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Record W3211809470 · doi:10.1182/blood-2021-147294

Characterizing Iron Overload By Age in Patients Diagnosed with Pyruvate Kinase Deficiency - a Descriptive Analysis from the Peak Registry

2021· article· en· W3211809470 on OpenAlexaff
Paola Bianchi, Rachael F. Grace, Joan‐Lluís Vives Corrons, Bert Glader, Andreas Glenthøj, Hitoshi Kanno, Kevin H.M. Kuo, C. Chacín Lander, D. Mark Layton, Dagmar Pospı́šilová, Vip Viprakasit, Jean Williams, Yan Yan, Bryan McGee, Eduard J. van Beers

Bibliographic record

VenueBlood · 2021
Typearticle
Languageen
FieldMedicine
TopicErythrocyte Function and Pathophysiology
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMedicineCohortPediatricsFerritinPhlebotomyDeferasiroxInternal medicineAnemiaThalassemia

Abstract

fetched live from OpenAlex

Abstract Background: Pyruvate kinase (PK) deficiency is a rare, congenital, glycolytic enzyme defect that leads to chronic hemolytic anemia. Despite existing supportive therapies, many patients (pts) experience significant complications, including iron overload (FeO). FeO in PK deficiency is clinically underappreciated and may cause long-term organ damage and impact growth in children and adults. Objective: To describe characteristics and disease burden of pts with PK deficiency and a history of FeO by age group (pediatric cohort, <18 years [yrs]; adult cohort, ≥18 yrs) enrolled in the Peak Registry (NCT03481738). Methods: The Peak Registry is an ongoing, global retrospective and prospective observational study of adult and pediatric pts diagnosed with PK deficiency. For this analysis, pts were considered to have a history of FeO if they had ever received 1) chelation therapy; or 2) phlebotomy for removal of iron; or within 3 months of enrollment had 3) ferritin >1000 ng/mL; or 4) liver MRI >3 mg Fe/g dry weight; or 5) FerriScan® >3 mg Fe/g dry weight; or 6) cardiac T2* MRI ≤20 ms. Data on demographics, medical history, treatment, clinical assessment, and laboratory testing collected at study enrollment were summarized descriptively among pts with a history of FeO. Results: As of the 24Mar2020 data cut, 57/140 (40.7%) enrolled pts had a history of FeO (adult cohort N=28; pediatric cohort N=29); data from these 57 pts were used for this analysis. Average age at enrollment for adult and pediatric cohorts was 37.3 yrs (standard deviation [SD]: 14.80) and 7.7 yrs (SD: 4.64), respectively. PKLR genotype information was available for 21 adult and 15 pediatric pts; among the 21 adults, 13 (61.9%) had two missense mutations (M/M), 7 (33.3%) had one missense/one non-missense mutation (M/NM), and 1 (4.8%) had two non-missense mutations (NM/NM); among the 15 pediatric pts, 3 (20%) had M/M, 7 (46.7%) had M/NM, and 5 (33.3%) had NM/NM (Table). Among pts with known transfusion status, 6/56 FeO pts (10.7%) had never received a transfusion, with all other pts having received ≥1 prior transfusion (ever-transfused). Median hemoglobin (Hb) level at the time of enrollment was 8.6 g/dL (range: 6.7-12.5) in ever-transfused adults and 10.9 g/dL (9.3-11.3) in never-transfused adults. In pediatric pts (all ever-transfused), median Hb at enrollment was 8.3 g/dL (6.8-10.8). Most ever-transfused pts had received chelation therapy (18/20 [90.0%] adults, 28/29 [96.6%] pediatrics). Of the 6 pts who had never been transfused, 3 (50.0%) had received chelation therapy. Transfusion details for the 12 months prior to enrollment were available for 23 adults, of whom 5 (21.7%) had been regularly transfused (≥6 transfusions) and 18 (78.2%) had not been regularly transfused (0-5 transfusions); in the pediatric cohort (n=24), 8 (33.3%) pts had been regularly transfused and 16 (66.7%) had not. In the prior 12 months, regularly transfused adult and pediatric pts each received an average of about 10 transfusions whereas non-regularly transfused adult and pediatric pts received about 1 transfusion (Table). Additionally, 24/28 (85.7%) adult and 15/29 (51.7%) pediatric pts with FeO had a splenectomy, with median age at splenectomy of 6.5 yrs (range: 1-23 yrs) for the adult cohort and 6.0 yrs (4-12 yrs) for the pediatric cohort. Chelation therapy had been utilized by 20/23 (87.0%) splenectomized adults and 2/4 (50.0%) non-splenectomized adults, while 15/15 (100.0%) splenectomized pediatric pts and 13/14 (92.9%) non-splenectomized pediatric pts had received chelation therapy. Conclusion: These data indicate that FeO is a common complication affecting around 40% of PK deficient pts in this cohort, regardless of age, genotype, transfusion status, or severity. While a large proportion of these pts with PK deficiency and FeO have a high transfusion burden and/or have been splenectomized, FeO still occurs in both adult and pediatric pts without splenectomies, in pts who are not regularly transfused, and even in those who have never been transfused. This analysis supports the need for an initial evaluation and regular monitoring of FeO in all pts with PK deficiency, independent of transfusion status, splenectomy history, or genotype, starting early in life and continuing throughout adulthood. The longitudinal (up to 9 yrs) design of the Peak Registry will allow for continued monitoring and follow-up of FeO and related long-term complications in pts with PK deficiency. Figure 1 Figure 1. Disclosures Bianchi: Agios pharmaceutics: Consultancy, Membership on an entity's Board of Directors or advisory committees. Grace: Novartis: Research Funding; Principia: Membership on an entity's Board of Directors or advisory committees; Dova: Membership on an entity's Board of Directors or advisory committees, Research Funding; Agios: Research Funding. Glader: Agios: Consultancy. Glenthøj: Novo Nordisk: Honoraria; Agios: Consultancy, Membership on an entity's Board of Directors or advisory committees; Novartis: Consultancy, Membership on an entity's Board of Directors or advisory committees; bluebird bio: Consultancy, Membership on an entity's Board of Directors or advisory committees; Celgene: Consultancy, Membership on an entity's Board of Directors or advisory committees; Alexion: Research Funding. Kuo: Bluebird Bio: Consultancy; Pfizer: Consultancy, Research Funding; Alexion: Consultancy, Honoraria; Agios: Consultancy, Membership on an entity's Board of Directors or advisory committees; Celgene: Consultancy; Novartis: Consultancy, Honoraria; Bioverativ: Membership on an entity's Board of Directors or advisory committees; Apellis: Consultancy. Lander: Agios: Other: PK Deficiency Patient Advocacy Advisory Council - patient representative. Layton: Novartis: Consultancy, Membership on an entity's Board of Directors or advisory committees; Agios Pharmaceuticals: Consultancy, Membership on an entity's Board of Directors or advisory committees; Cerus: Membership on an entity's Board of Directors or advisory committees. Viprakasit: Agios: Consultancy, Research Funding; Vifor Pharma: Consultancy, Research Funding; Bristol-Myers Squibb: Consultancy, Honoraria, Research Funding, Speakers Bureau; Protagonist Therapeutics: Consultancy, Research Funding; Ionis Pharmaceuticals,: Consultancy, Research Funding; La Jolla Pharmaceuticals: Consultancy, Research Funding. Williams: Agios: Current Employment, Current holder of stock options in a privately-held company. Yan: Agios: Consultancy. McGee: Agios Pharmaceuticals: Current Employment, Current equity holder in publicly-traded company. Van Beers: Agios Pharmaceuticals: Membership on an entity's Board of Directors or advisory committees, Research Funding; Novartis: Research Funding; Pfizer: Research Funding; RR Mechatronics: Research Funding.

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 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 score0.130
Threshold uncertainty score0.392

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.011
GPT teacher head0.215
Teacher spread0.203 · 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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Citations0
Published2021
Admission routes1
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