Prognostic Factors for Death Due to Invasive Aspergillosis after Hematopoietic Stem Cell Transplantation: A 1-Year Retrospective Study of Consecutive Patients at French Transplantation Centers
Bibliographic record
Abstract
BACKGROUND: Invasive aspergillosis (IA) is a major cause of death after hematopoietic stem cell transplantation (HSCT). The goal of this retrospective and consecutive survey was to assess prognostic factors of death due to IA after HSCT at the time of diagnosis of IA. METHODS: All 64 health care centers affiliated with the Société Française de Greffe de Moelle et de Thérapie Cellulaire were contacted to participate in this study of all proven or probable cases of IA that occurred among HSCT recipients in 2002. Data for 51 cases (41 involving allogeneic HSCT and 10 involving autologous HSCT) were collected from patient records and included diagnostic and therapeutic features of IA, outcome, presence of hematological disease, and transplantation data. Cox models were applied to risk factors for death attributed to IA that were initially identified using the usual tests. RESULTS: The proportion of deaths attributed to IA within 4 months after diagnosis was 0.62 (95% confidence interval, 0.47-0.76). Seven factors assessed at diagnosis were determined to be strongly related to death due to IA: age of 12-35 years, dissemination of IA, presence of a pleural effusion, monocyte count of <120 cells/mm3, prolonged administration of steroids within the previous 2 months, receipt of a dose > or =2 mg/kg at the time of diagnosis, and uncontrolled graft-versus-host disease.Conclusions. Our study explored potential risk factors for death due to IA among HSCT recipients as a reference for investigation in larger future studies. These factors should help to identify HSCT recipients who would benefit from more-aggressive antifungal therapies.
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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) | 0.001 | 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".