کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6808692 | 1433593 | 2012 | 14 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Prediction of conversion from mild cognitive impairment to Alzheimer's disease dementia based upon biomarkers and neuropsychological test performance
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کلمات کلیدی
ProdromalVolumetryAβ1-42P-Tau - P سالmild cognitive impairment - اختلال شناختی خفیفMild cognitive impairment (MCI) - اختلال شناختی خفیف (MCI)MRI - امآرآی یا تصویرسازی تشدید مغناطیسیAlzheimer's disease - بیماری آلزایمرEarly detection - تشخیص زود هنگامDementia - جنون یا زوال عقلTau - خود راEntorhinal cortex - قشر انتورینالCerebrospinal fluid - مایع مغزی نخاعیCerebrospinal fluid (CSF) - مایع مغزی نخاعی (CSF)Biomarkers - نشانگر زیستی یا بیومارکرHippocampus - هیپوکامپ ADNI - کمک
موضوعات مرتبط
علوم زیستی و بیوفناوری
بیوشیمی، ژنتیک و زیست شناسی مولکولی
سالمندی
پیش نمایش صفحه اول مقاله
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چکیده انگلیسی
The current study tested the accuracy of primary MRI and cerebrospinal fluid (CSF) biomarker candidates and neuropsychological tests for predicting the conversion from mild cognitive impairment (MCI) to Alzheimer's disease (AD) dementia. In a cross-validation paradigm, predictor models were estimated in the training set of AD (N = 81) and elderly control subjects (N = 101). A combination of CSF t-tau/Aβ1-4 ratio and MRI biomarkers or neuropsychological tests (free recall and trail making test B (TMT-B)) showed the best statistical fit in the AD vs. HC comparison, reaching a classification accuracy of up to 64% when applied to the prediction of MCI conversion (3.3-year observation interval, mean = 2.3 years). However, several single-predictor models showed a predictive accuracy of MCI conversion comparable to that of any multipredictor model. The best single predictors were right entorhinal cortex (prediction accuracy = 68.5% (95% CI (59.5, 77.4))) and TMT-B test (prediction accuracy 64.6% (95% CI (55.5, 73.4%))). In conclusion, short-term conversion to AD is predicted by single marker models to a comparable degree as by multimarker models in amnestic MCI subjects.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Neurobiology of Aging - Volume 33, Issue 7, July 2012, Pages 1203-1214.e2
Journal: Neurobiology of Aging - Volume 33, Issue 7, July 2012, Pages 1203-1214.e2
نویسندگان
Michael Ewers, Cathal Walsh, John Q. Trojanowski, Leslie M. Shaw, Ronald C. Petersen, Clifford R. Jr., Howard H. Feldman, Arun L.W. Bokde, Gene E. Alexander, Philip Scheltens, Bruno Vellas, Bruno Dubois, Michael Weiner, Harald Hampel,