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Risk Factors For Chronic Eye and Mouth GVHD In Unrelated Hematopoietic Cell Transplantation: T Cell Depletion Is The Only Risk Factor Identified and Appears To Be Favorable

2013· article· en· W2560541587 on OpenAlexaffabout
Mohamed Shanavas, Nada Hamad, Fotios V. Michelis, Jieun Uhm, Vikas Gupta, John Kuruvilla, Hans A. Messner, Jeffrey H. Lipton, Dennis Dong Hwan Kim

Bibliographic record

VenueBlood · 2013
Typearticle
Languageen
FieldMedicine
TopicHematopoietic Stem Cell Transplantation
Canadian institutionsPrincess Margaret Cancer CentreUniversity of Toronto
Fundersnot available
KeywordsMedicineTransplantationInternal medicineGraft-versus-host diseaseAlemtuzumabHematopoietic stem cell transplantationGastroenterologyMyeloid leukemiaLeukemiaChronic lymphocytic leukemiaImmunologySurgery

Abstract

fetched live from OpenAlex

Chronic graft versus host disease (GVHD) affecting eye and mouth are common complications of allogeneic hematopoietic stem cell transplantation (HCT). Although not life threatening, these forms of chronic GVHD are associated with significant morbidity and are difficult to treat. The risk factors associated with the development of chronic eye and mouth GVHD in unrelated donor transplantation (URD-HCT) are unknown. In order to identify risk factors for these two forms of organ specific GVHD we performed a retrospective review of patients who underwent URD-HCT at Princess Margaret Cancer Center, Toronto, Canada between January 2002 and October 2012. During this period 280 patients underwent URD-HCT. The median age was 47 (range 18-71) years and 58% were males. Disease indications for HCT were acute myeloid leukemia or myelodysplastic syndrome (54%), acute lymphoblastic leukemia (15%), chronic myeloid leukemia (10%), lymphoma (8%), myelofibrosis (6%), chronic lymphocytic leukemia (4%) and others (3%). Forty six (16%) patients had single antigen or allele mismatched donors. Graft source was peripheral blood stem cells in 212 (76%) patients and bone marrow in 68 (24%). One hundred eighty eight patients (67%) had full intensity conditioning and 92 (33%) had reduced intensity. GVHD prophylaxis consisted of cyclosporin (CSA) in 31%, CSA with methotrexate (MTX) in 29% and CSA with mycophenolate mofetil (MMF) in 40%. Forty six percent of patients received in vivo T- cell depletion (TCD) with alemtuzumab in addition to CSA-based GVHD prophylaxis. At a median follow up of 30 months (range, 1-134), 136 (49%) patients had developed chronic GVHD. Fifty eight (21%) patients had developed manifestations in eyes and 82 (29%) in mouth. In multivariable analysis no clinical variables were found to be predictive of overall chronic GVHD. In multivariable analysis TCD was the only predictive factor for chronic eye GVHD (HR=0.46; 95% CI, 0.27-0.79, p=0.005). The 5-year cumulative incidence of chronic eye GVHD in the TCD group was 16% vs. 32% in the non-TCD group (p= 0.002) (Figure 1A). Similarly, TCD was the only predictive factor for chronic mouth GVHD in multivariable analysis (HR=0.55; 95% CI, 0.35-0.86, p=0.009). The 5-year cumulative incidence of chronic mouth GVHD in the TCD group was 24% vs. 40% in the non-TCD group (p=0.004) (Figure 1B).Figure 1Figure 1 TCD was not a significant covariable for chronic skin, liver or gut GVHD. Prior grade 2-4 acute GVHD was the only predictive factor for skin and gut involvement and there was no predictive factor was identified for liver involvement. However TCD along with recipient age and source of stem cell was a significant covariable for lung GVHD. There was no difference in 5-year overall survival between the non-TCD and the TCD groups (45% vs. 36 %, p=0.4). These data suggest that TCD is associated with reduced incidence of chronic eye and mouth GVHD in URD-HCT without any significant effect on overall survival. It appears that risk factors for the development of organ-specific GVHD may vary based on the organ of involvement. Disclosures: No relevant conflicts of interest to declare.

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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)0.000
metaresearch head score (Gemma)0.001
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 score0.004
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

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

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 head0.013
GPT teacher head0.237
Teacher spread0.225 · 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".

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Citations0
Published2013
Admission routes2
Has abstractyes

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