From: Artificial neural network - an effective tool for predicting the lupus nephritis outcome
Patients’ parameters [N]* | Study Cohort (Training set) N = 46 | Test Cohort (Testing set) N = 12 |
---|---|---|
Gender [men/women] | 8/38 | 2/10 |
Age at biopsy [years] | 35.50 ± 14.06 | 38.17 ± 14.06 |
LN class II/III/IV/V/VI | 1/10/21/9/5 | 0/2/4/3/3 |
Number of glomeruli in specimen | 20.83 ± 10.21 | 18.08 ± 6.26 |
Number of totally sclerotic glomeruli | 1.61 ± 3.08 | 2.92 ± 4.68 |
Number of partially sclerotic glomeruli | 3.95 ± 7.79 | 3.25 ± 3.93 |
Number of cellular/cellular-fibrotic crescents | 1.43 ± 3.07 | 0.50 ± 1.45 |
Number of glomeruli with fibrillary necrosis | 2.52 ± 4.85 | 1.58 ± 2.07 |
Number of glomeruli without changes | 1.09 ± 2.50 | 0.25 ± 0.87 |
Activity Index | 8.99 ± 4.77 | 8.83 ± 3.51 |
Chronicity Index | 2.95 ± 1.91 | 3.92 ± 2.78 |
Interstitial fibrosis [%] | 9.02 ± 5.74 | 13.33 ± 10.73 |
WBC [10^3/ul] | 8.09 ± 3.26 | 7.34 ± 1.81 |
NEU [10^3/ul] | 5.49 ± 2.61 | 5.60 ± 2.09 |
LYM [10^3/ul] | 1.90 ± 0.95 | 1.28 ± 0.71 |
NLR | 3.90 ± 4.06 | 6.42 ± 5.05 |
HGB [g/dl] | 12.06 ± 1.82 | 11.26 ± 1.19 |
PLT [10^3/ul] | 238.35 ± 79.15 | 197.92 ± 70.78 |
PLR | 176.80 ± 147.66 | 219.48 ± 132.10 |
ERS [mm/1 h] | 37.75 ± 24.92 | 28.27 ± 15.11 |
CRP [mg/dl] | 4.59 ± 8.67 | 2.16 ± 2.70 |
sCr [mg/dl] | 1.27 ± 0.69 | 1.32 ± 0.48 |
eGFR [ml/min/1.73 m2] | 67.98 ± 26.65 | 57.08 ± 26.05 |
TP [g/dl] | 5.35 ± 0.95 | 5.23 ± 0.89 |
Albumin [g/dl] | 2.87 ± 0.58 | 2.82 ± 0.52 |
Total Cholesterol [mg/dl] | 274.77 ± 80.20 | 243.48 ± 89.49 |
Triglycerides [mg/dl] | 202.75 ± 114.55 | 171.70 ± 68.39 |
C3 [g/l] | 0.86 ± 0.29 | 0.76 ± 0.29 |
C4 [g/l] | 0.18 ± 0.09 | 0.16 ± 0.12 |
ANA (0/1/undefined) | 1/39/6 | 2/9/1 |
Erythrocyturia [RBC/HPF] | 10/19/17 | 3/4/5 |
UPCR [mg/mg] | 2.91 ± 2.12 | 4.76 ± 4.83 |
Target - CR [1/0] | 14/32 | 4/8 |