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Record W2910473883 · doi:10.1182/blood-2018-99-111955

Combination of ATG and Post-Transplant Cyclophosphamide for Gvhd Prophylaxis in Matched Unrelated Donor Peripheral Blood Stem Cell Transplants for High-Risk Hematological Malignancies- a Single Centre Experience

2018· article· en· W2910473883 on OpenAlexaff
Shruti Prem Sudha, Eshetu G. Atenafu, Queralt Salas Gay, Zoe Evans, Zeyad Al‐Shaibani, David Loach, Arjun Law, Wilson Lam, Santhosh Thyagu, Fotios V. Michelis, Dennis Dong Hwan Kim, Jeffrey H. Lipton, Rajat Kumar, Auro Viswabandya

Bibliographic record

VenueBlood · 2018
Typearticle
Languageen
FieldMedicine
TopicPolyomavirus and related diseases
Canadian institutionsPrincess Margaret Cancer CentreUniversity Health Network
Fundersnot available
KeywordsMedicineFludarabineThymoglobulinInternal medicineGastroenterologyCyclophosphamideTransplantationBusulfanGraft-versus-host diseaseSurgeryHematopoietic stem cell transplantationRegimenChemotherapyTacrolimus

Abstract

fetched live from OpenAlex

Abstract Background ATG and post-transplant cyclophosphamide (PT-Cy) have been individually shown to be efficacious in reducing rates of GVHD in HLA matched and mismatched transplants. We adopted a combination regimen of ATG and PT-Cy for GVHD prophylaxis for matched unrelated donor (MUD) transplants in our centre to decrease the rates of acute and chronic GVHD. Patients and methods Pre-transplant conditioning consisted of iv Fludarabine (30mg/m2/day) for 4 days, iv Busulphan (3.2 mg/kg/day for 2 days), and low dose TBI (200cGy on day-1). GVHD prophylaxis was with Thymoglobulin 4.5mg/kg over 3 days (day-3 to -1), PT-Cy 50 mg/kg/day on days+3 and +4 and cyclosporine from day+5 (taper started by day+45 in patients without GVHD). The stem cell source was G-CSF stimulated peripheral blood stem cells (PBSC) in all patients. Overall survival (OS) and progression free survival (PFS) were calculated using Kaplan Meir method. Among variables included in Cox regression analysis to identify predictors of survival were age, pre-transplant remission status, occurrence of CMV infection, donor type (10/10 vs 9/10), and occurrence of acute or chronic GVHD. Results A total of 102 patients (median age 59y, range 22-74y) with high-risk hematological malignancies (AML-55, MDS-20, MPD-9, ALL-5, CML-4, lymphoma-6, CMML-3) were treated with this protocol. Unrelated donors were 9/10 matched in 26 patients, and the rest were 10/10 matched. At a median follow-up of 12 months (range 0.5 to 31 months), the 1year OS and PFS were 66.5% (95% CI -57% -76%) and 57.6% (95% CI 47.6% -67.6%) respectively. The 1year OS for 10/10 transplants was 72.3% (95%CI 61.7%- 82.9%), which was significantly higher than that for 9/10 transplants at 50% (95%CI 30.4%- 69.6%, p=0.016). The 1year PFS for 10/10 donor transplants was 65.5% (95% CI-54.3%- 76.7%) which was significantly higher than that for 9/10 transplants at 34.6% (95%CI 16%- 53.2%, p=0.004). The 9/10 matched patients had significantly higher relapses (hazard ratio 3.2, 95%CI 1.4-7.1, P=.005) than 10/10 matched patients. There were five graft failures (one primary and four secondary). The non-relapse mortality (NRM) was 17.6 %. The overall incidence of acute GVHD was 40% (grade 3-4 acute GVHD was seen in 14.8% patients). The overall incidence of chronic GVHD was 19.6% (moderate/severe NIH stage chronic GVHD was seen in 8.8% patients). The overall relapse rate was 23.3%. CMV re-activation was seen in 50 (49%) patients, and EBV re-activation in 20 (19.6%) patients, and 10 (9.8%) patients were diagnosed with post-transplant lympho-proliferative disorder (PTLD). In univariate analysis, adverse predictors of survival were a) persistent disease at the time of transplant, b) absence of chronic GVHD, and c) 9/10 donor type. In multivariable analysis, the only independent predictors of survival were a) persistent disease at time of transplant [hazard ratio 6.96, 95% CI 1.97-24.7, p=0.003], and b) donor type 9/10 vs 10/10 [HR 2.59, 95% CI 1.15-5.8, p=0.022]. Conclusion Our experience shows that PT-Cy and ATG can be combined for GVHD prophylaxis in MUD PBSCTs with low rates of Gr3-4 acute GVHD and chronic GVHD, and acceptable NRM and relapse rates. There were high rates of viral reactivation including PTLD. Figure. Figure. Disclosures Lipton: ARIAD: Consultancy, Research Funding; Bristol-Myers Squibb: Consultancy, Research Funding; Novartis: Consultancy, Research Funding; Pfizer: Consultancy, Research Funding.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.322
Threshold uncertainty score0.707

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.010
GPT teacher head0.223
Teacher spread0.213 · 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 designBench or experimental
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".

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Citations0
Published2018
Admission routes1
Has abstractyes

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