Table 2. The kidney pathology predicts the brain pathology in SHRSP.

	Erythrocyte accumulations brain	Microbleeds brain	Microthrom-boses brain
Erythrocyte aggregations kidney cortex	0.04/FOV (Se 88.2%, Sp 70%)	0.55/FOV (Se 83.3%, Sp 61.5%)	0.92/FOV (Se 100%, Sp 61.4%)
Erythrocyte aggregations kidney medulla	0.17/FOV (Se 86.3%, Sp 80%)	1.18/FOV (Se 77.8%, Sp 83.7%)	2.18/FOV (Se 100%, Sp 82.5%)
Protein cylinders kidney cortex	0.02/FOV (Se 78.4%, Sp 80%)	0.19/FOV (Se 100%, Sp 56.8%)	1.89/FOV (Se 100%, Sp 96.5%)
Protein cylinders kidney medulla	0.14/FOV (Se 80.4%, Sp 80%)	1.45/FOV (Se 83.3%, Sp 67.4%)	2.85/FOV (Se 100%, Sp 98.2%)

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.