Use of the National Diabetes Data Group and the Carpenter-Coustan criteria for assessing gestational diabetes mellitus and risk of adverse pregnancy outcome
verfasst von:
Mei-Chun Lu, Song-Shan Huang, Yuan-Horng Yan, Panchalli Wang
The influence of different diagnostic thresholds for gestational diabetes mellitus (GDM) on pregnancy outcomes is not fully understood. Degrees of glucose intolerance according to the Carpenter-Coustan (CC) criteria were less severe than the National Diabetes Data Group (NDDG) criteria for GDM. Recent studies have shown inconsistent results regarding the risk of adverse pregnancy outcomes between the NDDG and CC criteria. Therefore, the objective of this study was to investigate whether pregnant women who met only the CC criteria but not the NDDG criteria and those who met the NDDG criteria had increased risks of adverse pregnancy outcomes compared to a negative screening group.
Methods
A total of 11,486 Taiwanese pregnancies were enrolled in a retrospective cohort study. The study subjects were classified as follows: (1) negative screening group: women with negative 50-g glucose challenge test (GCT) results, (2) false-positive screening group: women with positive GCT results and negative 100-g OGTT results according to both CC and NDDG criteria, (3) CC-only-GDM group: women with positive GCT results plus GDM diagnosis meeting the CC but not the NDDG criteria, and (4) NDDG-GDM group: women diagnosed with GDM using the NDDG criteria. Multiple mixed effects logistic regression analysis was used to examine the relationships between the groups and pregnancy outcomes.
Results
There were 9002 (78.4 %), 1776 (15.5 %), 251 (2.2 %), and 457 (4.0 %) study pregnancies in the 4 groups. Compared with the negative screening group, the maternal outcomes were not different within groups except for gestational hypertension/preeclampsia. For neonatal outcomes, the CC-only-GDM group had significantly greater risks of macrosomia, low birth weight, and admission to a neonatal intensive care unit [adjusted odds ratio (aOR), (95 % confidence interval, CI): 2.73 (1.18–6.31), 1.64 (1.01–2.64), and 1.61 (1.05–2.46), respectively]. The NDDG-GDM group also showed significantly greater risks, and the false-positive screening group showed no differences from the negative screening group.
Conclusion
Women who met only the CC criteria and women who met NDDG criteria had significant increased risks of adverse neonatal outcomes. This evidence adds important information to the current debate about the diagnostic criteria for GDM regarding pregnancy outcomes.
The online version of this article (doi:10.1186/s12884-016-1030-9) contains supplementary material, which is available to authorized users.
Abkürzungen
ACOG
The American College of Obstetricians and Gynecologists
BMI
Body mass index
CC
The Carpenter-Coustan criteria
CI
Confidence interval
GCT
Glucose challenge test
GDM
Gestational diabetes mellitus
HAPO
The Hyperglycemia and Adverse Pregnancy Outcome observational study
IADPSG
The International Association of Diabetes and Pregnancy Study Groups
NDDG
The National Diabetes Data Group criteria
NICU
Admission to the neonatal intensive care
OGTT
Oral glucose tolerance test
OR
Odds ratio
Background
The prevalence of gestational diabetes mellitus (GDM) ranges between 0.7 and 10.1 % according to different diagnostic criteria worldwide [1‐4]. Although the early detection of GDM is important for reducing adverse pregnancy outcome, its diagnosis remains controversial [5‐8]. In 2001, the American College of Obstetricians and Gynecologists (ACOG) recommended a two-step approach: a 50-g, 1-h glucose challenge test (GCT) and a 100-g, 3-h oral glucose tolerance test (OGTT) for pregnant women with a positive GCT [9]. Two diagnostic criteria, the National Diabetes Data Group (NDDG) criteria [10] and the Carpenter-Coustan (CC) criteria [11] for the 100-g OGTT could be used. In our hospital, GDM is diagnosed according to the NDDG criteria when two or more plasma glucose levels exceed or are equal to 105, 190, 165, and 145 mg/dL for the fasting, 1-, 2- and 3-h plasma glucose tests, respectively [10]. The glucose levels described in the CC criteria are 95, 180, 155, and 140 mg/dL for the fasting, 1-, 2- and 3-h plasma glucose tests, respectively [11].
In 2010, the International Association of Diabetes and Pregnancy Study Groups (IADPSG) developed new diagnostic criteria that are based on the Hyperglycemia and Adverse Pregnancy Outcome (HAPO) [5, 6]. The ACOG subsequently reaffirmed its recommendation of the two-step approach because of concerns about a new one-step approach, which showed no evidence of improving pregnancy outcomes and would significantly increase health care costs [7, 12]. Recently, ADA indicated that GDM screening can be accomplished using either of two strategies: the one-step 2-h 75-g OGTT or the two-step approach with a 1-h 50-g GCT followed by a 3-h 100-g OGTT for those who were GCT-positive.
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Despite the different recommendations for the diagnostic threshold of GDM, the two-step approach remains commonly used worldwide. However, both the NDDG and CC criteria have been used, and the ACOG has not recommended either set of criteria over the other [13]. The National Institutes of Health (NIH) consensus development conference also recommends the use of the two-step approach with a 100-g OGTT using the CC or NDDG criteria [14].
Recent studies have attempted to determine whether the use of CC criteria or NDDG criteria affect pregnancy outcome but showed inconsistent results regarding the risk of adverse pregnancy outcome between the NDDG and CC criteria [15‐20]. Additional file 1: Table S1 is a brief summary of these results. Thus, it was important to determine and understand the prevalence and risk for pregnant women with GDM who were diagnosed based only on the CC criteria (not on the NDDG criteria). Therefore, our main hypothesis was that the risk of adverse pregnancy outcome in women who were diagnosed with GDM based only on the CC criteria but not meeting the NDDG criteria was significantly higher than the risk in women who screened as negative based on the GCT. The second hypothesis was that there was an increased risk of adverse pregnancy outcome in women with GDM according to the NDDG criteria and that there was no difference in women with false-positive screening compared to women with negative 50-g GCT results.
Methods
Study participants and data collection
This retrospective cohort study collected laboratory data and medical records from pregnant women who were administered a 50-g GCT at 24 to 28 weeks of gestation and were delivered at the Ditmanson Medical Foundation Chia-Yi Christian Hospital (DMF-CYCH) between March 2006 and January 2013. Women with multifetal pregnancies, pre-existing diabetes, and pre-existing hypertension were excluded. This study was approved by the Institutional Review Board of the DMF-CYCH (CYCH IRB No: 100006). Plasma glucose levels were measured using a Hitachi 7170 automatic analyzer (Hitachi Co., Tokyo, Japan) at the DMF-CYCH central laboratory according to a standard clinical protocol.
Two-stage approach for GDM screening and the classification of study participants
The study included all women who underwent the two-step approach for screening and diagnosing GDM during the study period. The GCT was considered negative if the screening value was <140 mg/dL. If the GCT was positive, the women subsequently underwent a 100-g, 3-h OGTT to confirm GDM. Study subjects were classified as follows: (1) negative screening group: women with negative GCT results, (2) false-positive screening group: women with positive GCT results and negative 100-g OGTT results according to both CC and NDDG criteria, (3) CC-only-GDM group: women with positive GCT results plus GDM diagnosis meeting the CC but not the NDDG criteria, and (4) NDDG-GDM group: women diagnosed with GDM using the NDDG criteria.
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Pregnancy outcomes: neonatal and maternal outcomes
The measured pregnancy outcomes included adverse neonatal outcomes (including macrosomia (>4000 g), preterm labor (delivery before 37 weeks), low birth weight (<2500 g), admission to neonatal intensive care (NICU), and Apgar scores <7 at 1/5 min) and maternal outcomes (including cesarean section, gestational hypertension or preeclampsia, shoulder dystocia, third- or fourth-degree perineal laceration, and postpartum hemorrhage). Gestational hypertension was defined as blood pressure ≥140 mmHg systolic or ≥90 mmHg diastolic after 20 weeks of gestation in a woman with previously normal blood pressure and blood pressure levels that returned to normal postpartum. Preeclampsia was characterized by gestational hypertension and proteinuria (≥0.3 g/day or ≥1+ on a urine dipstick) with or without pathologic edema [21].
Statistical analysis
In total, 9580 women and 11,468 pregnancies were enrolled in the study. Among the women, 1814 (18.9 %) were recruited more than once because of multi-gravidity during the study period. Therefore, the difference among the glucose level groups was evaluated using the SAS SURVEYFREQ, SURVEYMEANS and SURVEYREG procedures. Data was clustered according to subject, and the variance of proportion was estimated using the Taylor series linearization method. The Rao-Scott chi-square test was used to test the categorical variables. The Wald F test was used for continuous data. Multiple mixed effects logistic regressions were used to determine the relationships between pregnancy outcome and glucose level group after adjusting for nulliparity, maternal age, body mass index (BMI) at delivery, and delivery year. In addition to the above confounding factors, delivery type (Cesarean section or not) was added and adjusted for the maternal outcome of postpartum hemorrhage. The associations found were described in terms of the adjusted odds ratio (aOR) with a 95 % confidence interval (CI). Logistic regression is widely used to adjust for confounders, not only in case-control studies, but also in cohort studies, yielding an aOR that approximates the adjusted relative risk when the disease is rare (<10 % incidence) [22, 23]. In addition, we reviewed previous studies that are listed in the PubMed and Cochrane databases; 6 large-sample size studies reported the issue, and 4 of these articles used multiple logistic regressions to estimate risk. For comparison, we used logistic rather than Poisson regression. A two-sided p value < 0.05 was considered statistically significant. All data were merged and analyzed using SAS 9.2 (SAS Institute, Cary, NC, USA). Our study adheres to the STROBE (Strengthening the Reporting of Observational Studies in Epidemiology) guidelines.
Results
A total of 12,274 pregnancies who received a GCT at 24 to 28 weeks of gestation and who delivered at DMF-CYCH were enrolled. Among the cases, 289 women with multifetal pregnancies, pre-existing diabetes, and pre-existing hypertension were excluded; information on height or weight at delivery was missing for 22 pregnancies. An additional 477 pregnancies were excluded from the analysis due to incomplete OGTT data. Thus, a total of 11,486 pregnancies were included in the study; of these, 9002 (78.4 %) screened negative, 1776 (15.5 %) screened false-positive, 251 (2.2 %) had CC-only-GDM, and 457 (4.0 %) had NDDG-GDM (Fig. 1). The characteristics of the study population among the 4 groups are shown in Table 1. The distributions differed among these groups.
Fig. 1
Flowchart of the study population. Footnote: GCT = glucose challenge test; DMF-CYCH = Ditmanson Medical Foundation Chia-Yi Christian Hospital; OGTT = oral glucose tolerance test; GDM = gestational diabetes mellitus; CC = Carpenter-Coustan criteria; NDDG = National Diabetes Data Group criteria
Table 1
Characteristics of the study population
Negative screening
False-positive screening
CC-only-GDM (not meeting NDDG)
NDDG-GDM
P
Number of observations
9002
1776
251
457
Number of clusters
7640
1699
249
434
Nulliparous status
Yes
4627 (51.4)
936 (52.7)
115 (45.8)
212 (46.4)
0.03a
No
4375 (48.6)
840 (47.3)
136 (54.2)
245 (53.6)
Maternal age (years)
29.0 (28.9–29.1)
30.6 (30.4–30.8)
32.1 (31.5–32.6)
32.5 (32.0–32.9)
<0.001b
BMI at delivery (kg/m2)
26.7 (26.6–26.8)
27.2 (27.0–27.4)
28.2 (27.8–28.7)
28.1 (27.7–28.5)
<0.001b
50-g GCT levels (mg/dL)
110.4 (110.0–110.7)
158.0 (157.3–158.7)
164.8 (162.4–167.3)
179.7 (177.0–182.3)
<0.001b
Data are presented as means (95 % confidence interval) or n (%)
CC Carpenter-Coustan criteria, GDM gestational diabetes mellitus, NDDG National Diabetes Data Group criteria; BMI body mass index, GCT glucose challenge test
aThe Rao-Scott chi-square test was performed using SAS SURVEYFREQ produces
bANOVA was performed using SAS SURVEYREG produces the Wald F test with their corresponding p-values
×
Table 2 shows that the neonatal outcomes were significantly associated with the 4 groups, including macrosomia (0.8 to 3.5 %, P < 0.001), preterm labor (6.5 to 12.3 %, P < 0.001), low birth weight (5.6 to 9.0 %, P = 0.01), and NICU admission (6.5 to 12.7 %, P < 0.001); all of these conditions presented significantly higher incidence rates with higher glucose levels. The incidences of the maternal outcomes did not differ among the 4 glucose level groups, except for total cesareans (30.2 to 42.2 %, P < 0.001) and gestational hypertension or preeclampsia (2.8 to 7.0 %, P < 0.001), for which the incidence increased with glucose level.
Table 2
Pregnancy outcomes associated with the 4 glucose level groups
Variable
Number
Negative screening (n = 9002)
False-positive screening (n = 1776)
CC-only-GDM (not meeting NDDG) (n = 251)
NDDG-GDM (n = 457)
Rao-Scott Chi-Square
P
Neonatal outcome
Macrosomia (>4000 g)
120/11,486
75 (0.8)
22 (1.2)
7 (2.8)
16 (3.5)
39.0
<0.001
Preterm labor (<37 weeks)
789/11,486
581 (6.5)
127 (7.2)
25 (10.0)
56 (12.3)
27.0
<0.001
Low birth weight (<2500 g)
673/11,486
507 (5.6)
105 (5.9)
20 (8.0)
41 (9.0)
10.9
0.01
Admission to NICUa
789/11,471
584 (6.5)
121 (6.8)
26 (10.4)
58 (12.7)
31.1
<0.001
Apgar score <7 at 1 min
127/11,486
99 (1.1)
17 (1.0)
4 (1.6)
7 (1.5)
1.7
0.64
Apgar score <7 at 5 min
37/11,486
28 (0.3)
8 (0.5)
-
1 (0.2)
-
-
Maternal outcome
Cesarean section
3632/11,486
2721 (30.2)
617 (34.7)
101 (40.2)
193 (42.2)
46.3
<0.001
Gestational hypertension or preeclampsia
383/11,486
255 (2.8)
82 (4.6)
14 (5.6)
32 (7.0)
38.6
<0.001
Shoulder dystociab
79/7854
64 (1.0)
7 (0.6)
3 (2.0)
5 (1.9)
5.5
0.14
Third- or fourth-degree perineal lacerationb
429/7854
337 (5.4)
69 (6.0)
9 (6.0)
14 (5.3)
0.7
0.86
Postpartum hemorrhage
98/11,486
76 (0.8)
16 (0.9)
3 (1.2)
3 (0.7)
0.6
0.89
Data are presented as n (%)
CC Carpenter-Coustan criteria, GDM gestational diabetes mellitus, NDDG National Diabetes Data Group criteria, NICU neonatal intensive care unit
The Rao-Scott Chi-Square test was performed
aExcluding neonatal death
bOnly including vaginal delivery
Table 3 shows the odds ratios of the outcomes after adjusting for confounding factors. Compared with the negative screening group, women with CC-only-GDM had significantly higher odds of macrosomia (aOR, 2.73; 95 % CI, 1.18–6.31), low birth weight (aOR, 1.64; 95 % CI, 1.01–2.64), and NICU admission (aOR, 1.61; 95 % CI, 1.05–2.46). The NDDG-GDM group also showed significant results with greater aOR (95 % CI): 3.15 (1.71–5.80), 1.81 (1.28–2.56), and 1.98 (1.47–2.68), respectively. The false-positive screening group did not differ from the negative screening group. Maternal outcomes did not significantly differ in the multivariable analyses, with the exceptions of gestational hypertension and preeclampsia.
Table 3
Adjusted odds ratios for pregnancy outcomes
Variable
Negative screening (n = 9002)
False-positive screening (n = 1776)
CC-only-GDM (not meeting NDDG) (n = 251)
NDDG-GDM (n = 457)
Neonatal outcome
Macrosomia (>4000 g)
1
1.30(0.79–2.15)
2.73(1.18–6.31)c
3.15(1.71–5.80)c
Preterm labor (<37 weeks)
1
1.09(0.89–1.34)
1.53(0.99–2.37)
1.90(1.39–2.58)c
Low birth weight (<2500 g)
1
1.07(0.85–1.33)
1.64(1.01–2.64)c
1.81(1.28–2.56)c
Admission to NICUa
1
1.02(0.83–1.25)
1.61(1.05–2.46)c
1.98(1.47–2.68)c
Apgar score <7 at 1 min
1
0.78(0.46–1.32)
1.20(0.43–3.35)
1.13(0.51–2.51)
Maternal outcome
Cesarean section
1
1.06(0.94–1.21)
1.11(0.82–1.50)
1.19(0.95–1.49)
Gestational hypertension or preeclampsia
1
1.36(1.04–1.79)c
1.42(0.79–2.58)
1.70(1.11–2.60)c
Shoulder dystociab
1
0.61(0.27–1.34)
1.95(0.59–6.46)
2.02(0.78–5.23)
Third- or fourth-degree perineal lacerationb
1
1.04(0.78–1.37)
1.05(0.52–2.14)
0.98(0.55–1.74)
Postpartum hemorrhage
1
1.02(0.59–1.77)
1.26(0.39–4.08)
0.68(0.21–2.21)
Data are presented as adjusted odds ratios (95 % confidence intervals)
Odds ratios were adjusted for nulliparity, maternal age, body mass index at delivery, and delivery year. In addition to the above confounding factors, delivery type (Cesarean section or not) was added for adjustment based on the perinatal outcome of postpartum hemorrhage
CC Carpenter-Coustan criteria, GDM gestational diabetes mellitus, NDDG National Diabetes Data Group criteria, NICU neonatal intensive care unit
aExcluding neonatal death
bOnly including vaginal delivery
c95 % confidence interval did not include 1
Discussion
Our result was concordant with other studies that use of the CC criteria of 100-g OGTT in the two-step approach increased the prevalence of GDM. Previous studies comparing the NDDG and CC criteria were conducted in the Eastern U.S. [20], Western U.S. [16, 18], Canada [15], Spain [17], Turkey [24], and Taiwan [19]. The increase in prevalence of GDM in our study was similar to that found in two large sample studies [16, 18]. The GDM prevalence increased from 31.8 to 125.7 % (Additional file 1: Table S1) using the CC criteria compared with the NDDG criteria, possibly due to differences in ethnicity, lifestyle, or policies.
The findings of the study agreed with previous studies in that the additional patients that are diagnosed by CC-only-GDM criteria are at higher risk of adverse pregnancy outcome [15, 16, 18, 20]. In addition to fetal macrosomia, the pregnant women who were diagnosed based on CC-only-GDM criteria were also at significantly increased risk of low birth weight and admission to NICU; these represent new findings (Additional file 1: Table S1). Our findings provide important additional information to the current debate about the diagnostic criteria for GDM regarding pregnancy outcome [25].
Although the incidence of macrosomia in the study was lower than that found in other studies [15‐20], the rate remained significantly higher in the CC-only-GDM group than in the screening negative group. After adjusting for confounding factors, macrosomia remained a greater risk, consistent with the data reported by Berggren et al. [20]. However, a study in Spain did not yield significant findings [17].
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For other neonatal outcomes, our results also showed strong evidence of significantly increased risks of low birth weight and admission NICU, and weak evidence of increased risk of preterm labor. Regarding the risk of NICU admission, two U.S. studies showed no association with the CC-only group [18, 20]; however, our data showed a significant association. Regarding low birth weight, the study of Berggren et al. showed no significant risk; however, our study showed a 1.6-fold higher risk compared to the screening negative group [20]. Regarding preterm labor, previous studies showed no significant association after adjusting for confounding factors [17, 18, 20], with the exception of Hedderson et al. [16]. Our result regarding preterm labor was similar to that reported by Hedderson et al., and the adjusted odds ratios were 1.53 (0.99–2.37) and 1.53 (1.16–2.03), respectively.
In contrast, regarding adverse maternal outcomes, our results showed that Cesarean section, gestational hypertension and preeclampsia exhibited increasing incidence as glucose levels increased from the screening negative group to the NDDG-GDM group; however, the findings did not reach statistical significance in the CC-only-GDM group after adjusting for confounding factors. These results were different than those obtained in previous studies, which showed that the incidence of cesarean section [15, 16, 18, 20], gestational hypertension, and preeclampsia [16, 17, 20] was higher in the CC-only-GDM group. We speculated that this result might have been influenced by factors such as ethnicity and the BMI variable. We used BMI at delivery to adjust the risk of pregnancy outcomes instead of the pre-pregnancy BMI, because the latter information was often missing in the database.
A similar study by Chou et al. in Taiwan enrolled 10,990 pregnancies in the urban area of northern Taiwan [19]. The prevalence of CC-only-GDM in this study and in our study was 4.4 and 2.2 %, respectively. The prevalence of NDDG-GDM in this study and in our study was 4.0 and 3.5 %, respectively. These findings demonstrated that women with GDM based on the CC criteria but not based on the NDDG criteria experienced a significant increase in macrosomia compared with women without GDM (4.5 vs. 2.3 %, P <0.05). Other outcomes showed negative findings. Although both studies were conducted in Taiwan, the urban area (northern Taiwan) studied by Chou was different from the area examined in our study, which enrolled pregnant women in a rural area in southern Taiwan. Environmental factors, nutritional habits and socioeconomic status are therefore potential confounding factors. Furthermore, the maternal age and gestational age at delivery in Chou’s study were different than in the current study (32.0 ± 0.4 vs. 29.5 ± 4.6 years old; 38.5 ± 0.1 vs. 38.3 ± 1.4 gestational weeks).
Recent studies have focused on the new IADPSG criteria, which have further broadened the diagnostic criteria and stimulated debate about their cost-effectiveness [24, 26‐28]. The latest ACOG practice bulletin clearly supports the two-step approach because the new IADPSG criteria would significantly increase health care costs and recommends that before the testing approach and diagnostic criteria for GDM are changed, the implications of such changes should be studied [12]. We have used the two-step approach for several years, and 6.2 % of GDM according to the CC is appropriate and available for all populations that are covered by National Health Insurance. If the NDDG criteria were replaced by the CC criteria, the number of pregnant women diagnosed with GDM would increase by half, apparently increasing the burden of prenatal care. However, the higher cost of adverse neonatal outcomes on health care and society might be reduced, including long-term poor outcomes such as type 2 diabetes mellitus and the risk of childhood obesity and abnormal glucose metabolism [29‐31]. The cost-effective estimation of such potential outcomes warrants further study.
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The study had several limitations; first, to the study was a single-hospital retrospective study. Therefore, the results obtained for Taiwanese women in the current study should not be generalized. The existing evidence is insufficient to build consensus regarding the diagnostic criteria for GDM on pregnancy outcome [25, 32, 33]. Further prospective studies and reviews are needed. Second, it would be interesting to expand our analyses by applying the IADPSG criteria to those who screened as positive and did not meet the NDDG criteria. However, because IADPSG uses a one-step approach requiring the full OGTT for the entire study population, we have no data regarding the ideas in the current study. Despite these limitations, the large sample of Asian women involved represented a major strength of our study.
Conclusions
Our findings suggested that diagnosing GDM according to the less strict CC criteria would detect a greater number of adverse neonatal outcomes. Women who met the CC criteria but not the NDDG criteria as well as women who met the NDDG criteria were at greater risk for macrosomia, low birth weight, and admission to the NICU compared with women who screened as negative. This evidence adds important information to the current debate regarding the diagnostic criteria for GDM on pregnancy outcomes.
Acknowledgements
We thank Chi-Chen Lin and Chung-Hsien Li of the Department of Information Technology at DMF-CYCH for their assistance with data acquisition. We also thank Dr. Lung-Chang Chien of the Department of Biostatistics at the University of Texas School of Public Health at the San Antonio Regional Campus for advice regarding statistics.
Authors’ contributions
All authors (MCL, SSH, YHY, PW) contributed to the study design and data interpretation. MCL performed the data analysis. MCL, YHY drafted the manuscript. All authors (MCL, SSH, YHY, PW) critically revised the manuscript and approved the final version.
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Competing interests
The authors declare that they have no competing interests.
Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
Use of the National Diabetes Data Group and the Carpenter-Coustan criteria for assessing gestational diabetes mellitus and risk of adverse pregnancy outcome
verfasst von
Mei-Chun Lu Song-Shan Huang Yuan-Horng Yan Panchalli Wang
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