Cerebral sinovenous thrombosis is unusual during childhood and requires early and accurate management because of its detrimental consequences. We report on the case of a 2-year-old boy with mild psychomotor delay, who presented with nonfebrile acute ataxia. A brain computed tomographic (CT) scan showed complete thrombosis of the superior sagittal sinus, confirmed by magnetic resonance angiography and associated with a right frontal hemorrhagic infarction. Systematic screening for thrombophilia revealed homocystinuria linked to cystathionine β-synthase deficiency with underlying compound heterozygosity. The evolution was favorable after anticoagulant therapy, specific diet, and vitamin supplementation. This case is of interest because of the unusual clinical presentation as a pediatric cerebral sinovenous thrombosis. Furthermore, homocystinuria is rarely revealed by cerebral sinovenous thrombosis at the onset of the disease and should systematically be ruled out in pediatric stroke.

Download full-text PDF

Source
http://dx.doi.org/10.1177/0883073813520502DOI Listing

Publication Analysis

Top Keywords

cerebral sinovenous
16
sinovenous thrombosis
16
2-year-old boy
8
thrombosis
5
inaugural cerebral
4
sinovenous
4
thrombosis revealing
4
revealing homocystinuria
4
homocystinuria 2-year-old
4
boy cerebral
4

Similar Publications

Article Synopsis
  • The study analyzes data from the Kids-DOTT trial to investigate the treatment and outcomes of children with cerebral sinovenous thrombosis (CSVT) compared to those with other types of venous thromboembolism (VTE).
  • CSVT was found to be more common in neonates and young children, often linked to infections, while treatment involved varying durations of anticoagulation, with no significant difference in outcomes between 6 weeks and longer treatments.
  • The findings suggest that 6 weeks of anticoagulant therapy is safe and effective for treating acute pediatric CSVT, but caution is advised in generalizing results due to the nature of subgroup analysis.
View Article and Find Full Text PDF

Purpose This study aimed at studying the neurological manifestation of neonatal acute kidney injury, focusing on the clinico-radiological profile. Methodology In this cross-sectional study, newborns hospitalized in the neonatal intensive care unit of a tertiary care hospital were enrolled over a study period of one year. As per the Kidney Disease: Improving Global Outcome (KDIGO) criteria, 74 neonates were enrolled, and magnetic resonance imaging (MRI) was performed on the same neonates.

View Article and Find Full Text PDF

Objective: To investigate the risk factors for acute symptomatic seizure (ASS) in children with Cerebral Sinovenous Thrombosis (CSVT) and to evaluate the effect of ASS on outcome.

Methods: Cross-sectional, single-center, hospital-based retrospective analysis of 42 children with neuroimaging-confirmed CSVT recorded between December 2009 and January 2023. ASS was defined as a seizure occurring within 7 days after CSVT.

View Article and Find Full Text PDF

Recurrent haemorrhagic venous infarct in a patient with sickle cell disease.

BMJ Case Rep

July 2024

Pediatric Critical Care, Shaikh Khalifa Medical City, Abu Dhabi, UAE.

Cerebrovascular accidents are uncommon but devastating complications of sickle cell disease (SCD). Notably, cerebral sinovenous thrombosis is rarely reported in SCD and poses a therapeutic dilemma regarding anticoagulation. Herein, we describe a challenging case of a patient with sickle thalassaemia admitted to the hospital with recurrent haemorrhagic infarct secondary to cerebral sinus thrombosis.

View Article and Find Full Text PDF
Article Synopsis
  • Risk prediction models for cerebral venous thrombosis (CVT) traditionally rely on logistic regression, which faces challenges with skewed datasets.
  • Researchers evaluated 1309 CVT patients using neural networks (NNs) to uncover independent predictors of poor outcomes, finding higher accuracy and better predictive values than logistic regression.
  • Key findings revealed that cerebral hemorrhage and thrombolysis are strong predictors of long-term poor outcomes, while other factors like age had minimal impact, suggesting that neural networks could enhance clinical decision-making compared to traditional methods.
View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!