Recurrence Rate and Hazard Modeling for Recurrence in Children with a First Episode of Venous Thromboembolism
Notice bibliographique
Résumé
Abstract Abstract 3392 Background: Pediatric venous thromboembolism (VTE), although rare, is associated with significant morbidity and mortality. A more thorough understanding of the epidemiology of pediatric VTE is needed to advance the field. Published recurrence rates in this age group vary widely, ranging from 5.5% to 18.5%, and currently studies assessing contributing risk factors for recurrence are sparse. Objectives: To describe the recurrence rate of venous thromboembolism after a first time episode of VTE in a provincial cohort of children aged 0–17 (inclusive) and determine predictors of recurrence after incident VTE. Methods: A retrospective cohort of children (ages 0–17 inclusive) with a first time diagnosis of VTE in the province of Quebec over an eleven-year period was obtained from a comprehensive administrative hospital database (Med-Echo). The study period began on January 1st, 1994 and ended on December 31st, 2004 for inclusion of incident cases. Subjects were followed from the time of their admission into the cohort (at time of incident VTE), until their first recurrence, death, emigration from the province or end of the study period (December 31st, 2005), whichever came first. The following demographic and risk factor information were extracted for the cohort: age, age category, sex, type of VTE at initial presentation, prior major surgery, prior major infection, prior congenital heart disease, prior central line, prior trauma, cancer or recent bone marrow transplantation, and diagnosis of a chronic disease. Chronic diseases extracted included systemic lupus erythematosus, inflammatory bowel disease, cystic fibrosis, nephrotic syndrome and sickle cell disease. Recurrence rates were then calculated and univariate Cox-proportional hazard model and log rank testing were used to assess which risk factors would be incorporated into the final multivariate Cox-proportional hazard model evaluating risk of VTE recurrence. Results: In total, 518 incident cases of VTE in children 0–17 years of age were documented. Median follow up time in cohort was 4.4 years (range 1 day – 12 years). Overall the cohort had a recurrence rate of 2.77 per 1000 person-months (95% confidence interval (CI) 2.2–3.4) (recurrence risk of 16%). Multivariate Cox proportional hazard modeling showed a statistically significant increased risk of recurrence with the presence of a chronic disease (HR 2.40; 95% CI 1.26–4.56) and a diagnosis of portal vein thrombosis as the initial VTE presentation (HR 3.29; 95% CI 1.30–8.34). Overall all-cause mortality was 6.4% with 33 deaths in the cohort. Conclusions: The risk of recurrence is comparable to those prior studies that had shown higher recurrence risks. The rate of VTE recurrence is higher in those with a pre-existing chronic illness or with an initial diagnosis of portal vein thrombosis. Overall all-cause mortality was lower in our cohort than prior large studies of VTE in this age group. Our findings highlight the need for future studies to determine effective secondary prophylaxis strategies in children at high risk for VTE recurrence. Disclosures: No relevant conflicts of interest to declare.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,004 | 0,017 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,002 |
| Bibliométrie | 0,002 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,005 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».