The prevalence of gestational diabetes mellitus recurrence—effect of ethnicity and parity: a metaanalysis




Reports on the gestational diabetes mellitus (GDM) recurrence rate have been highly variable. Our objectives were to examine the possible causes of GDM recurrence rate variability and to obtain pooled estimates in subgroups. We have carried out a systematic review and metaanalysis based on the Metaanalysis Of Observational Studies in Epidemiology statement. We identified papers published from 1973 to September 2014. We identified papers using Medline (PubMed and Ovid), ClinicalTrials.gov and Google Scholar databases, and published references. We included only English-language, population-based studies that reported specified GDM criteria and GDM recurrence rate. A total of 18 eligible studies with 19,053 participants were identified. We used the Cochrane’s Q test of heterogeneity to choose the model for estimating the pooled GDM recurrence rate. Metaregression was also used to explore the possible causes of variability between studies. The pooled GDM recurrence rate was 48% (95% confidence interval, 41–54%). A significant association between ethnicity and GDM recurrence rate was found ( P = .02). Non-Hispanic whites had lower recurrence rate compared with other ethnicities (39% and 56%, respectively). Primiparous women had a lower recurrence rate compared with multiparous women (40% and 73%, respectively; P < .0001) No evidence for association between family history of diabetes and GDM recurrence was found. The overall GDM recurrence rate is high. Non-Hispanic whites and primiparous women have substantially lower GDM recurrence rates, which contributes to the variability between studies. Because no association between family history of diabetes and GDM recurrence was found, the large differences between ethnic groups may have also resulted from nongenetic factors. Thus, intervention programs could reduce the GDM recurrence rates.


Gestational diabetes mellitus (GDM), a common medical complication of pregnancy, is defined as any degree of glucose intolerance with onset or first recognition during pregnancy. GDM is associated with increased risk of perinatal morbidity, maternal trauma, preeclampsia and eclampsia, and operative deliveries. Poor control of glycemic levels increases the rates of delivery by cesarean delivery and shoulder dystocia. Adverse outcomes may include macrosomia, neonatal intensive care unit admission, and perinatal death. As for the mothers’ long-term complications, GDM is a significant predictor of type 2 diabetes.


Prevalence of gestational diabetes mellitus varies widely. It may range from 1% to 14% of all pregnancies, depending on the population studied and the diagnostic tests used. In the past, 3 review articles discussed the prevalence of GDM recurrence. However, an updated systematic review is needed because new population-based studies, reporting the GDM recurrence rate, with large sample sizes, have been published since then. Although these reviews reported that the GDM recurrence rate vary from 30% to 84%, the prevalence of overall (pooled) GDM recurrence is unknown. Past reviews pointed out that the GDM recurrence rate may vary by non-Hispanic whites (NHW) vs minority ethnicities, but the role of ethnicity as a potential cause for the GDM recurrence rate variability remains unknown.


Materials and methods


Objectives


In this systematic review and metaanalysis, we aimed to explore studies on GDM recurrence and to quantify the variability of GDM recurrence rates. We intended to obtain pooled estimates overall and by subgroups. Additionally, we aimed to explore the possible causes of the variability in the prevalence of GDM recurrence using meta-regression analysis.


Methods for review


Sources


We searched Medline (PubMed and Ovid) and Google Scholar for studies published from 1973 to September 2014 using the following key words: gestational diabetes and recurrence or gestational diabetes and previous and subsequent pregnancy. The search was restricted to English-language journals. All reference lists from the main reports and relevant reviews were hand searched for additional eligible studies.


Study selection


Studies were included if they met the following criteria: they reported a specified GDM criteria and GDM recurrence rate. For the purpose of estimating the pooled GDM recurrence rates, we included only population-based studies. The study population consisted of women with GDM who had a consecutive birth afterward. The GDM recurrence rate was the percentage of women who had a recurrence of GDM in their subsequent pregnancy.


The credentials of the investigators are indicated in the author list. Two independent reviewers (N.S. and Z.N.) checked each full-text report for eligibility and extracted and tabulated all relevant data. Disagreements were settled by consensus between the reviewers. All procedures conformed to the guidelines for systematic review and metaanalysis of observational studies in epidemiology: the Meta-analysis Of Observational Studies in Epidemiology checklist. Methodological quality of studies was assessed by the 22-item Strengthening the Reporting of Observational Studies in Epidemiology score. The possible score ranged between 0 and 22 points (partial points were given for partial reporting).


Statistical analysis


The statistical analysis and graphical presentation were performed using Stata software, version 12.1 (StataCorp, College Station, TX). Heterogeneity of the studies was tested using Cochrane’s Q test of heterogeneity ( P < .05 was considered statistically significant) and measured by the I 2 statistic. Based on the Cochrane’s Q test results, we chose the random-effects model (DerSimonian and Laird method). The pooled GDM recurrence rate was estimated and a separate estimation was also made for subsamples of studies.


We evaluated the role of several potential sources of heterogeneity by fitting metaregression models to the individual study GDM recurrence prevalence rates. Evaluated variables included maternal age, study length (years), ethnicity (NHW vs other), GDM criteria (national diabetes data group 1979 vs other criteria), obstetric history (primiparous cohort vs multiparous or a mix of primiparous and multiparous), publication period (1970–1999 vs 2000–2013), and the quality score. Funnel plot was presented to examine publication bias and the Egger test was used to test for asymmetry.




Results


The study selection process is presented in Figure 1 . One hundred forty-two studies of 163 abstracts (87%) were excluded because of irrelevance. After a full review, 18 studies with 19,053 women were deemed eligible and were included in the metaanalysis.




Figure 1


Inclusion and exclusion studies for review

GDM , gestational diabetes mellitus.

Schwartz. Prevalence of gestational diabetes recurrence. Am J Obstet Gynecol 2015 .


The GDM diagnosis criteria varied across studies, in which 10 studies used the National Diabetes Data Group 1979 (NDDG) criteria (United States, Canada, and Korea), 3 used the Australasian Diabetes in Pregnancy Society (ADIPS) criteria, 2 used the Carpenter and Coustan (C&C) criteria (United States), 1 used the Japan Diabetes Society (JDS) criteria, and 2 others used a combination of specified criteria (The Netherlands and Australia). Eleven studies had time periods of more than 8 years (range, 9–22 years) and 7 studies included more than 80% NHW women and 3 studies included greater than 80% Hispanic/Latino women. For additional information regarding the studies’ characteristics, see Table 1 .



Table 1

Characteristics of the studies, which presented the GDM recurrence rate








































































































































































































































Number Author (year) Country Sample size Data years Race/ethnicity;∼Age, y Primiparous cohort GDM criteria Quality score (of 22 items) GDM recurrence, % 95% CI
1 Bennink (1977) The Netherlands 58 1970–1974 NHW Mean (second); 27 a No Center specific #1 9 30 18–42
2 Philipson and Super (1989) Ohio (United States) 36 1979–1987 64% NHW; 28 No 1979 NDDG 12 56 40–72
3 Gaudier et al (1992) United States 90 1983–1990 81% African American; 24 No 1979 NDDG 14 52 42–62
4 Dong et al (1993) Australia 865 1971–1992 NHW; 29 No Center specific #2 11 37 34–40
5 Moses (1996) Australia 100 1990–1995 93% NHW; 30 No ADIPS 13 35 26–44
6 Foster-Powell and Cheung (1998) Australia 117 1989–1996 80% NHW; 27 No ADIPS 12 62 53–71
7 Spong et al (1998) California (United States) 164 1988–1992 93% Latina; 28 No 1979 NDDG 7 68 61–75
8 Major et al (1998) California (United States) 78 1992–1996 85% Hispanic; 30 No 1979 NDDG 11 69 59–79
9 MacNeill et al (2001) Nova Scotia, Canada 651 1980–1996 NHW; not presented a No 1979 NDDG 13 33 29–37
10 Nohira et al (2006) Tokyo, Japan 32 1993–2003 Japanese; 27 No JDS 10 66 50–82
11 Russell et al (2008) Nova Scotia, Canada 606 1989–2002 NHW; 28 a Yes 1979 NDDG 18 32 29–36
12 Kwak et al (2008) Seoul, Korea 111 1993–2003 Korean; 29 No 1979 NDDG 13 45 36–54
13 Getahun et al (2010) California (United States) 3670 1991–2008 47.7% Hispanic, 23.5% NHW Yes 1979 NDDG 20 41 39–42
14 Holmes et al (2010) Texas (United States) 344 1991–2003 79% Hispanic, 14% African American; 24 Yes 1979 NDDG 15 40 35–45
15 Retnakaran et al (2011) Ontario, Canada 4538 2000–2007 NHW; 32 a Yes 1979 NDDG 19 42 41–43
16 Ehrlich et al (2011) California (United States) 1028 1996–2006 ∼50% NHW, ∼25% Hispanic Yes ADA–C&C 19 39 32–42
17 Khambalia et al (2013) New South Wales, Australia 5315 2001–2009 59% NHW; 75% 25-34 Yes ADIPS 21 41 40–42
18 Boghossian et al (2014) Utah (United States) 1250 2002–2010 76% NHW; 30 No ADA–C&C 17 80 77–82

GDM criteria included the following: 1979 NDDG criteria for GDM are administration of 100 g glucose and then at least 2 values equaling or exceeding the following cut points: fasting glucose, 105 mg/dL; 1 hour glucose, 190 mg/dL; 2 hour glucose, 165 mg/dL; 3 hour glucose, 145 mg/dL. ADA–C&C are administration of 100 g glucose and then at least 2 values equaling or exceeding the following cut points: fasting glucose, 95 mg/dL; 1 hour glucose, 180 mg/dL; 2 hour glucose, 155 mg/dL; 3 hour glucose, 140 mg/dL. ADIPS criteria for GDM are administration of 75 g glucose and then at least 1 value equaling or exceeding the following cut points: fasting glucose, 100 mg/dL; 2 hour glucose, 144 mg/dL. JDS criteria for GDM are administration of a 75 g glucose load and then at least 2 values equaling or exceeding the following cut points: fasting glucose, 100 mg/dL; 1 hour glucose, 180 mg/dL; and 2 hour glucose, 150 mg/dL. Center-specific information included the following: Bennink (1977): results were assessed according to 2 different sets of criteria (after 50 g glucose load): (1) a fasting glucose, 100 mg/dL; 0.5 hour glucose, 160 mg/dL; 1 hour glucose, 160 mg/dL; 2 hour glucose, 120 mg/dL; 3 hour glucose, 100 mg/dL; and (2) fasting glucose, 95 mg/dL; 1 hour glucose: 16 weeks’ gestation, 160 mg/dL, 28 weeks’ gestation, 165 mg/dL, 34 weeks’ gestation, 170 mg/dL; 2 hour glucose at 16 weeks’ gestation, 130 mg/dL, 28 weeks’ gestation, 135 mg/dL, 34 weeks’ gestation, 140 mg/dL; 3 hour glucose, 105 mg/dL; Dong (1993): capillary plasma glucose was measured in fasting and at 1, 2, and 3 hours after a 50 g oral glucose load; gestational diabetes was diagnosed by the combination of a 1 hour glucose value of 160 mg/dL or greater and a 2 hour value of 126 mg/dL or greater. ADIPS , Australasian Diabetes in Pregnancy Society; C&C , Carpenter and Coustan; CI , confidence interval; GDM , gestational diabetes mellitus; NDDG , National Diabetes Data Group; NHW , Non-Hispanic-white; JDS , Japan Diabetes Society.

Schwartz. Prevalence of gestational diabetes recurrence. Am J Obstet Gynecol 2015 .

a NHW was implied, but the breakdown of population by race/ethnicity was not specified.



Before executing the pooled analysis, heterogeneity was found (Cochran Q = 1223.4 [df = 17]; P < .0001; I 2 = 98.6%), and as a result, the random-effects model was selected. The pooled GDM recurrence rate was 48% (95% confidence interval [CI], 41–54%). The pooled GDM recurrence rate of women after pregnancy that was complicated by GDM is presented in Figure 2 . The funnel plot ( Figure 3 ) suggests a tendency toward publication bias in which more studies reported a high recurrence rate (compared with the pooled GDM recurrence rate). According to the Egger test, no asymmetry was found ( P = .64), but the statistical power is limited.




Figure 2


Forest plot for the prevalence of GDM recurrence

GDM , gestational diabetes mellitus.

Schwartz. Prevalence of gestational diabetes recurrence. Am J Obstet Gynecol 2015 .



Figure 3


Funnel plot with pseudo-95% confidence intervals for the prevalence of GDM recurrence

GDM , gestational diabetes mellitus.

Schwartz. Prevalence of gestational diabetes recurrence. Am J Obstet Gynecol 2015 .


Metaregression analysis showed no significant association between the average maternal age and the GDM recurrence rate ( P = .71). In addition, we witnessed a decline in the GDM recurrence rate as the studies length (in years) increased, but the meta-regression revealed insignificant association ( P = .08). No significant trend was found between the publication year and the prevalence of GDM recurrence ( P = .66). Quality analysis was performed by exploring the association between the quality score of the studies (range, 7–21; median, 13) and the GDM recurrence rate via metaregression. The analysis showed a decline in the GDM recurrence rate as the quality score increased, but the association was insignificant ( P = .252). These analyses are presented in Figure 4 .




Figure 4


The relationships between the prevalence of GDM recurrence and other factors

Bubble plot of the univariate relationship between the prevalence of GDM recurrence and the mean maternal age, publication year, study duration, and the quality score (the size of the bubbles is proportional to the weight of the studies in the metaregression).

GDM , gestational diabetes mellitus.

Schwartz. Prevalence of gestational diabetes recurrence. Am J Obstet Gynecol 2015 .


Subgroup analyses for GDM recurrence are presented in Table 2 . Subgroups categories also included publication year. A comparison of the latest studies (ie, published in the last 15 years) with earlier studies was performed. In addition, we compared the 5 studies with the highest quality score (highest quarter, ie, 75th percentile) with the rest of the studies.



Table 2

Metaanalysis and metaregression of subgroups









































































































































Variable References Number of GDM recurrence/n I 2 ; Egger a GDM recurrence, % [95% CI] P value b
Ethnicity c,d .023
NHW 2760/6935 91.6%; 0.5481 38% [33–44%]
Other e 421/819 91.1%; 0.2734 56% [44–68%]
Multiparity f < .0001
Primiparous 6322/15,501 80.6%; 0.1278 40% [38–42%]
Multiparous 90/128 77.0%; 0.4078 73% [57–89%]
Obstetric history .071
Primiparous 6322/15,501 80.6%; 0.1278 40% [38–42%]
Primiparous and multiparous 1959/3552 98.6%; 0.4078 53% [39–67%]
GDM diagnosis criteria .367
1979 NDDG 4239/10,288 93.4%; 0.3081 46% [41–51%]
Other 4042/8765 99.3%; 0.8846 49% [34–63%]
Publication year .448
1970–1999 677/1508 94.0%; 0.1917 51% [39–63%]
2000–2014 7604/17,545 99.2%; 0.8939 45% [37–54%]
Quality score g .111
<75th percentile 2097/3896 98.5%; 0.3578 52% [39–65%]
≥75th percentile (high) 6185/15,157 84.4%; 0.0498 40% [37–42%]

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May 6, 2017 | Posted by in GYNECOLOGY | Comments Off on The prevalence of gestational diabetes mellitus recurrence—effect of ethnicity and parity: a metaanalysis

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