| DIFFERENCE
IN SCREENING THRESHOLD VALUES AND ETHNIC DIFFERENCES IN THE RATE OF GDM |
| Author |
Site |
Threshold for OGTT |
Race |
Prevalence* |
| Green |
S.F. |
>150mg/dl |
White |
1.6 |
| |
|
|
Black |
1.7 |
| |
|
|
Hispanic |
4.2 |
| Berkowits |
New York |
>= 135mg/dl |
White |
2.3 |
| |
|
|
Black |
3,7 |
| |
|
|
Hispanic |
4.1 |
| Dooley |
Chicago |
>=130mg/dl |
White |
2.7 |
| |
|
|
Black |
3.3 |
| |
|
|
Hispanic |
4.4 |
|
* 50g-1hr, 100g-3 hr OGTT
|
Here is an example of the screening threshold values and the differences in the prevalence of GDM.
Green’s study conducted in San Francisco shows differences in ethnicity in GDM prevalence. Ethnic
differences were also observed in the other two studies conducted in both New York and Chicago.
However, rates differ when one compares study sites within the same ethnic group. For example,
the Caucasion GDM rate was the highest within the Chicago population followed by New York and San
Francisco. This phenomena was also observed in the other two ethnic groups. Closely observing
differences in the threshold values, one immediately notices certain trends: The lower the
threshold values, the higher the prevalence of GDM. The three studies used the same glucose
load during the screening and the diagnostics test. The same diagnostic values were also used.
The only difference was the threshold values. This slide clearly indicates that unless the
researchers use the exact same methods, geographic comparison of GDM rates are not possible.
|
