Brain atrophy in paediatric sickle cell anaemia: findings from the silent infarct transfusion (SIT) trial
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The rate of cortical atrophy in children with sickle cell disease suggests accelerated brain aging.
“a worrisome finding that suggests accelerated brain aging in SCD (145).”
From Pathophysiology of Sickle Cell Disease (2019) · cites this paper as [145]
The paper’s Abstract reports that brain atrophy in children with sickle cell anaemia and silent cerebral infarction was greater than reported in healthy children and adults, and comparable to that seen in adults with small-vessel disease. This supports the suggestion of accelerated brain aging, but the measured rate was for whole-brain volume change, not cortical atrophy specifically; the study population was also narrower than children with sickle cell disease generally. Page numbers were not supplied in our copy. (LLM, conf=0.85)
Experimental — accuracy not yet measuredCortical atrophy in children with sickle cell disease progresses at a rate similar to that of adults without sickle cell disease but with small-vessel disease, about 0.6-1% per year.
“There is recent evidence that cortical atrophy progresses in children with SCD at a rate similar to that of adults without SCD but with small-vessel disease (0.6–1% per year)—a worrisome finding that suggests accelerated brain aging in SCD (145).”
From Pathophysiology of Sickle Cell Disease (2019) · cites this paper as [145]
The reported results (labelled Abstract in our copy) give annual brain-volume losses of 0.62% and 0.96%, and the summary says cerebral atrophy was comparable to that in adults with small-vessel disease. The study measured global brain-volume change, not specifically cortical atrophy, and its children with sickle cell disease all had existing silent cerebral infarction. (LLM, conf=0.87)
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Cites
Accurate, Robust, and Automated Longitudinal and Cross-Sectional Brain Change Analysis
Smith, S. M., Zhang, Y., Jenkinson, M., Chen, J. M., Matthews, P. M., Federico, A., & Stefano, N. D. (2002) · NeuroImage · doi:10.1006/nimg.2002.1040 · Cited by 2,013 · see citing works
Controlled Trial of Transfusions for Silent Cerebral Infarcts in Sickle Cell Anemia
DeBaun, M. R., Gordon, M., McKinstry, R. C., Noetzel, M. J., White, D. A., Sarnaik, S. A., Meier, E. R., Howard, T. H., Majumdar, S., Inusa, B. P. D., et al. (2014) · New England Journal of Medicine · doi:10.1056/nejmoa1401731 · Cited by 545 · see citing works
Self-citationBrain Development Cooperative Group (2011) · Cerebral Cortex · doi:10.1093/cercor/bhr018 · Cited by 372 · see citing works
DeBaun, M. R., Armstrong, F. D., McKinstry, R. C., Ware, R. E., Vichinsky, E. P., & Kirkham, F. J. (2012) · Blood · doi:10.1182/blood-2011-02-272682 · Cited by 346 · see citing works
Self-citationBrain Atrophy and Cerebral Small Vessel Disease: A Prospective Follow-Up Study
Nitkunan, A., Lanfranconi, S., Charlton, R. A., Barrick, T. R., & Markus, H. S. (2011) · Stroke · doi:10.1161/strokeaha.110.594267 · Cited by 135 · see citing works
Effect of scanner in longitudinal studies of brain volume changes
Takao, H., Hayashi, N., & Ohtomo, K. (2011) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.22636 · Cited by 118 · see citing works
Detecting white matter injury in sickle cell disease using voxel‐based morphometry
Baldeweg, T., Hogan, A. M., Saunders, D. E., Telfer, P. T., Gadian, D. G., Vargha‐Khadem, F., & Kirkham, F. J. (2006) · Annals of Neurology · doi:10.1002/ana.20790 · Cited by 85 · see citing works
Self-citationA longitudinal study of brain volume changes in normal aging
Takao, H., Hayashi, N., & Ohtomo, K. (2011) · European Journal of Radiology · doi:10.1016/j.ejrad.2011.10.011 · Cited by 79 · see citing works
Regionally Specific Cortical Thinning in Children with Sickle Cell Disease
Kirk, G. R., Haynes, M. R., Palasis, S., Brown, C., Burns, T. G., McCormick, M. L., & Jones, R. A. (2008) · Cerebral Cortex · doi:10.1093/cercor/bhn193 · Cited by 49 · see citing works
Subcortical and cerebellar volumetric deficits in paediatric sickle cell anaemia
Kawadler, J. M., Clayden, J. D., Kirkham, F. J., Cox, T. S. C., Saunders, D. E., & Clark, C. A. (2013) · British Journal of Haematology · doi:10.1111/bjh.12496 · Cited by 45 · see citing works
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- [11]11. Sun sensitivity, indoor tanning and B-cell non-Hodgkin lymphoma risk among Caucasian women in Los Angeles County Exposure to ultraviolet (UV) radiation continues to be a public health concern, particularly with the rising prevalence in exposure to artificially administered UV via indoor tanning salons (Wehner et al, 2014). In contrast to outdoor sun exposure, which proportionally emits more UVB radia- tion, indoor tanning appliances (defined as tanning booths, solariums, sun lamps) proportionally emit more UVA radia- tion [International Agency for Research on Cancer (IARC), Correspondence ª 2016 John Wiley & Sons Ltd
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Pathophysiology of Sickle Cell Disease
Sundd, P., Gladwin, M. T., & Novelli, E. M. (2019) · Annual Review of Pathology Mechanisms of Disease · doi:10.1146/annurev-pathmechdis-012418-012838 · Cited by 813 · see citing works
- Authors
- Kawadler, J. M., Clark, C. A., McKinstry, R. C., & Kirkham, F. J.
- Affiliations
- University College London (GB)
- Washington University in St. Louis (US)
- Corresponding author
- Kawadler, Jamie M.
- Venue
- British Journal of Haematology
- Publisher
- Wiley
- Published
- 2016-04-07
- Volume
- 177
- Issue
- 1
- Pages
- 151-153
- ISSN
- 0007-1048 (ISSN-L)
- 1365-2141
- OpenAlex
- W2320324738
- Cited by
- 22
- References
- 10
- Citations by year
- 2026: 2 · 2024: 1 · 2023: 2 · 2022: 4 · 2021: 1 · 2020: 4 · 2019: 2 · 2018: 2 · 2017: 1 · 2016: 2 · 2013: 1
- FWCI
- 1.69
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- British Journal of Haematology (publishedVersion)
- PubMed (publishedVersion)
- ePrints Soton (University of Southampton) (acceptedVersion)
- UCL Discovery (University College London) (submittedVersion)
- Funders
- National Institute for Health and Care Research (PB-PG-1112-29099)
- Topics
- Health Sciences › Medicine › Genetics › Hemoglobinopathies and Related Disorders
- Health Sciences › Medicine › Hematology › Iron Metabolism and Disorders
- Health Sciences › Medicine › Biochemistry › Blood transfusion and management
- Keywords
- sickle cell disease, brain atrophy, pediatric patients, cerebral infarction, neuroimaging, transfusion therapy
- MeSH terms
- Anemia, Sickle Cell, Atrophy, Brain, Brain Diseases, Humans, Magnetic Resonance Imaging, Brain Infarction
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