Pulmonary function in children and adolescents with sickle cell disease after nonmyeloablative hematopoietic cell transplantation
Bibliographic record
Abstract
Abstract Background Pulmonary complications are common in sickle cell disease (SCD). The use of standard myeloablative conditioning regimens may increase the risk of lung injury. We report serial pulmonary function testing (PFT) outcomes in children with SCD who underwent a matched‐sibling donor hematopoietic cell transplantation (HCT) using nonmyeloablative (NMA) protocol. Methods This is a retrospective chart review describing pulmonary outcomes in pediatric patients post HCT. The conditioning regimen consisted of alemtuzumab and a single fraction of 300 cGy of total body irradiation (TBI), and sirolimus for graft‐versus‐host disease (GVHD) prophylaxis. Serial PFT testing was performed pre and post HCT. The evaluated pulmonary measures included: forced vital capacity (FVC), forced expiratory volume in the first second (FEV 1 ), FEV 1 /FVC, and forced expiratory flow (FEF 25‐75 ). Results Twelve subjects were included in the analysis. All had HbSS genotype, and five of the 12 patients had one or more episodes of acute chest syndrome prior to HCT. Serial PFT measures were completed per patient. No patient was diagnosed with chronic GVHD of any organ post HCT. The baseline median FVC, FEV 1 , FEV 1 /FVC, and FEF 25‐75 were within the normal range and remained relatively unchanged post HCT. A linear mixed effects model, adjusting for gender and time from HCT, suggested no significant relationship between HCT and PFT parameters, including FVC, FEV 1 , and FEV 1 /FVC. Interestingly, the FEF 25‐75 results exhibited a shift in the means post HCT (pre‐HCT 86.2% predicted and post‐HCT 93.05% predicted, p ‐value = .018). Conclusion Our study suggests that HCT in children with SCD may prevent the anticipated decline in pulmonary function over time.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".