Creation of multiples of the median using data from controls
In the multiple regression model for log sFLT-1, significant independent contributions were provided by age, weight, Black racial origin, parity and history of previous preeclampsia (p= <0.001, R2= 0.251): Log sFLT-1 expected = 3.142305 + 0.007276 x age (in years) – 0.003325 x weight (in kg) + 0.102288 x Black racial origin – 0.172146 x multiparity + 0.158197 x previous preeclampsia.
In the multiple regression model for log PLGF, significant independent contributions were provided by age, weight and Black racial origin (p= <0.001, R2= 0.207): Log PLGF expected = 1.524666 + 0.008217 x age (in years) – 0.002721 x weight (in kg) + 0.170813 x Black racial origin.
In the multiple regression model for log sFLT-1/PLGF ratio, significant independent contributions were provided by parity alone (p= 0.001, R2= 0.082): Log sFLT-1/PLGF ratio expected = 1.486950 - 0.151459 if parous.