Predicting Acute and Post-Recovery Outcomes in Cerebral Malaria and Other Comas by Optical Coherence Tomography (OCT in CM) – A protocol for an observational cohort study of Malawian children
posted on 2024-04-16, 13:32authored byKyle J Wilson, Zhanhan Tu, Emmie Mbale, Priscilla P Mhango, Petros Kayange, Melissa J Gladstone, Simon Harding, Irene Gottlob, Marta Garcia-Finana, Yaochun Shen, Terrie E Taylor, Karl B Seydel, Yalin Zheng, Nicholas AV Beare
Cerebral malaria (CM) remains a significant global health challenge with high morbidity and mortality. Malarial retinopathy has been shown to be diagnostically and prognostically significant in the assessment of CM. The major mechanism of death in paediatric CM is brain swelling. Long term morbidity is typically characterised by neurological and neurodevelopmental sequelae. Optical coherence tomography can be used to quantify papilloedema and macular ischaemia, identified as hyperreflectivity. Here we describe a protocol to test the hypotheses that quantification of optic nerve head swelling using optical coherence tomography can identify severe brain swelling in CM, and that quantification of hyperreflectivity in the macula predicts neurodevelopmental outcomes post-recovery. Additionally, our protocol includes the development of a novel, low-cost, handheld optical coherence tomography machine and artificial intelligence tools to assist in image analysis.
Funding
Predicting Acute and Post-Recovery Outcomes in Cerebral Malaria by Optical Coherence Tomography
Reporting guidelines
Zenodo. SPIRIT Checklist & Model Consent for 'Predicting Acute and Post-Recovery Outcomes in Cerebral Malaria and Other Comas by Optical Coherence Tomography (OCT in CM) – A protocol for an observational cohort study of Malawian children'. DOI: https://doi.org/10.5281/zenodo.770364329.
This dataset contains the SPIRIT checklist (adapted to an observational trial) and model consent forms for the OCT in CM study protocol. The protocol will be submitted as a paper to Wellcome Open Research.
Data are available under the terms of the Creative Commons Zero "No rights reserved" data waiver (CC BY 4.0 Public domain dedication).