Development and Validation of a Prognostic Score Involving Disease Status, Patient Age and Donor Type for Outcomes of Allogeneic Hematopoietic Cell Transplantation in Patients with Acute Myeloid Leukemia
Bibliographic record
Abstract
Abstract Allogeneic hematopoietic cell transplantation (HCT) is a curative treatment option for acute myeloid leukemia (AML) when indicated. Numerous pre-transplant risk scores have been developed to predict post-transplant outcome, utilizing a variety of parameters. The purpose of this single-center study was to retrospectively develop and validate a prognostic score based on known significant pre-transplant variables for outcomes of 747 patients that underwent HCT for AML between 1978 and 2013. Median age of all patients at transplant was 44 years (range 17-71 years), 391 patients (52%) were female. HCT was performed in first complete remission (CR1) for 497 patients (67%) and in second complete remission (CR2) or advanced disease for 250 patients (33%). Donors were related for 538 patients (72%) and unrelated for 209 patients (28%). Peripheral blood stem cells (PBSC) were used as a graft source in 367 patients (49%). Myeloablative conditioning (MAC) was administered to 615 (82%) patients, 132 (18%) received reduced-intensity conditioning (RIC) regimens. HCT was performed over the time periods 1978-1990 (n=139), 1991-1999 (n=192), 2000-2006 (n=183) and 2007-2013 (n=233). Median follow-up of survivors was 90 months. Patients were assigned a combined score based on patient age, disease status and donor status. For disease status CR1, age <45 years and related donors, each parameter received a score 0. For disease status CR2 or advanced stage, age ≥45 and unrelated donors, each parameter received a score 1. Patients demonstrated a cumulative score of 0 (n=197), 1 (n=326), 2 (n=179) or 3 (n=45). All 747 patients were randomized into two groups, a test cohort (n=373) and a validation cohort (n=374). Univariate analysis for the test cohort demonstrated a favorable risk group with score 0 (n=92), an intermediate risk group of score 1-2 (n=255) and an unfavorable risk group with score 3 (n=26) with a 5-year overall survival (OS) of 61%, 35% and 20% respectively (p=0.0001)(Figure). Cumulative incidence of relapse (CIR) demonstrated a marginally significant difference between groups (p=0.05) with 5-year CIR 14%, 28% and 23% respectively. Non-relapse mortality (NRM) was marginally different (p=0.07) with 5-year NRM 27%, 39% and 54% respectively. Multivariable analysis of the test cohort for OS demonstrated that the presented scoring system remained significantly prognostic (p<0.0001) accounting for year of transplant as a continuous variable in the analysis (p=0.001, HR for transplant year 0.97, 95%CI 0.96-0.98). For OS, HR was 2.3 and 4.0 for the intermediate and high risk group respectively compared to favorable risk. For CIR, HR was 2.1 and 1.8 for intermediate and high risk patients respectively (p=0.05). For NRM, HR was 1.5 and 2.8 for intermediate and high risk patients respectively (p=0.01). Analysis of the validation cohort confirmed significant stratification for OS on univariate (p<0.0001, 5-year OS 68%, 36% and 30% for the three risk groups respectively) and multivariable analysis (p<0.0001). For CIR, no significant difference was seen on univariate (p=0.3, 5-year CIR 15%, 23% and 17% respectively) or multivariable analysis (p=0.3). For NRM, the validation cohort confirmed significant stratification between the risk groups on univariate (p<0.0001, 5-year NRM 19%, 42% and 48% respectively) and multivariable analysis (p<0.0001). In the presented study we developed and validated this readily calculable pre-transplant scoring system involving age, CR status and donor type which is highly prognostic for OS and NRM of patients undergoing allogeneic HCT for AML. We also demonstrated that the year transplant was performed over the last three decades had no influence on the prognostic significance of the scoring system. Figure 1 Figure 1. Disclosures Messner: Otsuka Pharmaceuticals Inc: Research Funding.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".