Prognostic Indicators of Hospitalized Patients with Systemic Lupus Erythematosus: A Large Retrospective Multicenter Study in China
Bibliographic record
Abstract
OBJECTIVE: To investigate the mortality of hospitalized patients with systemic lupus erythematosus (SLE) and determine the influential factors associated with poor prognosis. METHODS: Medical records of 1956 SLE inpatients from 15 hospitals during the period January 1, 1999, to December 31, 2009, were reviewed. All patients were followed up in January 2010. Potential factors associated with mortality were analyzed, comparing patients who were living with those who were deceased. The independency of those factors significantly related to death was determined by Cox regression analysis. RESULTS: Male to female ratio was 1:15 in this cohort; median age at disease onset was 30 years. Hematologic (70.0%), mucocutaneous (68.2%), musculoskeletal (57.9%), and renal (48.7%) involvements were most often seen in these patients at time of admission. The overall mortality was 8.5% (n = 166), with infection (25.9%), renal failure (19.3%), and neuropsychiatric lupus (18.7%) the leading 3 causes of death. Independent predictors for mortality in this cohort of SLE patients were neuropsychiatric involvement [hazard ratio (HR) 2.19], anemia (HR 1.69), SLEDAI score > 8 at discharge (HR 1.64), increased serum creatinine (HR 1.57), low serum albumin (HR 1.56), cardiopulmonary involvement (HR 1.55), and patient untreated before admission (HR 1.48), whereas the use of antimalarial drugs (HR 0.62) and positive anti-Sm antibody (HR 0.60) were shown to be protective factors. CONCLUSION: SLE patients with delayed treatment and refractory disease have poorer prognosis. A high incidence of death would be expected if they have neuropsychiatric involvement, anemia, azotemia, or cardiopulmonary involvement. Combination therapy with antimalarial drugs may provide some benefit to patients with SLE.
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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 | 0.002 | 0.001 |
| 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 | 0.000 | 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".