Predictors of Organ Damage Progression and Effect on Health-related Quality of Life in Systemic Lupus Erythematosus
Bibliographic record
Abstract
OBJECTIVE: To describe organ damage accrual, predictors of damage progression, and effect on health-related quality of life (HRQOL) in patients with systemic lupus erythematosus (SLE). METHODS: A longitudinal database of patients who met the American College of Rheumatology (ACR) classification criteria for SLE was used. Annual assessments included the Systemic Lupus International Collaborating Clinics/ACR Damage Index (SDI) and the Medical Outcomes Study Short Form-36 (SF-36). The prognostic significance of demographic, disease-related, and treatment-related factors on damage progression was examined using multivariable Cox regression. The effect of changes in SDI scores on HRQOL, measured using the SF-36 summary and subscale scores, was assessed using linear mixed-effects modeling. RESULTS: There were 273 patients with SLE studied over a mean (SD) duration of followup of 7.3 (4.3) years. During followup, 126 (46.2%) had an increase in SDI scores. Patients with preexisting damage at baseline were more likely to have earlier damage progression (HR 2.09, 95% CI 1.44-3.01). Older age, ≥ 8 ACR classification criteria, immunosuppressive drugs, cigarette smoking, and higher mean serum C-reactive protein levels were associated with an earlier increase in SDI scores in multivariable analysis. In general, changes in SDI scores were associated with initial declines in SF-36 scores at the time that damage occurred, with subsequent change comparable to that seen in patients without damage progression. CONCLUSION: This study identified multiple risk factors, some modifiable, associated with damage progression in patients with SLE. The negative effect on HRQOL emphasizes the need for treatment strategies to reduce the risk of organ damage over time.
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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 | 0.007 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 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 | 0.000 |
| 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".