Degree of Functional Impairment Associated With Vestibular Hypofunction Among Older Adults With Cognitive Decline
Bibliographic record
Abstract
OBJECTIVE: Considering the altered multisensory signal compensation during senescence, the aim of the present study was to evaluate the integration rearrangements in unilateral vestibular hypofunction (UVH) during age-related cognitive decline. STUDY DESIGN: Cross-sectional study. SETTING: Longitudinal cohort study unit and of University tertiary referral center. PATIENTS: Older UVH individuals ≥ 55 years with Mild Cognitive Impairment (MCI) or Alzheimer Disease (AD) and matched UVH control group with age-appropriate cognitive function. INTERVENTION: Vestibulo-ocular reflex, postural sway examination (respectively performed by means of video head impulse test and static posturography), and dizziness-related and quality of life scores were collected in all three groups of UVH patients cognitively evaluated by means of Mini Mental State Examination and Alzheimer's Disease Assessment Scale (ADAS-cog). MAIN OUTCOME MEASURES: Vestibulo-ocular reflex gain, length, surface, and spectral values of body oscillation were measured. Dizziness Handicap Inventory, Activities-specific Balance Confidence scale, and Dynamic Gait Index scores were collected. RESULTS: A significant (p < 0.05) increase in surface and length values during both eyes closed and eyes open conditions was found when comparing scores for AD to both MCI and control group patients, respectively. These patients demonstrated significantly (p < 0.05) lower spectral values of body oscillation on posturography platform in both eyes closed and eyes open condition within the low-frequency interval than MCI and AD patients. CONCLUSION: This is the first study reporting an association between cognitive decline and posturography parameters with possible preventive clinical implications in evaluating the risk for falls in high-risk patients, such as older adults with common neuro-otological disorders.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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 source (direct Gemma or distilled Codex), 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".