MétaCan
Menu
← Back to cohort
Record W4389229139 · doi:10.1182/blood-2023-182532

Regimen Intensity and Age Affect Transplant-Related Outcomes after Matched Related Donor Hematopoietic Cell Transplantation for Sickle Cell Disease: A STAR Registry Study

2023· article· en· W4389229139 on OpenAlexaff
Tami John, Deepak Chellapandian, Rikin Shah, Scott Gillespie, Katie Liu, Yijin Xiang, Monica Bhatia, Sonali Chaudhury, Michael J. Eckrich, Gregory M.T. Guilcher, Jennifer Jaroscak, Kimberly A. Kasow, Jennifer Krajewski, Alexander I. Ngwube, Timothy S. Olson, Hemalatha G. Rangarajan, John Horan, Lakshmanan Krishnamurti, Shalini Shenoy, Allistair Abraham, Elizabeth Stenger

Bibliographic record

VenueBlood · 2023
Typearticle
Languageen
FieldMedicine
TopicHemoglobinopathies and Related Disorders
Canadian institutionsAlberta Children's HospitalUniversity of Calgary
Fundersnot available
KeywordsMedicineAlemtuzumabInternal medicineBusulfanTransplantationHematopoietic stem cell transplantationHematopoietic cellRegimenCumulative incidenceGraft-versus-host diseaseOncologyImmunologyHaematopoiesisStem cell

Abstract

fetched live from OpenAlex

Background: Serotherapies such as anti-thymocyte globulin (ATG) and alemtuzumab (AL) are added to conditioning chemotherapy for matched related donor (MRD) hematopoietic cell transplantation (HCT) for sickle cell disease (SCD) to facilitate engraftment and prevent graft-vs-host disease (GVHD). Most reports show ATG added to myeloablative (MA) conditioning; however, the use of AL has increased with investigation of different intensity regimens. The aim of this study was to compare HCT-related outcomes across common conditioning approaches to determine superiority. Methods: Retrospective data on baseline patient and HCT characteristics, and HCT outcomes were collected on 352 SCD patients >1 yr post-HCT at 14 Sickle cell Transplant Advocacy and Research (STAR) Alliance centers. Patients with a non-MRD (n=117) or without serotherapy (n=26) were excluded, leaving 209. MA included busulfan (BU) cumulative dose (CD) >8mg/kg or TBI ≥800 cGy; other regimens were termed non-MA (nMA). Summary statistics were presented as median (IQR) for continuous variables and count (%) for categorical variables. Comparisons were made using two-sample hypothesis tests, with p-value of < 0.05 as significant. Time-to-event analyses followed out to 3 years (censored after) and considered 4 outcomes. The first 3 were estimated via the Kaplan-Meier method: (1) overall survival (OS); (2) rejection-free survival (RFS); with death and rejection as events; (3) severe GVHD-free, RFS (GRFS), with death, RFS and severe GVHD as events; and (4) GVHD was estimated by Fine-Gray competing risk analyses, considering death as a competing event and censoring for rejection. Results: 209 patients received MRD HCT with MA+AL (66, 32%), nMA+AL (49, 23%), MA+horse (hATG) (71, 34%), or MA+rabbit (rATG) (23, 11%). Median recipient and donor age at HCT were 8.4yr (IQR: 5.1, 13.0) and 9.3 (5.1, 15.0) and similar across cohorts. MA+AL had a less severe clinical phenotype and nMA+AL had decreased pulmonary function; other baseline characteristics were similar (data not included). Conditioning for MA+AL included bu/cyclophosphamide (cy) (64%) or bu/fludarabine (flu) (36%), for MA+hATG bu/cy (68%) or bu/cy/flu (32%), for MA+rATG bu/cy (83%) or bu/flu (17%), and for nMA+AL melphalan/flu (92%) plus thiotepa (TT) (8%). GVHD prophylaxis was primarily calcineurin inhibitor and methotrexate or mycophenolate mofetil (91.4%). In MA, serotherapy was proximal timed with AL starting day -5 or -6 at a median (IQR) CD of 1.05mg/kg (0.8, 1.5), hATG starting day -3 at 90mg/kg (90), or rATG starting day -5 at 10mg/kg (9.6, 10.1); in nMA, AL was distal timed starting day -22 at a CD of 1.98mg/kg (1.0, 2.8). Stem cells were bone marrow in all, and GCSF primed in 15.4% of MA+AL and 4% of nMA+AL. Total nucleated and CD3 cell doses were similar across cohorts. nMA+AL had shorter median follow up at 2y (1, 4) vs 3y (2, 6) overall. nMA+AL had earliest time to neutrophil engraftment, required less platelet infusions, and had a shorter hospital stay at median 13d (12, 15), 8 infusions (4,13), and 21d (18, 26), respectively. Readmissions were highest for MA+AL at 77% (vs 64% overall). Graft rejection occurred only in nMA+AL (4, 8.2%) and MA+rATG (2, 8.7%). Table 3-yr CI of grade III/IV aGVHD was highest in nMA at 12% (CI: 0.05, 0.23) vs 0-7%, p=0.130 and for any cGVHD was significantly higher in nMA+AL at 33% (0.19, 0.46) vs 9-19%, p=0.001. 3-year OS was excellent at 94.4% (91.3, 97.7) and comparable per cohort. 3-year RFS was lowest though not significantly in nMA+AL at 87% (0.78, 0.97) vs 91-97%, p=0.260. 3-year GRFS was significantly lower in nMA+AL at 69% (0.57, 0.83) vs 83-94%, p=0.001. When age controlled GRFS in nMA+AL ≥13y was significantly lower at 59% (0.40, 0.88) vs 74-100%, p=0.007. Figure Conclusions: Despite small cohort sizes and retrospective nature, this study allowed for direct comparison of common approaches to MRD HCT for SCD. Outcomes were collectively excellent. nMA had earlier engraftment, less transfusion needs, and shorter hospital stay, although significantly more cGVHD and lower 3-yr GRFS influenced by older age. Current clinical trials in nMA+AL include TT and abatacept to mitigate this difference. We previously reported an association between MA and cardiac dysfunction (Stenger et al. Transplant Cell Ther 2023). Potential benefit of nMA must be balanced against risk of rejection and GVHD, thus providers should carefully consider such when selecting conditioning.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.007
GPT teacher head0.234
Teacher spread0.227 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueBlood→Same topicHemoglobinopathies and Related Disorders→French-language works237,207→