Quality of Life and Disability in Patients with Treatment-Failure Gout
Bibliographic record
Abstract
OBJECTIVE: The relationship between self-reported quality of life and disability and disease severity was evaluated in subjects with treatment-failure gout (n = 110) in a prospective, 52-week, observational study. METHODS: Subjects had symptomatic crystal-proven gout of at least 2 years' duration and intolerance or refractoriness to conventional urate-lowering therapy. Serum uric acid (sUA) concentration, swollen and tender joint counts, frequency and severity of gout flares, tophus assessments, comorbidities, and patient-reported outcomes data [Medical Outcomes Study Short Form-36 (SF-36), Health Assessment Questionnaire-Damage Index] were collected. Analyses included correlations of patient-reported outcomes with clinical variables and changes in clinical status. RESULTS: Mean age of study subjects was 59 years. Mean scores on SF-36 physical functioning subscales were 34.2-46.8, analogous to persons aged >or= 75 years in the general population. Subjects with more severe gout at baseline had worse health-related quality of life (HRQOL) in all areas (p < 0.02 for all measures), compared to patients with mild-moderate disease. Number of flares reported in past year, number of tender joints, swollen joints, and tophi correlated significantly with some or all HRQOL and disability measures. sUA was not significantly correlated with any HRQOL or disability measure. Subjects with comorbidities experienced worse physical, but not mental, functioning. CONCLUSION: Severe gout is associated with poor HRQOL and disability, especially for patients who experience more gout flares and have a greater number of involved joints. Subject perceptions of gout-related functioning and pain severity appear to be highly sensitive indicators of HRQOL and disability.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".