Teede et al developed a tool for the early identification of a woman at risk for gestational diabetes. This allows for an early intervention to prevent or reduce the disorder. The authors are from Monash University in Australia.
Patient selection: pregnant woman
Parameters:
(1) woman's age in years
(2) body mass index in kg per square meter
(3) ethnicity
(4) family history of diabetes
(5) past history of gestational diabetes
(6) history of poor obstetric outcome
Parameter |
Finding |
Points |
age |
< 25 |
0 |
|
25 to 34 |
1 |
|
>= 35 |
2 |
BMI |
< 20 |
0 |
|
20 to 34.9 |
1 |
|
>= 35 |
2 |
ethnicity |
Anglo-Australian |
0 |
|
Polynesian |
1 (?2) |
|
African |
1 |
|
Mainland SE Asian |
2 |
|
other Asian |
1 |
|
other |
0 |
family history |
no |
0 |
|
yes |
1 |
past history of gestational diabetes |
no |
0 |
|
yes |
2 |
history of poor obstetric outcome |
no |
0 |
|
yes |
0 |
where:
• In Table 1 Polynesian ethnicity is assigned 1 point. However, on page 502 it is stated that it is associated with the highest risk.
total score =
= SUM(points for all of the parameters)
Interpretation:
• minimum score: 0
• maximum score: 9
• A score >= 4 had the highest Youden index.
Performance:
• The area under the ROC curve is 0.70.
Specialty: Endocrinology, Obstetrics & Gynecology