317 PREVALENCE OF MOTORIC COGNITIVE RISK SYNDROME IN PATIENTS WITH MILD COGNITIVE IMPAIRMENT ATTENDING A MEMORY CLINIC
Bibliographic record
Abstract
Abstract Background Mild Cognitive Impairment (MCI) alone is not predictive of progression to dementia. However, previous research has found that the combination of MCI and slow gait speed, termed Motoric Cognitive Risk syndrome (MCR), is associated with a three-fold increased risk for the development of dementia. This study aimed to identify the prevalence of MCR among patients with MCI attending a memory clinic at a large teaching hospital. Methods: Participants Participants were recruited from the memory clinic at the study site. All participants matching the inclusion criteria were invited to participate in the study. Inclusion criteria: Age > 55 years, independently mobile > 50m unaided, diagnosis of MCI. All participants gave informed consent prior to testing. Procedure Gait speed (in cm/s) during normal pace walking was measured using a 5-metre computerised walkway with embedded sensors (GaitRite). Data Analysis Gait speed data was dichotomised into “normal” or “low” using previously defined gait speed cut-offs derived from age-based norms. Data was analysed using descriptive statistics on Microsoft Excel. Results 31 participants completed testing (Males: 12; Females: 19). Mean age was 73.65 (range 63-84). Median score on the Montreal Cognitive Assessment (MoCA) was 20 (range 4-28). N = 2 (6.45%) reached criteria for MCR. Conclusion Although this study had small numbers, prevalence of MCR was similar to that previously reported among similar populations. This approach to identifying those at high risk for dementia may allow clinicians to target and prioritise further investigations and preventative interventions.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".