【摘要】 目的 探讨轻度认知功能障碍的心理学特点及其危险因素。 方法 由神经专科医生采集2009年9-12月在神经内科门诊就诊患者106例的临床资料，进行简易智能量表（MMSE）、听觉词语测验（AVLT）、画钟测验（CDT）、日常生活功能量表（ADL）、Hamilton 抑郁量表（HDRS）及临床痴呆评定量表（CDR）等神经心理测试。根据检查结果分为MCI组与对照组。 结果 MCI组受教育年限低于对照组（Plt;0.05），高血压病、糖尿病、脑卒中史高于对照组（Plt;0.05）。Logistic多因素回归分析显示受教育年限和高血压病史与MCI密切相关。MCI组MMSE总分、CDT得分、AVLT即刻记忆、延迟记忆及长时延迟再认显著低于对照组，ADL评分及HDRS评分高于对照组（Plt;0.05）。 结论 高血压病是MCI的危险因素，较高的受教育年限是MCI的保护因素。MCI患者在多个神经心理学领域受损。【Abstract】 Objective To investigate the neuropsychological characteristics of mild cognitive impairment (MCI) and its risk factors. Methods The clinical data of 106 patients in our neurologic department from september to December 2009, were collected by neurologists,and tested them by Chinese version of the mini-mental state examination (MMSE) , auditory verbal learning test (AVLT) , clock drawing test (CDT)、activities of daily living (ADL)、Hamilton depression rating scale (HDRS) and clinical dementia rating scale (CDR). All subjects were divided into MCI patients group and the control group. Results Educational level was significantly lower and hypertension, diabetes mellitus and stroke history were significantly more in patients with MCI than the control. The factors associated with MCI in logistic regression analysis were lower educational level and hypertension. The scores of MMSE、CDT and AVLT of MCI were significantly lower than those of the control, and the scores of ADL and HDRS were significantly higher than those of the control (Plt;0.05). Conclusion Hypertension is the risk factor and high educational level is the protective factor for MCI. MCI patients are impaired in multiple neuropsychological domains.
ObjectiveTo assess the efficacy and safety of Tiao-She nursing of traditional Chinese medicine (TCM) for mild cognitive disorder (MCD), and to provide theoretical basis for developing evidence-based guideline of Tiao-She nursing of TCM. MethodsWe searched PubMed, Web of Science, The Cochrane Library, EMbase, MEDLINE, Springerlink, CBM, CNKI, VIP and WanFang Data for systematic reviews/meta-analyses (SRs/MAs), as well as randomized controlled trials (RCTs), up to December 2014. Two reviewers screened literature according to the inclusion and exclusion criteria and extracted data. Methodological quality and evidence quality of included SRs/MAs were assessed using AMSTAR scale and GRADE tool, respectively. Methodological quality of included RCTs was assessed using risk of bias assessment tool of the Cochrane Handbook 5.1.0. ResultsNine RCTs were identified, but no SRs/MAs was retrieved. Interventions for MCD included acupoint massage, moxibustion, auricular-plaster therapy, qigong, Tai chi, calligraphy, and food therapy of ginseng. All included RCTs showed that Tiao-She nursing of TCM was effective on cognitive ability and psychosocial function. ConclusionTiao-She nursing of TCM might be effective and safe, and the methods are variable. Due to the limitation of the quality of included RCTs, the efficacy and safety of Tiao-She nursing of TCM for MCD are still needed to be verified by high quality studies.
Objective To evaluate diagnostic accuracy of several relevant cut-off points of Montreal cognitive assessment (MoCA) for mild cognitive impairment (MCI) in Chinese middle-aged adults. Methods Databases including PubMed, EMbase, Web of Science, The Cochrane Library (Issue 5, 2016), OVID, CBM, CNKI, VIP, WanFang Data were searched for diagnostic tests about MoCA for MCI from April 9th 2005 to December 31st 2015. Two reviewers independently screened literatures according to the inclusion and exclusion criteria, extracted data and assessed the methodological quality by QUADAS-2 tool. Then, meta-analysis was performed by Stata 14.0 software. Results A total of 27 studies involving 5 755 participants were included with mean ages from 60 to 80 years old. Among them, 1 997 were diagnosed as MCI patients by Petersen criteria. Based on maximal area under the ROC curve as well as optimal pooled sensitivity and specificity, the optimal cutoff value of MoCA was 25/26, the pooled sensitivity was 0.96 with 95%CI 0.93 to 0.97, specificity was 0.83 with 95%CI 0.75 to 0.89, and DOR was 107 with 95%CI 61 to 188. The subgroup analysis with different research designs, different sources of study participants and different MoCA versions all indicated 25/26 as an optimal cut-off value. Conclusion The optimal cutoff value of MoCA in Chinese middle-aged adults for screening MCI by Petersen criteria was 25/26.
Objectives To systematically review the efficacy of multimodal nonpharmacological interventions in mild cognitive impairment (MCI). Methods An electronically search was conducted in PubMed, EMbase, The Cochrane Library, PsycINFO, Web of Science, CINAHL, VIP, CBM, WanFang Data and CNKI databases from inception to November 2017 to collect randomized controlled trials (RCTs) on multimodal nonpharmacological interventions for MCI. Two reviewers independently screened literature, extracted data and assessed the risk of bias of included studies. Then, meta-analysis was performed by RevMan 5.3 software. Results A total of 12 RCTs involving 1 359 patients were included. The results of meta-analysis showed that there were no statistical differences between two groups in MMSE scores (SMD=0.33, 95%CI–0.13 to 0.78, P=0.16). However, the MoCA scores (SMD=0.52, 95%CI 0.38 to 0.67, P<0.000 01) and ADAS-Cog scores (SMD=1.13, 95%CI 0.75 to 1.51, P<0.000 01) in the multimodal nonpharmacological interventions group were better than those in the control group. Additionally, multimodal nonpharmacological interventions produced significant effects on ADL (SMD=–0.64, 95%CI –0.83 to–0.45, P<0.000 01), QOL-AD (MD=3.65, 95%CI 1.03 to 6.27, P=0.006) and depression (SMD=–0.83, 95%CI –1.41 to–0.26, P=0.005). There were no statistical differences between two groups on conversion rate to Alzheimer's disease (RR=0.27, 95%CI 0.06 to 1.26, P=0.10). Conclusions The current evidence shows that multimodal nonpharmacological interventions are feasible for patients with MCI as they have positive effects on overall cognitive abilities, daily living skills, and quality of life and depression. Nevertheless, due to the limited quantity and quality of included studies, more high quality studies are required to verify the conclusion.
This study uses mind-control game training to intervene in patients with mild cognitive impairment to improve their cognitive function. In this study, electroencephalogram (EEG) data of 40 participants were collected before and after two training sessions. The continuous complexity of EEG signals was analyzed to assess the status of cognitive function and explore the effect of mind-control game training on the improvement of cognitive function. The results showed that after two training sessions, the continuous complexity of EEG signal of the subject increased (0.012 44 ± 0.000 29, P < 0.05) and amplitude of curve fluctuation decreased gradually, indicating that with increase of training times, the continuous complexity increased significantly, the cognitive function of brain improved significantly and state was stable. The results of this paper may show that mind-control game training can improve the status of the brain cognitive function, which may provide support and help for the future intervention of cognitive dysfunction.
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.