Improving Infant Hydrocephalus Outcomes in Uganda: A Longitudinal Prospective Study Protocol for Predicting Developmental Outcomes and Identifying Patients at Risk for Early Treatment Failure after ETV/CPC
Abstract
:1. Introduction
- Aim 1: To establish the first large-scale dataset of the longitudinal evolution of cerebral physiology, structure, treatment outcome, and long-term neurodevelopmental outcome during hydrocephalus progression.
- (a)
- Brain physiology: Perform FDNIRS-DCS measurements during hospital stay and at each follow-up exam to determine SO2, CBF, and CMRO2.
- (b)
- Brain structure: Perform a CT/HUS head scan pre-operatively and post-operatively at day one, six and 12 months, and at 24 months of age to determine brain and CSF volumes as well as extra-axial layer thickness.
- (c)
- Clinical course: Follow response to treatment and occurrence of treatment failure.
- (d)
- Neurodevelopmental outcome: Following the baseline assessment, evaluate the outcomes at six and 12 months post-operatively, and at 24 months of age with the Bayley Scales of Infant and Toddler Development, Third Edition (BSID-3) and the Vineland Adaptive Behavior Scales, Third Edition (Vineland-3).
- Aim 2: To determine the statistical power of optical measures for early prediction of treatment failure, neurodevelopmental outcome, and post-treatment brain growth.
2. Experimental Design
2.1. Study Design
2.2. Study Organization
2.3. Study Period
2.4. Participants
2.5. Patient Screening and Recruitment
2.6. Informed Consent
2.7. Clinical Workflow
2.8. Intervention
2.9. Research Workflow
3. Results
3.1. Data Collection
3.1.1. Patient Demographics and Clinical Data Collection
3.1.2. CT and US Imaging
3.1.3. FDNIRS-DCS Measurements
3.1.4. Neurodevelopmental Outcome Assessment
3.2. Data Security, Storage, and Sharing
3.3. Data Analysis
3.3.1. Data Analysis Platform
3.3.2. Cerebral Hemoglobin Concentrations, Calculations, and Oxygen Metabolism Estimation
3.3.3. CT and US Imaging Analysis
3.4. Power Analysis and Statistical Plan
3.5. Staff Training
3.6. Data Quality Assurance
3.7. Reporting
3.8. Ethics Approval, Registration, and Dissemination
3.9. Study Status
4. Discussion
Supplementary Materials
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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Vadset, T.A.; Rajaram, A.; Hsiao, C.-H.; Kemigisha Katungi, M.; Magombe, J.; Seruwu, M.; Kaaya Nsubuga, B.; Vyas, R.; Tatz, J.; Playter, K.; et al. Improving Infant Hydrocephalus Outcomes in Uganda: A Longitudinal Prospective Study Protocol for Predicting Developmental Outcomes and Identifying Patients at Risk for Early Treatment Failure after ETV/CPC. Metabolites 2022, 12, 78. https://doi.org/10.3390/metabo12010078
Vadset TA, Rajaram A, Hsiao C-H, Kemigisha Katungi M, Magombe J, Seruwu M, Kaaya Nsubuga B, Vyas R, Tatz J, Playter K, et al. Improving Infant Hydrocephalus Outcomes in Uganda: A Longitudinal Prospective Study Protocol for Predicting Developmental Outcomes and Identifying Patients at Risk for Early Treatment Failure after ETV/CPC. Metabolites. 2022; 12(1):78. https://doi.org/10.3390/metabo12010078
Chicago/Turabian StyleVadset, Taylor A., Ajay Rajaram, Chuan-Heng Hsiao, Miriah Kemigisha Katungi, Joshua Magombe, Marvin Seruwu, Brian Kaaya Nsubuga, Rutvi Vyas, Julia Tatz, Katharine Playter, and et al. 2022. "Improving Infant Hydrocephalus Outcomes in Uganda: A Longitudinal Prospective Study Protocol for Predicting Developmental Outcomes and Identifying Patients at Risk for Early Treatment Failure after ETV/CPC" Metabolites 12, no. 1: 78. https://doi.org/10.3390/metabo12010078
APA StyleVadset, T. A., Rajaram, A., Hsiao, C. -H., Kemigisha Katungi, M., Magombe, J., Seruwu, M., Kaaya Nsubuga, B., Vyas, R., Tatz, J., Playter, K., Nalule, E., Natukwatsa, D., Wabukoma, M., Neri Perez, L. E., Mulondo, R., Queally, J. T., Fenster, A., Kulkarni, A. V., Schiff, S. J., ... Lin, P. -Y. (2022). Improving Infant Hydrocephalus Outcomes in Uganda: A Longitudinal Prospective Study Protocol for Predicting Developmental Outcomes and Identifying Patients at Risk for Early Treatment Failure after ETV/CPC. Metabolites, 12(1), 78. https://doi.org/10.3390/metabo12010078