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Donor Type, Chronic Gvhd Subtype , and the Severity of Chronic Gvhd at the Time of Initiation of Chronic Gvhd Treatment Affect Failure-Free Survival in the Patients with Chronic Gvhd

2015· article· en· W2562282041 on OpenAlexaffabout
Jieun Uhm, Elizabeth Shin, Marc Poch Martell, Fotios V. Michelis, Auro Viswabandya, Jeffrey H. Lipton, Hans A. Messner, Dennis Dong Hwan Kim

Bibliographic record

VenueBlood · 2015
Typearticle
Languageen
FieldMedicine
TopicHematopoietic Stem Cell Transplantation
Canadian institutionsPrincess Margaret Cancer CentreUniversity of Toronto
Fundersnot available
KeywordsMedicineProportional hazards modelInternal medicineHazard ratioGraft-versus-host diseaseCumulative incidenceHematopoietic stem cell transplantationMultivariate analysisSurvival analysisTransplantationOncologySurgeryConfidence interval

Abstract

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Abstract Introduction: Chronic graft versus host disease (cGVHD) is one of the major complications after allogeneic hematopoietic cell transplantation (allo-HCT). Several prognostic factors have been proposed to predict the outcomes of cGVHD including progressive type onset, extensive skin involvement, thrombocytopenia and NIH global score (NIH GS). Most studies have been focusing on the factors at the diagnosis of cGVHD without consideration of baseline characteristics prior to allo-HCT. We attempted to evaluate the prognostic factors for the outcomes of cGVHD treatment including the characteristics at the start of cGVHD treatment as well as prior to HCT. Method: We retrospectively reviewed 668 consecutive patients who underwent allo-HCT between 2004 and 2012 at the Princess Margaret Cancer Centre, Toronto, Canada, among whom 277 patients diagnosed as cGVHD and received systemic corticosteroids as a frontline cGVHD therapy. Chronic GVHD was classified and graded using the NIH consensus criteria. We evaluated non-relapse mortality (NRM), relapse and failure-free survival (FFS). FFS was defined as time to a switch in systemic therapy, NRM or relapse. The Kaplan-Meier method was used for FFS. The cumulative incidences of NRM, relapse and the treatment switch (TS) were calculated considering competing risks. Multivariate analysis was performed using the Cox proportional hazard regression model for FFS. Results: With a median follow-up duration of 26 months, the median time from HCT to cGVHD treatment was 183 days (range, 61-828). 102 patients (36.8%) were classified as classical cGVHD and 175 (63.2%) as overlap syndrome. At the start of cGVHD treatment 25 patients (9.0%) had mild cGVHD by the NIH GS, 189 (68.2%) moderate and 63 (22.7%) severe. Median age at allo-HCT was 51 year-old (range, 19-70). 162 patients (58.5%) were males and 65 (23.5%) patients were gender match of female donor to male recipient. 257 patients (92.8%) received peripheral blood stem cells (PBSC).175 grafts (63.2%) were from matched sibling donors (MSD). 180 patients (65%) received myeloablative conditioning. GVHD prophylaxis was calcineurin inhibitor (CNI) and methotrexate (n=82, 29.6%), CNI and mycophenolate mofetil (n=141, 50.9%), CNI and T-cell depletion (n=37, 13.5%) or others (n=17, 6.1%). The median FFS was 255 days (95% CI, 218-321). The severity of cGVHD, NIH GS correlated with FFS: median FFS was 164 days in severe vs 238 days in moderate vs 304 days in mild (p=0.001). The overlap syndrome was associated with a shorter FFS than classical cGVHD (223 vs 329 days, p=0.015). Patients receiving MSD graft showed longer FFS (329 days) than unrelated donor (196 days; p=0.004). The cumulative incidence of TS was 47.7% at 1 year. The NRM was 7.1% and relapse rate was 6.8% at 1 year. The MSD was associated with a lower 1-year NRM than the unrelated donors (4.2% vs 12.3%, p=0.003) while no difference between 2 groups for TS (p=0.731) or relapse at 1 year (p=0.565). Patients with overlap syndrome had higher NRM at 1 year than with classical cGVHD (10.0% vs 2.2%, p=0.009), but no differences in TS or relapse at 1 year (p=0.167 and p=0.138). Chronic GVHD severity by NIH GS showed a significant correlation with TS (28% in mild, 51.9% in moderate, and 43.8% in severe grade at 1 year, p=0.02) and NRM (4% in mild, 3.6% in moderate, and 19.1% in severe grade at 1 year, p<0.001), but with relapse (p=0.784). Multivariate analysis for FFS confirmed that the use of unrelated donor showed a worse FFS (hazard ratio (HR) 1.660, p=0.001). FFS was also associated with the severity of cGVHD, NCC GS (mild vs moderate vs severe; HR 1 vs 2.1 vs 2.9, p=0.002) and the cGVHD subtype (classical vs overlap, HR 1 vs 1.39, p=0.028). We then assigned score 0 for NIH GS mild, 1 for moderate, and 2 for severe; for NIH subtype, score 0 for classical and 1 for overlap; for donor types, score 0 for MSD and 1 for unrelated donors. After summation of the scores, we regrouped them into low (score 0, n=11, 3.9%), intermediate (score 1-2, n=168, 60.6%), and high risk groups (score 3-4, n=98, 35.3%). The risk stratification model correlated nicely with FFS (FFS duration, 1977 days in low vs 341 days in intermediate, and 150 days in high risk group, p<0.001). Conclusion: the use of unrelated donor, overlap subtype of chronic GVHD and severe grade of chronic GVHD at the time of initiation of chronic GVHD treatment affect adversely on failure-free survival. Disclosures Kim: Novartis Pharmaceuticals: Consultancy, Research Funding; Bristol-Myers Squibb: 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 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 score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.014
GPT teacher head0.235
Teacher spread0.221 · 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
Published2015
Admission routes2
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