Impact of platelet transfusion on toxicity and mortality after hematopoietic progenitor cell transplantation
Bibliographic record
Abstract
BACKGROUND: Thrombocytopenia occurs commonly after hematopoietic progenitor cell transplantation (HPCT) and is associated with potential morbidity and mortality. Few studies have examined the impact of platelet (PLT) transfusion on clinical outcomes in HPCT while optimal PLT transfusion strategies after HSCT remain uncertain. STUDY DESIGN AND METHODS: A retrospective single-center cohort study was conducted on 522 patients undergoing HPCT between January 2002 and December 2007. Associations between PLT transfusion events and clinical characteristics with transplant-related outcomes were assessed using univariate and multivariate analysis. RESULTS: Mean number of PLT transfusion events before Day +60 posttransplant was 7.5 (95% confidence interval, 6.7-8.4) with greater number of events after allogeneic compared with autologous HPCT (p < 0.01). Univariate and multivariate analysis confirmed that the number of PLT transfusion events was associated with increased 100-day nonrelapse mortality (p < 0.01), posttransplant length of hospital stay (p < 0.01), need for intensive care unit admission (p < 0.01), and number of organs affected by severe toxicity (p < 0.01). CONCLUSION: HPCT-related toxicity and mortality are associated with increased PLT transfusion events. Alternative strategies to reduce PLT transfusions after HPCT may warrant future study.
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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".