Gao et al reported 2 models for predicting gestational diabetes in a pregnant Chinese woman. The first model used a limited number of data items. 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
Parameter
Finding
Points
maternal age in years
0.0941 * (years)
BMI
0.1278 * (BMI)
systolic blood pressure
0.0093 * (SBP)
serum ALT
0.6816 * LOG10(ALT)
family history
no
0
yes
0.5129
body height in cm
-0.0270 * (height)
value of X =
= SUM(points for all 6 parameters) - 5.7469
probability of gestational diabetes =
= 1 / (1 + EXP((-1) * X))
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