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. 2021 Nov 11;3(1):83–90. doi: 10.34067/KID.0003662021

Table 1.

Patient characteristics in the Artificial Intelligence in Renal Scarring study

Variable Patients, n (%)
Sex
 Male 45 (49)
 Female 47 (51)
Ethnicity
 Non-Hispanic White 16 (17)
 Hispanic White 31 (33)
 Black 4 (4)
 Asian 24 (26)
 Other/mixed race 17 (19)
Native versus transplant kidney biopsy
 Native 45 (49)
 Transplant 47 (51)
Kidney function, eGFR ml/min per 1.73 m2
 Degree of fibrosis on biopsy
  Mild (n=55)
   eGFR <15 14 (25)
    15–29 12 (22)
    30–44 9 (16)
    45–60 6 (11)
    >60 14 (25)
  Moderate (n=14)
   eGFR <15 4 (29)
    15–29 7 (50)
    30–44 1 (7)
    45–60 1 (7)
    >60 1 (7)
  Severe (n=23)
   eGFR <15 15 (65)
    15–29 6 (26)
    30–44 0
    45–60 2 (9)
    >60 0
Etiology of kidney disease diagnosed on biopsy a
 Interstitial fibrosis and tubular atrophy
 Acute tubular necrosis
 Lupus nephritis
 Membranous nephropathy
 Glomerulosclerosis
 IgA nephropathy
 Diabetic nephropathy
 Focal segmental glomerulosclerosis
 Transplant rejection

Mean age (±SD) was 50±20 years.

a

Some patients had >1 kidney disease etiology.