A study on consistency between routine clinical diagnosis of AD and PET-amyloid imaging

LI Weiwei, XU Yali, SHEN Yingying, CHEN Dongwan, BU Xianle, ZENG Fan, LIU Yuhui, JIN Wangsheng, CHEN Yang, ZHU Jie, YAO Xiuqing, GAO Changyue, XU Zhiqiang, ZHOU Huadong, LI Qiming, JIAO Fangyang, WEN Jianliang, JIN Rongbing, WANG Yanjiang

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  • ISSN 2096-5516 CN 10-1536/R
  • Sponsored: China Association for Alzheimer’s Disease
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Chinese Journal of Alzheimer's Disease and Related Disorders ›› 2018, Vol. 1 ›› Issue (2) : 83-88. DOI: 10.3969/j.issn.2096-5516.2018.02.003

A study on consistency between routine clinical diagnosis of AD and PET-amyloid imaging

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Abstract

Objective: Evaluate the consistency between clinical diagnosis and the diagnosis based on 11C-Pittsburgh Compound B-positron emission tomography (PiB-PET) for Alzheimer's disease (AD), and discuss the factors that may influence brain Aβ deposition. Methods: 48 AD and 14 mild cognitive impairment (MCI) patients were enrolled in our study. The information of age, sex, education level, Neuropsychological assessment and vascular risk factors (VRF) (including hypertension, diabetes, hyperlipemia, coronary heart disease and stroke history) were collected and PiB-PET scanning and APOE gene sequencing were carried out on all subjects. We compared the consistency of AD clinical diagnosis and PiB-PET based diagnosis, analysed the neuropsychological test scores differences between PET positive and negative subjects, and discuss the correlation between VRF, education lever, APOE genotype and brain Aβ deposition. Results: The consistency between AD clinical diagnosis and PiB-PET based diagnosis were 77.1%, while PET positive subjects only cover 21.4% in MCI patients. The MMSE scores of PET positive subjects were lower than PET negative subjects (t=-3.232, P=0.004), and CDR(t=2.727, P=0.012)and ADL(t=2.261, P=0.034)scores were higher. Among all these risk factors, APOE genotype was the only significant one (OR=4.913, P=0.049) that can affect the brain Aβ deposition. Conclusion: Misdiagnose exists and can hardly be avoided in clinical diagnosis, it is necessary to bring into more assistance tools like biological biomarkers, neuroimaging and hereditary factor for a more precise clinical diagnosis. As the most important gene of AD, APOE perform well at AD diagnosis, evaluation, prevention and treatment.

Key words

Alzheimer's disease / Clinical diagnosis / PiB-PET / Risk factor

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LI Weiwei , XU Yali , SHEN Yingying , CHEN Dongwan , BU Xianle , ZENG Fan , LIU Yuhui , JIN Wangsheng , CHEN Yang , ZHU Jie , YAO Xiuqing , GAO Changyue , XU Zhiqiang , ZHOU Huadong , LI Qiming , JIAO Fangyang , WEN Jianliang , JIN Rongbing , WANG Yanjiang. A study on consistency between routine clinical diagnosis of AD and PET-amyloid imaging. Chinese Journal of Alzheimer's Disease and Related Disorders. 2018, 1(2): 83-88 https://doi.org/10.3969/j.issn.2096-5516.2018.02.003
阿尔茨海默病(Alzheimer's disease, AD)是 一种以进行性记忆减退和认知障碍为主要临床表现的常见神经系统退行性疾病。脑内β-淀粉样蛋白(amyloid-β protein, Aβ)胞外聚集形成的老年斑(senile plaques, SPs)是其最重要的特征性病理改变[1]。近年来,正电子发射断层显像(positron emission tomography, PET)扫描技术可通过同位素示踪标记放射性核素,以三维成像的形式高灵敏高特异地反映体内器官组织的生理情况和病理改变,被广泛用于临床和科学研究。基于PET检测的示踪剂11C-匹兹堡复合物B(11C Pittsburgh compound B,11C-PiB)可与脑内Aβ斑块特异结合并显像,能较准确地反映脑内Aβ沉积情况,在国内外临床和科研工作中得到一致肯定。但因费用及可操作性差等条件限制,目前临床对AD的诊断仍主要依赖于常规诊断标准[2-3],即借助病史采集得到、神经心理学量表评估和排除其他类型痴呆的方式进行。但有研究总结指出AD临床诊断的灵敏度在70.9%~87.3%,特异度在44.3%~70.8%[4],有很高比例的患者不符合病理诊断。为明确国内临床诊断的可靠性和有效性,本课题组纳入临床诊断的AD患者分析比较其临床诊断和PET影像学诊断的一致性。
国内外多项研究表明血管危险因素(vascular risk factors, VRF)高血压[5]、糖尿病[6]、高血脂[7]、脑卒中[8]、冠心病[9]可能影响脑内Aβ沉积,文化程度[10]也与之相关。另外,APOE基因是公认的散发性AD最重要的遗传因素。APOE基因共有三种等位基因ε2, ε3和ε4,其中ε4等位基因是独立危险因子,被证实能显著增加AD发病风险[11],将AD发病年龄提前[12]。另外APOE基因还可作为危险或保护因素影响体育锻炼[13]、糖尿病[14]、高血脂[15]等指标与AD间的相互关系。但这些相关性研究多是基于AD表型,对于决定AD发生发展的脑内病理标志Aβ,其与APOE基因间的相关性研究较少,且存在异质性。为明确在中国人群中这些因素是否是AD病理发生的重要风险指标,本课题组将研究对象从PET诊断的病理角度对以上因素做了关联性分析。

1 资料与方法

1.1 资料

选取2014年12月至2018年2月我院就诊的散发性AD患者和MCI患者作为研究对象。诊断由我院高年资神经内科医师初步评估,并通过小组讨论最终纳入。采用美国国家衰老研究所 (National Institute of Aging, NIA) 和阿尔茨海默病学会 (Alzheimer's Association, AA)确立的NIA-AA标准[2,3]诊断AD和MCI。排除符合以下条件之一的患者:①合并其他可能影响认知功能的神经系统疾病(如严重的帕金森病); ②严重的心、肝、肺、肾疾病或任何类型的肿瘤;③家族性AD; ④拒绝参与本项研究。本研究经本院伦理委员会批准。受试者或其亲属均同意并签署知情同意书。最终入组AD患者48例,其中男性23例,女性25例,年龄53~89岁,平均(68.94±9.34)岁;MCI患者14例,其中男性4例,女性10例,年龄51~86岁,平均(64.07±9.41)岁。

1.2 方法

收集患者基本资料及病史资料,高血压病、糖尿病、冠心病、脑卒中诊断分别采用美国高血压防治指南标准、1999年世界卫生组织(World Health Organization, WHO)糖尿病诊断标准、1979年WHO关于缺血性心脏病的命名与诊断标准、2014年中国急性期缺血性脑卒中诊治指南。高血脂则根据实验室检查总胆固醇> 5.72mmol/L和/或LDL-c> 3.12mmol/L作出诊断。
所有入组对象均接受11C-PiB-PET检测。PET扫描仪为德国进口产品,用11C-PiB注射,采集注射后40 min图像,发射扫描25 min,再透射扫描5 min,以三维采集模式重建得到脑冠状位、水平位各断层图像。检查由我院影像科受过专业技术培训的医师严格按操作标准进行,报告由我院影像科高年资医师组成的小组讨论得出,评估结果分为PET阳性和PET阴性。检查过程采用盲法,所有参与人员对患者基本资料不知情。

1.3 统计学方法

采用SPSS19.0 软件进行数据分析。计数资料用百分数(%)表示,用χ2检验比较组间差异;计量资料用 X±SD表示,若满足正态分布,方差齐性时采用独立样本t检验,方差不齐则用矫正t检验;若不满足正态分布,则采用Wilcoxon秩和检验。分别用单因素与多因素 Logistic回归分析各类潜在危险因素对AD的影响。P< 0.05时差异有统计学意义。

2 结果

2.1 研究对象PET诊断结果比较

AD组PET阳性患者37例,PET阴性患者11例,临床诊断与PET诊断的阳性一致率达77.1%,MCI组PET阳性患者3例,PET阴性患者11例,阳性一致率仅为21.4%(表1)。
表1 研究对象PET诊断结果比较
PiB-PET诊断
阳性 阴性 总数 阳性一致率(%)
临床诊断 AD组 37 11 48 77.1
MCI组 3 11 14 21.4
注:AD,阿尔茨海默病;MCI,轻度认知功能障碍。

2.2 组间神经心理学量表评分比较

PET阳性组与PET阴性组年龄、性别、 MMSE、CDR、ADL量表评分(表2)所示。PET阳性组平均年龄显著高于PET阴性组(P=0.003)。PET阳性组MMSE量表评分低于PET阴性组(P< 0.001),CD量表评分(P< 0.001)和ADL量表评分(P=0.001)高于PET阴性组,差异具有统计学意义。针对临床诊断的AD组患者进行分析,结果一致,PET阳性组MMSE量表评分显著低于PET阴性组(P=0.004),CDR量表评分(P=0.012)和ADL量表评分(P=0.034)显著高于PET阴性组。MCI组患者各指标均差异无统计学意义。
表2 研究对象一般资料及神经心理学量表评分
组别 例数(例) 年龄( X-±SD 性别(男/女) MMSE( X-±SD CDR( X-±SD ADL( X-±SD
总样本 PET(+) 40 70.4±9.30 19/21 13.74±7.12 1.89±0.92 43.52±14.27
PET(-) 22 63.18±8.15 8/14 23.21±4.59 0.89± 0.53 27.14±11.05
P 0.003 0.397 <0.001 <0.001 0.001
AD组 PET(+) 37 70.14±9.11 17/20 12.89±6.27 1.97±0.88 44.72±13.67
PET(-) 11 65.00±9.43 6/5 21.43±4.86 1.00±0.50 30.57±15.06
P 0.111 0.616 0.004 0.012 0.034
MCI组 PET(+) 3 74.00±13.11 2/1 27.33±1.53 0.67±0.29 24.00±1.73
PET(-) 11 61.36±6.56 2/9 25.00±3.83 0.79±0.57 23.71±3.20
P 0.033 0.176 0.35 0.745 0.89
注:AD,阿尔茨海默病;MCI,轻度认知功能障碍;MMSE,简易智力状态检查量表;CDR,临床痴呆评定量表;ADL,日常生活能力评定量表。

2.3 血管危险因素、APOE基因、文化程度的Logistic回归分析

总样本及AD组的单因素Logistic回归分析(矫正年龄、性别)结果表明,高血压、糖尿病、高血脂、冠心病、卒中史、教育年限均与PET沉积无关;APOE ε4携带者的Aβ沉积风险高于非携带者(总样本:OR=3.54,P=0.044; AD组:OR=4.913,P=0.049)(表3)。MCI组所有因素均与脑内Aβ沉积无关(数据未列出)。对所有因素进行多因素logistic回归分析,结果与单因素logistic回归分析一致,仅APOE基因型与Aβ是否沉积相关(总样本:OR=7.041,P=0.022; AD组:OR=25.222,P=0.026)。
表3 单因Logistic回归分析
高血压 糖尿病 高血脂 冠心病 卒中史 APOE 教育年限
总样本 OR 0.602 1.389 1.802 0.929 0.658 3.540 1.064
P 0.467 0.745 0.410 0.912 0.685 0.044 0.530
AD组 OR 0.225 0.412 0.720 0.597 0.407 4.913 1.044
P 0.113 0.414 0.698 0.514 0.409 0.049 0.733
进一步分析显示,在PET阳性组内,APOE ε4携带者的比例达60.0%,PET阴性组内的ε4携带者比例仅占27.3%,存在显著性差异(P=0.014)。反之,APOE ε4携带者中PET阳性人数占80.0%,APOE ε4非携带者中仅50.0%为PET阳性患者。

3 讨论

AD的确诊需同时满足临床诊断和病理诊断,其中,病理诊断即脑内Aβ沉积,可通过PiB-PET检做出较准确的判断。由于条件限制,临床诊断AD主要依据临床表现和神经心理学量表评估。本研究对临床诊断的AD和MCI患者各自的PET阳性诊断符合率作出统计,结果显示,临床诊断为AD的患者中仅有77.1%是PET阳性,说明22.9%的痴呆患者可能是被误诊的AD。导致误诊的原因及带来的影响是多方面的。虽然AD是痴呆中最为常见的疾病类型[16],但可出现AD相关临床症状的疾病有多种,如额颞叶痴呆、路易体痴呆、血管性认知障碍、药物中毒、抑郁症,部分感染性疾病等[17-18]。当这些患者被误诊为AD时,可能导致临床诊疗的方向错误,阻碍真正病因的发现,进而影响患者的治疗时机及治疗方式。例如一些用于AD治疗的药物已被证实对额颞叶痴呆[19]、路易体痴呆[20]无效,而一些非AD用药(他汀类药物、抗血小板药物、抗凝血药物)却是血管性认知障碍的必须药物。有研究显示18.2%~67.1%的误诊患者受到不恰当的医学处置[21]。以上错误处理将严重影响患者预后,同时给患者本身及其家属带来巨大的负担。在本研究中,临床诊断为MCI的患者中PET阳性者仅占21.4%,说明认知障碍虽是AD的典型临床表现,但导致轻度认知障碍的疾病比例可能要大于AD,这与既往相关结论是一致的[17-18]
进一步神经心理学量表评分的差异性分析发现PET阳性和PET阴性患者间的认知功能受损程度有差异。符合PET诊断标准的AD患者认知功能下降更明显,因此在临床工作中对于神经心理学评估结果较好的痴呆患者,诊断必须谨慎。同时PET阳性患者的平均年龄要显著高于PET阴性患者,这提示低龄患者的误诊率可能更高,因此在临床工作中对于低龄痴呆患者,须谨慎考虑其他疾病的可能性。但由于本研究样本量规模不大,两组间的年龄差异可能是由选入样本的偶然性引起,是高龄患者脑内Aβ沉积的累计时间相对更长导致PET阳性组认知功能更明显的下降。这些有待扩大样本量进一步证实。
血管危险因素(VRF)与 AD的相关性是现在的研究热点,当下普遍认同的VRF与AD相关结论多是建立在临床诊断分组的基础上[22-23],脱离了Aβ病理评估,其准确性有待商榷。本研究借助PiB-PET诊断发现VRF与Aβ沉积不相关,与既往结论存在一致[5-8,24 -25],也存在分歧[9,11,26]。造成结论不一致的原因可能有以下几点:部分研究样本量不足导致阳性差异未被发现;各研究对于PET结果阴阳性的界定标准不一致,有的通过SUVR吸收值进行量化评估,有的直接通过肉眼主观判断;PET示踪物的使用存在差异,除了PiB, Florbetapir (F18)也是常用的PET示踪剂;人群的异质性也是结论不一致的来源之一。
APOE基因是本研究发现的唯一与Aβ沉积相关的危险因素,在PET阳性组内的APOE ε4携带者比例远高于PET阴性组,同时APOE ε4携带者中的PET阳性患者比例也高于非携带者。证明APOE ε4等位基因可促进脑内Aβ沉积,加剧病理发展,与既往研究结论一致[26]。既往临床研究所发现的APOEε4增加AD发病风险,减小发病年龄,以及影响各生物指标与AD间相互关系的作用可能在一定程度上基于此,有待进一步证实。研究显示,APOE基因可能是通过同时参与Aβ产生和清除来影响脑内Aβ沉积的,虽然其中的具体机制尚未完全阐明[27],但它对于AD及其病理状态[26]的预测和诊断存在不可忽视的作用。同时,APOE基因在AD病理发生发展中的重要作用,也给AD的治疗提供了很多研究思路。比如,是否可以通过修饰APOE基因结构,调控APOE基因表达,阻断APOE与Aβ蛋白的相互作用,改变APOE蛋白结构特性等手段,干预AD的发生发展。总之,APOE基因在AD的诊断、风险评估、预防及治疗等方面都有着很高的应用价值。
综上所述,由于AD本身的复杂性,其临床诊断是存在一定局限性的。为提高AD诊断的准确性,给患者选择最恰当的诊疗方式,除了在临床诊断中谨慎评估(尤其是对低龄患者和认知损伤程度较轻的患者),还有必要纳入其他辅助诊断措施,如生物标志物检测、神经影像学检查、APOE等遗传基因测序,将全面综合的诊疗策略应用到AD临床工作中。

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Alzheimer's disease (AD) is the most common cause of cognitive dysfunction in older adults. The pathological hallmarks of AD such as beta amyloid (Aβ) aggregation and neurometabolic change, as indicated by altered myo-inositol (mI) and N-acetylaspartate (NAA) levels, typically precede the onset of cognitive dysfunction by years. Furthermore, cerebrovascular disease occurs early in AD, but the interplay between vascular and neurometabolic brain change is largely unknown. Thirty cognitively normal older adults (age = 70 ± 5.6 years, Mini-Mental State Examination = 29.2 ± 1) received 11-C-Pittsburgh Compound B positron emission tomography for estimating Aβ-plaque density, 7 Tesla fluid-attenuated inversion recovery magnetic resonance imaging for quantifying white matter hyperintensity volume as a marker of small vessel cerebrovascular disease and high-resolution magnetic resonance spectroscopic imaging at 7 Tesla, based on free induction decay acquisition localized by outer volume suppression to investigate tissue-specific neurometabolism in the posterior cingulate and precuneus. Aβ (β = 0.45, p = 0.018) and white matter hyperintensities (β = 0.40, p = 0.046) were independently and interactively (β = -0.49, p = 0.026) associated with a higher ratio of mI over NAA (mI/NAA) in the posterior cingulate and precuneus gray matter but not in the white matter. Our data suggest that cerebrovascular disease and Aβ burden are synergistically associated with AD-related gray matter neurometabolism in older adults.Copyright © 2017 Elsevier Inc. All rights reserved.
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Vemuri P, Lesnick TG, Przybelski SA, et al. Age, vascular health, and Alzheimer disease biomarkers in an elderly sample[J]. Ann Neurol, 2017, 82(5):706-718.
[10]
Arenaza-urquijo EM, Bejanin A, Gonneaud J, et al. Association between educational attainment and amyloid deposition across the spectrum from normal cognition to dementia: neuroimaging evidence for protection and compensation[J]. Neurobiol Aging, 2017, 59: 72-79.
The brain mechanisms underlying the effect of intellectual enrichment may evolve along the normal aging Alzheimer's disease (AD) cognitive spectrum and may include both protective and compensatory mechanisms. We assessed the association between early intellectual enrichment (education, years) and average cortical florbetapir standardized uptake value ratio as well as performed voxel-wise analyses in a total of 140 participants, including cognitively normal older adults, mild cognitive impairment (MCI), and AD patients. Higher education was associated with lower cortical florbetapir positron emission tomography (florbetapir-PET) uptake, notably in the frontal lobe in normal older adults, but with higher uptake in frontal, temporal, and parietal regions in MCI after controlling for global cognitive status. No association was found in AD. In MCI, we observed an increased fluorodeoxyglucose positron emission tomography (FDG-PET) uptake with education within the regions of higher florbetapir-PET uptake, suggesting a compensatory increase. Early intellectual enrichment may be associated with protection and compensation for amyloid beta (Aβ) deposition later in life, before the onset of dementia. Previous investigations have been controversial as regard to the effects of intellectual enrichment variables on Aβ deposition; the present findings call for approaches aiming to evaluate mechanisms of resilience across disease stages.Copyright © 2017 Elsevier Inc. All rights reserved.
[11]
Farrer LA, Cupples LA, Haines JL, et al. Effects of age, sex, and ethnicity on the association between apolipoprotein E genotype and Alzheimer disease. A meta-analysis. APOE and Alzheimer Disease Meta Analysis Consortium[J]. JAMA, 1997, 278(16):1349-1356.
[12]
Caselli RJ, Dueck AC, Osborne D, et al. Longitudinal modeling of age-related memory decline and the APOE epsilon4 effect[J]. N Engl J Med, 2009, 361(3):255-263.
[13]
Lautenschlager NT, Cox KL, Flicker L, et al. Effect of physical activity on cognitive function in older adults at risk for Alzheimer disease: a randomized trial[J]. JAMA, 2008, 300(9):1027-1037.
Many observational studies have shown that physical activity reduces the risk of cognitive decline; however, evidence from randomized trials is lacking.To determine whether physical activity reduces the rate of cognitive decline among older adults at risk.Randomized controlled trial of a 24-week physical activity intervention conducted between 2004 and 2007 in metropolitan Perth, Western Australia. Assessors of cognitive function were blinded to group membership.We recruited volunteers who reported memory problems but did not meet criteria for dementia. Three hundred eleven individuals aged 50 years or older were screened for eligibility, 89 were not eligible, and 52 refused to participate. A total of 170 participants were randomized and 138 participants completed the 18-month assessment.Participants were randomly allocated to an education and usual care group or to a 24-week home-based program of physical activity.Change in Alzheimer Disease Assessment Scale-Cognitive Subscale (ADAS-Cog) scores (possible range, 0-70) over 18 months.In an intent-to-treat analysis, participants in the intervention group improved 0.26 points (95% confidence interval, -0.89 to 0.54) and those in the usual care group deteriorated 1.04 points (95% confidence interval, 0.32 to 1.82) on the ADAS-Cog at the end of the intervention. The absolute difference of the outcome measure between the intervention and control groups was -1.3 points (95% confidence interval,-2.38 to -0.22) at the end of the intervention. At 18 months, participants in the intervention group improved 0.73 points (95% confidence interval, -1.27 to 0.03) on the ADAS-Cog, and those in the usual care group improved 0.04 points (95% confidence interval, -0.46 to 0.88). Word list delayed recall and Clinical Dementia Rating sum of boxes improved modestly as well, whereas word list total immediate recall, digit symbol coding, verbal fluency, Beck depression score, and Medical Outcomes 36-Item Short-Form physical and mental component summaries did not change significantly.In this study of adults with subjective memory impairment, a 6-month program of physical activity provided a modest improvement in cognition over an 18-month follow-up period.anzctr.org.au Identifier: ACTRN12605000136606.
[14]
Dore GA, Elias MF, Robbins MA, et al. Presence of the APOE epsilon4 allele modifies the relationship between type 2 diabetes and cognitive performance: the Maine-Syracuse Study[J]. Diabetologia, 2009, 52(12):2551-2560.
The primary aim of this study was to determine whether the presence of one or more APOE epsilon4 alleles modifies the association between diabetes (defined by glucose > or =7 mmol/l or treatment) and cognitive function.Diabetic status and APOE genotype interactions were assessed cross-sectionally for 826 community-dwelling, stroke-free, non-demented individuals (526 non-diabetic non-APOE epsilon4 carriers, 174 non-diabetic APOE epsilon4 carriers, 87 diabetic APOE epsilon4 non-carriers, 39 diabetic APOE epsilon4 carriers) ranging in age from 50 to 98 years. Cognitive function was assessed using the Mini-Mental State Examination (MMSE), the similarities subtest from the Wechsler Adult Intelligence Scale, and four composite scores derived from 17 additional neuropsychological tests. Multiple linear regression analyses were employed to relate diabetes and APOE genotype to cognitive performance and to examine the interaction between these two risk factors as they relate to cognitive performance. Multiple cardiovascular disease risk factors were statistically controlled.With adjustment for age, education, sex, race/ethnicity and APOE genotype, performance level was lower for the diabetic than for the non-diabetic group for the MMSE, the similarities subtest and each of the cognitive composites with the exception of the verbal memory composite. Interactions (p < 0.05) between diabetes and APOE genotype were found for all but the visual-spatial memory/organisation composite. The negative association between diabetes and cognitive performance was of a higher magnitude for individuals who carry one or more APOE epsilon4 alleles. Results were similar with additional adjustment for cardiovascular disease and associated risk factors.The presence of one or more APOE epsilon4 alleles modifies the association between diabetes and cognitive function.
[15]
Hall K, Murrell J, Ogunniyi A, et al. Cholesterol, APOE genotype, and Alzheimer disease: an epidemiologic study of Nigerian Yoruba[J]. Neurology, 2006, 66(2):223-227.
To examine the relationship between cholesterol and other lipids, APOE genotype, and risk of Alzheimer disease (AD) in a population-based study of elderly Yoruba living in Ibadan, Nigeria.Blood samples and clinical data were collected from Yoruba study participants aged 70 years and older (N = 1,075) as part of the Indianapolis-Ibadan Dementia Project, a longitudinal epidemiologic study of AD. Cholesterol, low-density lipoprotein (LDL), high-density lipoprotein (HDL), and triglyceride levels were measured in fasting blood samples. DNA was extracted and APOE was genotyped. Diagnoses of AD were made by consensus using National Institute of Neurologic Disorders/Stroke-Alzheimer's Disease and Related Disorders Association criteria.Logistic regression models showed interaction after adjusting for age and gender between APOE-epsilon4 genotype and biomarkers in the risk of AD cholesterol*genotype (p = 0.022), LDL*genotype (p= 0.018), and triglyceride*genotype (p = 0.036). Increasing levels of cholesterol and LDL were associated with increased risk of AD in individuals without the APOE-epsilon4 allele, but not in those with APOE-epsilon4. There was no significant association between levels of triglycerides and AD risk in those without APOE-epsilon4.There was a significant interaction between cholesterol, APOE-epsilon4, and the risk of Alzheimer disease (AD) in the Yoruba, a population that has lower cholesterol levels and lower incidence rates of AD compared to African Americans. APOE status needs to be considered when assessing the relationship between lipid levels and AD risk in population studies.
[16]
Brookmeyer R, Johnson E, Ziegler-Graham K, et al. Forecasting the global burden of Alzheim er's disease[J]. Alzheimers Dement, 2007, 3(3):18 6-191.
[17]
Hejl A, Høgh P, Waldemar G, et al. Potentially reversible conditions in 1000 consecutive memory clinic patients[J]. J Neurol Neurosurg Psychiatry, 2002, 73(4):390-394.
[18]
Hyman BT, Phelps CH, Beach TG, et al. National Institute on Aging-Alzheimer's Association guidelines for the neuropathologic assessment of Alzheimer's disease[J]. Alzheimers Dement, 2012, 8(1):1-13.
[19]
Boxer AL, Boeve BF, Frontotemporal dementia treatment: current symptomatic therapies and implications of recent genetic, biochemical, and neuroimaging studies[J]. Alzheimer Dis Assoc Disord, 2007, 21(4):S79-87.
[20]
McKeith IJ, Mintzer D, Aarsland D, et al. Dementia with Lewy bodies[J]. Lancet Neurol, 2004, 3:19-28.
Dementia with Lewy bodies (DLB) is the second commonest cause of neurodegenerative dementia in older people. It is part of the range of clinical presentations that share a neuritic pathology based on abnormal aggregation of the synaptic protein alpha-synuclein. DLB has many of the clinical and pathological characteristics of the dementia that occurs during the course of Parkinson's disease. Here we review the current state of scientific knowledge on DLB. Accurate identification of patients is important because they have specific symptoms, impairments, and functional disabilities that differ from those of other common types of dementia. Severe neuroleptic sensitivity reactions are associated with significantly increased morbidity and mortality. Treatment with cholinesterase inhibitors is well tolerated by most patients and substantially improves cognitive and neuropsychiatric symptoms. Clear guidance on the management of DLB is urgently needed. Virtually unrecognised 20 years ago, DLB could within this decade be one of the most treatable neurodegenerative disorders of late life.
[21]
Gaugler JE, Ascher-Svanum H, Roth DL, et al. Characteristics of patients misdiagnosed with Alzheimer's disease and their medication use: an analysis of the NACC-UDS database[J]. BMC Geriatr, 2013, 13:137.
Background: This study compared individuals whose clinical diagnosis of Alzheimer's disease (AD) matched or did not match neuropathologic results at autopsy on clinical and functional outcomes (cognitive impairment, functional status and neuropsychiatric symptoms). The study also assessed the extent of potentially inappropriate medication use (using potentially unnecessary medications or potentially inappropriate prescribing) among misdiagnosed patients.;Methods: Longitudinal data from the National Alzheimer's Coordinating Center Uniform Data Set (NACC-UDS, 2005-2010) and corresponding NACC neuropathological data were utilized to compare 88 misdiagnosed and 438 accurately diagnosed patients.;Results: Following adjustment of sociodemographic characteristics, the misdiagnosed were found to have less severe cognitive and functional impairment. However, after statistical adjustment for sociodemographics, dementia severity level, time since onset of cognitive decline and probable AD diagnosis at baseline, the groups significantly differed on only one outcome: the misdiagnosed were less likely to be depressed/dysphoric. Among the misdiagnosed, 18.18% were treated with potentially inappropriate medication. An additional analysis noted this rate could be as high as 67.10%.;Conclusions: Findings highlight the importance of making an accurate AD diagnosis to help reduce unnecessary treatment and increase appropriate therapy. Additional research is needed to demonstrate the link between potentially inappropriate treatment and adverse health outcomes in misdiagnosed AD patients.
[22]
Valenti R, Pantoni L, Markus HS, et al. Treatment of vascular risk factors in patients with a diagnosis of Alzheimer's disease: a systematic review[J]. BMC Med, 2014, 12:160.
[23]
Hess NC, Smart NA, Isometric Exercise Training for Managing Vascular Risk Factors in Mild Cognitive Impairment and Alzheimer's Disease[J]. Front Aging Neurosci, 2017, 9:48.
[24]
Noh Y, Seo SW, Jeon S, et al. The Role of Cerebrovascular Disease in Amyloid Deposition[J]. J Alzheimers Dis, 2016, 54: 1015-1026.
[25]
Shpanskaya KS, Choudhury KR, Hostage CJ, et al. Educational attainment and hippocampal atrophy in the Alzheimer's disease neuroimaging initiative cohort[J]. J Neuroradiol, 2014, 41(5):350-357.
[26]
Kemppainen N, Johansson J, Teuho J, et al. Brain amyloid load and its associations with cognition and vascular risk factors in FINGER Study[J]. Neurology, 2018, 90(3):e206-e213.
[27]
Yu JT, Tan L, Hardy J, et al. Apolipoprotein E in Alzheimer's disease: an update[J]. Annu Rev Neurosci, 2014, 37:79-100.
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