AI Article Synopsis
- This study aims to identify risk factors for the transition from mild cognitive impairment (MCI) to Alzheimer's disease (AD) to improve early intervention and clinical trial designs.
- It involved 400 MCI subjects monitored over 3 years, revealing that 109 developed dementia, mostly Alzheimer's, with specific risk factors identified such as smoking and brain volume.
- The findings suggest a practical risk classification method combining brain volume and cognitive test scores to efficiently identify individuals at risk for dementia.
Article Abstract
Introduction: The purpose of this study is to identify the risk factors and risk classification associated with the conversion from mild cognitive impairment (MCI) to Alzheimer's disease (AD) dementia to facilitate early intervention and the design of clinical trials for AD.
Methods: The study comprised a prospective cohort study of 400 subjects with MCI who had annual follow-ups for 3 years.
Results: During an average follow-up period of 3.5 years, 109 subjects were diagnosed with all cause of dementia, of whom 104 subjects converted to Alzheimer's dementia and 5 subjects converted to other types of dementia. The cumulative conversion rate was 5.5% (95% CI: 3.4, 8.6), 16.3% (95% CI: 12.9, 21.1), and 31.0% (95% CI: 25.4, 36.5) in each of the first 3 follow-up years, respectively. The factors associated with a greater risk of conversion from MCI to AD included smoking status, ApoE4 carrier status, right hippocampal volume (rt. HV), left temporal lobe volume, and scores on the Revised Chinese version of the Alzheimer's Disease Assessment Scale-Cognitive Subscale 13 (ADAS-Cog-C). The risk classification of the ADAS-Cog-C or Preclinical Alzheimer Cognitive Composite (PACC) score combined with the rt. HV showed a conversion difference among the groups at every annual follow-up.
Conclusion: A simple risk classification using the rt. HV and neuropsychological test scores, including those from the ADAS-Cog-C and PACC, could be a practicable and efficient approach to indentify individuals at risk of all-cause dementia.
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| http://dx.doi.org/10.2174/1567205020666230914161034 | DOI Listing |
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