ObjectiveTo explore the association between prediabetes and early vascular cognitive impairment (VCI) in patients with acute cerebral infarction. MethodsNon-diabetes mellitus patients with first-ever acute cerebral infarction hospitalized in the Department of Neurology, the First Affiliated Hospital of Henan University of Science and Technology between January and April 2019 were retrospectively enrolled. The enrolled patients were divided into prediabetes group and normal blood glucose group according to the level of glycosylated hemoglobin, and the patients were divided into normal cognitive function group and cognitive impairment group according to the Montreal Cognitive Assessment score. The general information and clinical related data of the included patients were compared. Results A total of 129 patients were enrolled. Among them, 46 cases were in the prediabetes group and 83 cases were in the normal blood glucose group. There were 82 cases in the normal cognitive function group and 47 cases in the cognitive impairment group. Multivariate logistic regression analysis showed that compared with the normal blood glucose group, the prediabetes group was associated with early VCI in patients with acute cerebral infarction [odds ratio (OR)=4.172, 95% confidence interval (CI) (1.786, 9.754), P=0.001]; the higher the NationalInstitutes of Health Stroke Scale score at the first admission was, the higher the risk of early VCI was [OR=1.379, 95%CI (1.183, 1.650), P<0.001]. Conclusion In patients with first-ever acute cerebral infarction, prediabetes is associated with early VCI.
ObjectivesTo systematically review the epidemiological characteristics of mild cognitive impairment (MCI) in Chinese elderly population.MethodsPubMed, EMbase, The Cochrane Library, CNKI, VIP, WanFang Data and CBM databases were electronically searched to collect studies on the epidemiological characteristics of mild cognitive impairment in the elderly in China from inception to May 2019. Two reviewers independently screened literature, extracted data and assessed risk of bias of included studies. Then, meta-analysis was performed by using Stata 12.0 software.ResultsA total of 25 studies involving 56 720 patients were included. The results of meta-analysis showed that the prevalence of MCI in Chinese elderly population was 14% (95%CI 12% to 17%), in which 12.1% (95%CI 9.7% to 14.5%) was male and 14.8% (95%CI 12.5% to 17.2%) was female. The prevalence of MCI was 8% (95%CI 6.0% to 10.1%) in the elderly aged 60 to 69, 13.1% (95%CI 10.6% to 15.6%) in the elderly aged 70 to 79 and 23.4% (95%CI 18.3% to 28.6%) in the elderly aged above 80. The prevalence of MCI was 23% (95%CI 18.3% to 27.6%) in the elderly who were illiterate, 15.2% (95%CI 11.2% to 19.2%) among the elderly with a primary education and 9.8% (95%CI 7.1% to 12.6%) among the elderly with an education above junior high school. The prevalence of MCI was 9.9% (95%CI 5.5% to 14.2%) in urban areas, and 16.7% (95%CI 11.2% to 22.2%) in rural areas. The prevalence of MCI was 12.1% (95%CI 7.7% to 16.5%) in married individuals and 17.1% (95%CI 13.9% to 20.2%) in single individuals. The prevalence of MCI was 15.4% (95%CI 11.4% to 19.4%) in northern China, 14.1% (95%CI 11.1% to 17.2%) in eastern China, 5.4% (95%CI 3.9% to 6.9%) in northeast China, 13% (95%CI 6.2% to 19.8%) in Central-south China, 11.7% (95%CI 10.2% to 13.2%) in the southwest China and 17.4% (95%CI 2.5% to 32.3%) in northwest China. By using the diagnostic criteria proposed by Petersen, the prevalence of MCI was 15.2% (95%CI 11.8% to 18.7%), and was 12.4% (95%CI 9.4% to 15.4%) using the criteria of the DSM-Ⅳ.ConclusionsThe prevalence of MCI is high in China, and varies with gender, age, education, location, marital status, region and diagnostic criteria.
With the wide application of deep learning technology in disease diagnosis, especially the outstanding performance of convolutional neural network (CNN) in computer vision and image processing, more and more studies have proposed to use this algorithm to achieve the classification of Alzheimer’s disease (AD), mild cognitive impairment (MCI) and normal cognition (CN). This article systematically reviews the application progress of several classic convolutional neural network models in brain image analysis and diagnosis at different stages of Alzheimer’s disease, and discusses the existing problems and gives the possible development directions in order to provide some references.
Objective To systematically review the efficacy of six cognitive interventions on cognitive function of patients with mild cognitive impairment after stroke. Methods The PubMed, EMbase, Cochrane Library, SinoMed, WanFang Data and CNKI databases were electronically searched to collect randomized controlled trials on the effects of non-drug interventions on the cognitive function of patients with mild cognitive impairment after stroke from inception to March 2023. Two reviewers independently screened the literature, extracted data, and assessed the risk of bias of the included studies. Network meta-analysis was then performed using Openbugs 3.2.3 and Stata 16.0 software. Results A total of 72 studies involving 4 962 patients were included. The results of network meta-analysis showed that the following five cognitive interventions improved the cognitive function of stroke patients with mild cognitive impairment: cognitive control intervention (SMD=?1.28, 95%CI ?1.686 to ?0.90, P<0.05) had the most significant effect on the improvement of cognitive function, followed by computer cognitive training (SMD=?1.02, 95%CI ?1.51 to ?0.53, P<0.05), virtual reality cognitive training (SMD=?1.20, 95%CI ?1.78 to ?0.62, P<0.05), non-invasive neural regulation (SMD=?1.09, 95%CI ?1.58 to ?0.60, P<0.05), and cognitive stimulation (SMD=?0.94, 95%CI ?1.82 to ?0.07, P<0.05). Conclusion Five cognitive interventions are effective in improving cognitive function for stroke patients with mild cognitive impairment, among which cognitive control intervention is the most effective. Due to the limited quantity and quality of the included studies, more high-quality studies are needed to verify the above conclusion.
Objective To systematically review the influencing factors of mild cognitive impairment in type 2 diabetic patients. MethodsPubMed, Web of Science, EMbase, The Cochrane Library, CNKI, WanFang Data, VIP, and CBM databases were electronically searched to collect studies on the influencing factors of mild cognitive impairment in patients with type 2 diabetes from inception to December 31, 2021. Two reviewers independently screened the literature, extracted data, and assessed the risk of bias of included studies; then, meta-analysis was performed by using RevMan 5.4 software and Stata 12.0 software. ResultsA total of 32 studies involving 7 519 subjects were included. The results of the meta-analysis showed that the main influencing factors of mild cognitive impairment in type 2 diabetic patients were age, duration of type 2 diabetes, educational level, cerebral infarction, hypertension, smoking, insulin resistance index, glycosylated hemoglobin, and homocysteine. ConclusionCurrent evidence shows that some factors such as age, duration, and educational level are the main influencing factors of mild cognitive impairment in type 2 diabetic patients. Due to the limited quality and quantity of the included studies, more high quality studies are needed to verify the above conclusions.
Cerebral small vessel disease refers to a series of clinical, imaging, and pathological syndromes caused by various factors affecting small blood vessels in the brain. Cognitive impairment is one of the most common complications of cerebral small vessel disease. Current researches have found that cognitive impairment is related to various factors such as hypoxia. Hyperbaric oxygen therapy can achieve certain therapeutic effects by improving hypoxia. This article reviews the pathogenesis of cerebral small vessel disease, biomarkers of cerebral small vessel disease, research progress on hyperbaric oxygen therapy for cognitive impairment, and focuses on the research progress of hyperbaric oxygen therapy for mild cognitive impairment and dementia, providing more references for clinical treatment.
Objective To conduct a meta-analysis of the evidence on the efficacy and safety of hyperbaric oxygen therapy for vascular cognitive impairment. Methods China National Knowledge Infrastructure, Chongqing VIP, Wanfang, SinoMed, PubMed, Embase, CINHAL, Cochrance Library were searched for all literatures on randomized controlled trials of hyperbaric oxygen therapy for vascular cognitive impairment from the establishment of databases to May 2022. Literature screening was performed by Endnote X9 software, and meta-analysis was performed by RevMan 5.4.1 software. Results A total of 36 papers were included, with 3093 patients, including 1549 cases in the observation group (hyperbaric oxygen combined with drug treatment) and 1544 cases in the control group (drug treatment alone). Compared with the control group, the effective rate of the observation group [relative risk=1.23, 95% confidence interval (CI) (1.15, 1.30), P<0.00001], the scores of Mini Mental Status Examination [mean difference (MD)=3.19, 95%CI (2.66, 3.73), P<0.00001], and the scores of Montreal Cognitive Assessment [MD=2.98, 95%CI (2.07, 3.89), P<0.00001] were better than those of the control group. There was no significant difference in adverse reactions between the observation group and the control group (P>0.05). For the scores of Activities of Daily Living, subgroup analysis showed high heterogeneity among studies, so pooled analysis was not performed. Conclusion Compared with drug therapy alone, hyperbaric oxygen combined with drug therapy can improve the cognitive function of patients with vascular cognitive impairment to a certain extent without increasing adverse reactions.
ObjectiveTo systematically review the efficacy of repetitive transcranial magnetic stimulation (rTMS) on patients with mild cognitive impairment (MCI).
MethodsWe searched databases including PubMed, The Cochrane Library (Issue 10, 2015), EMbase, PsycINF, EBSCO, CBM, CNKI, WanFang Data and VIP from inception to October 2015 to collect randomized controlled trials (RCTs) about rTMS for patients with MCI. Two reviewers independently screened literature, extracted data and assessed the risk of bias of included studies. Then, meta-analysis was performed by using RevMan 5.3 software.
ResultsA total of 5 RCTs involving 180 MCI patients were included. The results of meta-analysis showed that, compared with the control group, rTMS treatment could significantly improve the overall cognitive abilities of MCI patients (SMD=2.53, 95% CI 0.91 to 4.16, P=0.002), as well as the single-domain cognitive performances, including tests for episodic memory (MD=0.98, 95% CI 0.24 to 1.72, P=0.01) and verbal fluency (MD=2.08, 95% CI 0.46 to 3.69, P=0.01). rTMS was a well-tolerated therapy, with slightly more adverse events observed than the control group (RD=0.09, 95% CI 0.00 to 0.18, P=0.04), but cases were mainly transient headache, dizziness and scalp pain.
ConclusionrTMS may benefit the cognitive abilities of MCI patients. Nevertheless, due to the limited quantity and quality of included studies, large-scale, multicenter, and high quality RCTs are required to verify the conclusion.
Objective To analyze the efficacy of music therapy on the rehabilitation of post-stroke cognitive impairment (PSCI) and to provide a reference for rehabilitation intervention methods for PSCI. Methods Patients hospitalized in Beijing Bo’Ai Hospital, China Rehabilitation Research Center and diagnosed with PSCI between December 2020 and July 2022 were prospectively selected. According to the random number table method, patients were divided into a music therapy group and a control group. Both groups were given conventional neurology medication, nursing care, and conventional rehabilitation. The music therapy group received additional music therapy training, and both groups received treatment for one month. The Montreal Cognitive Assessment (MoCA), National Institute of Health Stroke Scale (NIHSS), Fugl-Meyer Assessment Scale (FMA), and modified Barthel Index (MBI) were used before and after treatment to assess patients’ cognitive function, degree of neurological deficits, motor function and activities of daily live. Results A total of 48 patients were included, with 24 patients in both groups. There was no statistically significant difference in gender, age, education level, stroke type, lesion location, comorbidities, history of myocardial infarction or peripheral vascular disease, and smoking status between the two groups of patients (P>0.05). Before and after treatment, most patients in the two groups did not score in terms of language and delayed recall scores, and the difference were not statistically significant (P>0.05). There was no statistically significant difference in MoCA scores, visual space and executive function, naming, attention, calculation, abstract thinking, and orientation scores between the two groups of patients before treatment (P>0.05). After treatment, the MoCA score, visual space and executive function, naming, attention, calculation, abstract thinking, and orientation scores of the music therapy group improved compared to before treatment (P<0.05), while the MoCA score, visual space and executive function, naming, attention, and orientation scores of the control group improved compared to before treatment (P<0.05). After treatment, the improvement in MoCA scores [5.0 (3.0, 6.0) vs. 2.5 (1.0, 4.0)], attention [1.0 (0.0, 1.0) vs. 0.0 (0.0, 1.0)], and abstract thinking scores [0.0 (0.0, 1.0) vs. 0.0 (0.0, 0.0)] in the music therapy group were better than that in the control group (P<0.05). There was no statistically significant difference in NIHSS, FMA, and MBI scores between the two groups of patients before treatment (P>0.05), and both groups improved after treatment compared to before treatment (P<0.05). After treatment, there was no statistically significant difference in the improvement of NIHSS, FMA, and MBI scores between the two groups of patients (P>0.05). Conclusions Compared with conventional rehabilitation therapy, training combined with music therapy is more beneficial for improving cognitive function in PSCI patients, especially in the cognitive domains of attention and abstract thinking. However, significant advantages have not been found in improving the degree of neurological impairment, limb motor function, and daily living activities.
Objective To investigate the prevalence of cognitive impairment and identify its influencing factors among lung cancer patients undergoing chemotherapy, providing a scientific basis for targeted interventions. Methods A convenience sample of lung cancer patients receiving chemotherapy at West China Hospital, Sichuan University between April and October 2024 was enrolled. Data were collected using a general information questionnaire, the Mini-Mental State Examination, Nutritional Risk Screening 2002, Hospital Anxiety and Depression Scale, Barthel index, and FRAIL scale. Univariate analyses and multivariate logistic regression were performed to determine factors associated with cognitive impairment. Results A total of 380 patients undergoing chemotherapy for lung cancer were enrolled, and 205 (53.9%) of them had cognitive impairment. Univariate analyses revealed that there were statistically significant differences between the cognitively normal group and the cognitive impairment group in age, educational level, work status, nutritional status, Barthel index, and FRAIL scale score (P<0.05). Multivariate logistic regression showed that advanced age [odds ratio (OR)=1.045, 95% confidence interval (CI) (1.015, 1.075), P=0.002] and FRAIL scale score [OR=1.369, 95%CI (1.165, 1.609), P<0.001] were identified as independent risk factors for cognitive impairment, whereas higher educational attainment served as a protective factor, compared with patients with primary school education or below, patients with junior high school, high school/secondary vocational school, college, or undergraduate education and above had a lower risk of cognitive impairment [OR=0.437, 0.258, 0.243, 0.120, P<0.05]. Conclusions Cognitive impairment is highly prevalent among lung cancer patients undergoing chemotherapy and is significantly influenced by age, educational level, and frailty. Healthcare providers should develop targeted interventions based on these factors to reduce the prevalence of cognitive impairment.
