Outcomes in patients with systemic lupus erythematosus with and without a prolonged serologically active clinically quiescent period
Bibliographic record
Abstract
OBJECTIVE: Serologically active clinically quiescent (SACQ) systemic lupus erythematosus (SLE) patients' discordance presents a clinical dilemma. Does active serology alone warrant treatment? We explore outcomes in patients with and without a prolonged SACQ period, comparing the rate of damage accrual by Systemic Lupus International Collaborating Clinics/American College of Rheumatology Damage Index (SDI) and incidences of renal damage and coronary artery disease (CAD) over a decade. METHODS: SACQ was defined as a ≥2-year sustained period without clinical activity, with persistent serologic activity (increased anti-double-stranded DNA and/or hypocomplementemia). Antimalarials were permissible and corticosteroids/immunosuppressives were not. The SACQ patients were matched for relevant variables with SLE controls. Change in the SDI and incidences of CAD and renal damage were compared. Descriptive statistics were used; comparisons were made using t-tests and McNemar's tests. RESULTS: Fifty-five SACQ patients and 110 controls were identified. The mean ± SD SDI score at 3 years from the start of the SACQ period was 0.70 ± 1.27 in the SACQ patients versus 1.13 ± 1.54 in controls (P < 0.0001), and by 10 years was 1.26 ± 1.68 versus 2.26 ± 2.23 (P = 0.001); the intergroup difference in damage significantly increased over 10 years. Initially, 2 (3.6%) of the SACQ patients had CAD versus 7 (6.4%) of the controls (P = 0.32), with 1 (1.8%) new case in SACQ patients versus 8 (7.3%) new cases in controls over 10 years (P = 0.06). Baseline serum creatinine level did not differ between the groups. By definition, the SACQ patients had no baseline proteinuria versus 13 (12.3%) of the controls (P < 0.0001). By year 10, 2 (3.6%) SACQ patients versus 26 (23.6%) controls had renal damage (P < 0.0001). CONCLUSION: Patients with a prolonged SACQ period accrued less damage over a decade compared to matched controls, supporting management with active surveillance without treatment during an SACQ period.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".