Variable

For logistic regression

For linear discriminant analysis

p-value before

Transformation

p-value after

p-value before

Transformation

p-value after

Age

0.364

0.853

Years of school education

0.449

0.462

Weight

0.280

0.267

BMI

0.006

(x − 27.8)²

0.051

0.004

(x − 28.0)²

0.059

Heart rate

0.149

0.806

Diastolic blood pressure

0.704

0.291

Systolic blood pressure

<0.001

(x − 142.0)²

0.756

<0.001

(x − 142.0)²

0.133

Mean blood pressure

0.028

x⁻²

0.516

0.003

(x − 108.7)²

0.707

Hematocrit

0.001

(x − 43.4)²

0.051

<0.001

(x − 43.4)²

0.220

Hemoglobin

0.068

0.005

(x − 15.3)²

0.222

ePVS

0.242

0.034

(x − 3.3)²

0.300

Serum creatinine

0.376

0.007

x²

0.352

eGFR

0.004

x⁻¹

0.648

<0.001

x⁻²

0.487

Serum potassium

0.067

0.056

Serum sodium

0.055

0.031

(x − 142.3)²

0.455

Uricemia

<0.001

(x − 6.7)²

0.383

<0.001

(x − 6.7)²

0.975

Triglycerides

0.023

x⁻²

0.672

0.009

x⁻²

0.220

Cholesterol HDL

0.009

x⁻²

0.819

0.001

x⁻²

0.404

Total cholesterol

0.011

x⁻²

0.230

0.001

(x − 192.5)²

0.051

Bilirubin

0.210

0.800

Glycemia

0.924

0.609

NT-proBNP

<0.001

Ln(x)

0.407

<0.001

x^0.5

LVEF

<0.001

(x − 42.8)²

0.228

<0.001

(x − 42.7)²

0.959