Description

Cooray et al reported the PeRSonal GDM model for predicting adverse pregnancy outcomes for a woman with gestational diabetes mellitus. The authors are from Monash University in Australia, University of Birmingham, CIBER Epidemiology and Public Health, and Birmingham Women's and Children's NHS Foundation Trust.


Patient selection: gestational diabetes mellitus

 

Adverse pregnancy outcomes: hypertensive disorder of pregnancy (eclampsia, pre-eclampsia), large for gestational age, neonatal hypoglycemia, shoulder dystocia, fetal death, neonatal death, bone fracture, nerve palsy

 

Parameters:

(1) maternal age in years

(2) pre-pregnancy body mass index in kg per square meter

(3) fasting glucose at baseline before OGTT in mmol/L

(4) blood glucose in mmol/L at 1 hour afer 75 g glucose load OGTT

(5) week of gestation at diagnosis of gestational diabetes

(6) ethnicity

(7) nulliparity

(8) previous large for gestational age (LGA) baby

(9) previous pre-eclampsia

(10) gestational weight gain per week to the diagnosis of gestational diabetes

(11) family history of diabetes

 

Parameter

Finding

Points

maternal age

 

0.01 * (age)

pre-pregnancy BMI

 

0.04 * (BMI)

fasting glucose OGTT

 

0.32 * (glucose)

1-hour glucose OGTT

 

0.06 * (glucose)

gestational age at GDM dx

 

-0.02 * (week)

ethnicity

East Asian

-0.14

 

Southern or Central Asian

-0.65

 

other

0

nuliparity

no

0

 

yes

0.17

previous LGA baby

no

0

 

yes

0.53

previous pre-eclampsia

no

0

 

yes

0.93

gestational weight gain

 

0.54 * (weight gain)

family history of diabetes

no

0

 

yes

-0.07

 

where:

• If a woman is nulliparous then the questions about previous pregnancies are not relevant.

 

value of X =

= SUM(points for all of the parameters) - 4.11

 

probability of adverse pregnancy outcome =

= 1 / (1 + EXP((-1) * X))

 

Performance:

• The area under the ROC curve is 0.68 which suboptimal.


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