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An Individual Platelet Count Set-Point in ITP: A Concept Learned from Patients with Mild Thrombocytopenia and a Good Response to IVIg or Corticosteroids.

2007· article· en· W2992900148 on OpenAlexaff
Donald M. Arnold, Jane C. Moore, James W. Smith, John G. Kelton

Bibliographic record

VenueBlood · 2007
Typearticle
Languageen
FieldMedicine
TopicPlatelet Disorders and Treatments
Canadian institutionsMcMaster University
Fundersnot available
KeywordsPlateletMedicineThrombocytopenic purpuraPrednisoneInternal medicineGastroenterologyAutoantibodyMean platelet volumeImmunologyCorticosteroidAntibody

Abstract

fetched live from OpenAlex

Abstract Background: Immune thrombocytopenic purpura (ITP) is a heterogeneous disease caused by both increased platelet destruction and decreased platelet production. Thrombocytopenia is typically severe, and in the absence of a sensitive and specific test, a platelet count response to intravenous immune globulin (IVIg) or corticosteroids is diagnostic. Patients with mild thrombocytopenia (platelets 50 – 150 × 109/L) may have ITP, non-immune thrombocytopenia or a low-normal platelet count. The diagnostic value of platelet autoantibodies for such patients is not known. Methods: We studied the platelet count responses of 6 patients with mild thrombocytopenia who were treated with either IVIg or corticosteroids. Baseline platelet count was defined as the mean of the 2 lowest, consecutive platelet counts that were within 15% of each other. The peak platelet count was the highest recorded platelet count measured within 1 month of treatment. For most patients, the dose of IVIg was 1g/kg ×1, and the dose of prednisone was 1mg/kg for 2 – 4 weeks. Complete response was defined as a peak platelet count that was at least 2x baseline; a partial response was defined as a peak platelet count 1.5 – 2x baseline; below that was not considered a response. Platelet glycoprotein IIb/IIIa and Ib/IX autoantibodies were determined by the antigen capture assay using platelet lysates prepared from samples collected prior to treatment. An OD >0.4 was considered positive. Results: Five patients with mild thrombocytopenia received 5 treatments with IVIg and 2 treatments with corticosteroid (2 patients received IVIg on 2 separate occasions). The indications for treatment were: planned invasive procedure (n=5), pregnancy/delivery (n=1), and treatment of multiple sclerosis (n=1). Patients were followed for a median of 1.6 years (range 0.6 – 3 years). Median baseline platelet count prior to treatment was 70 ×109/L (range 57 – 79 ×109/L). A platelet count response was observed following all 7 treatments; including 5 complete responses and 2 partial responses. Median peak platelet count was 180 ×109/L (range 115 – 297 ×109/L). Post-treatment platelet counts returned to within 15% of pre-treatment values following 6 of 7 treatments after a median of 3 months (range 1 week – 5 months). Of the 3 patient tested, none had anti-GP IIb/IIIa or anti-Ib/IX autoantibodies. Interpretation: A good response to IVIg (or steroid) treatment confirmed the immune nature of mild thrombocytopenia in this cohort and should be used as the gold standard to evaluate the test characteristics of platelet autoantibodies. We observed that some patients with mild ITP have an individual platelet count “set-point” which remained relatively stable over time. Although further testing is required, this concept implies that in some patients, there is a regulated balance between platelet destruction and underproduction.

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)0.007
metaresearch head score (Gemma)0.016
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.038

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.016
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0000.003
Scholarly communication0.0020.003
Open science0.0010.001
Research integrity0.0010.006
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 head0.025
GPT teacher head0.281
Teacher spread0.257 · 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

Citations0
Published2007
Admission routes1
Has abstractyes

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