Optimization of Autologous Stem Cell Transplantation for Systemic Sclerosis — A Single-center Longterm Experience in 26 Patients with Severe Organ Manifestations
Bibliographic record
Abstract
OBJECTIVE: Autologous stem cell transplantation (aSCT) for systemic sclerosis (SSc) has been shown to be effective in recent reports. This aggressive approach and the disease itself are associated with a high mortality. We report our experiences in 26 consecutive patients. METHODS: Between 1997 and 2009, 26 patients were scheduled for aSCT. Our standard transplant regimen consists of cyclophosphamide (CYC) and granulocyte colony-stimulating factor (GCSF) for mobilization and CYC plus antithymocyte globulin for conditioning before the retransfusion of CD34 selected stem cells. The major outcome variable was the response to treatment [reduction of modified Rodnan skin score (mRSS) by 25%] at Month 6. Secondary endpoints were the transplant-related mortality and the progression-free survival. RESULTS: Significant skin and lung function improvement of the mRSS was achieved in 78.3% of patients at Month 6. The overall response rate was 91%, as some patients improved even after Month 6. Three patients died between mobilization and conditioning treatment, 2 due to severe disease progression and 1 whose death was considered treatment-related (i.e., GCSF or CYC toxicity). Depending on definitions, transplant-related mortality was 4% and treatment-related mortality 11%. Seven patients experienced a relapse during the 4.4 years of followup. The progression-free survival was 74%. Four patients died during followup and the most frequent causes of death were pulmonary and cardiac complications of SSc. CONCLUSION: aSCT led to significant improvement in most patients with SSc. The procedure requires further optimization; hence we are modifying our screening and treatment strategy. To minimize infectious complications, CYC for mobilization and GCSF were reduced. We intensified our screening for cardiac involvement and modified our conditioning regimen in case of cardiac involvement.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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".