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Brain Volumes and Cognition in Patients with Sickle Cell Anaemia: A Systematic Review and Meta-Analysis

Journal

CHILDREN-BASEL
Volume 10, Issue 8, Pages -

Publisher

MDPI
DOI: 10.3390/children10081360

Keywords

sickle cell; brain volume; cognition

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Cognitive decline is a significant issue in patients with sickle cell anaemia (SCA) and affects their quality of life. However, studies on the association between neuroimaging findings and cognition in this population have yielded mixed results. This systematic review evaluated the literature on regional brain volumes and their impact on cognitive outcomes. The review found that SCA patients tend to have lower grey matter volumes in childhood compared to controls, while white matter volumes remain stable in children but decrease in adulthood. Age and haemoglobin levels are better predictors of cognitive outcomes than regional brain volumes.
Cognitive decline is a major problem in paediatric and adult patients with sickle cell anaemia (SCA) and affects the quality of life. Multiple studies investigating the association between quantitative and qualitative neuroimaging findings and cognition have had mixed results. Hence, the aetiology of cognitive decline in this population is not clearly understood. Several studies have established cerebral atrophy in SCA children as well as adults, but the relationship between cognition and brain volumes remains unclear. The purpose of this systematic review was therefore to evaluate the literature on regional brain volumes and their association with cognitive outcomes. We also meta-analysed studies which compared regional brain volumes between patients and controls. Studies report that patients with SCA tend to have lower grey matter volumes, including total subcortical volumes in childhood as compared to controls, which stabilise in young adulthood and may be subjected to decline with age in older adulthood. White matter volumes remain stable in children but are subjected to reduced volumes in young adulthood. Age and haemoglobin are better predictors of cognitive outcomes as compared to regional brain volumes.

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