ASSOCIATION BETWEEN IMPROVEMENT IN HEALTH-RELATED QUALITY OF LIFE OUTCOMES AND DISEASE ACTIVITY IN SLE: A REAL-WORLD COHORT STUDY
Bibliographic record
Abstract
PV178 / #702 Poster Topic: AS19 - Patient-Reported Outcome Measures Background/Purpose Systemic Lupus Erythematosus (SLE) is a chronic autoimmune disorder associated with significant morbidity and mortality. The use of patient-reported outcome (PRO) measures in SLE to assess health-related quality of life (HRQoL) is particularly relevant for capturing aspects of the disease that are not fully reflected by traditional disease activity measures, such as Type 2 SLE features. This study aimed to evaluate the association between clinically important improvements in HRQoL scores, assessed by the Short-Form 36 (SF-36), and disease activity, assessed by SLEDAI-2K, in patients with SLE in a real-world clinical setting. Methods This was a retrospective analysis of prospectively collected data in SLE patients followed at a single center in Toronto. Clinical and laboratory data were collected every 3-6 months, with SF-36 annually. We included patients with active disease (defined as SLEDAI-2K ≥ 6) from 2005- 2024 (marking the advent of mycophenolate mofetil use), with the availability of baseline and 1-year follow-up data for SF-36. Minimum clinically important differences (MCID) in SF-36 scores were defined as increases in SF-36 Physical (PCS) and Mental Component Summary (MCS) scores by ≥2.5, individual domain scores by ≥5, and minimum important difference (MID) for SLEDAI-2K as a decrease by ≥4. Associations between improvements in SF-36 (2 summary, 8 domain) scores and SLEDAI-2K responses at 1 year were analyzed using chi-square tests. Two separate regression models were used to study the least squares mean differences in SLEDAI-2K scores for PCS and MCS score responders vs nonresponders at 1 year. Results Among 247 patients included, median age was 37.1 years (IQR 28.5-46.5) at the study visit, female-to-male ratio of 8.8:1, and median SLE duration from diagnosis of 9.25 years (IQR 4.39-16.07). The median SLEDAI-2K score was 8 (IQR 6-12), with common organ involvements being mucocutaneous (46.6%), renal (44.9%), and musculoskeletal (23.5%). Most patients had active serology (79.4%) and a median SDI of 1 (IQR 0-2) at the study visit. The majority received hydroxychloroquine (83%), with mycophenolate mofetil (49.4%) being the most commonly prescribed immunosuppressant, followed by azathioprine (44.9%). Among MCS score responders, a significantly greater proportion achieved SLEDAI-2K responses compared to MCS nonresponders (52 of 101, 51.5 % vs 47 of 146, 32.2%, p<0.01). This association was not observed between PCS score responders and nonresponders. For individual SF-36 domains, significantly more patients who reported clinically meaningful improvements in physical function (53 of 111, 47.7 vs. 46 of 136, 33.8%, p=0.04) and mental health (45 of 86, 52.3% vs. 69 of 189, 33.5%, p<0.01) domains also achieved SLEDAI-2K responses. No significant differences were reported for other domains, although there was a trend in vitality and role emotional responders to achieve SLEDAI-2K responses (Figure 1). In the 2 regression models, a significant difference in SLEDAI-2K scores from baseline to 1 year was observed between PCS responders vs nonresponders (-5.13 and -3.09, p<0.01) and MCS responders vs nonresponders (-5.19 and -3.14, p<0.01). Figure 1: Proportion of SLEDAI-2K responders and non-responders in patients reporting improvements ≥ MCID versus non-responders in SF-36 summary and domain scores Conclusions In patients with active SLE, clinically important improvements in disease activity were notable among those who reported clinically meaningful improvements in MCS scores, physical function, and mental health domains of the SF-36 at 1 year. Those who demonstrated clinically meaningful improvements in both, SF-36 MCS and PCS scores had greater reductions in SLEDAI-2K scores at 1 year. These findings indicate that improvements in some aspects of HRQoL are associated with significant reductions in disease activity in SLE patients.
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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 | 0.024 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| 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".