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Screening Patients with Myelodysplastic Syndrome and Aplastic Anemia for Paroxysmal Nocturnal Hemoglobinuria Clones: A Retrospective Study,

2011· article· en· W2980212795 on OpenAlexaffabout
Andrew W. Shih, Ian Chin‐Yee, Ben Hedley, Mike Keeney, Richard A. Wells, D. Robert Sutherland, Cyrus C. Hsia

Bibliographic record

VenueBlood · 2011
Typearticle
Languageen
FieldMedicine
TopicBlood groups and transfusion
Canadian institutionsVictoria HospitalHealth Sciences CentreUniversity of TorontoLondon Health Sciences CentreSunnybrook Health Science CentreWestern University
Fundersnot available
KeywordsParoxysmal nocturnal hemoglobinuriaBone marrow failureAplastic anemiaMedicineHemoglobinuriaMyelodysplastic syndromesclone (Java method)Bone marrowInternal medicineImmunologyAnemiaGastroenterologyStem cellHaematopoiesisBiology

Abstract

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Abstract Abstract 3426 Introduction: Paroxysmal Nocturnal Hemoglobinuria (PNH) is a rare disorder due to a somatic mutation in the hematopoietic stem cell. The introduction of highly sensitive flow cytometric and aerolysin testing have shown the presence of PNH clones in patients with a variety of other hematological disorders such as aplastic anemia (AA) and myelodysplasic syndrome (MDS). It is hypothesized that patients with these disorders and PNH clones may share an immunologic basis for marrow failure with relative protection of the PNH clone, due to their lack of cell surface expression of immune accessory proteins. This is supported by the literature showing responsiveness in AA and MDS to immunosuppressive treatments. Preliminary results from a recent multicenter trial, EXPLORE, notes that PNH clones can be seen in 70% of AA and 55% of MDS patients, and therefore there may be utility in the general screening of all patients with bone marrow failure (BMF) syndromes. Furthermore, it has been suggested that the presence of PNH cells in MDS is a predictive biomarker that is clinically important for response to immunosuppressive therapy. Methods: Our retrospective cohort study in a tertiary care center used a high sensitivity RBC and FLAER assay to detect PNH clones as small as 0.01%. Of all patients screened with this method, those with bone marrow biopsy and aspirate proven MDS, AA, or other BMF syndromes (defined as unexplained cytopenias) were analysed. Results from PNH assays were compared to other clinical and laboratory parameters such as LDH. Results: Overall, 102 patients were initially screened over a 12 month period at our center. 30 patients were excluded as they did not have biopsy or aspirate proven MDS, AA, or other BMF syndromes. Of the remaining 72 patients, four patients were found to have PNH clones, where 2/51 had MDS (both RCMD, IPSS 0) [3.92%] and 2/4 had AA [50%]. The PNH clone sizes of these four patients were 0.01%, 0.01%, 0.02%, and 1.7%. None of the MDS patients with known recurrent karyotypic abnormalities had PNH clones present. Only one of the four patients had a markedly increased serum LDH level. Conclusions: Our retrospective study indicates much lower incidence of PNH clones in MDS patients or any patients with BMF syndromes when compared to the preliminary data from the EXPLORE trial. There is also significant disagreement in other smaller cohorts in regards to the incidence of PNH in AA and MDS. Screening for PNH clones in patients with bone marrow failure needs further study before adoption of widespread use. Disclosures: Keeney: Alexion Pharmaceuticals Canada Inc.: Consultancy, Membership on an entity's Board of Directors or advisory committees. Wells:Alexion Pharmaceuticals Canada Inc: Honoraria. Sutherland:Alexion Pharmaceuticals Canada Inc.: Consultancy, Membership on an entity's Board of Directors or advisory committees.

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)0.001
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 score0.003
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.012
GPT teacher head0.205
Teacher spread0.193 · 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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Citations2
Published2011
Admission routes2
Has abstractyes

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