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A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
Cerebrovascular Hemodynamics on Transcranial Doppler Ultrasonography and Cognitive Decline in Mild Cognitive
Background/Objective:
Vascular risk factors and neurovascular dysfunction may be closely related to cognitive impairment and dementia. In this study, we evaluated the association between hemodynamic markers and longitudinal cognitive changes in patients with mild cognitive impairment (MCI). Furthermore, we investigated whether hemodynamic markers could predict the risk of progression to Alzheimer's disease (AD) in patients with MCI.
Methods:
A total of 68 subjects with amnestic MCI were recruited. Using transcranial Doppler (TCD) ultrasonography, cerebrovascular reactivity was evaluated with a breath-holding test (breath holding index; BHI) in addition to the mean flow velocity (MFV) and pulsatility index (PI) of the middle cerebral artery. We followed subjects for 24 months and each subject underwent neuropsychological testing and TCD ultrasonography, annually. According to the follow-up neuropsychological studies and clinical interviews at 12 months, we divided the patients with MCI into two groups: patients with stable cognitive performance and patients who progressed to AD.
Results:
Lower BHI and higher PI were observed in patients who progressed to AD. The changes of MMSE score over the first 12 months correlated with lower baseline MMSE score and changes of MFV and BHI. The changes of MMSE score over 24 months were closely related to higher baseline resistance index and PI values. Multivariate logistic regression showed that abnormal baseline BHI value could predict a conversion from MCI to AD.
Conclusions:
We confirmed there is a close association between hemodynamic changes represented by TCD markers and cognitive decline, supporting the clinical value of hemodynamic markers in predicting MCI patients who will progress to AD.
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