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Participant and study partner prediction and identification of cognitive impairment in preclinical Alzheimer’s disease: study partner vs. participant accuracy

机译:参与者和研究对象的预测和临床前阿尔茨海默氏病认知障碍的识别:研究对象与参与者的准确性

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Preclinical Alzheimer’s disease (AD) clinical trials require participants to enroll with a study partner, a person who can attend visits and report changes in the participant’s cognitive ability. Whether study partners, compared to participants themselves, provide added information about participant cognition in preclinical AD trials is an open question. We tested the hypothesis that study partners provide meaningful information related to participant cognition cross-sectionally and longitudinally, and assessed whether amyloid status modified observed effects. We assessed participant and study partner Everyday Cognition (ECog) scores and participant Alzheimer’s Disease Assessment Scale 13-item cognitive subscale (ADAS13) data from 335 cognitively normal participant-partner dyads in the AD Neuroimaging Initiative. We used random forest and linear mixed effects (LME) models to predict ADAS13 scores as a function of participant and/or study partner ECog scores over time. LME models were adjusted for potential confounding factors, including APOE4 status, amyloid status, baseline age, years of education, and sex. Random forest models were split into the above factors, as well as race/ethnicity and other available neuropsychological battery test scores. In random forest models predicting ADAS13 12?months from baseline, we observed no difference in the estimated mean variable importance (eMVI) associated with baseline study partner ECog compared to the baseline participant ECog (eMVI?=?0.15, 95%CB 0.13, 0.16 for partner; eMVI?=?0.15, 95%CB 0.14, 0.16 for participant). In models predicting ADAS13 48?months after baseline, the eMVI associated with baseline study partner ECog was slightly lower than that associated with baseline participant ECog (eMVI?=?0.21, 95%CB 0.20, 0.22 for partner; eMVI?=?0.24, 95%CB 0.22, 0.25 for participant). In cross-sectional models, study partner eMVI was twice as large as participant eMVI at 12?months (eMVI?=?0.20, 95%CB 0.19, 0.21 for partner; eMVI?=?0.09, 95%CB 0.09, 0.10 for participant) and three times as large at 48?months (eMVI?=?0.38, 95%CB 0.36, 0.39 for partner; eMVI?=?0.13, 95%CB 0.12, 0.14 for participant). We did not observe qualitative differences by amyloid status. While baseline participant reports reasonably predict subsequent cognitive change, informants perform better at cross-sectionally recognizing cognitive status as observation time grows. The study partner requirement may be essential to ensure trial data integrity, especially in longer trials.
机译:临床前阿尔茨海默氏病(AD)临床试验要求参与者参加研究伙伴,该参与者可以参加拜访并报告参与者认知能力的变化。与参与者本身相比,研究对象是否提供附加的关于临床前AD试验中参与者认知的信息是一个悬而未决的问题。我们检验了这样的假设,即研究伙伴可以从横向和纵向上提供与参与者认知有关的有意义的信息,并评估淀粉样蛋白状态是否能改变观察到的效果。我们评估了来自AD Neuroimaging Initiative中335个认知正常的参与者-伴侣对偶的参与者和研究对象的日常认知(ECog)得分和参与者的阿尔茨海默氏病疾病评估量表13个项的认知子量表(ADAS13)数据。我们使用随机森林和线性混合效应(LME)模型来预测ADAS13分数随参与者和/或研究伙伴ECog分数随时间的变化。 LME模型针对潜在的混杂因素进行了调整,包括APOE4状态,淀粉样蛋白状态,基线年龄,受教育年限和性别。随机森林模型被分为上述因素,以及种族/种族和其他可用的神经心理学电池测试分数。在预测距基线12个月的ADAS13的随机森林模型中,我们观察到与基线研究对象ECog相关的估计平均变量重要性(eMVI)与基线参与者ECog相比没有差异(eMVI?=?0.15,95%CB 0.13,0.16 (合作伙伴); eMVI?=?0.15,95%CB 0.14,参与者0.16)。在预测基线48个月后的ADAS13的模型中,与基线研究对象ECog相关的eMVI略低于与基线参与者ECog相关的eMVI(eMVI?=?0.21,95%CB 0.20,伴侣的0.22; eMVI?=?0.24, 95%CB 0.22,参与者为0.25)。在横断面模型中,研究伙伴的eMVI在12个月时是参与者eMVI的两倍(eMVI?=?0.20,95%CB 0.19,伙伴为0.21; eMVI?=?0.09,95%CB 0.09,参与者为0.10) ),是48个月时的三倍(合作伙伴的eMVI?=?0.38,95%CB 0.36,0.39;合作伙伴eMVI?=?0.13,95%CB 0.12,0.14)。我们没有观察到淀粉样蛋白状态的质量差异。尽管基线参与者的报告合理预测了随后的认知变化,但随着观察时间的增长,线人在横断面地识别认知状态方面表现更好。研究伙伴的要求对于确保试验数据的完整性可能是必不可少的,尤其是在较长的试验中。

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