Table 5.
Multivariate regression analyses on associations between CKD-related brain abnormalities and neurocognitive functioning
| Outcome variable | Predictors retained in the model | Statistics | Model performance | ||||
|---|---|---|---|---|---|---|---|
| B (SE) | β | P | F | R2 | p | ||
| eFSIQ | Parental educational level | 4.92 (2.27) | 0.258 | 0.042 | 28.34 | 0.739 | < 0.001 |
| FA within the cluster of CKD-affected white matter tracts associated with eFSIQ | 513.11 (93.48) | 0.751 | < 0.001 | ||||
| Processing speed and working memory | Age (years) | − 0.07 (0.03) | − 0.450 | 0.013 | |||
| Parental educational level | 0.78 (0.28) | 0.466 | 0.011 | 8.35 | 0.455 | 0.002 | |
MRI data and neurocognitive data were available for a subsample of CKD patients (n = 23) [10]. Age, sex, and parental educational level were added as covariates to all analyses
Abbreviations: CKD = chronic kidney disease, eFSIQ = estimated age-standardized full-scale intelligence quotient, FA = fractional anisotropy, SE = standard error