front Neurol 2024; 15:1432085. [PMID: 39624673 PMCID: PMC11609221 DOI: 10.3389/fneur.2024.1432085] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2024] [Accepted: 11/06/2024] [Indexed: 03/17/2025] Open
Abstract
BACKGROUND Recent studies have investigated the epidemiological burden of sleep-disordered breathing (SDB) in patients with stroke; however, the results have been inconsistent, and the temporal trends of SDB after stroke remain unclear. OBJECTIVE To perform a systematic review and meta-analysis of the prevalence and incidence of post-stroke SDB, evaluate demographic and clinical characteristic predictors of post-stroke SDB, and examine temporal trends in the overall burden of post-stroke SDB. METHODS We searched PubMed, MEDLINE, Embase, Web of Science, CINAHL, and the Cochrane Library for studies reporting the burden of SDB in stroke patients published between 1 January 2010 and 30 December 2023. Two researchers independently screened the records for eligibility, extracted the data, and assessed the quality of the studies. Data were analyzed using random effects meta-analyses, and sources of heterogeneity were explored using subgroup analyses and meta-regression analyses. RESULTS Out of the 8,799 references retrieved, none examined the incidence of SDB after stroke. However, 85 studies from 26 countries examined the prevalence of SDB and were included. The overall prevalence of SDB, mild SDB, and moderate to severe SDB were 60.0% (95% CI, 60.0-70.0%), 30.0% (95% CI, 23.0-37.0%), and 45.0% (95% CI, 33.0-57.0%), respectively. Meta-regression revealed that sex (p < 0.0001) and sample size (p < 0.01) were sources of heterogeneity among the studies. The pooled overall prevalence of SDB remained stable over time. CONCLUSION SDB is common in patients with stroke, and no reduction in the high prevalence of SDB has been observed over time, suggesting that early screening and prevention of post-stroke SDB still have not received sufficient attention. Moreover, additional studies investigating the incidence of this disease are needed to inform clinical practice.
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Affiliation(s)
- Xiaofeng Su
- Evidence-Based Nursing Center, West China Hospital, West China School of Nursing, Sichuan University, Chengdu, China
| | - Shanshan Liu
- Evidence-Based Nursing Center, West China Hospital, West China School of Nursing, Sichuan University, Chengdu, China
| | - Cong Wang
- Evidence-Based Nursing Center, West China Hospital, West China School of Nursing, Sichuan University, Chengdu, China
| | - Yan Cai
- Evidence-Based Nursing Center, West China Hospital, West China School of Nursing, Sichuan University, Chengdu, China
| | - Yijing Li
- Evidence-Based Nursing Center, West China Hospital, West China School of Nursing, Sichuan University, Chengdu, China
| | - Dongmin Wang
- Evidence-Based Nursing Center, West China Hospital, West China School of Nursing, Sichuan University, Chengdu, China
| | - Zhaofeng Fan
- Department of Neurosurgery, West China Hospital, West China School of Nursing, Sichuan University, Chengdu, China
| | - Yan Jiang
- Department of Nursing, West China Hospital, West China School of Nursing, Sichuan University, Chengdu, China
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Wang L, Zhang P, Xue J, Ma Q, Fu Y, Ou Y, Yuan X. Variability in sleep architecture and alterations in circadian rhythms in patients with acute cerebral infarction accompanied by sleep-disordered breathing. Sleep Breath 2024; 28:2017-2027. [PMID: 39012435 DOI: 10.1007/s11325-024-03105-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2023] [Revised: 06/15/2024] [Accepted: 07/01/2024] [Indexed: 07/17/2024]
Abstract
PURPOSE To continuously and dynamically monitor the sleep status of patients in the acute phase of cerebral infarction, and to investigate the characteristics of acute cerebral infarction(ACI)associated with sleep-disordered breathing (SDB), variations in sleep structure, and changes in sleep circadian rhythms. METHODS Patients with ACI within 48 h of onset who were admitted to the Department of Neurology at Kailuan General Hospital from November 2020 to December 2022 were selected. Detailed baseline information such as age, gender, smoking history, drinking history, were recorded for the selected participants. From the beginning of their hospitalization, the selected participants were monitored for their sleep status continuously for 5 days using the Intelligent Mattress-based Sleep Monitoring Platform System(IMSMPS). Based on the heart rate data obtained from the monitoring, the interdaily stability (IS) and intradaily variability (IV) of the sleep circadian rhythm were calculated. RESULTS 1,367 patients with ACI were selected. Monitoring results over 5 days indicated 147 cases (10.75%) without SDB, and 1,220 cases (89.25%) with SDB. Among the group with SDB, there were 248 cases (18.14%) with continuous mild SDB, 395 cases (28.90%) with moderate SDB, 295 cases (21.58%) with severe SDB, and 282 cases (20.63%) that fluctuated between different severity levels. Within this fluctuating group, 152 cases (53.90%) fluctuated between two severity levels, 120 cases (42.55%) between three levels, and 10 cases (3.55%) among all four levels. There were statistically significant differences (P < 0.05) in the sleep latency, sleep efficiency, non-rapid eye movement stages 1-2, rapid eye movement, proportion of non-rapid eye movement, proportion of rapid eye movement, wake after sleep onset, time out of bed, number of awakenings, respiratory variability index, and heart rate variability index among patients with ACI monitored from day 1 to 5. However, other monitored sleep structure parameters did not show statistically significant differences (P > 0.05). The coefficient of variation for all sleep monitoring parameters ranged between 14.54 and 36.57%. The IV in the SDB group was higher than in the group without SDB (P < 0.05), and the IS was lower than in the group without SDB (P < 0.05). CONCLUSION Patients in the acute phase of cerebral infarction have a high probability of accompanying SDB. The sleep structure of these patients shows significant variability based on the onset time of the stroke, and some patients experience fluctuations among different severity levels of SDB. ACI accompanied by SDB can further reduce the IS of a patient's sleep circadian rhythm and increase its IV.
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Affiliation(s)
- Lianhui Wang
- Department of Neurology, Kailuan General Hospital, affiliated with North China University of Science and Technology, Tangshan, Hebei, 063000, China
- Hebei Provincial Key Laboratory of Neurobiological Function, Tangshan, Hebei, 063000, China
- Tangshan Key Laboratory of Neurology, Tangshan, Hebei, 063000, China
| | - Pingshu Zhang
- Department of Neurology, Kailuan General Hospital, affiliated with North China University of Science and Technology, Tangshan, Hebei, 063000, China
- Hebei Provincial Key Laboratory of Neurobiological Function, Tangshan, Hebei, 063000, China
- Tangshan Key Laboratory of Neurology, Tangshan, Hebei, 063000, China
| | - Jing Xue
- Department of Neurology, Kailuan General Hospital, affiliated with North China University of Science and Technology, Tangshan, Hebei, 063000, China
- Hebei Provincial Key Laboratory of Neurobiological Function, Tangshan, Hebei, 063000, China
- Tangshan Key Laboratory of Neurology, Tangshan, Hebei, 063000, China
| | - Qian Ma
- Department of Neurology, Kailuan General Hospital, affiliated with North China University of Science and Technology, Tangshan, Hebei, 063000, China
- Hebei Provincial Key Laboratory of Neurobiological Function, Tangshan, Hebei, 063000, China
- Tangshan Key Laboratory of Neurology, Tangshan, Hebei, 063000, China
| | - Yongshan Fu
- Department of Neurology, Kailuan General Hospital, affiliated with North China University of Science and Technology, Tangshan, Hebei, 063000, China
- Hebei Provincial Key Laboratory of Neurobiological Function, Tangshan, Hebei, 063000, China
- Tangshan Key Laboratory of Neurology, Tangshan, Hebei, 063000, China
| | - Ya Ou
- Department of Neurology, Kailuan General Hospital, affiliated with North China University of Science and Technology, Tangshan, Hebei, 063000, China
- Hebei Provincial Key Laboratory of Neurobiological Function, Tangshan, Hebei, 063000, China
- Tangshan Key Laboratory of Neurology, Tangshan, Hebei, 063000, China
| | - Xiaodong Yuan
- Department of Neurology, Kailuan General Hospital, affiliated with North China University of Science and Technology, Tangshan, Hebei, 063000, China.
- Hebei Provincial Key Laboratory of Neurobiological Function, Tangshan, Hebei, 063000, China.
- Tangshan Key Laboratory of Neurology, Tangshan, Hebei, 063000, China.
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Hale E, Gottlieb E, Usseglio J, Shechter A. Post-stroke sleep disturbance and recurrent cardiovascular and cerebrovascular events: A systematic review and meta-analysis. Sleep Med 2023; 104:29-41. [PMID: 36889030 PMCID: PMC10098455 DOI: 10.1016/j.sleep.2023.02.019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/22/2022] [Revised: 02/10/2023] [Accepted: 02/18/2023] [Indexed: 02/22/2023]
Abstract
Despite improvements in survival rates, risk of recurrent events following stroke remains high. Identifying intervention targets to reduce secondary cardiovascular risk in stroke survivors is a priority. The relationship between sleep and stroke is complex: sleep disturbances are likely both a contributor to, and consequence of, stroke. The current aim was to examine the association between sleep disturbance and recurrent major acute coronary events or all-cause mortality in the post-stroke population. Thirty-two studies were identified, including 22 observational studies and 10 randomized clinical trials (RCTs). Identified studies included the following as predictors of post-stroke recurrent events: obstructive sleep apnea (OSA, n = 15 studies), treatment of OSA with positive airway pressure (PAP, n = 13 studies), sleep quality and/or insomnia (n = 3 studies), sleep duration (n = 1 study), polysomnographic sleep/sleep architecture metrics (n = 1 study), and restless legs syndrome (n = 1 study). A positive relationship of OSA and/or OSA severity with recurrent events/mortality was seen. Findings on PAP treatment for OSA were mixed. Positive findings indicating a benefit of PAP for post-stroke risk came largely from observational studies (pooled RR [95% CI] for association between PAP and recurrent cardiovascular event: 0.37 [0.17-0.79], I2 = 0%). Negative findings came largely from RCTs (RR [95% CI] for association between PAP and recurrent cardiovascular event + death: 0.70 [0.43-1.13], I2 = 30%). From the limited number of studies conducted to date, insomnia symptoms/poor sleep quality and long sleep duration were associated with increased risk. Sleep, a modifiable behavior, may be a secondary prevention target to reduce the risk of recurrent event and death following stroke. SYSTEMATIC REVIEW REGISTRATION: PROSPERO CRD42021266558.
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Affiliation(s)
- Evan Hale
- Columbia University Vagelos College of Physicians and Surgeons, New York, NY, USA
| | - Elie Gottlieb
- The Florey Institute of Neuroscience and Mental Health, Melbourne, Victoria, Australia; SleepScore Labs, Carslbad, CA, USA
| | - John Usseglio
- Center for Behavioral Cardiovascular Health, Columbia University Irving Medical Center, New York, NY, USA; Augustus C. Long Health Sciences Library, Columbia University Irving Medical Center, New York, NY, USA
| | - Ari Shechter
- Center for Behavioral Cardiovascular Health, Columbia University Irving Medical Center, New York, NY, USA; Center of Excellence for Sleep & Circadian Research, Columbia University Irving Medical Center, New York, NY, USA.
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