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Initial Transfusion Rate Predicts Survival in MDS

2011· article· en· W2532528872 on OpenAlexaffabout
Lap Shu Alan Chan, Roman M. Shapiro, Rena Buckstein, Yulia Lin, Jeannie Callum, Lisa Chodirker, Christina D. Lee, Adam Lam, Alexandre Mamedov, Richard A. Wells

Bibliographic record

VenueBlood · 2011
Typearticle
Languageen
FieldMedicine
TopicHematological disorders and diagnostics
Canadian institutionsHealth Sciences CentreSunnybrook Health Science Centre
Fundersnot available
KeywordsMedicineInternal medicineBlood transfusionMyelodysplastic syndromesDiseaseInternational Prognostic Scoring SystemBone marrow

Abstract

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Abstract Abstract 2791 Introduction: Most MDS patients require chronic red blood cell (RBC) transfusion. Despite the immediate benefit of transfusion, transfusion dependence in MDS is a negative prognostic factor for overall survival. It has been suggested that transfusional iron overload, which is linked to toxicity through oxidative stress, contributes to poorer disease outcome and even to the progression of MDS to acute leukaemia. Alternatively, transfusion requirements may merely reflect disease severity in MDS and hence inferior disease outcome. To date, the exact relationship between transfusion, disease severity and outcome remains unclear. Nevertheless, aside from dependency, there are other essential aspects in transfusion medicine such as transfusion rate and patterns. We therefore examined the transfusion history of MDS patients to explore possible pathophysiological and prognostic values of these parameters. Methods: We performed retrospective single institution study of 40 consecutive chronically transfused patients between May 1998 and May 2011in the MDS program at the Odette Cancer Centre of Sunnybrook Hospital, Ontario, Canada. Median follow-up was 60 months. Median age was 72 years (range 28–88). 25 patients were male. WHO diagnostic categories were: 5q=2, CMML1=2, MDS/MPD=2, RA=2, RARS=1, RCMD=9, RCMD-RS=4, T-MDS=1, Unclassified=4, CMML2=2, RAEB1=2, RAEB2=4, AML=5. IPSS risk groups were: No score=5, low-risk=6, int-1=15, int-2=4, high-risk=10. 11 patients received iron chelation therapy. 20 patients received active treatment beyond transfusions. Results: Overall survival (OS) at 100 weeks was 54.1%. IPSS category (low/int-1 vs. int-2/high-risk) was a significant predictor of OS according to the Cox proportional-hazards regression (P<0.005, HR=7.39, median survival = 49 weeks for int-2/high-risk patients with 33.3% survival at 100 weeks, 69.4% survival at 100 weeks for low-risk/int-1 patients). To examine the prognostic importance of initial transfusion rate (ITR) in MDS we analyzed the total number of PRBC units transfused in the first 10 weeks after each patient became transfusion dependent to derive the ITR (unit PRBC/week, u/wk). In this way the patients were separated into two groups: low ITR (<1 u/wk, N=24, 73.2% survival at 100 weeks) and high ITR (≥1 u/wk, N=13, median survival at 58 weeks and 27% survival at 100 weeks). At week 10, we observed a divergence of the average transfusion history curves between the low and high ITR groups (Figure 1). Multivariate analysis identified ITR (P<0.0001, HR=18.6), IPSS (P<0.005, HR=15.2) and iron chelation (P<0.05, HR=11.4) as statistically significant predictors of overall survival. When analysis was limited to only those patients with IPSS low/int-1 risk categories (Figure 2), Cox regression revealed ITR as the sole predictor of OS (N=14 for low ITR group, 65.5% survival at 100 weeks; N=11 for the high ITR group, median survival at 24 weeks; P<0.05, HR=78.1). To examine possible dose-response trend related to ITR, the patients were re-organized into 3 groups: <0.5 u/wk (N=10, 90% survival at 100 weeks), ≥0.5 to <1 u/wk (N=14, 59.2% survival at 100 weeks) and ≥1 u/wk (N=13, median survival at 58 weeks and 27% survival at 100 weeks). A statistically significant trend was identified using the Logrank test for trend (P<0.005). Subsequent multivariate analysis identified ITR (P<0.0001, HR=10.5), IPSS (P<0.001, HR=18.7) and iron chelation (P<0.05, HR=23.0) as predictors of OS. After patients with IPSS from int-2/high-risk were removed from the analysis, ITR is the only predictor of OS (P<0.05, HR=48.8). Conclusions: The initial rate of RBC transfusion after onset of transfusion dependence is a powerful predictor of outcome in MDS and appears to be independent of WHO category or IPSS. Patients with high transfusion requirement (more than 1 u/wk) can be rapidly identified after they become transfusion dependent (as soon as 10 weeks). Although the pathophysiological basis of the link between ITR and disease outcome remains to be determined, and there is a need to validate this observation in an independent cohort, this parameter can be included in prognostic scoring systems for MDS. Patients with high ITR are likely to require additional treatments such as bone marrow transplantation or experimental therapies as soon as they are identified. Disclosures: No relevant conflicts of interest to declare.

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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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.056
Threshold uncertainty score0.476

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 head0.051
GPT teacher head0.276
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 teacher head, 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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Citations2
Published2011
Admission routes2
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