Subsequent haemorrhage in children with untreated brain arteriovenous malformation: Higher risk with unbalanced inflow and outflow angioarchitecture
- 207 Downloads
Children with brain arteriovenous malformations (bAVMs) are at risk of life-threatening haemorrhage in their early lives. Our aim was to analyse various angioarchitectural features of bAVM to predict the risk of subsequent haemorrhage during follow-up in children.
We identified all consecutive children admitted to our institution for bAVMs between July 2009 and September 2015. Children with at least 1 month of treatment-free follow-up after diagnosis were included in further analysis. Annual rates of AVM rupture as well as several potential risk factors for subsequent haemorrhage were analysed using Kaplan-Meier analyses and Cox proportional hazards regression models.
We identified 110 paediatric patients with a mean follow-up period of 2.1 years (range, 1 month–15.4 years). The average annual risk of haemorrhage from untreated AVMs was 4.3 % in children. No generalised venous ectasia in conjunction with fast arteriovenous shunt was predictive of subsequent haemorrhage (RR, 7.55; 95 % CI 1.96–29.06). The annual rupture risk was 11.1 % in bAVMs without generalised venous ectasia but with fast arteriovenous shunt.
bAVM angiographic features suggesting unbalanced inflow and outflow might be helpful to identify children at higher risk for future haemorrhage.
• Haemorrhage risk stratification is important for children with untreated brain AVM.
• Angiographic features suggesting unbalanced inflow and outflow predict paediatric brain AVM haemorrhage.
• Identifying AVMs with high rupture risk help patient selection and tailoring treatment.
KeywordsIntracranial arteriovenous malformation Child Intracranial haemorrhage Cerebral angiography Risk assessment
Brain arteriovenous malformation
The authors would like to thank Professor Helen Kim of the Center for Cerebrovascular Research, Department of Anesthesia and Perioperative Care, Department of Epidemiology and Biostatistics at the University of California San Francisco for her assistance with the statistical analysis and Professor Shuo Wang of the Department of Neurosurgery at Beijing Tiantan Hospital for supervision and administration of our study and Dr. Gu Wei-Bin of the Department of Neuroradiology at Beijing Tiantan Hospital for his assistance with the image preparation.
The scientific guarantor of this publication is Shuo Wang, Vice President of Department of Neurosurgery and Dean of Cerebrovascular Neurosurgery Section, Beijing Tiantan Hospital, Capital Medical University. The authors of this manuscript declare no relationships with any companies whose products or services may be related to the subject matter of the article. This project was supported by the Ministry of Science and Technology of China, National Key Technology Research and Development Program (2015BAI12B04, 2013BAI09B03, 2012CB720704); Beijing Institute for Brain Disorders grant (BIBD-PXM2013_014226_07_000084); National Natural Science Foundation of China (H0906 81271313 and H0906 81571110 to Y.L. Zhao); National Institutes of Health grant (R01 NS034949 to Y.L. Zhao); Health Industry Special Scientific Research Project (No. 201402019 to J. Ma); and China Scholarship Council (No. 201508110252 to L. Ma). Institutional Review Board approval was obtained. Written informed consent was obtained from all subjects (patients) in this study. None of the study subjects or cohorts have been previously reported. Methodology: retrospective, observational, performed at one institution.
- 16.Joint Writing Group of the Technology Assessment Committee American Society of I, Therapeutic N, Joint Section on Cerebrovascular Neurosurgery a Section of the American Association of Neurological S et al (2001) Reporting terminology for brain arteriovenous malformation clinical and radiographic features for use in clinical trials. Stroke 32:1430–1442CrossRefGoogle Scholar