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The North American Chronic Immune Thrombocytopenia Registry (NACIR): Demographics and Treatment Responses

2010· article· en· W2556829509 on OpenAlexaffabout
Rachael F. Grace, Ellis J. Neufeld, A. Kim Ritchey, Manjusha Kumar, Michael Jeng, Victor S. Blanchette, Robert J. Klaassen, George R. Buchanan, Margaret A. Heisel Kurth, Diane J. Nugent, Alexis A. Thompson, Courtney D. Thornburg, Michele P. Lambert, Michelle Neier, Michael Recht, Kimo C. Stine, Leslie A. Kalish, Carolyn M. Bennett

Bibliographic record

VenueBlood · 2010
Typearticle
Languageen
FieldMedicine
TopicPlatelet Disorders and Treatments
Canadian institutionsChildren's Hospital of Eastern OntarioHospital for Sick Children
Fundersnot available
KeywordsMedicineSplenectomyImmune thrombocytopeniaIncidence (geometry)PediatricsInternal medicinePopulationCohortEvans syndromeUnivariate analysisPlateletMultivariate analysisSpleenAnemia

Abstract

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Abstract Abstract 2509 Background: Chronic pediatric immune thrombocytopenia (ITP) has an incidence of 1–2/100,000. Due to its low incidence, large studies in pediatric chronic ITP are difficult. This registry includes patients from 16 sites in the US and Canada and represents one of the largest longitudinal datasets of children/adolescents with chronic ITP. Objective: To describe the North American Chronic ITP Registry (NACIR) study population and evaluate univariate predictors of platelet count response to therapies, including IVIG, anti-D globulin (anti-D), steroids (5–14 day course), and splenectomy. Registry methods and patient characteristics: After local IRB approval, 550 patients with chronic ITP enrolled in the NACIR between January 2004 and June 2010. Eligibility included: ages 6 months-18 years at ITP diagnosis, clinical diagnosis of ITP, and ITP duration >6 months. Primary ITP was defined as isolated thrombocytopenia without associated conditions. Secondary ITP included those patients with immune thrombocytopenia associated with other immune-mediated medical conditions, including Evans Syndrome. Treatment response was defined as a post-treatment platelet count ≥50,000/uL within 7 days of IVIG, 10 days of anti-D, 14 days of steroids, and 30 days of splenectomy. 365 subjects had at least one 6 month follow-up report after enrollment; median duration of follow-up was 2.1 yrs. Demographics of participants include: 46% male; 84% Caucasian, 7% Black, and 7% Asian; and 20% Hispanic. Mean age at diagnosis of acute ITP was 8.7 ± SD 5.2 years. At the time of enrollment in NACIR, subjects had received a median of 2 prior treatments (range 0–7). Results: The median platelet count at diagnosis of acute ITP was 11,000/uL (IQR 6,000–31,000/uL) and at chronic ITP was 35,000/uL (IQR 18,000–66,000/uL). 69 (12.5%) patients had secondary ITP or Evans syndrome. Of those tested, 25.6% (98/359) of patients had a positive ANA (titer > 1:40), and 75/337 (22.3%) had a positive direct anti-globulin test (DAT). 27.5% of patients had an antecedent viral illness. Of the 550 subjects, 2 (0.4%) experienced life-threatening bleeding. Patients were treated as follows: 259 (47.1%) with steroids, 253 (46%) with IVIG, 189 (34.4%) with anti-D, and 64 (11.6%) with splenectomy. Overall responses to therapy included: 69.1% response to steroids, 74.3% response to IVIG, 66.7% response to anti-D, and 85.9% response to splenectomy. Univariate predictors of response to treatments are shown in Table I. Higher platelet count at chronic ITP diagnosis and DAT positive predicted a platelet response to a short course of steroids in univariate analysis. This was confirmed in multivariable analysis of potential confounders, using logistic regression with a backwards elimination procedure. Response to one type of therapy was often strongly associated with a response to a second therapy. Gender, ethnicity, race, older age, and platelets ≥20,000/uL at acute ITP diagnosis were not associated with response to any single therapy. Conclusion: The demographics and laboratory findings of the large, well characterized NACIR population are consistent with other reports of young people with chronic ITP. The novel finding that DAT positivity predicts steroid response, even with multivariable adjustment for confounders, provides evidence that the NACIR is a robust and useful tool for trying to predict response to ITP treatment strategies. Disclosures: Klaassen: Novartis: Research Funding; Cangene: Research Funding. Lambert: Cangene: 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)0.004
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 score0.009
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.001

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 head0.010
GPT teacher head0.258
Teacher spread0.248 · 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
Published2010
Admission routes2
Has abstractyes

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