ObjectiveTo systematically review the prevalence of cognitive impairment in patients with sarcopenia. MethodsThe PubMed, EMbase, Web of Science, Cochrane Library, CBM, CNKI, VIP and WanFang Data databases were electronically searched to collect studies related to the objectives from inception to December 10, 2022. Two reviewers independently screened literature, extracted data and assessed the risk of bias of the included studies. Meta-analysis was then performed by using Stata 14.0 software. ResultsA total of 27 studies were included. The overall prevalence rate of cognitive impairment in sarcopenia was 36.1% (95%CI 29.4% to 42.8%). Subgroup analysis showed that the prevalence in Europe was higher than that in other areas. The prevalence of nursing home residents was highest. ConclusionCurrent evidence shows that the prevalence of cognitive impairment in patients with sarcopenia is high. Due to the limited quality and quantity of the included studies, more high quality studies are needed to verify the above conclusion.
Epilepsy is defined as a disorder of brain neural function, characterized by the persistent possibility of seizures, which are usually sudden, brief, and recurrent. Cognition is a process of receiving information from the external world and analyzing and processing it, such as memory, language, visual-spatial, executive, calculation, comprehension, and judgement. With the increasing awareness of health, more and more scholars have begun to pay attention to the relationship between cognitive dysfunction and epilepsy. Data shows that over 80% of epilepsy patients have lower cognitive abilities than healthy people, and over 50% of patients have significant cognitive problems, which have a negative impact on their quality of life even greater than the seizures themselves. Cognitive impairment in epilepsy patients not only hinders their own treatment progress, but also has a negative impact on their daily life, academic and job performance, which brings huge care and economic pressure to their families and a heavy economic burden to the whole society. This review aimed to assess cognitive modules and provide key information for early diagnosis and treatment of patients.
ObjectiveTo systematically review the association between overweight, obesity, abdominal obesity, and cognitive impairment (CI) in the elderly. MethodsThe CNKI, WanFang Data, VIP, CBM, PubMed, Web of Science, Embase, and Cochrane Library databases were electronically searched for studies on the relationship between overweight, obesity/abdominal obesity, and CI in the elderly from their inception to July 2024. Two researchers independently screened the literature, extracted data, and assessed the risk of bias of the included studies. Meta-analysis was performed using Stata 15.0 software. ResultsA total of 38 studies involving 1 783 087 subjects were included. Meta-analysis results showed that compared with normal-weight individuals, overweight (OR=0.96, 95%CI 0.91 to 1.02, P=0.201) was not statistically significant in the risk of CI in the elderly. Obesity (OR=1.14, 95%CI 1.02 to 1.28, P=0.03) and abdominal obesity (OR=1.16, 95%CI 1.11 to 1.21, P<0.001) may be risk factors for CI in the elderly. Subgroup analysis was conducted based on study type, BMI standards, cognitive diagnostic standards, national development level, abdominal obesity diagnostic standards, and follow-up time. Among the subgroups analyzing the correlation between overweight and CI in the elderly, follow-up time ≤5 years (OR=0.68, 95%CI 0.58 to 0.80) showed a lower proportion of CI compared to other follow-up periods. In the subgroups analyzing the correlation between obesity and CI in the elderly, follow-up time ≤5 years (OR=0.71, 95%CI 0.50 to 1.01) was not statistically significant compared to other follow-up periods. For abdominal obesity, a significant association with increased CI risk in the elderly was found only in the subgroup with a follow-up time of 5-10 years (OR=1.21, 95%CI 1.15 to 1.27), compared with other follow-up periods. ConclusionCurrent evidence suggests that obesity and abdominal obesity may increase the risk of CI in the elderly. Proper weight management is crucial for preventing and delaying the progression of CI in the elderly.
Objective To systematically review the effect of vitamin D (VitD) supplementation on cognitive function in people with cognitive impairment and non-cognitive disorders. MethodsThe PubMed, Web of Science, Cochrane Library, EMbase, CBM, CNKI, WanFang Data and VIP databases were searched to collect randomized controlled trials (RCTs) about the effect of VitD supplementation on cognitive function of patients with cognitive impairment or non-cognitive disorders from inception to March, 2022. Two reviewers independently screened the literature, extracted data, and assessed the risk of bias of the included studies. Meta-analysis was then performed using RevMan 5.4 software. Results A total of 19 articles including 8 684 cases were included. The results of meta-analysis showed that mini-mental state examination (MMSE) score (MD=1.70, 95%CI 1.20 to 2.21, P<0.01), Montreal cognitive assessment (MoCA) score (MD=1.51, 95%CI 1.00 to 2.02, P<0.01), Wechsler Adult Intelligence Scale-Revised (WAIS-RC) score (MD=9.12, 95%CI 7.77 to 10.47, P<0.01) and working memory (SMD=1.87, 95%CI 1.07 to 2.67, P<0.01) in the VitD group of patients with cognitive impairment were all better than those in the control group. However, the overall cognitive function and working memory of the non-cognitive impairment population were not significantly different compared with the control group. In terms of language fluency and language memory, there was no significant difference between the VitD group and the control group. In terms of the executive functions, at the intervention time of> 6 months, the VitD and control groups were statistically significant (SMD=0.15, 95%CI 0.01 to 0.28, P=0.03). Conclusion Current evidence suggests that VitD supplementation can effectively improve the overall cognitive function and working memory of patients with cognitive impairment, and has a positive effect on executive function at an intervention time of >6 months. Due to the limited quality and quantity of the included studies, more high-quality studies are needed to verify the above conclusion.
Objectives This study aims to examine the possible association between C-reactive protein (CRP) concentration and cognitive impairment in patients with post-stroke epilepsy. Methods Patients with post-stroke epilepsy admitted to Western China Hospital from January 2010 to June 2016 were consecutively enrolled in our study. CRP levels were assessed within one week of stroke onset, and then correlated with cognitive status assessed two years after stroke using the Six-Item Screener. Results Among the 96 patients with post-stroke epilepsy who included in our study, 24 patients were found to have cognitive impairment during the two years follow-up period. Our data showed a significant association between CRP levels and cognitive performance in these patients (31.5±36.2 vs. 11.9±19.4, P=0.029). In addition, this association persisted even after adjusting for potential confounders［OR=1.021, 95%CI (0.997, 1.206), P=0.037］. Conclusions Following ischemic stroke, higher CRP levels is associated with subsequent cognitive decline in patients with epilepsy. Association and prospective studies in larger sample size are needed in order to validate our findings, especially studies in which baseline CRP level and CRP level during follow-up are closely monitored.
ObjectiveTo analyze of the extent of neuropsychological damage in post-traumatic epilepsy patients. MethodsOne hundred and thirty-five patients treated at the Department of Neurosurgery, the 904th Hospital of PLA from January 2016 to December 2018 were analyzed retrospectively, including 94 males and 41 females, with an average age of (32.94 ± 9.51) years. They were divided into 3 groups: 40 patients with post-traumatic epilepsy (epilepsy group): 53 trauma patients without post-traumatic epilepsy (trauma group) and 42 patients with health examination (control group). Neuropsychological assessment using the following scales: Mini-mental State Examination (MMSE): Montreal Cognitive Assessment-Basic (MoCA-B): Audio Verbal Memory Test (AVMT): Rey-Osterrieth Complex Figure Test (CFT): Trail Making Test (TMT): Hamilton Depression Scale (HAMD): Activity of Daily Living (ADL). ResultsThe results of one-way ANOVA showed that there was significant difference between all scales of epilepsy group, trauma group and control group (P<0.01). MMSE and MoCA-B scores: Compared with trauma group, epilepsy group decreased significantly, but there was no significant difference between groups (P>0.05); Memory and spatial structure ability: AVMT short/long delayed memory, CFT recall and copy test results showed that epilepsy group decreased more significantly than trauma group, and there was statistical significance between groups (P<0.05); Executive ability: TMT-A and TMT-B showed that epilepsy group spent longer time than trauma group, and there was significant difference between groups (P<0.01); Depressive symptoms: HAMD scale showed significant difference between epilepsy group and trauma group (P<0.01): while there was no statistical difference between trauma group and control group (P>0.05); Activity of daily living: ADL scale results showed that there was no significant difference between epilepsy group and trauma group (P>0.05). ConclusionPost-traumatic epilepsy can aggravate the cognitive impairment of patients, mainly in the decline of memory, spatial structure and executive ability, and prone to depressive symptoms. At the same time of treating epilepsy seizures, patients with post-traumatic epilepsy should be screened and assessed early in neuropsychology to improve their quality of life and return to society as soon as possible.
Post-stroke cognitive impairment (PSCI) which has been a barrier to the rehabilitation, could be prevented and treated. Early assessment of cognitive impairment, as well as diagnosis and comprehensive interventions of PSCI would improve rehabilitation of stroke patients. The rehabilitation, as an important component of the comprehensive intervention, could improve cognitive function, delay disease progression, and optimize the daily life. The widely-used rehabilitation methods include cognitive intervention, exercise training, music therapy, and neuromodulation techniques, etc. Comprehensive cognitive training covering multiple cognitive domains and multimodal intervention can significantly improve the overall cognitive function of patients. The research in the PSCI field is still in its infancy in China. Thus, It is necessary to pay more attention to the PSCI clinically, and unveil the unkown area in PSCI.
Based on literatures on Meta-analysis and randomized controlled trial, drug use and some geriatrics syndromes such as cognitive impairment and depression, in elderly diabetic patients were reviewed. Insulin plus oral hypoglycemic drugs was more rational therapy for insulin resistance and islet dysfunction in type 2 diabetes mellitus. We should pay more attention to cognitive impairment and depression in elderly type 2 diabetic patients.
ObjectiveTo systematically review the accuracy of the mini-mental state examination scale (MMSE) in the screening of poststroke cognitive impairment (PSCI), and the diagnostic value of different cut-off values of the scale, so as to provide references for the selection of the threshold of the MMSE scale. MethodsDatabases including PubMed, EMbase, Cochrane Library, Web of Science, CINAHL, CBM, VIP, CNKI, and WanFang data were searched for diagnostic tests about MMSE for PSCI from inception to November 2022. Two researchers independently screened the literatures, extracted data and assessed the risk of bias of the included studies. Then, meta-analysis was performed by Stata 16.0 software. ResultsA total of 23 studies involving 1 525 patients were included. The results of meta-analysis showed that after the analysis of bivariate mixed effect model, the optimal cutoff value of MMSE scale was 23/24 (the pooled sensitivity=0.75, 95%CI 0.52 to 0.89; the pooled Specificity=0.90, 95%CI 0.81 to 0.95; DOR=28, 95%CI 12 to 65; AUC=0.92, 95%CI 0.89 to 0.94). The results of hierarchical summary receiver-operating characteristic (HSROC) curve model showed that the pooled sensitivity=0.77, 95%CI 0.70 to 0.83; the pooled specificity=0.76, 95%CI 0.69 to 0.83, Beta=0.1, 95%CI −0.13 to 0.33, Z=0.82, P=0.41, Lambda=2.38, 95%CI 2.12 to 2.64, and the area under the SROC curve was 0.84. Fagan pre-test probability was 38%, positive likelihood ratio was 3.3, positive post-test probability was 67%, negative likelihood ratio was 0.3,negative post-test probability was 16%. ConclusionThe current evidence shows that MMSE has a certain diagnostic value as a screening tool for PSCI, the overall diagnostic efficacy is moderate, and the diagnostic value is highest when the cut-off value is 23/24. Due to the limited quality and quantity of the included studies, more high quality studies are required to verify the above conclusion.
ObjectivesTo systematically review the current status of cognitive impairment of the elderly in China.MethodsCNKI, VIP, CBM, WanFang Data, PubMed, EMbase and The Cochrane Library databases were electronically searched to collect studies on the current status of cognitive impairment of the elderly in China from January 1st, 2000 to March 12th, 2020. Two reviewers independently screened literature, extracted data and assessed risk of bias of included studies. Then, meta-analysis was performed by using Stata 14.1 software.ResultsA total of 126 studies involving 187 115 elderly were included. The results of meta-analysis showed that the cognitive impairment rate of the elderly in China was 22.0% (95%CI 20.4% to 23.6%). Subgroup analysis showed that the cognitive impairment rate was higher in females, seniors, low education level, residing in rural area, engaging in manual labor, no spouse, living alone, monthly income less than 1 000 yuan, and suffering from chronic diseases.ConclusionsCurrent evidence shows that the cognitive impairment rate of the elderly in China is 22%, which is relatively high in females, seniors, low education level, residing in rural area, engaging in manual labor, no spouse, living alone, low-income, and suffering from chronic diseases.