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Telephone screening for amnestic mild cognitive impairment
Christopher R Lines1, Kathleen A McCarroll, Richard B Lipton
1Merck Research Laboratories, West Point, PA, USA. chris_lines@merck.com
Neurology
|January 29, 2003
Summary
Telephone screening effectively identifies individuals with amnestic mild cognitive impairment (aMCI) for clinical trials. Memory recall tests within the modified Telephone Interview for Cognitive Status (TICS-m) were most predictive of aMCI diagnosis.
Area of Science:
- Neurology
- Gerontology
- Clinical Psychology
Background:
- Mild cognitive impairment (MCI) is a preclinical stage of dementia.
- Early identification of amnestic mild cognitive impairment (aMCI) is crucial for clinical trial enrollment.
- Telephone screening offers a scalable method for initial participant assessment.
Purpose of the Study:
- To assess the effectiveness of telephone screening in identifying subjects with aMCI.
- To determine which components of the modified Telephone Interview for Cognitive Status (TICS-m) best predict aMCI diagnosis.
- To optimize recruitment for clinical trials targeting aMCI.
Main Methods:
- A stepwise telephone screening procedure was employed, including inclusion/exclusion criteria review, Category Fluency Test (CFT), and TICS-m.
- Subjects meeting specific CFT and TICS-m cutoffs were referred for in-clinic assessment.
- Post hoc factor analysis and logistic regression analyzed TICS-m components for predictive value.
Main Results:
- Out of 16,988 initial callers, 324 subjects met clinical criteria for aMCI.
- The TICS-m yielded three factors: language/attention, orientation, and memory.
- The memory factor, specifically word list recall, was the strongest predictor of aMCI.
Conclusions:
- Telephone screening is a viable method for identifying potential aMCI participants, though overall recruitment yield was low (2%).
- A significant proportion (43%) of those completing telephone screening and clinic visits met aMCI criteria.
- TICS-m's memory recall subtests are key indicators for aMCI identification in telephone-based screening.