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Yang J, Lin A, Tan Q, Dou W, Wu J, Zhang Y, Lin H, Wei B, Huang J, Xie J. Development of insomnia in patients with stroke: A systematic review and meta-analysis. PLoS One 2024; 19:e0297941. [PMID: 38598535 PMCID: PMC11006172 DOI: 10.1371/journal.pone.0297941] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2023] [Accepted: 01/14/2024] [Indexed: 04/12/2024] Open
Abstract
BACKGROUND AND AIM Stroke is a serious threat to human life and health, and post-stroke insomnia is one of the common complications severely impairing patients' quality of life and delaying recovery. Early understanding of the relationship between stroke and post-stroke insomnia can provide clinical evidence for preventing and treating post-stroke insomnia. This study was to investigate the prevalence of insomnia in patients with stroke. METHODS The Web of Science, PubMed, Embase, and Cochrane Library databases were used to obtain the eligible studies until June 2023. The quality assessment was performed to extract valid data for meta-analysis. The prevalence rates were used a random-efect. I2 statistics were used to assess the heterogeneity of the studies. RESULTS Twenty-six studies met the inclusion criteria for meta-analysis, with 1,193,659 participants, of which 497,124 were patients with stroke.The meta-analysis indicated that 150,181 patients with stroke developed insomnia during follow-up [46.98%, 95% confidence interval (CI): 36.91-57.18] and 1806 patients with ischemic stroke (IS) or transient ischemic attack (TIA) developed insomnia (47.21%, 95% CI: 34.26-60.36). Notably, 41.51% of patients with the prevalence of nonclassified stroke developed insomnia (95% CI: 28.86-54.75). The incidence of insomnia was significantly higher in patients with acute strokes than in patients with nonacute strokes (59.16% vs 44.07%, P < 0.0001).Similarly, the incidence of insomnia was significantly higher in the patients with stroke at a mean age of ≥65 than patients with stroke at a mean age of <65 years (47.18% vs 40.50%, P < 0.05). Fifteen studies reported the follow-up time. The incidence of insomnia was significantly higher in the follow-up for ≥3 years than follow-up for <3 years (58.06% vs 43.83%, P < 0.05). Twenty-one studies used the Insomnia Assessment Diagnostic Tool, and the rate of insomnia in patients with stroke was 49.31% (95% CI: 38.59-60.06). Five studies used self-reporting, that the rate of insomnia in patients with stroke was 37.58% (95% CI: 13.44-65.63). CONCLUSIONS Stroke may be a predisposing factor for insomnia. Insomnia is more likely to occur in acute-phase stroke, and the prevalence of insomnia increases with patient age and follow-up time. Further, the rate of insomnia is higher in patients with stroke who use the Insomnia Assessment Diagnostic Tool.
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Affiliation(s)
- Junwei Yang
- The First Affiliated Hospital of Guangxi University of Chinese Medicine, Nanning, Guangxi, 530023, China
| | - Aitao Lin
- Guangxi University of Traditional Chinese Medicine, Nanning, Guangxi, 530001, China
| | - Qingjing Tan
- The First Affiliated Hospital of Guangxi University of Chinese Medicine, Nanning, Guangxi, 530023, China
| | - Weihua Dou
- The First Affiliated Hospital of Guangxi University of Chinese Medicine, Nanning, Guangxi, 530023, China
| | - Jinyu Wu
- The First Affiliated Hospital of Guangxi University of Chinese Medicine, Nanning, Guangxi, 530023, China
| | - Yang Zhang
- The First Affiliated Hospital of Guangxi University of Chinese Medicine, Nanning, Guangxi, 530023, China
| | - Haohai Lin
- The First Affiliated Hospital of Guangxi University of Chinese Medicine, Nanning, Guangxi, 530023, China
| | - Baoping Wei
- The First Affiliated Hospital of Guangxi University of Chinese Medicine, Nanning, Guangxi, 530023, China
| | - Jiemin Huang
- The First Affiliated Hospital of Guangxi University of Chinese Medicine, Nanning, Guangxi, 530023, China
| | - Juanjuan Xie
- The First Affiliated Hospital of Guangxi University of Chinese Medicine, Nanning, Guangxi, 530023, China
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Tsai HJ, Wong YS, Ong CT. Clinical course and risk factors for sleep disturbance in patients with ischemic stroke. PLoS One 2022; 17:e0277309. [PMID: 36346797 PMCID: PMC9642877 DOI: 10.1371/journal.pone.0277309] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2022] [Accepted: 10/23/2022] [Indexed: 11/10/2022] Open
Abstract
Background Studies on insomnia in patients with ischemic stroke, particularly in the acute phase, are limited. The proportion of patients with sleep disturbance during the acute stroke period who are likely to develop insomnia in subacute and chronic stages of stroke is unknown. This study aimed to investigate the risk factors for sleep disturbance and the clinical course of the disease in patients with acute ischemic stroke. Methods This prospective observational study included patients diagnosed with ischemic stroke between July 1, 2020, and October 31, 2021. The Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5) for insomnia and the eight-item Athens Insomnia Scale (CAIS-8) were used to diagnose insomnia. Beck Depression Inventory (BDI) was applied to evaluate the mood of patients. Patient reported their sleeping conditions, before stroke onset and during the acute (within 7 days) and chronic (3 months after presentation) stroke periods. Results In total, 195 patients with ischemic stroke were included in this study. Of these, 34.3% (67), 37.4% (73), and 29.7% (58) presented with sleep disturbance before stroke onset and during the acute and chronic stroke periods, respectively. Of the 128 patients without insomnia before stroke onset, 15.6% (20/128) presented with insomnia symptoms 3 months after stroke onset. Moreover, 13 (12.7%) of the 102 patients without sleep disturbance during the acute stroke period developed insomnia 3 months after stroke onset. Of the 67 patients with insomnia before stroke onset 29 (43.3%) did not develop the condition 3 months after stroke onset. A higher risk of sleep disturbance was associated with atrial fibrillation, hypertension, and mood disturbance in the acute stroke period, and a higher risk of insomnia was associated with low education and mood disturbance in the chronic stroke period. Conclusion The prevalence rates of sleep disturbance before and during the acute and chronic stroke periods were 34.3%, 37.4%, and 29.7%, respectively. The incidence of stroke-related insomnia was 15.6%. Patients with insomnia before stroke may recover after the stroke. Atrial fibrillation, hypertension, and mood disturbance were associated with a higher risk of sleep disturbance in the acute stroke period, whereas low education and mood disturbance were associated with insomnia in the chronic stroke period.
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Affiliation(s)
- Hui-Ju Tsai
- Department of Internal Medicine, Ditmanson Medical Foundation Chia-Yi Christian Hospital, Chia-Yi, Taiwan
| | - Yi-Sin Wong
- Department of Family Medicine, Ditmanson Medical Foundation Chia-Yi Christian Hospital, Chia-Yi, Taiwan
| | - Cheung-Ter Ong
- Department of Neurology, Ditmanson Medical Foundation Chia-Yi Christian Hospital, Chia-Yi, Taiwan
- * E-mail:
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Li XR, Zhang WH, Williams JP, Li T, Yuan JH, Du Y, Liu JD, Wu Z, Xiao ZY, Zhang R, Liu GK, Zheng GR, Zhang DY, Ma H, Guo QL, An JX. A multicenter survey of perioperative anxiety in China: Pre- and postoperative associations. J Psychosom Res 2021; 147:110528. [PMID: 34034140 DOI: 10.1016/j.jpsychores.2021.110528] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/08/2020] [Revised: 05/17/2021] [Accepted: 05/17/2021] [Indexed: 01/09/2023]
Abstract
OBJECTIVES To describe patient characteristics associated with preoperative anxiety and subsequently assess the relationship between preoperative anxiety and postoperative anxiety, pain, sleep quality, nausea and vomiting. METHODS The study collected data from patients undergoing elective operation from 12 hospitals in China. The State-Trait Anxiety Inventory (STAI) and the Athens Insomnia Scale (AIS) were used to assess anxiety and sleep quality before surgery. Evaluations of anxiety, pain, sleep quality, nausea and vomiting were quantified using the Visual Analogue Scale on postoperative days 1 and 2. RESULTS Data from 997 patients were analyzed. Preoperatively, 258 (25.9%) patients had high anxiety (STAI-State>44). Multivariate analyses showed a significant relationship between high anxiety and female gender (OR: 1.66, 95% CI: 1.08-2.57, p = 0.02), highly invasive surgery (OR: 2.29, 95% CI: 1.29-4.06, p = 0.005), higher trait anxiety (OR: 1.24, 95% CI: 1.20-1.28, p < 0.001) and insomnia (AIS ≥ 6, OR: 1.79, 95% CI: 1.17-2.76, p = 0.008). Preoperative anxiety demonstrated a negative correlation with postoperative anxiety following highly invasive surgery; this became a positive relationship following less invasive surgery. Preoperative anxiety was also positively related to postoperative pain and poor sleep quality. The correlation between preoperative anxiety and postoperative nausea and vomiting was not statistically significant. CONCLUSION Female gender, highly invasive surgery, higher trait anxiety and insomnia are independent risk factors for high preoperative anxiety. Surgical invasiveness influences association between pre- and postoperative anxiety. Higher preoperative anxiety is related to poorer sleep quality and more severe pain postoperatively.
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Affiliation(s)
- Xi-Rong Li
- Department of Anesthesiology, Pain and Sleep Medicine, Aviation General Hospital of China Medical University and Beijing Institute of Translational Medicine, Chinese Academy of Sciences, Beijing, China; School of Anesthesiology, Weifang Medical University, Weifang, Shangdong, China
| | - Wen-Hao Zhang
- Department of Anesthesiology, Pain and Sleep Medicine, Aviation General Hospital of China Medical University and Beijing Institute of Translational Medicine, Chinese Academy of Sciences, Beijing, China
| | - John P Williams
- Department of Anesthesiology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Tong Li
- Department of Pain, Lanzhou Maternity and Child Healthcare Hospital, Lanzhou, Gansu, China
| | - Jian-Hu Yuan
- Department of Anesthesiology, Beijing Rectum Hospital, Beijing, China
| | - Yun Du
- Department of Anesthesiology, University of Chinese Academy of Sciences Affiliated Chongqing Hospital, Chongqing, China
| | - Jin-De Liu
- Department of Anesthesiology, University of Chinese Academy of Sciences Affiliated North China Hospital, Renqiu, Hebei, China
| | - Zhe Wu
- Department of Anesthesiology, Pain and Sleep Medicine, Aviation General Hospital of China Medical University and Beijing Institute of Translational Medicine, Chinese Academy of Sciences, Beijing, China
| | - Zhao-Yang Xiao
- Department of Anesthesiology, The Second Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China
| | - Rui Zhang
- School of Anesthesiology, Weifang Medical University, Weifang, Shangdong, China
| | - Guo-Kai Liu
- Department of Anesthesiology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
| | - Guan-Rong Zheng
- Department of Anesthesiology, Shengli Oilfield Central Hospital, Dongying, Shangdong, China
| | - Dong-Ya Zhang
- Department of Anesthesiology, Beijing Huaxin Hospital, The First Affiliated Hospital of Tsinghua University, Beijing, China
| | - Hong Ma
- Department of Anesthesiology, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, China
| | - Qu-Lian Guo
- Department of Anesthesiology, Xiangya Hospital of Central South University, Changsha, Hunan, China
| | - Jian-Xiong An
- Department of Anesthesiology, Pain and Sleep Medicine, Aviation General Hospital of China Medical University and Beijing Institute of Translational Medicine, Chinese Academy of Sciences, Beijing, China; School of Anesthesiology, Weifang Medical University, Weifang, Shangdong, China.
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Mansour AH, Ayad M, El-Khayat N, El Sadek A, Alloush TK. Post-stroke sleep disorders in Egyptian patients by using simply administered questionnaires: a study from Ain Shams University. THE EGYPTIAN JOURNAL OF NEUROLOGY, PSYCHIATRY AND NEUROSURGERY 2020. [DOI: 10.1186/s41983-020-0148-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Abstract
Abstract
Introduction
Stroke is a leading cause of disability worldwide with grave morbidity and mortality. Sleep and stroke have a definite intermingling neuropathological relationship, so along with expeditious acute management, efficient secondary prevention and consistent rehabilitation, sleep disorders’ management has a hand in offering a medical service up to the mark.
Objective
Screening of sleep disorders’ prevalence in patients who survived a previous stroke by applying simple questionnaires and to determine the correlation between these disorders and stroke’s demographic, clinical, and risk factor variables.
Methods
Cross-sectional prospective study on 75 stroke patients from stroke outpatient clinic and all patients were subjected to answer a sheet of sleep questionnaire, Pittsburg Sleep Quality Index (PSQI), Epworth Sleepiness Scale (ESS), and Apnea/Hypopnea Index (AHI), Arabic versions. Results
A total of 70.6 % were found to have sleep disorders, 61.6% had poor sleep quality, 20% had a severe degree of excessive day time sleepiness (EDS). Sleep disorders were more prevalent in the moderate severity of stroke by NIHSS and in the first 1–4 weeks. There was no correlation between the occurrence of sleep disorders and the site of the lesion.
Conclusion
Sleep disorders are broadly prevalent after a stroke. Resulting damage impedes the functional outcome. Simple questionnaires are easy applicable methods for screening of such disorders in post-stroke patients. Guidelines needed regarding screening and management of sleep disorders after a stroke.
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