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RESPONSE TO HYDROXYCHLOROQUINE IN IMMUNE THROMBOCYTOPENIA IN CHILDHOOD-ONSET SLE

2025· article· en· W4410512980 on OpenAlexaffvenue
Hamada Mohammad Natour, Y. Ingrid Goh, Daniela Domínguez, Nicholas D. Gold, Lawrence Ng, Andrea Knight, E D Silverman, Brian M. Feldman, Linda T. Hiraki, Deborah M. Levy

Bibliographic record

VenueThe Journal of Rheumatology · 2025
Typearticle
Languageen
FieldMedicine
TopicPlatelet Disorders and Treatments
Canadian institutionsSickKids FoundationHospital for Sick ChildrenUniversity of Toronto
Fundersnot available
KeywordsMedicineHydroxychloroquineImmune thrombocytopeniaImmunologyImmunopathologyImmune systemPediatricsAntibodyInternal medicineCoronavirus disease 2019 (COVID-19)Disease

Abstract

fetched live from OpenAlex

PV166 / #638 Poster Topic: AS18 - Pediatric SLE Background/Purpose The management of immune thrombocytopenia in childhood-onset systemic lupus erythematosus (cSLE) is diverse and yet to be standardized. We aimed to analyze the efficacy and safety of hydroxychloroquine (HCQ) in the treatment of thrombocytopenia (platelet count <100× 10^9/L) associated with cSLE. Methods We retrospectively reviewed the medical records of patients who developed thrombocytopenia (platelet count <100 × 10^9/L) and were followed in the SLE clinic at The Hospital for Sick Children, between January 2015 and December 2022. Definite cSLE was defined by ANA titer ≥ 1:160 measured by immunofluorescence and ≥10 points according to the 2019 EULAR/ACR 2019 classification criteria, while patients with incipient cSLE were ANA positive, had clinical features of evolving SLE but achieved a score below 10. Complete response was defined as a platelet count >100 x 10^9/L with no bleeding. Partial response was defined as a platelet count >30 x 10^9/L with at least a 2-fold increase of the baseline count and no bleeding. Qualitative data were analyzed using descriptive statistics. Results Of the 265 patient records reviewed (201 with definite cSLE and 64 with incipient cSLE), 55 (21%) patients had thrombocytopenia (Table 1). Nine patients with thrombocytopenia secondary to other causes, such as medications related or infections, were excluded. Forty-six patients (70% female), with a median age of 12.9 years (IQR 10.6 - 14.9) and median platelet count of 16.5 × 10^9/L (IQR 6 - 61) at time of thrombocytopenia diagnosis were included. The median lowest platelet count was 6 × 10^9/L (IQR 2 - 31). Twenty-eight (61%) patients had definite cSLE, while 18 (39%) had incipient cSLE. Median SLEDAI score at cSLE diagnosis (for definite SLE) was 7 (IQR 5 - 12). Thirty-one (67%) patients were treated with corticosteroids and/or IVIG prior to commencing HCQ, and 10 of them (22%) also required 1 or more additional treatments for thrombocytopenia (ie, azathioprine, mycophenolate mofetil, eltrombopag, romiplostim, rituximab, or cyclophosphamide). Thirteen (28%) patients achieved either a complete or partial response prior to initiating HCQ. Forty-one (89%) patients were treated with HCQ during their disease course. HCQ was initiated at a median of 6 months (IQR 2.7-12.2) after thrombocytopenia diagnosis at a median platelet count of 65 × 10^9/L (IQR 19-131). Twenty-six (63%) of the patients treated with HCQ had a complete or partial response at 12 weeks after initiating HCQ. Fourteen (34%) patients required additional treatment for thrombocytopenia during this time. Forty-three (93%) patients had either complete (n=39) or partial response (n=4) after 1 year and/or at the end of follow-up, including 38 (93%) who received HCQ. The median follow-up time was 27 months (IQR 12.7-52). At the end of follow-up, only 3 patients required a second drug (either sirolimus, eltrombopag, mycophenolate mofetil, or azathioprine). Only 1 patient discontinued HCQ due to side effects (headache). Table 1. Demographics of Patients Included In Analysis Conclusions In a cohort of children with definite or incipient cSLE, we observed successful management of thrombocytopenia on HCQ monotherapy nearly 2 years after their onset, although two-thirds required immunosuppression at presentation. Further analysis will identify characteristics that predict response to HCQ monotherapy.

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 score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
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 head0.007
GPT teacher head0.279
Teacher spread0.272 · 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
Published2025
Admission routes2
Has abstractyes

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