Clinical Characteristics and Prognostic Analysis of Microscopic Polyangiitis With Diffuse Alveolar Hemorrhage
Bibliographic record
Abstract
Objective. To analyze the clinical features and prognostic factors of microscopic polyangiitis (MPA) with diffuse alveolar hemorrhage (DAH). Methods. We conducted a retrospective study of 92 patients diagnosed with MPA with DAH at the First Affiliated Hospital of Chongqing Medical University between March 1, 2012, and March 12, 2018. The cumulative survival rate was analyzed by the Kaplan-Meier method, and survival curves were drawn. A Cox hazard model was used to determine the prognostic factors for survival by univariate and multivariate analysis. Results. The mean age at the onset of MPA with DAH was 66.32 years. Among the 92 MPA with DAH patients with follow-up visits, 41 (44.57%) were critically ill and 79 (85.87%) had pulmonary and renal involvement. The cumulative survival rates of the 92 patients at 1, 3, and 5 years were 63.7%, 51.2%, and 47.3%, respectively, and the median survival time was 46 months. In the multivariate analysis, age > 65 years (HR 4.30, 95% CI 1.94–9.55), sCr > 500 μmol/L (HR 2.04, 95% CI 1.05–3.97), PaO2/FiO2 < 300 mmHg (HR 4.10, 95% CI 1.97–8.53), and lung involvement area ≥ 50% (HR 2.93, 95% CI 1.40–6.13) were independent prognostic factors (P < 0.05). Conclusion. The incidence and mortality of DAH are high in MPA patients. Age > 65 years, sCr > 500 μmol/L, PaO2/FiO2 < 300 mmHg, and lung involvement area ≥ 50% are independent prognostic factors for MPA with DAH.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".