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Hwang PJ, Fick DM. Post-Stroke Cognitive Impairment: A Narrative Review of the Comprehensive Screening and Detecting Process. J Gerontol Nurs 2025; 51:19-27. [PMID: 40014414 DOI: 10.3928/00989134-20250212-03] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/01/2025]
Abstract
PURPOSE To examine screening procedures and tools for post-stroke cognitive impairment (PSCI) to guide future practices and research. METHOD Searches in PubMed, CINAHL, PsycINFO, and Google Scholar included articles from 2013 to 2023 focusing on individuals with first ever ischemic stroke and confirming PSCI within 1 year. Thematic analysis was synthesized narratively. RESULTS Eight studies (two cross-sectional and six prospective cohorts) with 25,443 participants were reviewed. Screening for PSCI was typically performed within 3 to 6 months post-stroke. Montreal Cognitive Assessment and Mini-Mental State Examination were the most commonly used tools, but cutoff scores varied widely. Screening involved pre- and post-stroke cognitive screening and identifying risk factors. CONCLUSION Significant variability exists in PSCI assessment tools, cutoff, and timing. Further research is needed to standardize screening protocols, focusing on criteria, timing, accuracy, and feasibility. Early and repeated screening with risk management can improve PSCI prevention. [Journal of Gerontological Nursing, 51(3), 19-27.].
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Ning Y, Guo J, Pan D, Wu S, Song L, Wang C, Guo J, Gao X, Zhang J, Guo L, Gu Y. The Effects of Carotid Revascularization on 1-Year Cognitive Performance in Patients With Carotid Artery Stenosis. J Endovasc Ther 2024:15266028241252007. [PMID: 38733298 DOI: 10.1177/15266028241252007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/13/2024]
Abstract
PURPOSE The impact of carotid revascularization on cognitive function for patients with severe carotid artery stenosis remains uncertain. This study is aimed to investigate the 1-year neurocognitive outcomes of patients who accept carotid revascularization and identify the risk factors associated with postoperative cognitive decline. METHODS From April 2019 to April 2021, patients with ≥70% carotid artery stenosis who were treated with carotid endarterectomy (CEA) or carotid artery stenting (CAS) were recruited for this study. The Montreal Cognitive Assessment (MoCA) instrument was used to evaluate cognitive function preoperatively and at 3, 6, and 12 months postoperatively. Logistic regression analysis was built to identify potential risk factors for postoperative long-term cognitive decline. RESULTS A total of 89 patients who met the criteria were enrolled and completed 1-year follow-up. At 3, 6, and 12 months after carotid revascularization, the total MoCA score, attention, language fluency, and delayed recall score were significantly improved compared with the baseline scores (p<0.05). At 12 months, there was also a significant improvement in cube copying compared with baseline (p=0.034). Logistic regression analysis showed that the advancing age, left side, and symptomatic carotid artery stenosis were independent risk factors for cognitive deterioration at 12 months after surgery. CONCLUSIONS Overall, carotid revascularization has a beneficial effect on cognition function in patients with severe carotid artery stenosis, while advancing age, left side, and symptomatic carotid artery stenosis were significantly related to a decreased cognitive score after carotid revascularization. CLINICAL IMPACT This study focused on the changes in cognitive function within 1 year after carotid revascularization in patients with severe carotid stenosis. Of course, carotid revascularization can improve the cognition function in these patients. On the other hand, we found the advancing age, left side and symptomatic carotid artery stenosis were significantly associated with decreased cognitive scores at 1 year after carotid revascularization, which suggests that clinicians may need to be aware of patients with these characteristics.
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Affiliation(s)
- Yachan Ning
- Department of Vascular Surgery, Xuanwu Hospital and Institute of Vascular Surgery, Capital Medical University, Beijing, China
- Department of Intensive Care Medicine, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Julong Guo
- Department of Vascular Surgery, Xuanwu Hospital and Institute of Vascular Surgery, Capital Medical University, Beijing, China
| | - Dikang Pan
- Department of Vascular Surgery, Xuanwu Hospital and Institute of Vascular Surgery, Capital Medical University, Beijing, China
| | - Sensen Wu
- Department of Vascular Surgery, Xuanwu Hospital and Institute of Vascular Surgery, Capital Medical University, Beijing, China
| | - Lipo Song
- Department of Intensive Care Medicine, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Chunmei Wang
- Department of Intensive Care Medicine, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Jianming Guo
- Department of Vascular Surgery, Xuanwu Hospital and Institute of Vascular Surgery, Capital Medical University, Beijing, China
| | - Xixiang Gao
- Department of Vascular Surgery, Xuanwu Hospital and Institute of Vascular Surgery, Capital Medical University, Beijing, China
| | - Jian Zhang
- Department of Vascular Surgery, Xuanwu Hospital and Institute of Vascular Surgery, Capital Medical University, Beijing, China
| | - Lianrui Guo
- Department of Vascular Surgery, Xuanwu Hospital and Institute of Vascular Surgery, Capital Medical University, Beijing, China
| | - Yongquan Gu
- Department of Vascular Surgery, Xuanwu Hospital and Institute of Vascular Surgery, Capital Medical University, Beijing, China
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Weterings RPC, Kessels RPC, de Leeuw FE, Piai V. Cognitive impairment after a stroke in young adults: A systematic review and meta-analysis. Int J Stroke 2023; 18:888-897. [PMID: 36765436 PMCID: PMC10507997 DOI: 10.1177/17474930231159267] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2022] [Accepted: 01/29/2023] [Indexed: 02/12/2023]
Abstract
BACKGROUND Information about cognitive functioning is vital in the management of stroke, but the literature is mostly based on data from individuals older than 50 years of age who make up the majority of the stroke population. As cognitive functioning is subject to change due to aging, it is unclear whether such cognitive impairment patterns from the general stroke literature apply to the growing population of younger people with a stroke. AIM The aim of the study was to conduct a systematic review and meta-analysis of the proportion and severity of cognitive impairment in young-stroke patients. SUMMARY OF REVIEW MEDLINE, Embase, PsycINFO, and Web of Science were systematically searched up to 11 October 2022. Studies were included if they reported on a population of young-stroke patients, evaluated cognitive functioning as an outcome measure, and reported original data. We estimated the pooled prevalence rates for cognitive impairment and for aphasia. In addition, we calculated the pooled estimates for the severity of impairment per cognitive domain in the chronic phase (defined as >6 months post-stroke). Six hundred thirty-five articles were identified, of which 29 were eligible for inclusion. The pooled prevalence of cognitive impairment was 44% (k = 10; 95% confidence interval (CI): 34-54%) and of aphasia 22% (k = 13; 95% CI: 12-39%). Young-stroke patients in the chronic phase performed worse than stroke-free healthy age-appropriate controls across all cognitive domains examined, with Hedges' g effect sizes ranging from -0.49 to -1.64. CONCLUSION Around half of all young-stroke patients present with cognitive impairment and around a quarter with aphasia. Our data suggest that patterns of impairment in young-stroke patients follow those in the general stroke literature.
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Affiliation(s)
- Rosemarije PC Weterings
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
- Department of Neurology, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Roy PC Kessels
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
- Department of Medical Psychology, Radboud University Medical Center and Donders Institute for Brain, Cognition and Behaviour, Nijmegen, The Netherlands
- Vincent van Gogh Institute for Psychiatry, Venray, The Netherlands
| | - Frank-Erik de Leeuw
- Department of Neurology, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Vitória Piai
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
- Department of Medical Psychology, Radboud University Medical Center and Donders Institute for Brain, Cognition and Behaviour, Nijmegen, The Netherlands
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Li JR, Yu Y, Meng FX, Yu J, Luo BY, Gao J. The relationship between a fish-rich diet and poststroke cognitive impairment: A cross-sectional study with a follow-up in China. Medicine (Baltimore) 2022; 101:e29234. [PMID: 35758350 PMCID: PMC9276365 DOI: 10.1097/md.0000000000029234] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/06/2021] [Accepted: 03/16/2022] [Indexed: 11/26/2022] Open
Abstract
Whether a fish-rich diet is positively associated with cognitive function after stroke remains unclear; thus, the present study investigated the relationship between them.The present study was part of a prospective multicenter study, in which 920 individuals (609 males, mean age, 62.78 ± 11.79 years) were included from November 2013 to December 2015. The cognitive function of the patients was evaluated, and the diagnosis of poststroke cognitive impairment (PSCI) was made during their stay in the hospital. A subgroup of 439 patients from a single center was followed up for 4 to 6 years and was reassessed for cognitive function.According to the diagnostic criteria, the PSCI prevalence was lower in the fish-rich diet group (P < .05). After adjusting for demographic and clinical variables by logistic regression, patients with a habit of consuming a fish-rich diet had a lower risk of developing PSCI than patients without a fish-rich diet (odds ratio [OR]: 0.74; 95% confidence interval [CI]: 0.46-0.95). When MMSE score was considered the cognitive function outcome variable, the long-term cognitive function of the fish-rich diet group was better (28 [26-30] vs 27 [25-29], P < .01), but the statistical results were not significant after correcting for the related confounding factors (β: 0.13; 95% CI: -0.99-1.25; P = .82).There was a negative relationship between consuming a fish-rich diet and the prevalence of PSCI, and there was no statistically significant difference in the relationship of a fish-rich diet on long-term cognitive function after stroke, which requires further study.
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Affiliation(s)
- Jia-Rui Li
- Department of Neurology and Brain Medical Center, First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
- Zhejiang University School of Medicine, Hangzhou, China
| | - Yang Yu
- Department of Neurology and Brain Medical Center, First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Fan-Xia Meng
- Department of Neurology and Brain Medical Center, First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Jie Yu
- Department of Neurology and Brain Medical Center, First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Ben-Yan Luo
- Department of Neurology and Brain Medical Center, First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Jian Gao
- Department of Rehabilitation, Hangzhou Mingzhou Brain Rehabilitation Hospital, Hangzhou, China
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Awujoola A, Sodeke P, Olufeyisayo O, Mokikan M, Adeyemi E, Babalola G, Awujoola O, Okon M, Nathaniel TI. Clinical Risk Factors Associated with Ambulatory Outcome in Acute Ischemic Stroke Patients Smokers Treated with Thrombolytic Therapy. Am J Med Sci 2021; 362:363-374. [PMID: 34077707 DOI: 10.1016/j.amjms.2021.01.028] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2020] [Revised: 01/20/2021] [Accepted: 01/26/2021] [Indexed: 02/03/2023]
Abstract
BACKGROUND Patients who have suffered an acute ischemic stroke (AIS) and are smokers may have a better outcome following thrombolytic therapy when compared with non-smokers. While this finding is controversial, data on baseline clinical risk factors to predict treatment efficacy of thrombolytic therapy using ambulatory status in patients who suffered AIS and are smokers is not common. METHODS Between 2010 and 2016, retrospective data on patients who have suffered an AIS and received recombinant tissue plasminogen activator (rtPA) were obtained from Greenville health system registry. Assessment of clinical risk factors and the likelihood of an improvement in post-stroke ambulation among smokers and non-smokers was carried out using multivariate logistic regression. RESULTS Of 1001 patients, 70.8% were smokers and 29.2% non-smokers. Among the smokers and non-smokers, 74.6% and 84.6% improvement in ambulation respectively at discharge. The odds of improved ambulation decrease among smokers as age group increases compared to those below 50 [(60-69 years, aOR, 0.30, 95% C.I, 0.108-0.850, p < 0.05), (70-79 years aOR, 0.27, 95% C.I, 0.096-0.734, p < 0.05), (80+ years aOR, 0.16, 95% C.I, 0.057-0.430, P < 0.01). Patients with National Institute of Health Stroke Scale Score (NIHSS) score > 7 (reference <7) were 91% less likely to have improved ambulation among smokers and non-smokers (aOR, 0.09, 95% C.I, 0.055-0.155, P = 0.01), and (aOR, 0.08, 95% C.I, 0.027-0.214, P = 0.01) respectively. Atrial fibrillation was an independent predictor of decreased improvement in ambulation only among smokers (aOR, 0.58, 95% C.I, 0.356-0.928 P < 0.05). CONCLUSION Our findings suggest that elderly smokers with atrial fibrillation would benefit more from aggressive management of atrial fibrillation than non-smokers.
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Affiliation(s)
- Adeola Awujoola
- East Tennessee State University, Department of Biostatistics and Epidemiology, Johnson City, TN
| | - Patrick Sodeke
- East Tennessee State University, Department of Biostatistics and Epidemiology, Johnson City, TN
| | - Odebunmi Olufeyisayo
- East Tennessee State University, Department of Health Service Management and Policy, Johnson City, TN
| | - Moboni Mokikan
- East Tennessee State University, Department of Biostatistics and Epidemiology, Johnson City, TN
| | - Emmanuel Adeyemi
- East Tennessee State University, Department of Biostatistics and Epidemiology, Johnson City, TN
| | - Grace Babalola
- State University of New York, Department of Systems Science and Industrial Engineering, Binghamton, NY
| | | | - Marvin Okon
- Clemson University, Department of Public Health Sciences, Clemson, SC
| | - Thomas I Nathaniel
- University of South Carolina School of Medicine Greenville, Greenville, SC.
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Wang Y, Li C, Ding M, Lin L, Li P, Wang Y, Dong Q, Yang Y, Cui M. Carotid Atherosclerotic Calcification Characteristics Relate to Post-stroke Cognitive Impairment. Front Aging Neurosci 2021; 13:682908. [PMID: 34113247 PMCID: PMC8185032 DOI: 10.3389/fnagi.2021.682908] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2021] [Accepted: 04/29/2021] [Indexed: 11/24/2022] Open
Abstract
Background: Together with cerebral small vessel disease (CSVD), large vessel atherosclerosis is considered to be an equally important risk factor in the progression of vascular cognitive impairment. This article aims to investigate whether carotid atherosclerotic calcification is associated with the increased risk of post-stroke cognitive impairment (PSCI). Methods: A total of 128 patients (mean age: 62.1 ± 12.2 years, 37 women) suffering from ischemic stroke underwent brain/neck computer tomography angiography examination. The presence and characteristic of carotid calcification (size, number and location) were analyzed on computer tomography angiography. White matter hyperintensity (WMH) was assessed using Fazekas scales. PSCI was diagnosed based on a battery of neuropsychological assessments implemented 6−12 months after stroke. Results: Among 128 patients, 26 developed post-stroke dementia and 96 had carotid calcification. Logistic regression found carotid calcification (odds ratio [OR] = 7.15, 95% confidence interval [CI]: 1.07–47.69) and carotid artery stenosis (OR = 6.42, 95% CI: 1.03–40.15) both significantly increased the risk for post-stroke dementia. Moreover, multiple, thick/mixed, and surface calcifications exhibited an increasing trend in PSCI (Ptrend = 0.004, 0.016, 0.045, respectively). The prediction model for post-stroke dementia including carotid calcification (area under curve = 0.67), WMH (area under curve = 0.67) and other covariates yielded an area under curve (AUC) of 0.90 (95% CI: 0.82–0.99). Conclusion: Our findings demonstrated that the quantity and location of carotid calcifications were independent indicators for PSCI. The significant role of large vessel atherosclerosis in PSCI should be concerned in future study.
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Affiliation(s)
- Yingzhe Wang
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China
| | - Chanchan Li
- Department of Radiology, Huashan Hospital, Fudan University, Shanghai, China
| | - Mengyuan Ding
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China
| | - Luyi Lin
- Department of Radiology, Huashan Hospital, Fudan University, Shanghai, China
| | - Peixi Li
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China
| | - Yizhe Wang
- Department of Medicine, Nanchang University, Nanchang, China
| | - Qiang Dong
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China.,The State Key Laboratory of Medical Neurobiology, Fudan University, Shanghai, China
| | - Yanmei Yang
- Department of Radiology, Huashan Hospital, Fudan University, Shanghai, China
| | - Mei Cui
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China.,The State Key Laboratory of Medical Neurobiology, Fudan University, Shanghai, China
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Raised high-sensitivity C-reactive protein and cognitive impairment among African stroke survivors within the first three months following stroke. J Clin Neurosci 2021; 88:191-196. [PMID: 33992183 DOI: 10.1016/j.jocn.2021.03.018] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2020] [Revised: 03/03/2021] [Accepted: 03/11/2021] [Indexed: 11/22/2022]
Abstract
Stroke remains a major factor causing death and disabilities such as cognitive impairment. There is conflicting evidence on the role and dynamics of high sensitivity C-reactive protein (hsCRP), an acute phase pro-inflammatory protein, in post-stroke cognitive impairment. This study evaluated cognitive impairment and examined its relationship with serum hsCRP in the first three months following stroke. Cognition was assessed using Montreal Cognitive Assessment test, while serum hsCRP concentrations were assessed using enzyme link immunosorbent assay kit. Data were processed using SPSS Statistics version 20.0. Sixty subjects, comprising of 30 stroke patients and 30 healthy subjects, matched for age, sex and level of education were studied. Cognitive impairment was observed among the stroke patients, while the healthy subjects showed normal cognitive function; and the difference in the cognitive scores of the two groups was highly significant (P = 0.001). There was higher prevalence of cognitive impairment among the stroke survivors compared to the non-stroke subjects. Serum hsCRP was significantly higher among the stroke survivors compared to the healthy subjects (P = 0.001). The high hsCRP level correlates well with duration of stroke and working memory domain of cognition. The data revealed a high prevalence of cognitive impairment and concurrent high serum hsCRP levels among stroke survivors in the first three months following stroke, in contrast with normal subjects. The high hsCRP level correlates with duration of stroke and working memory domain of cognition. The data suggest a role for serum hsCRP and inflammation in the development of post-stroke cognitive impairment.
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Zhu Y, Zhao S, Fan Z, Li Z, He F, Lin C, Topatana W, Yan Y, Liu Z, Chen Y, Zhang B. Evaluation of the Mini-Mental State Examination and the Montreal Cognitive Assessment for Predicting Post-stroke Cognitive Impairment During the Acute Phase in Chinese Minor Stroke Patients. Front Aging Neurosci 2020; 12:236. [PMID: 32848712 PMCID: PMC7424073 DOI: 10.3389/fnagi.2020.00236] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2020] [Accepted: 07/08/2020] [Indexed: 11/22/2022] Open
Abstract
Objective: To assess the value of the Mini-Mental State Examination (MMSE) and the Montreal Cognitive Assessment (MoCA) during acute phase in predicting post-stroke cognitive impairment (PSCI) at 3–6 months. Methods: We prospectively recruited 229 patients who had suffered their first-ever ischemic stroke. PSCI was determined in 104 of these patients by a comprehensive neuropsychological battery performed at 3–6 months. Receiver operating characteristic (ROC) curve analysis was then performed to compare the discriminatory ability of the MMSE and MoCA. Also, we applied a decision tree generated by the classification and regression tree methodology. Results: In total, 66 patients had PSCI when evaluated 3–6 months after the onset of minor stroke. Logistic regression analysis revealed that education, body mass index (BMI), and baseline MoCA scores were independently associated with PSCI. ROC curve analysis showed that the ability to predict PSCI was similar when compared between baseline MoCA scores [area under curve (AUC), 0.821; 95% confidence interval (CI), 0.743–0.898] and baseline MMSE scores (AUC, 0.809; 95% CI, 0.725–0.892, P = 0.75). Both MMSE and MoCA exhibited similar predictive values at their optimal cut-off points (MMSE ≤27; sensitivity, 0.682; specificity, 0.816; MoCA ≤21; sensitivity, 0.636; specificity, 0.895). Classification and regression tree-derived analysis yielded an AUC of 0.823 (sensitivity, 0.803; specificity, 0.842). Conclusion: When applied within 2 weeks of stroke, the MMSE and MoCA are both useful and have similar predictive value for PSCI 3–6 months after the onset of minor stroke.
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Affiliation(s)
- Yueli Zhu
- Department of Neurology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Shuai Zhao
- Department of Neurology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Ziqi Fan
- Department of Neurology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Zheyu Li
- Department of Neurology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Fan He
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
| | - Caixiu Lin
- Department of Neurology, Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Win Topatana
- Department of Neurology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Yaping Yan
- Department of Neurology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Zhirong Liu
- Department of Neurology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Yanxing Chen
- Department of Neurology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Baorong Zhang
- Department of Neurology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
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Song DY, Wang XW, Wang S, Ge SQ, Ding GY, Chen XY, Chen YR, Liu HM, Xie XM, Xing WJ, Li D, Zhou Y. Jidong cognitive impairment cohort study: objectives, design, and baseline screening. Neural Regen Res 2020; 15:1111-1119. [PMID: 31823892 PMCID: PMC7034269 DOI: 10.4103/1673-5374.266070] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
The risk of dementia increases in patients with cognitive impairment. However, it is not clear what factors contribute to the onset of dementia in those with cognitive impairment. In this prospective cohort study, we will investigate the every-five-year incidence of cognitive impairment and prognostic factors for cognitive impairment. The Jidong cognitive impairment cohort was established from April 2012 to August 2015, during which we recruited 5854 healthy participants (55.1% male) older than 45 years (mean, 57 years). Participants received a health examination in the Staff Hospital, Jidong Oilfield Branch, China National Petroleum Corporation. Baseline data and blood samples were collected. Cognitive impairment was evaluated using the Mini-Mental State Examination, and was defined as a Mini-Mental State Examination score of less than 24. Dementia was assessed using the criteria of Diagnostic and Statistical Manual of Mental Disorders (Fourth edition), the International Working Group criteria, and the Mini-Mental State Examination score. The follow-up will continue until December 2024, during which a prognostic model will be constructed. The primary outcome is the presence/absence of dementia and the secondary outcome is quality of life. Baseline screening results showed the following: (1) Cognitive impairment was apparent in 320 participants (5.5%). These participants will be excluded from the Jidong cohort study, and the remaining participants will be followed up. (2) Of the 320 participants with cognitive impairment, there was a significantly higher prevalence of illiteracy than other education levels (35.9%, P < 0.05). Age, arterial hypertension, alcohol consumption, and passive smoking differed significantly between the cognitive impairment and healthy groups (P < 0.05). Multivariate logistic regression models showed that age (odds ratio [OR] = 1.059, 95% confidence interval [CI]: 1.044–1.074) and arterial hypertension (OR = 1.665, 95% CI: 1.143–2.427) were risk factors for mild cognitive impairment. With the increase of educational level (illiteracy, primary school, junior high school, high school, university, and above), cognitive impairment gradually decreased (OR < 1, P < 0.05). (3) This cohort study has initially screened for several risk factors for cognitive impairment at baseline, and subsequent prospective data will further describe, validate, and evaluate the effects of these risk factors on cognitive impairment and dementia. These results can provide clinical evidence for the early prevention of cognitive impairment and dementia. The study was approved by the Ethics Committee of Kailuan General Hospital of Tangshan City and the Medical Ethics Committee, Staff Hospital, Jidong Oilfield Branch, China National Petroleum Corporation on July 12, 2013 (approval No. 2013 YILUNZI 1).
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Affiliation(s)
- Dai-Yu Song
- School of public health, Shandong First Medical University & Shandong Academy of Medical Sciences, Taian, Shandong Province, China; School of Ophthalmology and Optometry, Eye Hospital, Wenzhou Medical University, Wenzhou, Zhejiang Province, China
| | - Xian-Wei Wang
- School of Ophthalmology and Optometry, Eye Hospital, Wenzhou Medical University, Wenzhou, Zhejiang Province, China
| | - Sa Wang
- Department of Neurology, The Affiliated Wenling Hospital of Wenzhou Medical University, Wenling, Zhejiang Province, China
| | - Si-Qi Ge
- Department of Neuroepidemiology, Beijing Neurosurgical Institute; Capital Medical University, Beijing, China
| | - Guo-Yong Ding
- School of public health, Shandong First Medical University & Shandong Academy of Medical Sciences, Taian, Shandong Province, China
| | - Xue-Yu Chen
- School of public health, Shandong First Medical University & Shandong Academy of Medical Sciences, Taian, Shandong Province, China
| | - Yan-Ru Chen
- School of public health, Shandong First Medical University & Shandong Academy of Medical Sciences, Taian, Shandong Province, China
| | - Hua-Min Liu
- School of public health, Shandong First Medical University & Shandong Academy of Medical Sciences, Taian, Shandong Province, China
| | - Xiao-Mei Xie
- Staff hospital of jidong oilfield, Caofeidian district, Tangshan, Hebei Province, China
| | - Wei-Jia Xing
- School of public health, Shandong First Medical University & Shandong Academy of Medical Sciences, Taian, Shandong Province, China
| | - Dong Li
- School of public health, Shandong First Medical University & Shandong Academy of Medical Sciences, Taian, Shandong Province, China
| | - Yong Zhou
- School of Ophthalmology and Optometry, Eye Hospital, Wenzhou Medical University, Wenzhou, Zhejiang Province, China
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Pinter D, Enzinger C, Gattringer T, Eppinger S, Niederkorn K, Horner S, Fandler S, Kneihsl M, Krenn K, Bachmaier G, Fazekas F. Prevalence and short-term changes of cognitive dysfunction in young ischaemic stroke patients. Eur J Neurol 2019; 26:727-732. [PMID: 30489673 PMCID: PMC6491967 DOI: 10.1111/ene.13879] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2018] [Accepted: 11/26/2018] [Indexed: 12/23/2022]
Abstract
BACKGROUND AND PURPOSE Information on the prevalence and course of post-stroke cognitive impairment in young stroke patients is limited. The aim was to assess a consecutive sample of acute young ischaemic stroke patients (18-55 years) for the presence and development of neuropsychological deficits. METHODS Patients prospectively underwent a comprehensive clinical and cognitive assessment, examining general cognitive function, processing speed, attention, flexibility/executive function and word fluency within the first 3 weeks after hospital admission (median assessment at day 6) and at a 3 months' follow-up (FU). Cognitive dysfunction was defined in comparison to age-standardized published norms. RESULTS At baseline (N = 114), deficits were highly prevalent in processing speed (56.0%), flexibility/executive function (49.5%), attention (46.4%) and general cognitive function (42.1%). These frequencies were comparable for those with FU assessment (N = 87). In most domains, cognitive performance improved within 3 months, except for word fluency. However, in about one-third of patients, cognitive deficits (as defined by 1.5 standard deviations below the standardized mean) were still present 3 months after stroke. At FU, 44.0% were impaired in the domain flexibility/executive function, 35.0% in processing speed and 30.0% in attention. CONCLUSIONS The high prevalence of cognitive deficits in acute young patients with ischaemic stroke highlights the importance of early post-stroke cognitive assessment to capture a patient's dysfunction in a comprehensive manner and to offer adequate rehabilitation. The role of factors which promote neuropsychological deficits needs further exploration.
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Affiliation(s)
- D Pinter
- Department of Neurology, Medical University of Graz, Graz, Austria
| | - C Enzinger
- Department of Neurology, Medical University of Graz, Graz, Austria.,Division of Neuroradiology, Vascular and Interventional Neuroradiology, Medical University of Graz, Graz, Austria
| | - T Gattringer
- Department of Neurology, Medical University of Graz, Graz, Austria
| | - S Eppinger
- Department of Neurology, Medical University of Graz, Graz, Austria
| | - K Niederkorn
- Department of Neurology, Medical University of Graz, Graz, Austria
| | - S Horner
- Department of Neurology, Medical University of Graz, Graz, Austria
| | - S Fandler
- Department of Neurology, Medical University of Graz, Graz, Austria
| | - M Kneihsl
- Department of Neurology, Medical University of Graz, Graz, Austria
| | - K Krenn
- Department of Neurology, Medical University of Graz, Graz, Austria
| | - G Bachmaier
- Institute for Medical Informatics, Statistics and Documentation, Medical University of Graz, Graz, Austria
| | - F Fazekas
- Department of Neurology, Medical University of Graz, Graz, Austria
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11
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Stradecki-Cohan HM, Cohan CH, Raval AP, Dave KR, Reginensi D, Gittens RA, Youbi M, Perez-Pinzon MA. Cognitive Deficits after Cerebral Ischemia and Underlying Dysfunctional Plasticity: Potential Targets for Recovery of Cognition. J Alzheimers Dis 2018; 60:S87-S105. [PMID: 28453486 DOI: 10.3233/jad-170057] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
Cerebral ischemia affects millions of people worldwide and survivors suffer from long-term functional and cognitive deficits. While stroke and cardiac arrest are typically considered when discussing ischemic brain injuries, there is much evidence that smaller ischemic insults underlie neurodegenerative diseases, including Alzheimer's disease. The "regenerative" capacity of the brain relies on several aspects of plasticity that are crucial for normal functioning; less affected brain areas may take over function previously performed by irreversibly damaged tissue. To harness the endogenous plasticity mechanisms of the brain to provide recovery of cognitive function, we must first understand how these mechanisms are altered after damage, such as cerebral ischemia. In this review, we discuss the long-term cognitive changes that result after cerebral ischemia and how ischemia alters several plasticity processes. We conclude with a discussion of how current and prospective therapies may restore brain plasticity and allow for recovery of cognitive function, which may be applicable to several disorders that have a disruption of cognitive processing, including traumatic brain injury and Alzheimer's disease.
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Affiliation(s)
- Holly M Stradecki-Cohan
- Department of Neurology Cerebral Vascular Disease Research Laboratories, Miami, FL, USA.,Neuroscience Program, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Charles H Cohan
- Department of Neurology Cerebral Vascular Disease Research Laboratories, Miami, FL, USA
| | - Ami P Raval
- Department of Neurology Cerebral Vascular Disease Research Laboratories, Miami, FL, USA
| | - Kunjan R Dave
- Department of Neurology Cerebral Vascular Disease Research Laboratories, Miami, FL, USA.,Neuroscience Program, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Diego Reginensi
- Centro de Neurociencias, Instituto de Investigaciones Científicas y Servicios de Alta Tecnología (INDICASAT AIP), City of Knowledge, Panama, Republic of Panama
| | - Rolando A Gittens
- Centro de Neurociencias, Instituto de Investigaciones Científicas y Servicios de Alta Tecnología (INDICASAT AIP), City of Knowledge, Panama, Republic of Panama
| | - Mehdi Youbi
- Department of Neurology Cerebral Vascular Disease Research Laboratories, Miami, FL, USA
| | - Miguel A Perez-Pinzon
- Department of Neurology Cerebral Vascular Disease Research Laboratories, Miami, FL, USA.,Neuroscience Program, University of Miami Miller School of Medicine, Miami, FL, USA
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12
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Affiliation(s)
- A H V Schapira
- Clinical Neurosciences, UCL Institute of Neurology, London, UK
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13
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Chander RJ, Lam BYK, Lin X, Ng AYT, Wong APL, Mok VCT, Kandiah N. Development and validation of a risk score (CHANGE) for cognitive impairment after ischemic stroke. Sci Rep 2017; 7:12441. [PMID: 28963553 PMCID: PMC5622067 DOI: 10.1038/s41598-017-12755-z] [Citation(s) in RCA: 39] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2017] [Accepted: 09/14/2017] [Indexed: 01/12/2023] Open
Abstract
Post-stroke cognitive impairment (PSCI) warrants early detection and management. We sought to develop a risk score for screening patients at bedside for risk of delayed PSCI. Ischemic stroke survivors with PSCI and no cognitive impairments (NCI) 3-6 months post-stroke were studied to identify candidate variables predictive of PSCI. These variables were used to develop a risk score using regression models. The score, and the best identified clinical cutoff point, underwent development, stability testing, and internal and external validation in three independent cohorts from Singapore and Hong Kong. Across 1,088 subjects, the risk score, dubbed CHANGE, had areas under the receiver operating characteristics curve (AUROC) from 0.74 to 0.82 in detecting significant risk for PSCI, and had predicted values following actual prevalence. In validation data 3-6 and 12-18 months post-stroke, subjects with low, medium, and high scores had PSCI prevalence of 7-23%, 25-58%, and 67-82%. CHANGE was effective in screening ischemic stroke survivors for significant risk of developing PSCI up to 18 months post-stroke. CHANGE used readily available and reliable clinical data, and may be useful in identifying at-risk patients for PSCI.
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Affiliation(s)
- Russell J Chander
- Department of Neurology, National Neuroscience Institute, 11 Jalan Tan Tock Seng, Singapore, 308433, Singapore
| | - Bonnie Y K Lam
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, 9/F., Lui Che Woo Clinical Sciences Building, Prince of Wales Hospital, Shatin, N.T., Hong Kong
| | - Xuling Lin
- Department of Neurology, National Neuroscience Institute, 11 Jalan Tan Tock Seng, Singapore, 308433, Singapore
| | - Aloysius Y T Ng
- Department of Neurology, National Neuroscience Institute, 11 Jalan Tan Tock Seng, Singapore, 308433, Singapore
| | - Adrian P L Wong
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, 9/F., Lui Che Woo Clinical Sciences Building, Prince of Wales Hospital, Shatin, N.T., Hong Kong
| | - Vincent C T Mok
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, 9/F., Lui Che Woo Clinical Sciences Building, Prince of Wales Hospital, Shatin, N.T., Hong Kong
| | - Nagaendran Kandiah
- Department of Neurology, National Neuroscience Institute, 11 Jalan Tan Tock Seng, Singapore, 308433, Singapore.
- Duke-NUS Medical School, 8 College Road, Singapore, 169857, Singapore.
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