Objective To observe the relationship of serum levels of homocysteine (HCY) and chemokine C-C motifligand 2 (CCL2) with cognitive impairment in COPD patients with different degrees of emphysema. Methods Sixty-twoCOPD patients identified according to emphysema phenotype classification and admitted from January 2016 to March 2017 were recruited in the study. There were 37 cases in emphysema 1-2 grade and 25 cases in emphysema 3-4 grade. Simultaneous 30 healthy subjects undergoing physical examination were recruited as control. Montreal cognitive assessment (MoCA) scale investigation and serum HCY and CCL2 test were completed. Relationship analysis was conducted on serum HCY, CCL2 levels with cognitive impairment in the COPD patients with different degrees of emphysema. Results Compared with the 1-2 grade subgroup, the PaO2 was lower, PaCO2 was higher, the plasma HCY and CCL2 levels increased in the 3-4 grade subgroup with significant differences (all P<0.05). MoCA total score and subscores were relatively low in the COPD group with emphysema than the control group (except visuospatial ability scores in the 1-2 grade subgroup). MoCA scores were statistically lower in the 3-4 grade subgroup than those in the 1-2 grade subgroup (allP<0.05). Correlation analysis showed that HCY and CLL2 levels were negatively correlated with MoCA scores and subscores (P<0.01), and HCY and CLL2 were positively correlated (bothP<0.01). The area under the receiver operating characteristic curve of HCY and CLL2 for evaluating cognitive impairment was 0.79 and 0.97, respectively. Conclusion In patients with different degrees of emphysema phenotype, serum HCY and CCL2 levels are increased in different degree, and the degree of emphysema is closely related with cognitive dysfunction.
ObjectiveTo analyze the related factors of cognitive impairment in patients with post-traumatic epilepsy. MethodsFrom January 2016 to January 2019, 45 patients with post-traumatic epilepsy (epilepsy group) and 48 patients with physical examination (control group) at the Department of Neurosurgery, the 904th Hospital of PLA were analyzed retrospectively. Cognitive assessment were evaluated by the following scales: Montreal cognitive assessment (MoCA), Mini-mental state examination (MMSE), Audio verbal memory test (AVMT), Rey-osterrieth complex figure test (CFT) and Trail making test (TMT). Then we analyzed the influences of gender, age, course of disease, cause, type, degree and location of injury, seizure frequency and Anti-seizure medications (ASMs) on cognitive impairment. ResultsThe results showed that there were significant differences between the epilepsy group and the control group in all scales (P<0.01). Analysis of influencing factors in epilepsy group showed: MoCA and MMSE scores: there were statistical significance in the comparison of seizure frequency and injury degree (P<0.05); AVMT, CFT and TMT scores: there were statistical significance in the comparison of seizure frequency, injury degree and location, ASMs within the group (P<0.05). ConclusionPost-traumatic epilepsy can cause cognitive impairment. The more frequent epileptic seizures and the more severe the degree of trauma, the more serious the cognitive impairment. Different injury sites affect the scope of cognitive impairment, temporal lobe injury is easy to cause memory function decline, frontal lobe injury is easy to cause spatial structure and executive ability decline, at the same time, the combined use of ASMs has an impact on cognitive function.
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.
ObjectiveTo observe the effect of rosiglitazone on cognitive function, serum high sensitive C reactive protein (hs-CRP) and expression of nuclear factor-κB (NF-κB), interleukin-6 (IL-6), tumor necrosis factor-α (TNF-α) in hippocampal tissues of senile diabetic rats. MethodsThirty aged Wistar rats (20-22 months) were randomly divided into normal control group (n=6), diabetic model group (n=12), and rosiglitazone treatment group (n=12). Streptozotocin-induced diabetic rat model was established. In the rosiglitazone treatment group, the rats were treated with rosiglitazone 4mg/kg/d for 8 weeks. The cognitive function of rats was evaluated with the Morris water maze test. Serum hs-CRP was detected by ELISA. The expression of NF-κB in hippocampal tissues was detected by western blot and IL-6 and TNF-α by Real-time PCR. ResultsThe Morris water maze test showed that escape latency was longer in the rosiglitazone treatment group and the diabetic model group than that in the control group (P<0. 05). Compared with the diabetic model group, the rosiglitazone treatment group showed a significant decrease in the average time of escape latencies (P<0.05), and an increased percentage of time spent in the central area and the more times navigating the original platform position (P<0.05). Serum hs-CRP and the expression of NF-κB, IL-6 and TNF-α in the rosiglitazone treatment group and the diabetic model group was significantly higher than those in the control group (P<0.01). Compared with the diabetic model group, serum hs-CRP and the expression of NF-κB, IL-6 and TNF-α in the rosiglitazone treatment group was decreased (P<0.05). ConclusionCognitive impairment in senile diabetic rats is associated with serum hs-CRP. The cognitive function can be improved with rosiglitazone treatment. The protective mechanisms may be related to the decrease of serum hs-CRP, inhibition of NF-κB signal and down-regulation of the expression of IL-6 and TNF-α in hippocampal tissues.
White matter lesion (WML) of presumed vascular origin is one of the common imaging manifestations of cerebral small vessel diseases, which is the main reason of cognitive impairment and even vascular dementia in the elderly. However, there is a lack of early and effective diagnostic methods currently. In recent years, studies of diffusion tensor imaging (DTI) and resting-state functional magnetic resonance imaging (rs-fMRI) have shown that cognitive impairment in patients with WMLs is associated with disrupted white matter microstructural and brain network connectivity. Therefore, it’s speculated that DTI and rs-fMRI can be effective in early imaging diagnosis of WMLs-related cognitive impairment. This article reviews the role and significance of DTI and rs-fMRI in WMLs-related cognitive impairment.
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.
ObjectiveTo explore the quality of life (QOL) of rural cognitive function impaired elderly in Guangyuan city and analysis the influencing factors, in order to provide evidence for improving the QOL of rural cognitive function impaired elderly. MethodsBy stratified cluster sampling method, Mini-Mental State Examination (MMSE) was adopted in the cognitive function impaired screening in Guangyuan rural area of Sichuan province in 2012, then we used SF-12 questionnaire to evaluate the QOL of those rural elderly (more than 60 years old) whose cognitive function was impaired. ResultsA total of 270 rural cognitive function impaired elderly were selected from 735 old people. The results of QOL assessment showed that:the mean of physical component summary (PCS) was 37.93±11.55, and the mean of mental component summary (MCS) was 44.07±13.14. Gender, age, education levels, economic situation of the selfassessment, chronic disease, being engaging in physical labour and daily life care were correlated with the score of QOL. ConclusionIn order to improve their QOL, we should help the elderly with cognitive function impaired and focus on prevention and individual treatment; their special difficulties should be fully considered when making the policy of health care and social security.
ObjectiveTo systematically review the research status of risk prediction models for cognitive impairment in patients with T2DM. MethodsThe CNKI, WanFang Data, VIP, CBM, PubMed, Embase, Web of Science, Cochrane Library databases and clinical trial registration platform were electronically searched to collect relevant literature on risk prediction models for cognitive impairment in patients with T2DM from inception to February 13th, 2025. Two researchers independently screened the literature, extracted data, and assessed the risk of bias of the included studies, and then qualitative description and meta-analysis was performed. ResultsA total of 20 studies were included, involving 25 risk prediction models. In terms of the risk of bias, 20 studies were considered as high risk. With regards to applicability, 20 studies were high applicability. The pooled area under the curve (AUC) for modeling set was 0.83 (95%CI 0.79 to 0.88) and for the validation set was 0.83 (95%CI 0.79 to 0.87). It suggested that the model had good discrimination ability. The most common predictors included age, education level, duration of diabetes and depression. ConclusionThe overall performance of the risk prediction model for cognitive impairment in patients with T2DM is good, but the quality of the model needs to be improved.
ObjectiveTo systematically review the detection rate of cognitive impairment in Chinese patients with type 2 diabetes mellitus (T2DM).MethodsPubMed, EMbase, The Cochrane Library, CBM, CNKI, WanFang Data and VIP databases were searched to collect studies on the detection rate of cognitive impairment in Chinese patients with T2DM from inception to January 20th, 2021. Two reviewers independently screened literature, extracted data and evaluated the risk of bias of included studies. Meta-analysis was then performed using Stata 12.0 software.ResultsA total of 27 studies involving 7 920 cases were included. Meta-analysis results showed that the total detection rate of cognitive impairment in Chinese patients with T2DM was 43.2% (95%CI 36.9% to 49.6%). The results of subgroup analysis showed that in T2DM patients, the detection rate of cognitive impairment in males was 42.4% (95%CI 34.4% to 50.4%), and that in females was 48.2% (95%CI 40.9% to 55.6%). The detection rate of cognitive impairment was 25.4% (95%CI 14.7% to 36.0%) in patients under the age of 60 years, and 47.0% (95%CI 30.0% to 64.0%) in patients aged 60 years or above. The detection rate of cognitive impairment among those with primary school education level or below was 67.1% (95%CI 48.9% to 85.3%). The detection rate of cognitive impairment was 37.1% (95%CI 27.3% to 46.8%) among those with education level of junior high school or above. The detection rate of cognitive impairment in patients with disease duration less than 10 years was 28.4% (95%CI 16.0% to 40.9%) and that in patients with disease duration more than 10 years was 50.6% (95%CI 33.2% to 68.0%). The detection rate of cognitive impairment in married individuals was 45.6% (95%CI 35.8% to 55.4%) and that in singles was 68.1% (95%CI 57.5% to 78.7%). The detection rate of cognitive impairment in smokers was 38.9% (95%CI 30.7% to 47.2%) and in non-smokers was 40.9% (95%CI 32.1% to 49.6%). The detection rate of cognitive impairment in drinkers was 35.6% (95%CI 27.3% to 44.0%) and that in non-drinkers was 41.8% (95%CI 32.2% to 51.4%).ConclusionsThe detection rate of cognitive impairment in Chinese patients with T2DM is high. Due to the quantity and quality of included studies, more high-quality studies are needed to verify the above conclusions.
This paper, focusing on vascular cognitive impairment, summarizes the current situation of cognitive impairment rehabilitation at home and abroad, and makes a comprehensive and systematic introduction and review on the concept, assessment, and treatment of cognitive impairment, and so on. This paper raises people’s awareness of cognitive impairment and guides people to make appropriate choices about assessment and treatment methods according to different conditions, in order to improve the diagnosis rate of cognitive impairment, and to comprehensively adopt various rehabilitation treatment methods to improve cognitive rehabilitation efficacy. At the same time, it points out the weak points and future development trend of cognitive impairment rehabilitation in order to help the future work.