Incidence and risk factor of hemorrhagic cystitis after allogeneic transplantation with fludarabine, busulfan, and anti‐thymocyte globulin myeloablative conditioning
Bibliographic record
Abstract
BACKGROUND: Hemorrhagic cystitis (HC) is a complication of allogeneic stem cell transplantation (SCT), associated with factors such as BK polyomavirus reactivation, age, conditioning regimen, and presence of graft-versus-host disease (GVHD). The incidence and impact of HC in patients receiving fludarabine (Flu), busulfan (Bu), and anti-thymocyte globulin (ATG) conditioning is unknown. METHODS: We conducted a case-control study of patients undergoing SCT at our center between January 1, 2003 and Dec 31, 2012, to determine the incidence of HC and its effect on patient outcomes including overall survival (OS), relapse, non-relapse mortality (NRM), GVHD, and healthcare resource use. RESULTS: In total, 94 cases of HC were identified and matched to controls based on age, donor type, disease type, and disease status at transplantation. The total incidence of HC was 17.7% (117 of 661 patients). Cases had a higher rate (43.6% vs 27.1%, P=.0394) of acute GVHD (Grade II-IV), and chronic GVHD requiring systemic steroids (34.9% vs 18.6%, P=.004). Male gender was found to be a risk factor (hazard ratio [HR]=1.725, P=.017). OS and progression-free survival did not differ between cases and controls (OS HR=1.128, 95% confidence interval [CI] 0.7807-1.639; progression-free survival HR=0.8809, 95% CI 0.6320-1.234), however the rate of NRM was higher in cases (HR=1.632, 95% CI 1.007-2.830). Median length of hospitalization was longer for patients with HC than matched controls (65.5 days vs 40.5 days, P<.0001). CONCLUSION: HC is common in patients undergoing allogeneic SCT with FluBuATG conditioning, and affects the duration of hospitalization. Rate of GVHD is higher among patients with HC. While OS is not affected, an association was seen with higher NRM in our study. Improvement in treatment for HC may lead to reductions in morbidity and healthcare resource utilization.
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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 | 0.002 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".