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首页> 外文期刊>Dementia & Neuropsychologia >The Leganés cognitive test correlates poorly with MRI evidence of global cortical atrophy in an underserved community A population-based and nested case-control study in rural Ecuador (The Atahualpa Project)
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The Leganés cognitive test correlates poorly with MRI evidence of global cortical atrophy in an underserved community A population-based and nested case-control study in rural Ecuador (The Atahualpa Project)

机译:在服务欠缺的社区中,Leganés认知测试与MRI证据表明全球皮质萎缩的相关性很差厄瓜多尔农村基于人口和嵌套的病例对照研究(Atahualpa项目)

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OBJECTIVE: We aimed to evaluate whether the Leganés cognitive test (LCT) correlates with global cortical atrophy (GCA) and can be used as a surrogate for structural brain damage. METHODS: Atahualpa residents aged ≥ 60 years identified during a door-to-door survey underwent MRI for grading GCA. Using multivariate generalized linear models, we evaluated whether continuous LCT scores correlated with GCA, after adjusting for demographics, education, cardiovascular health (CVH) status, depression and edentulism. In a nested case-control study, GCA severity was assessed in subjects with LCT scores below the cutoff level for dementia (≤ 22 points) and in matched controls without dementia. RESULTS: Out of 311 eligible subjects, 241 (78%) were enrolled. Mean age was 69.2±7.5 years, 59% were women, 83% had primary school education, 73% had poor CVH status, 12% had symptoms of depression and 43% had edentulism. Average LCT score was 26.7±3, and 23 (9.5%) subjects scored ≤ 22 points. GCA was mild in 108, moderate in 95, and severe in 26 individuals. On the multivariate model, mean LCT score was not associated with GCA severity (β=0.06, SE=0.34, p=0.853). Severe GCA was noted in 6 / 23 case-patients and in 8 / 23 controls (OR: 0.67, 95% CI: 0.14-2.81, p=0.752, McNemar's test). CONCLUSION: The LCT does not correlate with severity of GCA after adjusting for potential confounding variables, and should not be used as a reliable estimate of structural brain damage.
机译:目的:我们旨在评估Leganés认知测验(LCT)是否与整体皮质萎缩症(GCA)相关,并可以用作结构性脑损伤的替代指标。方法:在门到门调查中确定的60岁以上的Atahualpa居民接受了MRI检查,以对GCA进行分级。使用多变量广义线性模型,我们在调整了人口统计学,教育,心血管健康(CVH)状态,抑郁和无牙颌症之后,评估了连续LCT分数是否与GCA相关。在巢式病例对照研究中,评估了LCT得分低于痴呆临界值(≤22分)的受试者和匹配的无痴呆对照的GCA严重程度。结果:在311名合格受试者中,有241名(78%)被纳入研究。平均年龄为69.2±7.5岁,女性为59%,小学文化程度为83%,CVH状况较差为73%,有抑郁症状的为12%,有无牙根病的。 LCT平均得分为26.7±3,其中23名(9.5%)受试者得分≤22。 GCA轻度为108,中度为95,重度为26。在多变量模型上,平均LCT评分与GCA严重程度无关(β= 0.06,SE = 0.34,p = 0.853)。在6/23例病例患者和8/23例对照中发现了严重的GCA(OR:0.67,95%CI:0.14-2.81,p = 0.752,McNemar's test)。结论:校正潜在的混杂变量后,LCT与GCA的严重程度无关,并且不应用作结构性脑损伤的可靠估计。

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