Abstract
Introduction:
Gestational diabetes mellitus (GDM) is state of carbohydrate intolerance detected first time during pregnancy. GDM represents a significant risk factor for the development of CVD in women. The degree to which women with histories of gestational diabetes are at risk for cardiovascular disease, beyond their predisposition to future diabetes, is still unclear. The aim of our study was to assess the presence of surrogate markers of subclinical atherosclerosis which can be present in them even without developing type 2 diabetes.
Subjects and Methods:
In this descriptive cross-sectional hospital based study, 50 patients 20-45 yrs of age, premenopausal, at least 1 yr past her most recent pregnancy, and not more than 5 yr past her index pregnancy with GDM. These patients and controls who did not have GDM were assessed for carotid intima media thickness,endothelial dysfunction, epicardial fat thickness and other cardiovascular risk factors.
Results:
Women with pGDM were found to have unfavourable cardiovascular risk parameters. They also demonstrated more frequent occurrence of metabolic syndrome(64% vs 10%) than control subjects. Individual components of MS increased with increasing BMI in both the groups. As far as markers of subclinical atherosclerosis were concerned women with pGDM had significantly higher CIMT, FMD and epicardial fat thickness than control group.
Conclusion:
Women with pGDM, even before development of diabetes have significant differences in CVD risk factors when compared to those who do not have such history. Postpartum screening for glucose intolerance and efforts to minimize modifiable cardiovascular risk factors, including hypertension, viscerall adiposity, and dyslipidemia should be the most effective measures for lowering of cardiovascular risk.
Keywords: Atherosclerotic markers, cardiovascular risk, diabetes, previous gestational diabetes
INTRODUCTION
Gestational diabetes mellitus (GDM) is a state of carbohydrate intolerance detected for the first time during pregnancy. Its prevalence rate varies between 1% and 14%.[1] Besides the well-known impact of GDM on the fetus, its long-term effects on maternal health have also been acknowledged.[2] This metabolic abnormality usually resolves immediately postpartum but implies a higher risk of future type 2 diabetes mellitus. A recent meta-analysis showed a 7.5 times increase in the risk of type 2 diabetes in women with previous GDM (pGDM) and this risk was shown to increase even further when these women were examined >5 years postpartum.[3]
Type 2 diabetes is a known risk factor for cardiovascular disease (CVD), and insulin resistance has been implicated in this association.[4] Besides the increased risk of carbohydrate metabolism disturbances, this population has an increased cardiovascular risk due to clustering of other cardiovascular risk factors such as increased prevalence of metabolic syndrome (MS).[5,6] The degree to which women with histories of gestational diabetes (GD) are at risk for CVD, beyond their predisposition to future diabetes, is still unclear.
In recent times, certain surrogate markers of atherosclerosis have been devised, which can help to assess the cardiovascular risk noninvasively. Assessment of carotid intima media thickness (CIMT)[7] and endothelial dysfunction[8] are considered as a potential tool for predicting coronary atherosclerosis and future cardiovascular events.
Carotid intima-media thickness is a measurement of the combined thickness of the intimal and medial layers of the carotid artery by B-mode ultrasound. CIMT is a noninvasive technique to detect subclinical atherosclerosis and is associated with multiple cardiovascular risk factors and coronary artery diseases.[9] Flow mediated vasodilatation (FMD) is a noninvasive ultrasonographic method, which is currently recognized as a useful technique for evaluating endothelial function.[10]
Echocardiographic measurement of epicardial fat strongly reflects the intra-abdominal accumulation of visceral fat and is an independent predictor of visceral adiposity.[11] It seems to be an easy and reliable imaging indicator of visceral adipose tissue and may prove to be a good marker for coronary atherosclerosis and increased cardiovascular risk.[12]
Obesity and MS are major public health concerns not only in our country but across the globe. In parallel with type 2 diabetes pandemic, the incidence of GDM has risen rapidly. GDM has been found to occur in 12–21% of Indian women.[13,14] Since we expect to see greater metabolic dysfunction in women with histories of GD, this may represent a greater opportunity for prevention of future glucose intolerance and related cardio metabolic dysfunction in this high-risk subset of patients. The aim of our study was to assess the presence of surrogate markers of subclinical atherosclerosis in GDM even without developing type 2 diabetes.
MATERIALS AND METHODS
In this descriptive cross-sectional hospital-based study, the study participants were recruited from obstetrics and gynecology clinics, endocrine clinic and associated urban center of Era's Lucknow Medical College Hospital between January 2011 and December 2013.
A woman was eligible for enrolment if she was 20–45 years of age, premenopausal, at least 1-year past her most recent pregnancy, and ≤5 years past her index pregnancy with GDM. Only women with pregnancies resulting from spontaneous conception were enrolled. All subjects underwent a record screen. Their prenatal records were obtained to confirm their pregnancy history. All of the enrolled women had performed the glucose tolerance test during the index pregnancy, which was done as the measurement of plasma glucose after consumption of 75 g glucose or 100 glucose between the 24th and 26th weeks of gestation. The diagnosis of GDM was established by clinician according to the previous American Diabetes Association[15] or other established criteria.[16]
Exclusion criteria included diagnosis of diabetes mellitus or hypertension antedating pregnancy or after pregnancy, use of medications (including oral contraceptive pills), and tobacco use of vasodilators, antilipidemic, history of preeclampsia or eclampsia in each of their pregnancies, current pregnancy and also those who had an inflammatory rheumatoid vasculitis or chronic liver/kidney disease such as rheumatic or chronic infectious disease.
All participants signed a written consent, which was approved by the Institutional Ethics Committee. A detailed history, thorough physical examination was performed, and anthropometric measurement was recorded. Weight was measured in light clothing to the nearest 0.1 kg (using an electronic scale), and height was measured without footwear to the nearest 1 cm on a standardized, wall-mounted height board. Waist circumference (WC) was measured to the nearest 1 cm while the subjects were in the standing position at the end of gentle exploration, laterally on the midway between the lowest portion of the rib cage and iliac crest, and anteriorly midway between the xiphoid process of the sternum and the umbilicus. Body mass index (BMI) was calculated as the ratio of the weight (kg) to the square of height (m2). Systolic and diastolic blood pressures were measured 2 times by a physician with the mercury sphygmomanometer. The MS was defined according to International Diabetes Federation (IDF) criteria.[17] MS by IDF may be defined as Central obesity (defined as WC ≥94 cm [male], ≥80 cm or [female]) and any two of the following:
Triglycerides >150 mg/dl (1.7 mmol/L)
High-density lipoprotein-cholesterol <40 mg/dl (male), <50 mg/dl (female)
Blood pressure ≥130/85 mmHg
Fasting plasma glucose >100 mg/dl (5.6 mmol/L).
Insulin resistance was measured by Homeostasis model assessment method and was calculated by the formula: Fasting serum insulin (μ units/ml) × fasting serum glucose (mmole/l)/22.5.
Flow Mediated Dilatation Measurement
Endothelial function was measured noninvasively by ultrasonographic assessment of right brachial artery dimensions. The diameter of the right brachial was measured twice, first at rest then after inducing reactive hyperemia with the help of the pneumatic cuff. It was carried out by a blinded sonologist after an overnight fast in a cool, quiet room with B mode ultrasound scanner (Siemens, Germany) using 10 MHz linear transducer. The diameter of right brachial artery was measured 2–8 cm above the antecubital space in the end diastolic phase from one media-adventitia interface to the other at the clearest part 3 times and the average was taken.
After the detection of the right transducer position, skin was marked, and arm kept in the same position. The blood pressure cuff was tied on the upper arm and inflated to supra systolic levels kept inflated for 4 min. Totally, 60 s after the cuff was released, brachial artery dimensions were again measured. The maximum diameter measurement was defined as the average of three consecutive diameters measurements. FMD was calculated as the percent increase in vascular diameter from the difference between the maximum and baseline brachial artery diameter.
Carotid Intima Media Thickness
A GE Health Care Vivid 7 Dimension (Wauwatosa, WI, USA) high-resolution ultrasound scanner with a high frequency (10–12 MHZ) linear array transducer was used for CIMT measurement. The common carotid arteries were scanned at the level of bifurcation on either side, and the mean value was used for analysis. The intima media thickness was measured in the far wall of the arteries at sites identified as diffuse and continuous projections with the greatest distance between the luminal intimal interface and media adventitial interface but without atherosclerotic plaques. Localized lesions >2 mm thickness were considered to be atherosclerotic plaques. CIMT was assessed by single observer who was blinded for the diagnosis.
Epicardial Fat Thickness
Each subject underwent transthoracic two-dimensional guided M-mode echocardiography. Standard parasternal and apical views were obtained in the left lateral decubitus position. Epicardial fat was identified as echocardiographic free space between the outer wall of the myocardium and the visceral layer of the pericardium. Epicardial fat thickness (EFT) was measured perpendicularly on the free wall of the right ventricle at the end of diastole in three cardiac cycles. The average value of three cardiac cycles from each echocardiographic view was considered.
RESULTS
The study included 50 women with the previous history of GD and 50 years age, and BMI matched controls. The baseline characteristics of the women with pGDM and control subjects have been presented in Table 1. The mean age of participants was 34.6 ± 5.6 and 34.0 ± 6.4 years in the two groups. The control subjects and women with pGDM were not significantly different in BMI, gravid status and number of years postpartum. However, family history of type 2 diabetes was significantly higher (50% vs. 14%, P = 0.02) in women with pGDM than the control subjects.
Table 1.
In general, women with pGDM were found to have unfavorable cardiovascular risk parameters [Table 2]. Prevalence of impaired glucose tolerance was higher in women with pGDM. Women with pGDM had higher fasting insulin levels, diastolic blood pressures, uric acid levels and worse lipid profile than control subjects. They also demonstrated more frequent occurrence of MS (64% vs. 10%) as well than control subjects. Individual components of MS increased with increasing BMI in both the groups. As far as markers of subclinical atherosclerosis were concerned [Table 3], women with pGDM had significantly higher CIMT, FMD and EFT than the control group.
Table 2.
Table 3.
Women with pGDM had significantly higher mean CIMT levels 0.84 ± 0.12 mm in women with pGDM versus 0.62 ± 0.08, P = 0.02 mm in women without histories of pGDM (P = 0.02). CIMT was significantly correlated with age, hypertension, hypertriglyceridemia and insulin resistance and presence of MS [Table 4].
Table 4.
Baseline brachial artery diameter was 3.56 ± 0.62 in women with pGDM and 3.6 ± 0.5 in controls (P = 0.18). FMD was lower in women with pGDM than in controls (6% vs. 15%, P = 0.03). FMD had a significant correlation with insulin resistance, hypertriglyceridemia hypertension and presence of MS.
Epicardial fat thickness was 6.0 ± 1.5 mm in women with pGDM and 3.42 ± 1.0 mm, in control group. P = 0.001), which was significantly higher in women with pGDM and was significantly correlated with WC, insulin resistance and presence of MS.
In multivariate regression analysis, only presence of MS and previous history of GD were independent predictors of CIMT, FMD and EFT.
DISCUSSION
Women with histories of GD are at increased risk of developing type 2 diabetes, MS, and CVD.[2,3,4,5] In a cross-sectional analysis of GENNID, Carr et al. found that women with histories of GD were more likely to have MS and to experience cardiovascular events than women without histories of GD, and moreover that these cardiovascular events occurred at a younger age.[6] It has also been suggested that despite normal glucose levels, women with histories of GD have less favorable cardiovascular risk profile compared to unaffected women.
We intended to assess certain surrogate noninvasive markers of atherosclerosis in young premenopausal women as there is a paucity of this data in our population that is ethnically at high risk for GD. Our study has tried to address this issue whether these noninvasive markers of subclinical atherosclerosis are present in this high-risk group of our population before developing type 2 diabetes. We measured CIMT, FMD and EFT in women with pGDM within 5 years of index pregnancy with GD.
In our study, women with pGDM were more common to have family history of type 2 diabetes and had a higher prevalence of MS as a whole along with its individual components.
The severity of endothelial dysfunction has been associated with the risk for an initial or recurrent cardiovascular event. We observed that normoglycemic women with pGDM have increased insulin resistance and decreased endothelium-dependent vasodilatation when compared with women without pGDM.
Similar to our study, other studies have also observed impaired FMD and vascular dysfunction among women during pregnancy with glucose intolerance or women with pGDM.[18,19,20,21,22] Anastasiou et al. demonstrated significantly decreased nitrate-induced dilation in the obese post-GDM women, compared with that in women after normal pregnancies studied 3–6 months after delivery.[23]
Carotid intima media thickness a marker of subclinical atherosclerosis and is commonly used as a surrogate of vascular disease morbidity and mortality was observed to be significantly higher in women with pGDM in our study in concordance with the Freire et al.[24] who also concluded that previous GD was independently associated with increased CIMT, similarly to MS. Tarim et al.[25] studied 30 women with GDM and 40 normoglycemic women of similar age and BMI in the second trimester of pregnancy. They observed that CIMT was significantly greater among the women with GDM compared with that among the non-GDM independent of fasting glucose, high-density lipoprotein and total cholesterol. Volpe et al.[26] studied 28 women with GDM and 24 women without a history of GDM 2 years after delivery and reported that these women had higher mean common CIMT, and that levels of oxidized low-density lipoprotein were independently associated with CIMT, thus suggesting an inflammatory component associated with the altered CIMT. Similarly, Bo et al.[27] reported that CIMT is significantly associated with pGDM and coupled to a higher prevalence of inflammatory markers.
In a recent meta-analysis, Li et al. observed that GDM was related to larger CIMT and the relation was stronger in obese GDM patients, and the association already existed at the time of pregnancy and remained significant years after pregnancy.[28]
For the assessment of atherosclerosis, EFT is recently being used as a surrogate marker. Caliskan et al. in their study found that CIMT and EFT were significantly higher in previous history of GDM group than controls.[29]
We did not include any inflammatory markers in our study and used only imaging strategies to find the presence of silent atherosclerosis. We found that women with pGDM had increased WC, hypertension, adverse lipid profile and higher prevalence of MS. Presence of MS and history of pGDM were independent predictors of all markers of atherosclerosis.
The limitations of our study are its cross-sectional design so cause-effect relationship could not be proved and small sample size. We could not perform any subgroup analysis of the effect of duration after index pregnancy on different risk markers. Longer-term studies with larger sample size are necessary to verify whether history of GDM would represent a marker of future increased cardiovascular morbidity and define the role of lifestyle and pharmacological interventions in these subjects.
CONCLUSION
Gestational diabetes mellitus represents a significant risk factor for the development of CVD in women. Women with pGDM, even before the development of diabetes have significant differences in CVD risk factors when compared to those who do not have such history. These women are the candidates who should be given counseling and appropriate advice on lifestyle, in order to decrease their risk for CVD and type 2 diabetes. Postpartum screening for glucose intolerance and efforts to minimize modifiable CVD risk factors, including blood pressure, abdominal adiposity, and dyslipidemia should be strengthened.
Footnotes
Source of Support: Nil
Conflict of Interest: None declared.
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