F04 Quality of life in Huntington's disease: a comparative study investigating the impact on spouses of those with premanifest and early disease
Bibliographic record
Abstract
Background Huntington9s disease (HD) is a progressive, inherited neurodegenerative condition, with onset usually in mid-life, affecting motor, cognitive and neuropsychiatric functions. Not surprisingly, studies have suggested that HD has a detrimental effect on the quality of life (QoL) of individuals with the HD gene expansion and also by association their families. The present literature exploring the impact for spouses predominantly investigates the later stages of HD. This study, however, uses clearly defined groups of both premanifest and early-stage symptomatic gene-carriers and their spouse/partners. Methods/techniques Self-report measures of quality of life and neuropsychiatric domains (SF-36; Quality of Life Index; Frontal Systems Behaviour Inventory (FrSBe)), clinical rating of motor function (UHDRS motor), Cognitive measures (Emotion Recognition, Trails-B) and the Short version of Problem Behaviours Assessment for HD (PBA-s) were completed by 86 participants from the TRACK-HD study. This included 23 pre-manifest gene carriers, 20 early, clinical stage 1 and 2, HD patients and 43 gene-negative spouse controls. Between-group differences and relationships between neuropsychiatric and cognitive data from the premanifest and symptomatic participants and QoL for their spouses were examined. Results/outcomes Largest between-group differences were evident between spouses and their partners with early stage disease; and different QoL domains were impacted in the different participant groups. The data presented shows the QoL domains affected in each group; and the impact of specific neuropsychiatric, cognitive and motor symptoms on spouse partners. Identification of the specific domains impacted in spouse/partners at an early stage of disease is crucial for establishing appropriate and long-term support.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".