Cerebral sinovenous thrombosis is a rare condition presenting with a wide spectrum of nonspecific symptoms that can make early diagnosis difficult. Cerebral sinovenous thrombosis has been associated with various etiologies. Iron deficiency anemia associated with cerebral sinovenous thrombosis in teenagers is rare. We present a teenage patient with complete thrombosis of the vein of Galen, straight sinus, and left internal cerebral vein associated with iron deficiency anemia due to severe menorrhagia. Mechanisms that can explain the association between iron deficiency anemia and thrombosis are discussed.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1177/0883073813500715 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Clinical characteristics, treatment, and outcomes of provoked acute cerebral sinovenous thrombosis in patients <21 years old: findings from the Kids-DOTT Multinational Trial.
Res Pract Thromb Haemost
October 2024
Department of Pediatrics and Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
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.
Neurological Manifestation of Neonatal Acute Kidney Injury: Focusing on the Clinico-Radiological Profile.
Cureus
September 2024
Department of Pediatrics, Dr. Sampurnanand Medical College, Jodhpur, IND.
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 PDFRisk factors for acute symptomatic seizure in children with cerebral sinovenous thrombosis: Experience from a tertiary center.
Clin Neurol Neurosurg
November 2024
Department of Pediatric Neurology, Faculty of Medicine, Inönü University, Malatya, Turkey. Electronic address:
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.
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 PDFPrediction of Long-Term Poor Clinical Outcomes in Cerebral Venous Thrombosis Using Neural Networks Model: The BEAST Study.
Int J Gen Med
July 2024
Department of Biological Sciences, Institute of Cardiovascular Research, Royal Holloway University of London (ICR2UL), Egham, Greater London, UK.
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.
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!