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The brain variables in these analyses are the unsmoothed average "modulated" gray matter density in a whole-hippocampal or amygdala region of interest drawing.
Linear regression was again used to determine associations between subclinical macroangiopathy and brain variables.
Instead, in our study population, a greater cIMT only influences brain variables in patients without microvascular complications.
In case of a significant interaction effect, the association between those brain variables and subclinical macroangiopathy was analyzed in all patients and controls separately.
Participants from the ACCORD-MIND and ACCORD-Eye substudies were included in analyses of cognition (n = 1,862) and MRI-derived brain variables (n = 432).
With regard to structural brain variables, less relative decline in cognitive function between age 11 and the 70s is associated with better white matter structure [ 30], having fewer white matter hyperintensities [ 7], having less brain atrophy [ 31] and having fewer iron deposits [ 32].
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In a previous study 2 of the same cohort we found that within this group of severely injured patients, a relatively nuanced differentiation of prognosis based on acute injury variables (summarised by the CRASH composite incorporating acute GCS, pupillary reactions, extracranial injury, age, country and 5 acute CT-brain variables) did not significantly contribute to outcome prediction.
There were no associations between development of retinopathy and measured brain imaging variables, but modest associations were present with cognitive variables (Supplementary Table 2).
Variables analyzed included CMD lactate, pyruvate, glucose, glutamate, lactate/pyruvate ratio, and main brain physiologic variables ICP, PbtO2, CPP.
#All brain structure variables performed using MRI.
In addition, the internal brain response variables could be documented in more detail.
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