Risk factors for developing recurrent raised intracranial pressure post cranial vault remodelling in nonsyndromic craniosynostosis in children: a systematic review protocol

Author(s):  
Xenia Doorenbosch ◽  
Jared Campbell ◽  
Kandiah Umapathysivam
2020 ◽  
Author(s):  
Sohaib R Rufai ◽  
Noor ul Owase Jeelani ◽  
Rebecca J McLean

Abstract Introduction Craniosynostosis is characterised by the premature fusion of cranial sutures. This can be associated with raised intracranial pressure (ICP), which can lead to developmental delay, visual impairment and death. Treatment involves surgical expansion of the skull vault. There is no consensus over who to treat and when. Intracranial pressure is difficult to estimate in a child and existing methods possess sub-optimal diagnostic accuracy to be employed as screening tools. Here, we propose a systematic review protocol to examine the role of optical coherence tomography (OCT) in early detection of raised ICP in craniosynostosis. Methods Electronic searches in the Cochrane Central Register of Controlled Trials (CENTRAL), MEDLINE and Embase will identify studies featuring OCT in detecting raised ICP in children with craniosynostosis. Two independent researchers will identify studies for inclusion using a screening questionnaire. Quality will be assessed using the National Institutes of Health (NIH) Quality Assessment Tool for Observational Cohort and Cross-Sectional Studies. The primary outcome measure is the sensitivity and specificity of OCT in detecting raised ICP in children with craniosynostosis. Secondary outcomes measures include the sensitivity and specificity of other surrogate measures for raised ICP, OCT parameters used and normal ranges for ICP reported. A formal narrative synthesis with descriptive statistics will be presented. Discussion The proposed study will be the first to examine the role of optical coherence tomography in the early recognition of raised intracranial pressure in craniosynostosis, thereby addressing an important clinical problem in paediatric ophthalmology and craniofacial surgery. This systematic review protocol provides transparency to the proposed methods and reduces the possibility of duplication. The proposed methods reflect those prescribed by the Cochrane Collaboration. Systematic review registration International Prospective Register for Systematic Reviews (PROSPERO) number CRD42019147693


2020 ◽  
Vol 19 (1) ◽  
pp. 163-169
Author(s):  
Rafael Oliveira Pitta Lopes ◽  
Genesis de Souza Barbosa ◽  
Kênia Rocha Leite ◽  
Claudia Angélica Mainenti Ferreira Mercês ◽  
Rosimere Ferreira Santana ◽  
...  

2019 ◽  
Vol 16 (1) ◽  
Author(s):  
Isabel Martinez-Tejada ◽  
Alexander Arum ◽  
Jens E. Wilhjelm ◽  
Marianne Juhler ◽  
Morten Andresen

Abstract Background Although B waves were introduced as a concept in the analysis of intracranial pressure (ICP) recordings nearly 60 years ago, there is still a lack consensus on precise definitions, terminology, amplitude, frequency or origin. Several competing terms exist, addressing either their probable physiological origin or their physical characteristics. To better understand B wave characteristics and ease their detection, a literature review was carried out. Methods A systematic review protocol including search strategy and eligibility criteria was prepared in advance. A literature search was carried out using PubMed/MEDLINE, with the following search terms: B waves + review filter, slow waves + review filter, ICP B waves, slow ICP waves, slow vasogenic waves, Lundberg B waves, MOCAIP. Results In total, 19 different terms were found, B waves being the most common. These terminologies appear to be interchangeable and seem to be used indiscriminately, with some papers using more than five different terms. Definitions and etiologies are still unclear, which makes systematic and standardized detection difficult. Conclusions Two future lines of action are available for automating macro-pattern identification in ICP signals: achieving strict agreement on morphological characteristics of “traditional” B waveforms, or starting a new with a fresh computerized approach for recognition of new clinically relevant patterns.


2017 ◽  
Vol 6 (1) ◽  
Author(s):  
Amber Cragg ◽  
Jeffrey P. Hau ◽  
Stephanie A. Woo ◽  
Christine Liu ◽  
Mary M. Doyle-Waters ◽  
...  

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