Background: The most efficient approach for studies examining the incidence of dementia involves a brief screening instrument to identify participants for more extensive testing to identify cognitive impairment. The modified mini-mental state examination (3MS) is commonly used as this initial screen in such two-stage designs, however its properties for this role require further study.

Purpose: We use data from the Women's Health Initiative Memory Study to contrast design options in two-stage designs.

Methods: This trial enrolled 7251 participants with nine or more years of education who were aged 65-79 and followed an average of four to five years. Logistic regression was used to examine the case yields at varying two-stage 3MS cutpoints. The efficiency of using different examination schedules and restricting enrollment to higher risk women was examined.

Results: Probable dementia is associated with marked decline in 3MS scores. The percentages of women classified with probable dementia ranged from 7.95% (3MS 85-88) to 50.0% (3MS < 70). The numbers [95% confidence interval] of enrolled women necessary to detect one case of probable dementia (four-year follow-up) for baseline 3MS scores of 100, 95, 90 and 85 were estimated as 1477 [389, 5618], 253 [134, 481], 53 [34, 85], and 14 [9, 23], respectively. Compared to annual testing, administration every two years increased the number of required enrollees by 11%, but decreased the number of test administrations by 46%.

Limitations: Our findings are influenced by the characteristics of our study group, its rates of retention, and the study protocol, and may not fully generalize to other settings.

Conclusions: The 3MS can serve as an efficient basis for two-stage study designs and a cutpoint of < or = 88 is reasonable for populations with similar characteristics. Studies may improve efficiency by using the 3MS during screening to eliminate women with low risk for dementia and by conducting testing every two years.

Download full-text PDF

Source
http://dx.doi.org/10.1191/1740774506cn140oaDOI Listing

Publication Analysis

Top Keywords

probable dementia
12
modified mini-mental
8
mini-mental state
8
women's health
8
health initiative
8
initiative memory
8
memory study
8
3ms
8
3ms scores
8
two-stage
5

Similar Publications

Background: biomarkers are essential in order to make a diagnosis with a high level of accuracy in patients with cognitive and behavior complaints. However, molecular imaging biomarkers not always provide an answer in daily clinical practice.

Methods: retrospective and descriptive study in patients with Amyloid PET (APscans) implemented according to rational use of this technic, between January 2019-November 2023 in Neurology Department, Infanta Leonor Hospital, Madrid, Spain.

View Article and Find Full Text PDF

Background: Alzheimer's Disease (AD) is associated with sleep disturbances. Moreover, individuals with sleep disturbances have been reported to have a higher risk for developing AD. The measurement of sleep behavior therefore opens the opportunity for a potential digital biomarker of AD.

View Article and Find Full Text PDF

Background: Changes in Amyloid-β (A) and hyperphosphorylated Tau (T) in the brain and cerebrospinal fluid (CSF) precedes AD symptoms, making the CSF proteome a potential avenue to understand disease pathophysiology and facilitate reliable diagnostics and therapies.

Method: We used the Somascan assay for measuring the protein levels of 7,029 analytes in CSF of 2,286 participants from four different cohorts. We employed a three-stage analytical approach (discovery, replication, and meta-analysis).

View Article and Find Full Text PDF

Biomarkers.

Alzheimers Dement

December 2024

Department of Neurology, Mayo Clinic, Rochester, MN, USA.

Background: In this pilot study, the diagnostic agreement for sleep biomarker-based neurodegenerative disorder (NDD) risk probabilities was evaluated in patients with Alzheimer's disease dementia (AD), Lewy body disease (LBD), mild cognitive impairment (MCI), and controls (CG) with a Mini-Mental State Exam scores ≥28.

Methods: Sleep biomarkers recorded with the Sleep Profiler (Advanced Brain Monitoring, Inc.) were used as inputs to a 4-class machine learning algorithm trained to assign NDD risk probabilities to AD=27, LBD=19, isolated REM sleep behavior disorder=15, and CG=58.

View Article and Find Full Text PDF

Background: Little is known about how plasma Alzheimer's disease (AD) biomarkers relate to neuroimaging biomarkers of cerebral small vessel disease (cSVD) in the context of neurodegeneration and AD pathology in late life.

Method: This cross-sectional study included 251 Multi-Ethnic Study of Atherosclerosis (MESA) Exam 6 participants with plasma AD biomarkers (Aβ42/Aβ40, GFAP, NfL, p-tau181, p-tau217, p-tau231; Quanterix SIMOA), MRI (neurodegeneration and cSVD), PiB (amyloid) PET, and UDSv3-based adjudicated cognitive status (69% cognitively normal, 27% MCI, 4% probable dementia) data at the Wake Forest site. Multivariable models examined relationships among cognitive status, plasma, and neuroimaging biomarkers (covariates: age, education, race, gender, smoking status, kidney function [eGFR], APOE-ε4, BMI; significance at p<.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!