Does hydroxychloroquine improve patient reported outcomes in patients with lupus?
Bibliographic record
Abstract
BACKGROUND: Hydroxychloroquine (HCQ) use is associated with less disease activity, flares, damage and improved survival in Systemic Lupus Erythematosus (SLE). However, its effect on patient reported health outcomes (PROs) such as quality of life (QOL) is not known. METHODS: International data from Study on Outcomes of Lupus (SOUL) from 2,161 SLE patients were compared by HCQ use. Disease activity and damage were assessed using SELENA-SLEDAI and SLICC-ACR/SDI. QOL was evaluated using LupusPRO and Lupus Impact Tracker (LIT). Linear regression analyses were performed with LupusPRO summary scores health related HRQOL, non-health related NHRQOL and LIT as dependent and HCQ use as independent variable. Analyses were undertaken to test mediation of effects of HCQ use on QOL through disease activity. RESULTS: Mean age was 40.5 ± 12.8 years, 93% were women. Sixty-three (1363/2161) percent were on HCQ. On univariate analysis, HCQ use was associated with (a) better QOL (LupusPRO-HRQOL: β 6.19, 95% CI 4.15, 8.24, P ≤ 0.001, LupusPRO NHRQOL: β 5.83, 95% CI 4.02, 7.64, P ≤ 0.001) and less impact on daily life (LIT: β -9.37, 95% CI -12.24, -6.50, P ≤ 0.001). On multivariate and mediational analyses, the effects of HCQ on QOL were indirectly and completely mediated through disease activity. CONCLUSIONS: HCQ use in SLE is associated with better patient reported health outcomes (LupusPRO-HRQOL and NHRQOL and impact on daily life), and the effects are mediated through disease activity. This information can facilitate patients and physician's communication with decision-making regarding the use of HCQ for SLE management.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.000 | 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".