We describe a case of neonatal cerebral sinovenous thrombosis associated with the presence of anti-phospholipid antibodies (aPL). We recommend that in all cases of neonatal thrombosis, the couple mother-infant should be extensively tested for the presence of both acquired (aPL) and congenital thrombophilia.
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Res Pract Thromb Haemost
October 2024
Department of Pediatrics and Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
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 PDFClin 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.
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 PDFInt J Gen Med
July 2024
Department of Biological Sciences, Institute of Cardiovascular Research, Royal Holloway University of London (ICR2UL), Egham, Greater London, UK.
Introduction: Risk prediction models are commonly performed with logistic regression analysis but are limited by skewed datasets. We utilised neural networks (NNs) model to identify independent predictors of poor outcomes in cerebral venous thrombosis (CVT) due to the limitations of logistic regression (LR) analysis with complex datasets.
Methods: We evaluated 1309 adult CVT patients from the prospective BEAST (Biorepository to Establish the Aetiology of Sinovenous Thrombosis) study.
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