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Record W2983205654 · doi:10.1182/blood-2019-123684

Persistent Red Blood Cell (RBC) Transfusion Is Associated with Increased Mortality Risk in Transfusion-Dependent (TD) Patients with Myelodysplastic Syndromes (MDS) with Ring Sideroblasts (RS+)

2019· article· en· W2983205654 on OpenAlexaffabout
Rena Buckstein, Nancy Zhu, Mary‐Margaret Keating, Brian Leber, Lisa Chodirker, Mitchell Sabloff, Grace Cristou, Heather A. Leitch, Eve St. Hilaire, Nicholas Finn, Karen Yee, Mohamed Elemary, Versha Banerji, Martha Lenis, Aksharh Kirubananthaan, Fei‐Fei Liu, Derek Tang, Chris Westcott, Vicky Huang, Di Wang, Chris Cameron, Jessica Morison, Paul Spin, Alexandre Mamedov

Bibliographic record

VenueBlood · 2019
Typearticle
Languageen
FieldMedicine
TopicAcute Myeloid Leukemia Research
Canadian institutionsPrincess Margaret Cancer CentreAlberta Hospital EdmontonUniversity of British ColumbiaUniversity of OttawaDr. Georges-L.-Dumont University Hospital CentreSt. Paul's HospitalMcMaster UniversityQueen Elizabeth II Health Sciences CentreCancerCare ManitobaUniversity of Alberta HospitalHealth Sciences CentreUniversity of TorontoJuravinski Cancer CentreSunnybrook Health Science Centre
Fundersnot available
KeywordsMedicineInternational Prognostic Scoring SystemInternal medicineMyelodysplastic syndromesComorbidityBlood transfusionAnemiaPopulationBone marrow

Abstract

fetched live from OpenAlex

Introduction: Patients with lower-risk (LR) MDS, defined as very low-, low-, and intermediate-risk by the Revised International Prognostic Scoring System (IPSS-R), have a reduced risk of progressing to acute myeloid leukemia compared with higher-risk patients, but a shortened overall survival (OS) compared with age-matched controls. MDS patients with RS have a better prognosis than those without RS, but may experience extended periods of RBC transfusion dependence. RBC transfusion dependence is associated with reduced OS in patients with LR-MDS, but studies focusing on RBC transfusion dependence and OS in RS+ MDS patients are lacking. To address this gap, data from the Canadian MDS Registry were used to assess the relationship between RBC transfusion dependence patterns and OS in this patient population. Methods: Patients with a diagnosis of RS+ MDS who were identified as transfusion dependent (TD) in the Canadian MDS Registry from 2008 to 2019 were included. Patients were considered TD if they received ≥ 1 RBC transfusion in at least one 8-week cycle. A sensitivity analysis was conducted wherein patients were considered TD if they received ≥ 1 RBC transfusion for 2 consecutive 8-week cycles. Patients were considered persistently TD (PTD) if they were TD throughout follow-up, or intermittently TD (ITD) if they were transfusion independent for periods of ≥ 8 weeks after an initial onset of TD. Covariates that were assessed included age, sex, IPSS-R risk score at enrollment, Eastern Cooperative Oncology Group performance status score at enrollment, ferritin level at first TD onset, Charlson Comorbidity Index at first TD onset, and receipt of iron chelation and anemia-treating therapies at first TD onset. Cox proportional hazards regression was used to test the association between PTD and mortality risk. Treatment patterns during follow-up were also examined. Results: Between 2008 and 2019, 191 patients had a diagnosis of RS+ MDS, of which 107 required ≥ 1 RBC transfusion over at least one 8-week cycle during follow-up. Of the 107 patients who received ≥ 1 RBC transfusion, 71 had ≥ 2 assessments for transfusion dependence and complete data on all outcomes and covariates, 36 (50.7%) of whom were classified as PTD (Table 1). Compared with ITD patients, PTD patients were older (mean age ± standard deviation [SD]: 75.11 ± 8.34 vs 69.59 ± 13.33 years) and had higher IPSS-R risk (17% of PTD patients were intermediate- or higher-risk compared with 3% of ITD patients). Median OS from first TD onset was 18.7 months (95% confidence interval [CI] 11.3-46.9) for PTD patients, compared with 48.7 months (95% CI 39.0-not evaluable) for ITD patients (Figure). After adjusting for baseline covariates, being PTD was associated with significantly greater mortality risk than being ITD (hazard ratio [HR] 2.24, 95% CI 1.18-4.25). Similar results were observed for the sensitivity analysis requiring ≥ 1 RBC transfusion for 2 consecutive 8-week cycles prior to the onset of TD (HR 2.18, 95% CI 1.13-4.21). Compared with ITD patients, PTD patients were less likely to receive iron chelation therapies (42% vs 54%), erythropoiesis-stimulating agents (25% vs 40%), and lenalidomide (14% vs 20%) during follow-up (Table 2). Conclusions: In this study, we extracted Canadian MDS Registry data on RBC transfusions and OS for MDS patients with RS+ MDS. More than half (50.7%) of the identified cohort became TD during follow-up. Among those who received RBC transfusions, PTD patients had significantly shorter OS and increased mortality risk compared with ITD patients, and RBC transfusion dependence independently predicted inferior outcomes. These conclusions are consistent with previous findings on the relationship between RBC transfusions and OS in all patients with LR-MDS. Disclosures Buckstein: Takeda: Research Funding; Celgene: Consultancy, Honoraria, Research Funding. Keating:Celgene: Membership on an entity's Board of Directors or advisory committees; Novartis: Honoraria; Seattle Genetics: Consultancy; Janssen: Membership on an entity's Board of Directors or advisory committees; Shire: Membership on an entity's Board of Directors or advisory committees; Hoffman La Roche: Membership on an entity's Board of Directors or advisory committees; Sanofi: Membership on an entity's Board of Directors or advisory committees. Leber:Novartis: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Pfizer: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Celgene Corporation: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; AbbVie: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Astellas: Honoraria, Membership on an entity's Board of Directors or advisory committees; Jazz: Honoraria, Membership on an entity's Board of Directors or advisory committees; Alexion: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau. Sabloff:Pfizer Canada:: Honoraria, Membership on an entity's Board of Directors or advisory committees; Jazz Pharmaceuticals: Honoraria, Membership on an entity's Board of Directors or advisory committees; Sanofi Canada: Research Funding; Novartis Pharmaceuticals: Honoraria, Membership on an entity's Board of Directors or advisory committees; ASTX: Membership on an entity's Board of Directors or advisory committees, Research Funding; Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees; Astellas Pharma Canada: Honoraria, Membership on an entity's Board of Directors or advisory committees; Actinium Pharmaceuticals, Inc: Membership on an entity's Board of Directors or advisory committees. Leitch:Novartis: Honoraria, Research Funding, Speakers Bureau; Otsuka: Honoraria; Alexion: Research Funding; AbbVie: Research Funding; Celgene Corporation: Honoraria, Research Funding. St. Hilaire:Celgene: Honoraria, Research Funding; Novartis: Honoraria, Research Funding. Finn:Takeda: Membership on an entity's Board of Directors or advisory committees; Sanofi: Membership on an entity's Board of Directors or advisory committees; Ipsen: Membership on an entity's Board of Directors or advisory committees; Lundbeck: Membership on an entity's Board of Directors or advisory committees; Janssen: Membership on an entity's Board of Directors or advisory committees; Amgen: Membership on an entity's Board of Directors or advisory committees; Pfizer: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Roche: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Boehringer Ingelheim: Research Funding; Novartis: Honoraria, Membership on an entity's Board of Directors or advisory committees; Merck: Research Funding; Alexion: Membership on an entity's Board of Directors or advisory committees; Astra Zeneca: Membership on an entity's Board of Directors or advisory committees; Celgene: Honoraria; Bristol Myers Squibb: Honoraria, Membership on an entity's Board of Directors or advisory committees. Yee:Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Novartis: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Astex: Research Funding; Hoffman La Roche: Research Funding; MedImmune: Research Funding; Pfizer: Honoraria, Membership on an entity's Board of Directors or advisory committees; Merck: Research Funding; Millennium: Research Funding; Astellas: Membership on an entity's Board of Directors or advisory committees; Takeda: Membership on an entity's Board of Directors or advisory committees. Banerji:Janssen: Consultancy, Honoraria, Research Funding; Research Manitoba: Research Funding; CAPhO: Honoraria; BIOGEN: Other: Licensing fee; CancerCare Manitoba/University of Manitoba: Employment; CIHR: Research Funding; Dana-Farber Cancer Institute: Other: Licencing fee; CCMF: Research Funding; Abbvie: Consultancy, Honoraria; Gilead: Consultancy, Honoraria, Research Funding; Astra-Zeneca: Consultancy, Honoraria; LLSC: Research Funding; Roche: Honoraria, Licensing fee, Research Funding. Liu:Celgene Corporation: Employment. Tang:Celgene Corporation: Employment, Equity Ownership. Westcott:Celgene Corporation: Employment, Equity Ownership. Huang:Celgene Corporation: Employment. Wang:Cornerstone Research Group: Employment. Cameron:Cornerstone Research Group: Employment, Equity Ownership. Morison:Celgene Corporation: Employment. Spin:Cornerstone Research Group: Employment.

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)0.002
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 score0.111
Threshold uncertainty score0.221

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.009
GPT teacher head0.215
Teacher spread0.206 · 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
Published2019
Admission routes2
Has abstractyes

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