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Record W4389230884 · doi:10.1182/blood-2023-182167

Clinical Characteristics, Treatment, and Outcomes of Provoked Acute Cerebral Sinovenous Thrombosis in Patients <21 Years Old: Findings from the Kids-DOTT Multinational Trial

2023· article· en· W4389230884 on OpenAlexaff
Gary Woods, Alexandra Miller, Maua Mosha, Christoph Male, Anupam Verma, Nicole Kucine, Christine Sabapathy, Kisha A Beg, Sanjay Ahuja, Deepti Raybagkar, Kerry Hege, Clara Lo, Rukhmi Bhat, Thomas C. Abshire, Neil A. Goldenberg

Bibliographic record

VenueBlood · 2023
Typearticle
Languageen
FieldMedicine
TopicCerebral Venous Sinus Thrombosis
Canadian institutionsMcGill University Health CentreMontreal Children's Hospital
Fundersnot available
KeywordsMedicineRandomized controlled trialPediatricsExact testIncidence (geometry)Clinical trialSurgeryInternal medicine

Abstract

fetched live from OpenAlex

Background Cerebral sinus venous thrombosis (CSVT) is a rare pediatric condition with an estimated incidence of 0.7 per 100,000 children. However, amongst pediatric venous thromboembolism (VTE), the proportion of CSVT is high, at about 10% of all pediatric VTE. Key risk factors include perinatal stressors in cases of neonatal CSVT and acute infections, especially head and neck infections, in older children. To date, few multinational trials of pediatric VTE treatment have reported findings specifically among CSVT patients. Aims We sought to describe the clinical characteristics, treatment strategies, and outcomes of the patients with provoked acute CSVT enrolled in the Kids-DOTT trial and to compare these features to those of Kids-DOTT participants with non-CSVT VTE. Methods Kids-DOTT was an NIH-sponsored multinational randomized clinical trial (RCT) comparing 6 weeks vs. 3 months of anticoagulation for provoked acute VTE treatment in patients <21 years, with two non-randomized cohort arms run in parallel to the RCT for patients with persistent antiphospholipid antibodies or complete veno-occlusion at 6 weeks post-diagnosis of the index VTE. The primary RCT findings were recently published. In the present analysis, descriptive statistics were used to summarize patient and thrombus characteristics, treatments, and outcomes, and variables were compared between CSVT and non-CSVT VTE groups using Mann-Whitney U test for continuous variables and Chi-squared or Fisher's exact test, as appropriate, for categorical variables. All statistical analyses were performed using R Core Team, 2021. A P-value of <0.05 was considered statistically significant. Results Among 532 patients enrolled in the Kids-DOTT trial, the index VTE was a CSVT in 75 (14%). Age distribution differed significantly ( P=0.002) between CSVT and non-CSVT VTE patients, with the CSVT more likely to occur in neonates and children, compared to non-CSVT VTE more likely to occur in adolescents. CSVT was less likely to be CVC-related compared to non-CSVT VTE. The frequency of any infection (56.9% vs 26%, p<0.001) and specifically infection of the head/neck (35.4% vs 2%; P<0.001) as a provoking factor was significantly higher for CSVT vs. non-CSVT VTE. Non-head and neck infections were less likely to be associated with CSVT compared to non-CSVT VTE. One-third of CSVT patients received 6 weeks, while two-thirds received > 3 months, of anticoagulation (Table 2). No patients developed ISTH-defined symptomatic recurrent VTE or clinically relevant bleeding. Conclusions These multinational trial findings substantiate those of retrospective studies implicating head/neck infection as an important provoking factor for CSVT in young patients. The absence of recurrent VTE or clinically relevant bleeding among CSVT patients managed with anticoagulation in Kids-DOTT serve to augment recent RCT findings of CSVT treatment in children involving direct oral anticoagulants, demonstrating the safety and efficacy of therapeutic anticoagulation for pediatric CSVT.

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)0.006
metaresearch head score (Gemma)0.014
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.033

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.014
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.003
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
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 head0.040
GPT teacher head0.326
Teacher spread0.287 · 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 designNon-randomized trial
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
Published2023
Admission routes1
Has abstractyes

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