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 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 | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".