Md. Berkus et al., EFFICIENCY OF LOWER THRESHOLD CRITERIA FOR THE DIAGNOSIS OF GESTATIONAL DIABETES, Obstetrics and gynecology, 86(6), 1995, pp. 892-896
Objectives: To determine the incidence of adverse outcome in normal un
treated gravidas with minimal hyperglycemia, classified as having gest
ational diabetes mellitus (GDM) by threshold criteria lower than curre
nt standards; to determine how efficient the different criteria are in
identifying infants at risk for morbidity; and to explore the pathoph
ysiology of minimal hyperglycemia using the glucose tolerance test (GT
T) periodicity concept. Methods: Seven hundred eight subjects consider
ed nondiabetic by current ACOG criteria were reclassified by the crite
ria of Coustan (fasting 95, 1 hour 180, 2 hours 155, and 5 hours 140 m
g/dL), Sacks (96, 172, 152, and 131 mg/dL), or Langer (at least one ab
normal ACOG value). Glucose tolerance test periodicity, the incidence
of large for gestational age (LGA) neonates, and macrosomia were then
determined for each gravida diagnosed as having GDM by these criteria.
Results: Both Coustan and Langer criteria identified a significantly
greater incidence of LGA infants compared with non-GDM (23.6 and 25.3%
, respectively, versus 14%, P < .05), and identified them as efficient
ly as current criteria, approximately one LGA infant for every four GD
M subjects treated. The incidence of LGA did not differ between the Sa
cks GDM and non-GDM groups. Glucose tolerance test periodicity for new
ly diagnosed GDM gravidas was significantly longer than non-GDM for Co
ustan and Langer criteria (3.9 and 4.06 versus 3.3 hours, P < .01) but
not for the Sacks criteria. Conclusion: Using lower threshold criteri
a to diagnose GDM identified morbidity at an incidence and efficiency
comparable to current standards. These newly diagnosed GDM gravidas ha
d abnormal GTT characteristics, with each group exceeding the 3.5-hour
GTT periodicity limit previously found for nondiabetic gravidas. Sack
s's conversion of existing standards may be too low to efficiently ide
ntify pregnant subjects at risk for increased morbidity.