Gao et al reported 2 models for predicting gestational diabetes in a pregnant Chinese woman. The second model uses additional clinical findings. The authors are authors are from Tianjin Medical University, Tianjin Women and Children's Health Center, The Chinese University of Hong Kong, Dalhousie University and Pennington Biomedical Research Center (Baton Rouge).
Patient selection: pregnant Chinese woman
Parameters:
(1) maternal age in years
(2) body mass index (BMI) at registration in kg per square meter
(3) systolic blood pressure in mm Hg
(4) serum ALT in IU/L
(5) family history of diabetes
(6) body height in cm
(7) physical activity during pregnancy
(8) sitting time at home in hours per day
(9) weight gain in kilograms
(10) passive smoking
Parameter
Finding
Points
maternal age in years
0.0978 * (years)
BMI
0.1366 * (BMI)
systolic blood pressure
0.013 * (SBP)
serum ALT
0.7004 * LOG10(ALT)
family history
no
0
yes
0.4909
body height in cm
-0.0215 * (height)
physical activity
low level
0
moderate to high level
-0.2374
sitting time
< 2 hours per day
0.1825
2 to 4 hours
0.3650
> 4 hours
0.5475
weight gain
0.0351 * (weight gain)
passive smoking
no
0
yes
0.3058
value of X =
= SUM(points for all 10 parameters) - 8.0732
probability of gestational diabetes =
= 1 / (1 + EXP((-1) * X))
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