Dimensional clinical phenotyping using post-mortem brain donor medical records: post-mortem RDoC profiling is associated with Alzheimer's disease neuropathology.

Dimensional clinical phenotyping using post-mortem brain donor medical records: post-mortem RDoC profiling is associated with Alzheimer's disease neuropathology.
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DOI:
10.1002/dad2.12464
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发表时间:
2023-07
期刊:
Alzheimer's & dementia (Amsterdam, Netherlands)
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其他
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跨诊断维度表型对于研究连续症状维度与病理变化之间的关系至关重要。这是尸检工作的一个根本挑战,因为表型概念的评估需要依赖现有记录。我们采用经过充分验证的方法,使用来自死后大脑捐赠者的电子健康记录(EHR)的自然语言处理(NLP)来计算国家心理健康研究所领域标准(RDoC)分数,并测试认知领域分数是否与阿尔茨海默病神经病理学测量相关。我们的结果证实了 EHR 衍生的认知评分与神经病理学发现之间的关联。值得注意的是,较高的神经病理负荷,特别是神经炎斑块,与额叶(ß = 0.38,P = 0.0004)、顶叶(ß = 0.35,P = 0.0008)、颞叶(ß = 0.37,P = 0.0004)和枕叶(ß = 0.37,P = 0.0004)较高的认知负担分数相关。 P = 0.0003) 叶。这项概念验证研究支持基于 NLP 的方法从死后 EHR 中获取 RDoC 临床领域定量测量的有效性。这些关联可能会加速尸检大脑研究,超越经典的病例对照设计。
Transdiagnostic dimensional phenotypes are essential to investigate the relationship between continuous symptom dimensions and pathological changes. This is a fundamental challenge to post‐mortem work, as assessments of phenotypic concepts need to rely on existing records. We adapted well‐validated methodologies to compute National Institute of Mental Health Research Domain Criteria (RDoC) scores using natural language processing (NLP) from electronic health records (EHRs) obtained from post‐mortem brain donors and tested whether cognitive domain scores were associated with Alzheimer's disease neuropathological measures. Our results confirm an association of EHR‐derived cognitive scores with neuropathological findings. Notably, higher neuropathological load, particularly neuritic plaques, was associated with higher cognitive burden scores in the frontal (ß = 0.38, P = 0.0004), parietal (ß = 0.35, P = 0.0008), temporal (ß = 0.37, P = 0.0004) and occipital (ß = 0.37, P = 0.0003) lobes. This proof‐of‐concept study supports the validity of NLP‐based methodologies to obtain quantitative measures of RDoC clinical domains from post‐mortem EHR. The associations may accelerate post‐mortem brain research beyond classical case–control designs.
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