Stable Long-Term Risk of Leukemia in Patients with Severe Congenital Neutropenia Maintained On G-CSF Therapy.
Bibliographic record
Abstract
Abstract Abstract 3206 Poster Board III-143 BACKGROUND G-CSF therapy reduces sepsis mortality in patients with severe congenital neutropenia (SCN), but effective therapy has revealed a high syndromic predisposition to myelodysplastic syndrome and acute myeloid leukemia (MDS/AML), particularly in patients who require higher doses of G-CSF. Although the long-term risk of MDS/AML after 10 or more years on therapy remains uncertain, prior data on the limited number of patients with long-term follow-up suggested the hazard rate might be as high as 8%/year after 12 years on G-CSF. METHODS We updated prospective follow-up of 374 well-characterized patients with SCN on long-term G-CSF enrolled in the Severe Chronic Neutropenia International Registry (Blood. 2006 Jun 15; 107(12):4628-35). We ascertained event-free time, deaths from sepsis, and MDS/AML events that accrued since our previous report. Follow-up was censored for patients who received a bone marrow transplant. RESULTS The update yielded 3590 person-years of follow-up versus 2043 in the prior report; among patients treated for 10 or more years, there were 849 person-years versus just 67 previously. In all, there were 61 MDS/AML events and 29 deaths from sepsis, versus prior totals of 44 and 19, respectively. After including up-to-date follow-up, the estimated annual hazard of death from sepsis remained qualitatively stable, at 0.81%/year (95% Confidence Interval, CI: 0.56 – 1.16%/year). Similarly, during the first five years after the start of G-CSF therapy, the updated estimate of the hazard curve for MDS/AML showed the same increasing trend as the previous estimate. However, in contrast to the prior estimate that showed a subsequent increasing trend over time (with a large margin of error), the updated hazard curve attained a plateau: after 10 years on G-CSF, the estimated hazard of MDS/AML was 2.3%/year (95% CI: 1.7 – 2.9%/year). Although this aspect of the natural history appears less dire than first suggested, after 15 years on G-CSF, the cumulative incidence was 10% (95% CI: 6 – 14%) for death from sepsis and 22% (95% CI: 17 – 28%) for MDS/AML. Furthermore, for the subset of patients who failed to achieve at 6 months an absolute neutrophil count at or above the median value for the cohort (2188 cells/μL) despite doses of G-CSF at or above the median (8 μg/kg/day), the cumulative incidence after 15 years on G-CSF was 18% (95% CI: 7 – 28%) for death from sepsis and 34% (95% CI: 21 – 47%) for MDS/AML. With additional follow-up, the association of G-CSF dose at 6 months with the relative hazard of MDS/AML became more strongly statistically significant (P = 0.003 versus P = 0.024; the hazard of MDS/AML increased by 1.24-fold (95% CI: 1.08-1.43-fold) per doubling of the dose of G-CSF). CONCLUSIONS For SCN patients maintained on G-CSF therapy, the hazard of MDS/AML over the long-term falls significantly below the range suggested by preliminary data. The updated hazard estimate of 2.3%/year after 10 years on G-CSF (which includes both MDS and AML events) is similar to that for other inherited bone marrow failure syndromes with a high intrinsic risk of AML, notably Fanconi anemia and dyskeratosis congenita. Nonetheless, the cumulative incidence of both MDS/AML and sepsis death rises to very high levels, and the data continue to support the hypothesis that SCN patients with higher G-CSF requirements are also at higher risk of leukemia. Disclosures Boxer: Amgen Inc.: Equity Ownership. Dale:Amgen Inc.: Consultancy, Honoraria, Research Funding, Speaker.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".