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Record W2055468114 · doi:10.1016/j.bbmt.2009.04.004

Graft-versus-Host Disease Prophylaxis with Tacrolimus and Mycophenolate Mofetil in HLA-Matched Nonmyeloablative Transplant Recipients Is Associated with Very Low Incidence of GVHD and Nonrelapse Mortality

2009· article· en· W2055468114 on OpenAlexaff
Waleed Sabry, Richard Le Blanc, Annie‐Claude Labbé, Guy Sauvageau, Stephen Couban, Thomas Kiss, Lambert Busque, Sandra Cohen, Silvy Lachance, Denis‐Claude Roy, Jean Roy

Bibliographic record

VenueBiology of Blood and Marrow Transplantation · 2009
Typearticle
Languageen
FieldMedicine
TopicHematopoietic Stem Cell Transplantation
Canadian institutionsDalhousie UniversityUniversité de SherbrookeUniversité de MontréalHôpital Maisonneuve-Rosemont
Fundersnot available
KeywordsMedicineMucositisTacrolimusFludarabineInternal medicineRegimenGastroenterologyMycophenolic acidGraft-versus-host diseaseTransplantationIncidence (geometry)CyclophosphamideSurgeryChemotherapy

Abstract

fetched live from OpenAlex

Incidence of grade II-IV acute graft-versus-host disease (aGVHD) in nonmyeloablative (NMA) transplant recipients remains high. To date, the ideal prophylaxis regimen, which minimizes aGVHD and chronic GVHD (cGVHD), but does not abrogate graft-versus-tumor (GVT) response, has not been described. Because tacrolimus is more potent than cyclosporine (CSA), and because mycophenolate mofetil (MMF) is an effective immunosuppressant that does not lead to mucositis, we hypothesized that a combination of these 2 oral agents may be an effective GVHD prophylactic strategy. We, therefore, designed an outpatient prospective cohort study with a conditioning regimen consisting of fludarabine (Flu) 30 mg/m2 daily and cyclophosphamide (Cy) 300 mg/m2 daily for 5 days followed by infusion of blood stem cells. Tacrolimus 3mg twice a day was started on day (D) -8, adjusted to achieve levels 10-15 nmol/L, continued until D +50 and then tapered by D +100 or +180 according to estimated risk of relapse. MMF 1000 mg twice a day was started on D +1 and discontinued on D +50. To date, 131 patients (males/females: 75/56) with a median age of 54 years have received a 6/6 matched sibling transplant using this protocol. Indication for NMA transplant included age >55 years (24%), expected increased risk of toxicity (28%), or participation in a multiple myeloma (MM) sequential protocol (48%). Most common diagnoses included MM (N = 62), non-Hodgkin lymphoma (NHL, N = 46), and acute leukemia (N = 10). Following infusion of 6.8 x 10(6) CD34+ cells/kg (range: 0.30-22.3), neutrophil and lymphocyte engraftment occurred in 95% of patients by D +180. The estimated cumulative incidence of classical grade I-IV aGVHD by D +120 was 11.6% (95% confidence interval [CI]: 7.1-18.5). No grade IV aGVHD was observed. In addition, 15 patients (12%: CI: 7.4-19.2; median D +140) developed an overlap syndrome consisting of clinical and histologic features of both aGVHD and cGVHD simultaneously. The estimated cumulative incidence of extensive cGVHD was 76.1% (95% CI: 67.4-83.9) at 2 years, with clinical features at presentation similar to other reported series. In patients developing extensive cGVHD, the probability of remaining on immunosuppression at 5 years was 34.8% (95% CI: 16.4-57.3). With a median follow-up of 982 days, the estimated probabilities of nonrelapse mortality (NRM) and overall survival (OS) were 15.5% (95% CI: 9.0-26.1) and 62.7% (95% CI: 51.4-72.1). The cumulative incidence of relapse was 30% at 7 years. Following NMA transplant, disease-free survival (DFS) was highest in recipients with follicular NHL (79.8%: 95% CI: 57.6-91.2) and lowest in large cell NHLs (34.3%: 95% CI: 1.6-75.9). From this large group of patients treated with a uniform conditioning and GVHD prophylaxis regimen, we conclude that aGVHD prophylaxis with early use of tacrolimus and MMF is safe, effective, and associated with low NRM. Future strategies will need to focus on decreasing the incidence of extensive cGVHD without increasing the risk of relapse.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.067
Threshold uncertainty score0.778

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.011
GPT teacher head0.248
Teacher spread0.237 · 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 teacher head, 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

Citations43
Published2009
Admission routes1
Has abstractyes

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