The kidney pathology predicts the brain pathology in SHRSP.

Table 2 demonstrates the sensitivity (Se) and specificity (Sp) of the graduation of kidney pathology (rows, kidney pathology per field of view (FOV), see also Figure 1 and Material & Methods) to predict brain pathology (columns) in SHRSP. Data were assessed by creating ROC-curves integrating the degree of the kidney pathology and the age of SHRSP. Kidney pathology with the highest combined sensitivity and specificity predicts certain stages of brain pathology. Note that the advanced stages of the brain pathology are associated with a more severe graduation of the kidney pathology.