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Improved Survival with Iron Chelation Therapy for Lower IPSS Risk MDS Appears to Have a Stronger Association in Patients with a Non-RARS Diagnosis

2011· article· en· W2562380517 on OpenAlexaff
Heather A. Leitch, Christopher T. Chan, Chantal S. Leger, Lynda Foltz, Khaled M. A. Ramadan, Linda M. Vickars

Bibliographic record

VenueBlood · 2011
Typearticle
Languageen
FieldMedicine
TopicHematological disorders and diagnostics
Canadian institutionsSt. Paul's HospitalQueen's UniversityUniversity of British Columbia
Fundersnot available
KeywordsMedicineInternal medicineMyelodysplastic syndromesConcomitantInternational Prognostic Scoring SystemRetrospective cohort studyHematologyChelation therapyGastroenterologySurgeryBone marrowThalassemia

Abstract

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Abstract Abstract 1732 Background: Several retrospective analyses suggest that transfusional iron overload portends inferior survival in lower risk MDS and that iron chelation therapy (ICT) is associated with improved survival in this group of patients. However an analysis of 126 patients with RARS from the Mayo Clinic showed no association between elevated ferritin level at diagnosis or transfusion burden on overall survival (OS). We performed a retrospective analysis of 268 MDS patients seen at our center to determine whether an association between transfusional iron overload or receiving iron chelation therapy (ICT) and survival differed between RARS and other lower risk MDS. Methods: Patients were identified from the clinical database of the hematology practice. Patients with a diagnosis (dx) of MDS confirmed by bone marrow biopsy (bmbx) were included. Clinical and laboratory data were collected by retrospective chart review. Survival analyses were performed using SPSS version 19. Results: 268 patients with a bmbx confirmed diagnosis of MDS by WHO or FAB criteria were identified. The following patients were excluded: uncertain IPSS score, n=35; intermediate-2 risk, n=33; high risk, n=16; RAEB-t, n=3; concomitant diagnosis of advanced stage non-Hodgkin lymphoma of uncertain type, n=1. The remaining 182 patients had the following characteristics: median age 69.5 (range 30–94) years and 109 (69.9%) were male. Specific MDS dx were: RA, n=27; RARS, n=53; RCMD, n=34; RAEB, n=15; MDS-U, n=22; hypocellular MDS, n=6; 5Q- syndrome, n=6; CMML, n=21. IPSS scores for all patients were: intermediate-1, n=101; low, n=74; uncertain (but IPSS score not >1.0), n=7. The marrow blast count was 6–9 x109/L in 4 patients and <5 x109/L in all others. Specific MDS treatment (rx) was: supportive care, n=82; erythropoiesis stimulating agents (ESA), n=22; immunosuppressive therapy (IST), n=10; lenalidomide, n=7; and chemotherapy, n=6. 137 patients received RBC transfusions and 38 received ICT: deferasirox (DFX), n=19; deferoxamine (DFO), n=9; DFO followed by DFX, n=9; and DFX followed by DFO, n=1. The median duration of ICT was 10.5 (range 0.5–64) months. Clinical features significantly associated with OS in univariate analyses of all 182 patients included: specific MDS dx; IPSS score; total number of red blood cell (RBC) units transfused over the course of follow-up; receiving ICT; specific MDS rx received; requirement for hospitalization; experiencing at least one episode of infection; and AML transformation (P</=0.01 for all); serum ferritin level >1000ng/mL was not significant in this analysis (P=not significant [NS]). In a multivariate analysis (MVA), the following factors remained significant for OS: specific MDS dx; IPSS score; receiving ICT; specific MDS rx; and AML transformation (P</=0.01 for all). In an MVA stratified for RARS, significant were: specific MDS dx (P<0.0001); IPSS score (P=0.005); specific MDS rx (P=0.038) and receiving ICT (P=0.039). At a median follow-up of 28 (0.1–245.9) months, 121 patients were alive (non-RARS, n=83 [64.3%]; RARS, n=38 [71.6%]) and the projected median OS for all patient was 99 months. The projected median OS for non-RARS patients without ICT and with ICT was 44 months and not reached (NR), respectively, and for RARS without and with ICT was 99 and 134.4 months (P<0.0001). The 5 year OS in these four groups was 39.2% and 91.7% (P=0.04); and 72.4% and 76.3%, respectively (P=NS). However, when RARS ICT patients were compared to only RBC transfusion dependent RARS patients not receiving ICT, the median OS was 73.8 vs 134.4 months, respectively, and 5 year OS was 59.9% and 76.3%, respectively (P=0.025). Conclusions: These results suggest an association between receiving iron chelation therapy and survival in lower IPSS risk MDS, in keeping with prior analyses. However, the association between ICT and OS in non-RARS MDS appeared to be stronger than in RARS, in keeping with data from Mayo suggesting transfusional iron overload may not have a major association with outcome in RARS. The median follow-up in the current study was just over 2 years, and median duration of ICT only 10.5 months; longer follow-up may be needed in RARS to determine whether ICT is potentially beneficial in this subgroup of patients with a relatively long expected survival. As with all retrospective analyses, these results must be considered hypothesis generating, and prospective trials are needed for firm conclusions to be drawn. Disclosures: Leitch: Novartis Corporation: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau. Off Label Use: Iron chelation agents for the treatment of transfusional iron overload in MDS. Vickars:Novartis Corporation: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding.

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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 score0.014
Threshold uncertainty score0.413

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 head0.013
GPT teacher head0.226
Teacher spread0.213 · 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 routes1
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