MétaCan
Menu
Back to cohort
Record W3097480389 · doi:10.1182/blood-2020-140065

High Transfusion Dependence and Serum Ferritin but Not Transferrin Saturation Predict Inferior Clinical Outcomes in Patients with MDS

2020· article· en· W3097480389 on OpenAlexaffabout
Jennifer Teichman, Michelle Geddes, Nancy Zhu, Mary‐Margaret Keating, Mitchell Sabloff, Grace Christou, Brian Leber, Dina Khalaf, Ève St‐Hilaire, Nicholas Finn, April Shamy, Karen Yee, John M. Storring, Thomas J. Nevill, Robert Delage, Mohamed Elemary, Versha Banerji, Lee Mozessohn, Lisa Chodirker, Liying Zhang, Mohammed Siddiqui, Anne Parmentier, Heather A. Leitch, Rena Buckstein

Bibliographic record

VenueBlood · 2020
Typearticle
Languageen
FieldMedicine
TopicHemoglobinopathies and Related Disorders
Canadian institutionsUniversity of British ColumbiaMcGill University Health CentreSunnybrook Health Science CentreJewish General HospitalSt. Paul's HospitalDr. Georges-L.-Dumont University Hospital CentreMcMaster UniversityHôpital de l'Enfant-JésusJuravinski Cancer CentreVancouver General HospitalUniversity of CalgaryPrincess Margaret Cancer CentreHealth Sciences CentreCancerCare ManitobaUniversity Health NetworkOttawa HospitalQueen Elizabeth II Health Sciences CentreUniversity of AlbertaUniversity of Toronto
Fundersnot available
KeywordsTransferrin saturationMedicineFerritinInternal medicineMyelodysplastic syndromesGastroenterologyAnemiaImmunologySerum ferritinBone marrow

Abstract

fetched live from OpenAlex

Intro: Iron overload (IO) reflected by elevated serum ferritins is associated with increased mortality in patients with myelodysplastic syndromes (MDS) with a threshold effect seen above 1000 ug/ml (Malcovati, JCO 2005). Ferritin is elevated due to transfusions, inflammation and ineffective erythropoiesis but is an imperfect metric of true iron overload. Elevated levels of oxidatively damaging non-transferrin bound iron (NTBI) and labile plasma iron (LBI) are not easily measured but correlate with transferrin saturation (TSAT) >70% and >80% respectively (de Swart, Haematological 2018). The relationship of TSAT with ferritin and MDS-related clinical outcomes has not been well-characterized. Objectives: We aimed to describe temporal trends in TSAT according to transfusion dependence and to determine if elevated TSAT correlates with ferritin levels, and/or predicts for clinical outcomes such as survival, infectious death and cardiac death in patients with MDS. Methods: Adult patients enrolled in the Canadian national MDS registry over 11.5 years and 15 centers were evaluated retrospectively. Mean, median and ranges for ferritin and TSAT were calculated at six (+/- 3) month intervals. General linear mixed model analysis with repeated measures per subject was used to evaluate changes in ferritin and TSAT over time. Transfusion density (TD) was calculated at landmark year 1 and 2 and was defined as the total number of units transfused/months elapsed since commencing transfusion dependence, with TD-low and TD-high defined as above or below median. Log-rank tests were used to detect survival differences among three transfusion groups (transfusion independent [TI], TD-low and TD-high), among three TSAT groups (TSAT <50%, 50-80% and >80% at enrolment), and among three ferritin groups (≤500ug/mL, 501-1000ug/mL and >1000ug/mL at enrolment). Results: A total of 718 patients from the MDS-CAN registry were included in the analysis. Patient characteristics including demographics, clinical and laboratory characteristics are summarized in Table 1. With a median follow up of 2.1 years, actuarial OS was 2.4 years. 17% developed AML and 61% of patients have died. AML, progressive disease, infection, cardiac causes, bleeding accounted for 26%, 20%, 19%, 9.6% and 6.34% of known causes of death respectively. 56% experienced infections (median 2/patient), 7% experienced a cardiac event and 43% were hospitalized at least once. Ferritin and TSAT were moderately correlated over time (r=0.63, p < 0.0001) (Figure 1A) with only 39% of all ferritins >1000ug/mL associating with a TSAT of >80%. The relationship between the 2337 serum ferritins (recorded over 42 months) and TSAT is shown in Figure 1B. Among all patients, ferritin significantly increased from enrolment up to 42 months (p<0.0001), however TSAT remained stable over time (p=0.094). There was a small but significant increase in TSAT over time only in TD patients at enrolment (p=0.0148). Transfusion dependence remained stable over time, with a median of 2.7 and 2.3 units transfused/month by landmark years 1 and 2. 5-year OS was 52% (95%CI 45-60%), 44% (95%CI 35-55%) and 25% (95%CI 18-34%) among TI patients, low-TD patients, and high-TD patients, respectively (Figure 2A). 5-year leukemia-free survival (LFS) rates among these three groups were 85% (95%CI 79-90%), 78% (95%CI 70-86%) and 73% (95%CI 62-85%), respectively with no major differences between TD-low and TD-high. Transfusion dependence (ever vs. never TD) was significantly associated with infectious deaths (p=0.0411) but not with cumulative cardiac events (p=0.4726) regardless of iron chelation status. TSAT category was not significantly associated with 5-year OS (Figure 2B), LFS, PFS or cardiac events. Conversely, ferritin category was significantly associated with 5-year OS (Figure 2C) and PFS, but not with LFS or cardiac events. Conclusion: Among a cohort of predominantly low-intermediate risk MDS patients, TSAT correlated only moderately with serum ferritins. TD patients, and in particular high transfusion-burden TD patients have inferior clinical outcomes compared to TI or low-transfusion burden TD patients. Further analyses to probe these relationships are ongoing including the effect of TSAT and iron chelation therapy on infectious deaths, and a multivariate analysis adjusting for other covariates. Disclosures Geddes: Alexion: 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; Takeda: Honoraria, Membership on an entity's Board of Directors or advisory committees; Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding. Keating:Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Seattle Genetics: Consultancy; Sanofi: Membership on an entity's Board of Directors or advisory committees; Merck: Membership on an entity's Board of Directors or advisory committees; Janssen: 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; Takeda: Honoraria, Membership on an entity's Board of Directors or advisory committees; Novartis: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Taiho: Membership on an entity's Board of Directors or advisory committees; Servier: Membership on an entity's Board of Directors or advisory committees; Shire: Membership on an entity's Board of Directors or advisory committees. Leber:Otsuka Pharmaceutical: Honoraria, Membership on an entity's Board of Directors or advisory committees; Pfizer: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Novartis: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Abbvie: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; BMS/Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees; Amgen: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Treadwell: Honoraria, Membership on an entity's Board of Directors or advisory committees; Takeda/Palladin: 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; Lundbeck: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Janssen: Honoraria, Membership on an entity's Board of Directors or advisory committees. Shamy: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. Storring: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. Nevill:Alexion: Honoraria, 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, Research Funding; Novartis: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Jazz Pharmaceuticals: Honoraria. Delage:Novartis: Honoraria, 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, Research Funding. Elemary: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. Chodirker:Hoffman Laroche: Honoraria. Leitch:AbbVie: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Alexion: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; BMS: Honoraria, 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, Research Funding; Janssen: 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; Taiho: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Exjade: Speakers Bureau. Buckstein:Astex: Honoraria; Celgene: Honoraria; Takeda: Research Funding; Celgene: Research Funding; Novartis: Honoraria.

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)0.001
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 score0.063
Threshold uncertainty score0.126

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.011
GPT teacher head0.240
Teacher spread0.228 · 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".

Quick stats

Citations1
Published2020
Admission routes2
Has abstractyes

Explore more

Same venueBloodSame topicHemoglobinopathies and Related DisordersFrench-language works237,207