Ritchie Craig, Smailagic Nadja, Noel-Storr Anna H, Takwoingi Yemisi, Flicker Leon, Mason Sam E, McShane Rupert
Imperial College London, London, UK.
Cochrane Database Syst Rev. 2014 Jun 10;2014(6):CD008782. doi: 10.1002/14651858.CD008782.pub4.
According to the latest revised National Institute of Neurological and Communicative Disorders and Stroke and the Alzheimer's Disease and Related Disorders Association (now known as the Alzheimer's Association) (NINCDS-ADRDA) diagnostic criteria for Alzheimer's disease dementia of the National Institute on Aging and Alzheimer Association, the confidence in diagnosing mild cognitive impairment (MCI) due to Alzheimer's disease dementia is raised with the application of biomarkers based on measures in the cerebrospinal fluid (CSF) or imaging. These tests, added to core clinical criteria, might increase the sensitivity or specificity of a testing strategy. However, the accuracy of biomarkers in the diagnosis of Alzheimer's disease dementia and other dementias has not yet been systematically evaluated. A formal systematic evaluation of sensitivity, specificity, and other properties of plasma and CSF amyloid beta (Aß) biomarkers was performed.
To determine the accuracy of plasma and CSF Aß levels for detecting those patients with MCI who would convert to Alzheimer's disease dementia or other forms of dementia over time.
The most recent search for this review was performed on 3 December 2012. We searched MEDLINE (OvidSP), EMBASE (OvidSP), BIOSIS Previews (ISI Web of Knowledge), Web of Science and Conference Proceedings (ISI Web of Knowledge), PsycINFO (OvidSP), and LILACS (BIREME). We also requested a search of the Cochrane Register of Diagnostic Test Accuracy Studies (managed by the Cochrane Renal Group).No language or date restrictions were applied to the electronic searches and methodological filters were not used so as to maximise sensitivity.
We selected those studies that had prospectively well defined cohorts with any accepted definition of cognitive decline, but no dementia, with baseline CSF or plasma Aß levels, or both, documented at or around the time the above diagnoses were made. We also included studies which looked at data from those cohorts retrospectively, and which contained sufficient data to construct two by two tables expressing plasma and CSF Aß biomarker results by disease status. Moreover, studies were only selected if they applied a reference standard for Alzheimer's dementia diagnosis, for example the NINCDS-ADRDA or Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition (DSM-IV) criteria.
We screened all titles generated by the electronic database searches. Two review authors independently assessed the abstracts of all potentially relevant studies. We assessed the identified full papers for eligibility and extracted data to create standard two by two tables. Two independent assessors performed quality assessment using the QUADAS-2 tool. Where data allowed, we derived estimates of sensitivity at fixed values of specificity from the model we fitted to produce the summary receiver operating characteristic (ROC) curve.
Alzheimer's disease dementia was evaluated in 14 studies using CSF Aß42. Of the 1349 participants included in the meta-analysis, 436 developed Alzheimer's dementia. Individual study estimates of sensitivity were between 36% and 100% while the specificities were between 29% and 91%. Because of the variation in assay thresholds, we did not estimate summary sensitivity and specificity. However, we derived estimates of sensitivity at fixed values of specificity from the model we fitted to produce the summary ROC curve. At the median specificity of 64%, the sensitivity was 81% (95% CI 72 to 87). This equated to a positive likelihood ratio (LR+) of 2.22 (95% CI 2.00 to 2.47) and a negative likelihood ratio (LR-) of 0.31 (95% CI 0.21 to 0.48).The accuracy of CSF Aß42 for all forms of dementia was evaluated in four studies. Of the 464 participants examined, 188 developed a form of dementia (Alzheimer's disease and other forms of dementia).The thresholds used were between 209 mg/ml and 512 ng/ml. The sensitivities were between 56% and 75% while the specificities were between 47% and 76%. At the median specificity of 75%, the sensitivity was estimated to be 63% (95% CI 22 to 91) from the meta-analytic model. This equated to a LR+ of 2.51 (95% CI 1.30 to 4.86) and a LR- of 0.50 (95% CI 0.16 to 1.51).The accuracy of CSF Aß42 for non-Alzheimer's disease dementia was evaluated in three studies. Of the 385 participants examined, 61 developed non-Alzheimer's disease dementia. Since there were very few studies and considerable variation between studies, the results were not meta-analysed. The sensitivities were between 8% and 63% while the specificities were between 35% and 67%.Only one study examined the accuracy of plasma Aß42 and the plasma Aß42/Aß40 ratio for Alzheimer's disease dementia. The sensitivity of 86% (95% CI 81 to 90) was the same for both tests while the specificities were 50% (95% CI 44 to 55) and 70% (95% CI 64 to 75) for plasma Aß42 and the plasma Aß42/Aß40 ratio respectively. Of the 565 participants examined, 245 developed Alzheimer's dementia and 87 non-Alzheimer's disease dementia.There was substantial heterogeneity between studies. The accuracy of Aß42 for the diagnosis of Alzheimer's disease dementia did not differ significantly (P = 0.8) between studies that pre-specified the threshold for determining test positivity (n = 6) and those that only determined the threshold at follow-up (n = 8). One study excluded a sample of MCI non-Alzheimer's disease dementia converters from their analysis. In sensitivity analyses, the exclusion of this study had no impact on our findings. The exclusion of eight studies (950 patients) that were considered at high (n = 3) or unclear (n = 5) risk of bias for the patient selection domain also made no difference to our findings.
AUTHORS' CONCLUSIONS: The proposed diagnostic criteria for prodromal dementia and MCI due to Alzheimer's disease, although still being debated, would be fulfilled where there is both core clinical and cognitive criteria and a single biomarker abnormality. From our review, the measure of abnormally low CSF Aß levels has very little diagnostic benefit with likelihood ratios suggesting only marginal clinical utility. The quality of reports was also poor, and thresholds and length of follow-up were inconsistent. We conclude that when applied to a population of patients with MCI, CSF Aß levels cannot be recommended as an accurate test for Alzheimer's disease.
根据美国国立衰老研究所和阿尔茨海默病协会(现称为阿尔茨海默病协会)对阿尔茨海默病痴呆最新修订的国立神经疾病和中风研究所及阿尔茨海默病及相关疾病协会(NINCDS - ADRDA)诊断标准,基于脑脊液(CSF)检测或影像学检查的生物标志物应用可提高对阿尔茨海默病痴呆所致轻度认知障碍(MCI)的诊断可信度。这些检测加入核心临床标准后,可能会提高检测策略的敏感性或特异性。然而,生物标志物在阿尔茨海默病痴呆及其他痴呆诊断中的准确性尚未得到系统评估。我们对血浆和脑脊液淀粉样β蛋白(Aβ)生物标志物的敏感性、特异性及其他特性进行了正式的系统评估。
确定血浆和脑脊液Aβ水平对于检测那些随时间会转化为阿尔茨海默病痴呆或其他形式痴呆的MCI患者的准确性。
本综述的最新检索于2012年12月3日进行。我们检索了MEDLINE(OvidSP)、EMBASE(OvidSP)、BIOSIS Previews(ISI Web of Knowledge)、Web of Science和会议论文集(ISI Web of Knowledge)、PsycINFO(OvidSP)以及LILACS(BIREME)。我们还要求检索Cochrane诊断试验准确性研究注册库(由Cochrane肾脏组管理)。电子检索未设语言或日期限制,也未使用方法学筛选器以最大化敏感性。
我们选择那些前瞻性定义明确的队列研究,这些队列对认知功能下降有任何公认定义,但无痴呆,且在上述诊断时或前后记录了基线脑脊液或血浆Aβ水平,或两者皆有。我们还纳入了回顾性分析这些队列数据且包含足够数据以构建二乘二表来按疾病状态展示血浆和脑脊液Aβ生物标志物结果的研究。此外,仅选择应用了阿尔茨海默病痴呆诊断参考标准的研究,例如NINCDS - ADRDA或《精神疾病诊断与统计手册》第四版(DSM - IV)标准。
我们筛选了电子数据库检索生成的所有标题。两位综述作者独立评估所有潜在相关研究的摘要。我们评估已识别的全文是否符合纳入标准,并提取数据以创建标准的二乘二表。两位独立评估者使用QUADAS - 工具进行质量评估。在数据允许的情况下,我们从拟合生成汇总受试者工作特征(ROC)曲线的模型中得出在固定特异性值下的敏感性估计值。
14项研究使用脑脊液Aβ42评估了阿尔茨海默病痴呆。纳入荟萃分析的1349名参与者中,436人发展为阿尔茨海默病痴呆。各研究的敏感性估计值在36%至100%之间,特异性在29%至91%之间。由于检测阈值存在差异,我们未估计汇总敏感性和特异性。然而,我们从拟合生成汇总ROC曲线的模型中得出在固定特异性值下的敏感性估计值。在中位数特异性为64%时,敏感性为81%(95%CI 72至87)。这相当于阳性似然比(LR +)为2.22(95%CI 2.00至2.47),阴性似然比(LR -)为0.31(95%CI 0.21至0.48)。四项研究评估了脑脊液Aβ42对所有形式痴呆的准确性。在检查的464名参与者中,188人发展为某种形式的痴呆(阿尔茨海默病和其他形式的痴呆)。使用的阈值在209mg/ml至512ng/ml之间。敏感性在56%至75%之间,特异性在47%至76%之间。在中位数特异性为75%时,根据荟萃分析模型估计敏感性为63%(95%CI 22至91)。这相当于LR +为2.51(95%CI 1.30至4.86),LR -为0.50(95%CI 0.16至1.51)。三项研究评估了脑脊液Aβ42对非阿尔茨海默病痴呆的准确性。在检查的385名参与者中,61人发展为非阿尔茨海默病痴呆。由于研究数量极少且研究间差异较大,未对结果进行荟萃分析。敏感性在8%至6%之间,特异性在35%至67%之间。仅一项研究检查了血浆Aβ42以及血浆Aβ42/Aβ40比值对阿尔茨海默病痴呆的准确性。两种检测的敏感性均为86%(95%CI 81至90),血浆Aβ42的特异性为50%(95%CI 44至55),血浆Aβ42/Aβ40比值的特异性为70%(95%CI 64至75)。在检查的565名参与者中,245人发展为阿尔茨海默病痴呆,87人发展为非阿尔茨海默病痴呆。研究间存在显著异质性。在预先设定确定检测阳性阈值的研究(n = 6)和仅在随访时确定阈值的研究(n = 8)之间,Aβ42对阿尔茨海默病痴呆诊断的准确性无显著差异(P = 0.8)。一项研究在分析中排除了MCI非阿尔茨海默病痴呆转化者的样本。在敏感性分析中,排除该研究对我们的结果无影响。排除在患者选择领域被认为有高(n = 3)或不清楚(n = 5)偏倚风险的八项研究(950名患者)对我们的结果也无影响。
尽管仍在讨论中,但阿尔茨海默病所致前驱性痴呆和MCI的拟议诊断标准,在具备核心临床和认知标准以及单一生物标志物异常的情况下即可满足。从我们的综述来看,脑脊液Aβ水平异常降低的检测在诊断上益处甚微,似然比表明其临床效用仅处于边缘水平。报告质量也较差,阈值和随访时长不一致。我们得出结论,当应用于MCI患者群体时,脑脊液Aβ水平不能作为阿尔茨海默病的准确检测方法推荐。