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Metabolic syndrome in pregnancy and postpartum: prevalence and associated factors

SUMMARY

OBJECTIVE

Evaluate the prevalence of metabolic syndrome (MS) and the main associated maternal factors in women without pre-gestational conditions, in early pregnancy and in the immediate postpartum.

METHODS

Two hundred pregnant women were evaluated at the 16th week of pregnancy, and 187 were reassessed postpartum. MS was diagnosed according to the criteria by the National Cholesterol Education Program Adult Treatment Panel III. In addition to the diagnostic criteria, anthropometric measures, blood pressure, metabolic profile, and visceral and subcutaneous fat thickness (by ultrasonography) were collected from the pregnant woman. The student’s t-test was used to compare the prevalence of MS and its components in the 16th week and in the postpartum. Multiple logistic regression was performed to identify the principal factors associated with the syndrome.

RESULTS

The prevalence of the MS was 3.0% in early pregnancy and 9.7% postpartum (p=0.01). Following multiple logistic regression, the prepregnancy body mass index (BMI) (p=0.04) and high-density lipoprotein cholesterol (HDL-c) (p=0.02) remained associated with MS at 16 weeks, and triglyceride levels evaluated in postpartum (p<0.001) with MS in postpartum.

CONCLUSION

The frequency of the MS was high in the immediate postpartum. The factors associated were prepregnancy BMI and HDL-c at the 16th week, as well as triglyceride levels postpartum.

Metabolic syndrome; Pregnancy; Postpartum period; Risk factors

RESUMO

OBJETIVO

Avaliar a prevalência da SM e os principais fatores maternos associados em mulheres sem doenças pré-gestacionais, no início da gravidez e no pós-parto imediato.

MÉTODOS

Foram avaliadas 200 mulheres na 16a semana de gravidez, sendo 187 reavaliadas no pós-parto. A SM foi diagnosticada de acordo com os critérios do National Cholesterol Education Program Adult Treatment Panel III. Além dos critérios diagnósticos da síndrome, foram coletadas medidas antropométricas, pressão arterial, perfil metabólico e espessura de gordura visceral e subcutânea (através de ultrassonografia) da gestante. O teste t de Student foi usado para comparar a prevalência de SM e dos seus componentes nos dois momentos. Os modelos de regressão logística múltipla, para investigar os principais fatores associados à síndrome na 16a semana de gestação e no pós-parto.

RESULTADOS

A prevalência da SM foi de 3,0% no início da gravidez e 9,7% no pós-parto (p=0,01). O índice de massa corporal (IMC) pré-gravídico (p=0,04) e o colesterol lipoproteínas de alta densidade (HDL-c) (p=0,02) permaneceram associados à SM na 16a semana. Após o parto, os níveis de triglicerídeos permaneceram associados à SM no pós-parto (p<0,001).

CONCLUSÃO

A prevalência da SM foi alta no pós-parto imediato e os fatores associados à síndrome foram IMC pré-gravídico e HDL-c na 16a semana, e níveis triglicerídeos no pós-parto.

Síndrome metabólica; Gravidez; Período pós-parto; Fatores de risco

INTRODUCTION

Metabolic syndrome (MS) is defined by the National Cholesterol Education Program Adult Treatment Panel III (NCEP-ATP III) as the presence of at least three of the following characteristics: abdominal obesity (abdominal circumference ≥88 cm), triglycerides ≥150 mg/dL, cholesterol, high-density lipoprotein cholesterol (HDL-c) <50 mg/dL, blood pressure (BP) ≥130/85 mmHg, and fasting glycemia ≥100 mg/dL11. Carson MP. Society for maternal and fetal medicine workshop on pregnancy as a window to future health: clinical utility of classifying women with metabolic syndrome. Semin Perinatol. 2015;39(4):284-9.. Different criteria, however, are being used to classify the syndrome during pregnancy and in the postpartum period, when the abdominal circumference is significantly changed.22. Hakkarainen H, Huopio H, Cederberg H, Voutilainen R, Heinonen S. Future risk of metabolic syndrome in women with a previous LGA delivery stratified by gestational glucose tolerance: a prospective cohort study. BMC Pregnancy Childbirth. 2018;18(1):326.

3. Varner MW, Rice MM, Landon MB, Casey BM, Reddy UM, Wapner RJ, et al; Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD) Maternal-Fetal Medicine Units (MFMU) Network. Pregnancies after the diagnosis of mild gestational diabetes mellitus and risk of cardiometabolic disorders. Obstet Gynecol. 2017;129(2):273-80.
-44. Cho NH, Ahn CH, Lua JH, Kwak SH, Choi SH, Lim S, et al. Metabolic syndrome independently predicts future diabetes in women with a history of gestational diabetes mellitus. Medicine (Baltimore). 2016;95(35):e4582.

Despite the contradictions regarding classification in these periods, studies showed a prevalence of MS of 12.4% in pregnant women and 29% in puerperal women.55. Grieger JA, Grzeskowiak LE, Smithers LG, Bianco-Miotto T, Leemaqz SY, Andraweera P, et al.. Metabolic syndrome and time to pregnancy: a retrospective study of nulliparous women. BJOG. 2019;126(7):852-62. The factors often associated with the syndrome were age, parity, dyslipidemia, gestational diabetes mellitus (GDM), hypertension, and obesity.55. Grieger JA, Grzeskowiak LE, Smithers LG, Bianco-Miotto T, Leemaqz SY, Andraweera P, et al.. Metabolic syndrome and time to pregnancy: a retrospective study of nulliparous women. BJOG. 2019;126(7):852-62.,66. Rice MM, Landon MB, Varner MW, Casey BM, Reddy UM, Wapner RJ, et al; Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD) Maternal-Fetal Medicine Units Network (MFMU). Pregnancy-associated hypertension in glucose-intolerant pregnancy and subsequent metabolic syndrome. Obstet Gynecol. 2016;127(4):771-9.

7. Lee Y, Lee HN, KIM SJ, Koo J, Lee KE, Shin JE. Higher parity and risk of metabolic syndrome in Korean postmenopausal women: Korea National Health and Nutrition Survey 2010-2012. J Obstet Gynecol Res. 2018;44(11):2045-52.

8. Szostak-Węgierek D, Waśkiewicz A, Piotrowski W, Stepaniak U, Pająk A, Kwaśniewska M, et al. Metabolic syndrome and its components in Polish women of childbearing age: a nationwide study. BMC Public Health. 2017;18(1):15.
-99. Puhkala J, Raitanen J, Kolu P, Tuominen P, Husu P, Luoto R. Metabolic syndrome in Finnish women 7 years after a gestational diabetes prevention trial. BMJ Open. 2017;7(3):e014565.

The high prevalence found by the studies, the metabolic risks from the physiological changes of pregnancy and the postpartum period, the lack of established parameters to classify the syndrome, and the inconsistencies regarding its prevalence and associated factors in women with no previous diseases suggest the need for research on the topic. Thus, the objective of this study was to evaluate the prevalence of MS and the main maternal factors associated with it in women without pre-gestational diseases, at the beginning of pregnancy and in the immediate postpartum period.

METHODS

Study design

This is a cohort study with 200 pregnant women treated in basic health units of the city of Campina Grande, Paraíba, Brasil. The women were evaluated in the 16th week of gestation (n=200) and re-evaluated during the immediate postpartum period (n=187) in the Instituto Paraibano de Pesquisa Professor Joaquim Amorim Neto (IPESQ), between September 2014 and December 2015. The research was approved by the Research Ethics Committee of the Federal University of Paraíba (CAAE: 03649512.9.0000.5182), and all participants signed an informed consent form (ICF).

Sample Size

The sample size was calculated by the OpenEpi, version 2.3 (Atlanta, GA, USA), assuming a rate of waist circumference increase of 22.8% in the immediate postpartum.66. Rice MM, Landon MB, Varner MW, Casey BM, Reddy UM, Wapner RJ, et al; Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD) Maternal-Fetal Medicine Units Network (MFMU). Pregnancy-associated hypertension in glucose-intolerant pregnancy and subsequent metabolic syndrome. Obstet Gynecol. 2016;127(4):771-9.For a 85% power and a 95% confidence level, 148 pregnant women would have to be included. This number was increased by 30% to compensate for possible losses during follow-up.

Eligibility criteria

We included pregnant women, confirmed by ultrasound, with gestational age less than or equal to 16 weeks. We excluded women with pre-gestational diabetes mellitus (DM), suffering from psychiatric disorders, chronic maternal diseases (hypertension, heart disease, kidney disease, epilepsy, kidney failure), congenital malformations, and multiple pregnancies.

Data collection and procedures performed

In the 16th week of gestation (± 1 week), after signing the ICF, the women underwent an ultrasound to confirm their pregnancy and answered a questionnaire with information about biological, sociodemographic, and obstetric characteristics. Next, we evaluated the diagnostic criteria for MS, its prevalence, and the possibly related maternal risk factors.

MS was diagnosed according to the classification by the NCEP/ATP III11. Carson MP. Society for maternal and fetal medicine workshop on pregnancy as a window to future health: clinical utility of classifying women with metabolic syndrome. Semin Perinatol. 2015;39(4):284-9.,and the maternal factors investigated were the thicknesses of visceral and subcutaneous fat, anthropometric measurements, blood pressure (BP), and metabolic profile. After these assessments, the pregnant women were scheduled to return at the 28th week and the immediate postpartum period (≤10 days after delivery). In the 28th week, we carried out only the oral glucose tolerance test (OGTT) and, in the postpartum period, were repeated all previous assessments.

The ultrasound was carried out by the same professional, a specialist in fetal medicine, who also measured the thickness of visceral and subcutaneous fat, according to the technique described by Armellini et al.1010. Armellini F, Zamboni M, Robbi R, Todesco T, Rigo L, Bergamo-Andreis IA, et al. Total and intra-abdominal fat measurements by ultrasound and computerized tomography. Int J Obes Relat Metab Disord. 1993;17(4):209-14.. The maternal BP was measured by the recommended palpation and auscultation methods.1111. American College of Obstetricians and Gynecologists. Hypertension in pregnancy: executive summary. Obstet Gynecol. 2013;122(5):1122-31.

The anthropometric assessment included weight, height, body mass index (BMI), weight gain, circumferences of the waist, arm, and thigh, and the triceps and suprailiac skinfolds. Based on their BMI, the women were classified as underweight, average weight, overweight, or obese.1212. Atalah E, Castillo C, Castro R, Aldea A. Proposal of a new standard for the nutritional assessment of pregnant women. Rev Med Chil. 1997;125(12):1429-36. The weight gain was obtained from the difference between the women’s weight in each of these moments and their pre-gestational weight self-reported during the filling out of the questionnaire. The circumferences of the waist, arm, and thigh, and the skinfolds were evaluated according to Jackson and Pollock.1313. Jackson AS, Pollock ML. Generalized equations for predicting body density of men. 1978. Br J Nutr. 2004;91(1):161-8.

The biochemical measurements included total cholesterol, HDL-c, low-density lipoprotein cholesterol (LDL-c), triglycerides, insulin, homeostasis model assessment (HOMA-IR), and levels of fasting glucose. Insulin resistance was determined according to the HOMA-IR [fasting insulin (mUI/ml) x fasting glucose (mmol/l)/22.5].1414. Standards of Medical Care in Diabetes-2017: summary of revisions. Diabetes Care. 2017;40(Suppl 1):S4-S5.

At the 28th week of gestation, the women returned to the PESQ to undergo the OGTT, as previously scheduled. The diagnosis of gestational diabetes mellitus (GDM) was based on the confirmed fasting glycemia ≥92 mg/dl at the 16th week of gestation, in addition to an OGTT with any of the following abnormal values: fasting glycemia ≥92 mg/dl; one-hour levels ≥180 mg/dl, and two-hour levels ≥153 mg/dl.1414. Standards of Medical Care in Diabetes-2017: summary of revisions. Diabetes Care. 2017;40(Suppl 1):S4-S5.

Data Analysis

Medcalc, version 15.6.1. (Medical Software bvba, Ostend, Belgium), and Epi Info, version 7.1.5 (Atlanta, GA, USA) were used for the statistical analysis. The Student t-test was used to compare the prevalence of metabolic syndrome and its components in these periods. A bivariate analysis was then performed to test the association between the variables studied and MS (ANOVA and Kruskal-Wallis Test). Stepwise logistic regression was performed to identify the main maternal factors associated with the syndrome, including the variables that remained associated with a significance level of 20% in the bivariate analysis. The final model included only the variables that remained associated with the outcomes at a significance level of 5%.

RESULTS

The prevalence of MS at the 16th week was 3.0% (n=6) in comparison to 9.7% (n=18) during the immediate postpartum period (p=0.01). Regarding the criteria for MS classification at the 16th week, the frequency of abdominal obesity (abdominal circumference≥88 cm), HDL-c <50mg, triglycerides ≥150mg/L, fasting glycemia ≥100mg/dL, and BP ≥130/85mmHg was 100% and 34% (p<0.001), 83.3% and 40.7% (p=0.02), 83.3% and 11.8% (p<0.001), 0% and 0.5% (p=0.84), and 0% and 1% (p=0.93) in the groups with and without the syndrome, respectively (Table 1). During the immediate post-partum period, the frequencies were 77.8% and 40.8% (p<0.001); 88.9% and 39% (p<0.001); 83.3% and 11.2% (p<0.001); 0% and 1.2% (p=0.84); 16.6% and 2.9% (p=0.01), in both groups (Table 1).

TABLE 1
DIAGNOSTIC CRITERIA FOR MS, ACCORDING TO THE NCEP/ATP III CLASSIFICATION, IN WOMEN WITH AND WITHOUT THE SYNDROME. CAMPINA GRANDE, PARAÍBA, BRASIL, 2015.

The mean age in the groups with and without MS were 31.5±8.4 and 25.4±5.7 years at the 16th week of gestation (p=0.01). In the postpartum period, these averages were 27.0±7.8 and 25.6±5.6 years in both groups, respectively (p=0.38). With respect to formal education, in both periods, the averages were 6.6±3.0 and 9.7±3.8 years at the 16th week, and 8.8±3.2 and 9.8±3.9 years in the postpartum period for the groups with and without the syndrome (p=0.05; p = 0.32) (Table 2).

TABLE 2
BIOLOGICAL, ANTHROPOMETRIC, AND SOCIODEMOGRAPHIC CHARACTERISTICS, VISCERAL AND SUBCUTANEOUS FAT, AND METABOLIC PROFILE OF WOMEN WITH AND WITHOUT MS. CAMPINA GRANDE, PARAÍBA, BRASIL, 2015.

Regarding the reproductive history of the women, those with MS at the 16th week of pregnancy had an average of 3.8±2.3 pregnancies, 0.0±0.5 abortions, and 2.5±2.3 deliveries compared with 2.0±1.2 pregnancies, 0.2±0.5 abortions, and 0.8±1.1 deliveries by the women without the syndrome (p=0.01; p=0.46; p<0.001, respectively). In the postpartum period, the averages were of 2.7±1.6 pregnancies, 0.3±0.6 abortions, and 1.4±1.6 deliveries in the group with MS, while in the group without the syndrome the averages were 2.0±1.1 pregnancies, 0.2±0.5 abortions, and 0.7±0.9 deliveries (p=0.02; p=0.82; and p=0.04, respectively). The average interval between pregnancies, at the 16th week, was 4.2±2.3 and 3.5±3.3 years in both groups (p=0.64), at the same time, compared to 3.5±2.4 and 3.4±3.4 years (p=0.89) in the postpartum period (Table 2).

As to the nutritional status of the women, 13.0% (n=26) were classified with low weight at the 16th week of gestation, compared to 1.3% (n=2) in the postpartum period (p<0.001); 48.7% (n=91) and 57.3% (n=107) were classified as eutrophic in both periods (p=0.20), and the women considered overweight or obese were 38.1% (n=76) and 41.3% (n=77) (p=0.62), respectively.

The average maternal weight in the groups with and without the syndrome was 72.4±15.4 kg and 62.4±11.2 kg (p=0.03) at the 16th week of gestation, while in the postpartum period, it was 68.7 ± 15.1 kg and 65.0±10.3 kg (p<0.20) (Table 3). The mean BMI was 28.3±5.1 and 24.5±4.0 (p<0.001) at the 16th week of gestation when compared to 28.3±3.0 and 25.7±4.1 (p=0.01) in the postpartum period (Table 2). There was an association between maternal weight gain and the presence of MS (p<0.001).

TABLE 3
FINAL LOGISTIC REGRESSION MODEL FOR FACTORS ASSOCIATED WITH MS IN THE 16TH WEEK OF GESTATION AND IN THE IMMEDIATE POST-PARTUM PERIOD. CAMPINA GRANDE, PARAÍBA, BRASIL, 2015.

The average thickness of visceral fat was 5.9±1.2cm and 5.2±1,3cm (p=0.20) at the 16th week, while in the immediate post-partum period, it was 5.5 ± 1.9cm and 5.6±1.5cm (p=0.83) in the groups of women with and without MS (Table 2). No association was found between the thickness of visceral fat and the syndrome (p=0.88). The mean subcutaneous fat thickness was 2.9±0.8 and 2.3±0.8 (p= 0.07) at the 16th week when compared to 3.0±1.0 and 2.4±0.8 (p=0.01) in the postpartum period, in both groups, respectively (Table 2). An association was found between the subcutaneous fat and the presence of MS (p<0.001).

Compared to the 16th week of gestation, in the postpartum period, there was a greater proportion of women that presented increased levels of fasting glucose (0.5% and 1.3%) (p=0.32), triglycerides (16.3% and 22.6%) (p=0.60), total cholesterol (16.3% and 63.2%) (p=0.21), and LDL-c (44.4% and 84.8%) (p=0.20) in the groups with and without MS. After analyzing both periods, the proportion of women with low levels of HDL-c increased slightly in the postpartum (58.2%) when compared with the 16th week (57.0%) (p=0.03). The Frequency of GDM was 2.8% (n=5).

The mean levels of total cholesterol were 195.3±10.0 mg/dl and 168.6±30.9 mg/dl (p=0.03) in women with and without metabolic syndrome at the 16th week of gestation and 209.4±47,4mg/dl and 215.0±42.6 (p=0.62), simultaneously, in the postpartum period. The average of fasting glucose, after comparing both groups, were 67.5±4.4mg/dl and 70.2±15.5 mg/dl (p=0.66) at the 16th week, while in the post-partum period, they were 73.0±11.7mg/dl and 69.3±8.6 mg/dl (p=0.12) (Table 2).

The average levels of insulin were 9.3±5.8 mUI/ml and 5.7±4.0 mUI/ml (p=0.03) for women with and without MS at the 16th week of gestation, and 7.1±4.9mUI/ml and 5.5±3.6 mUI/ml (p=0.13), respectively, in the postpartum period. Regarding the triglyceride levels in both groups, the averages were 218.1±51,7mg/dl and 108.5±53.1 (p<0.001) at the 16th week, and 245.0±92,3mg/dl and 111.5±22.3 (p<0.001) post-partum (Table 2). As for resistance to insulin, the mean HOMA-IR was 24.2±19.8 and 14.3±14.4 (p=0.08) at the 16th week of gestation, while during the post-partum period it was 24.2±22.1 and 17.4±12.0 (p=0.05) in the groups with and without MS. (Table 2).

After logistic regression analysis, the pre-gestational BMI (p=0.04) and HDL-c (p=0.02) remained significantly associated with MS in the 16th week of gestation. In the postpartum period, only the levels of triglycerides, analyzed in this period, remained significantly associated with the syndrome (p<0.001) (Table 3).

DISCUSSION

The prevalence of MS in the immediate postpartum was high when compared to that found at the beginning of pregnancy, and the only factors that remained associated with the syndrome were pre-gestational BMI, HDL-c at the 16th week, and triglycerides in the postpartum period.

A similar frequency of the syndrome in early pregnancy was reported in a study involving women at 12 weeks of gestation.1515. Horvath B, Bodecs T, Boncz I, Bodis J. Metabolic syndrome in normal and complicated pregnancies. Metab Syndr Relat Disord. 2013;11(3):185-8. However, a retrospective research with women at 14 to 16 weeks of gestation reported a much higher prevalence (12.3%).55. Grieger JA, Grzeskowiak LE, Smithers LG, Bianco-Miotto T, Leemaqz SY, Andraweera P, et al.. Metabolic syndrome and time to pregnancy: a retrospective study of nulliparous women. BJOG. 2019;126(7):852-62. This difference, however, may have resulted from the application of different criteria for the classification of MS. In fact, the researchers in that multicenter study used the parameters by the International Diabetes Federation (FID), which establish a cutoff point for waist circumference (80 cm) lower than that applied in this study55. Grieger JA, Grzeskowiak LE, Smithers LG, Bianco-Miotto T, Leemaqz SY, Andraweera P, et al.. Metabolic syndrome and time to pregnancy: a retrospective study of nulliparous women. BJOG. 2019;126(7):852-62.. Since there is a physiological change to that measurement during pregnancy, an even lower cut-off point could predispose more easily a high rate of MS diagnoses.

Postpartum studies also showed higher prevalence rates of MS in comparison to our results, reaching 39%44. Cho NH, Ahn CH, Lua JH, Kwak SH, Choi SH, Lim S, et al. Metabolic syndrome independently predicts future diabetes in women with a history of gestational diabetes mellitus. Medicine (Baltimore). 2016;95(35):e4582.,66. Rice MM, Landon MB, Varner MW, Casey BM, Reddy UM, Wapner RJ, et al; Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD) Maternal-Fetal Medicine Units Network (MFMU). Pregnancy-associated hypertension in glucose-intolerant pregnancy and subsequent metabolic syndrome. Obstet Gynecol. 2016;127(4):771-9.,99. Puhkala J, Raitanen J, Kolu P, Tuominen P, Husu P, Luoto R. Metabolic syndrome in Finnish women 7 years after a gestational diabetes prevention trial. BMJ Open. 2017;7(3):e014565.,1515. Horvath B, Bodecs T, Boncz I, Bodis J. Metabolic syndrome in normal and complicated pregnancies. Metab Syndr Relat Disord. 2013;11(3):185-8.

16. Nouhjah S, Shahbazian H, Shahbazian N, Jahanfar S, Jahanshahi A, Cheraghian B, et al. Early postpartum metabolic syndrome in women with or without gestational diabetes: results from Life after Gestational Diabetes Ahvaz cohort study. Diabetes Metab Syndr. 2018;12(3):317-23.
-1717. Huvinen E, Eriksson JG, Koivusalo SB, Grotenfelt N, Tiitinen A, Stach-Lempinen B, et al. Heterogeneity of gestational diabetes (GDM) and long-term risk of diabetes and metabolic syndrome: findings from the RADIEL study follow-up. Acta Diabetol. 2018;55(5):493-501.. However, this difference may be explained by the selection of the sample, since our study excluded pregnant women with associated morbidities because the objective was to understand the magnitude of the disease in pregnant women without pre-gestational diseases.

With respect to the weight and nutritional status of the pregnant women, those with MS presented excess weight, and the pre-gestational BMI remained significantly associated with MS in the 16th week. Unlike our results, other studies showed an association between pre-gestational BMI indicative of overweight and obesity and the presence of MS in the postpartum period.99. Puhkala J, Raitanen J, Kolu P, Tuominen P, Husu P, Luoto R. Metabolic syndrome in Finnish women 7 years after a gestational diabetes prevention trial. BMJ Open. 2017;7(3):e014565.,1616. Nouhjah S, Shahbazian H, Shahbazian N, Jahanfar S, Jahanshahi A, Cheraghian B, et al. Early postpartum metabolic syndrome in women with or without gestational diabetes: results from Life after Gestational Diabetes Ahvaz cohort study. Diabetes Metab Syndr. 2018;12(3):317-23.,1818. Barquiel B, Herranz L, Hillman N, Burgos MÁ, Pallardo LF. Prepregnancy body mass index and prenatal fasting glucose are effective predictors of early postpartum metabolic syndrome in Spanish mothers with gestational diabetes. Metab Syndr Relat Disord. 2014;12(9):457-63.In these studies, however, MS was diagnosed in the postpartum period in women with a diagnosis of GDM who, according to the pre-gestational BMI, were overweight/obese and whose levels of fasting glucose were high.99. Puhkala J, Raitanen J, Kolu P, Tuominen P, Husu P, Luoto R. Metabolic syndrome in Finnish women 7 years after a gestational diabetes prevention trial. BMJ Open. 2017;7(3):e014565.,1616. Nouhjah S, Shahbazian H, Shahbazian N, Jahanfar S, Jahanshahi A, Cheraghian B, et al. Early postpartum metabolic syndrome in women with or without gestational diabetes: results from Life after Gestational Diabetes Ahvaz cohort study. Diabetes Metab Syndr. 2018;12(3):317-23.,1818. Barquiel B, Herranz L, Hillman N, Burgos MÁ, Pallardo LF. Prepregnancy body mass index and prenatal fasting glucose are effective predictors of early postpartum metabolic syndrome in Spanish mothers with gestational diabetes. Metab Syndr Relat Disord. 2014;12(9):457-63.

In relation to the biochemical analysis, only the levels of HDL-c in the 16th week and the triglyceride levels in the postpartum period remained significantly associated with MS in this study. Corroborating these findings, a study carried out at the beginning of the gestation showed higher average levels of triglycerides (192.5±87.5 mg/dl and 105±61.2 mg/dl) and lower HDL-c (456.79±114.2 mg/dl and 532.92±152.26 mg/dl) in women with MS in comparison to those without it.44. Cho NH, Ahn CH, Lua JH, Kwak SH, Choi SH, Lim S, et al. Metabolic syndrome independently predicts future diabetes in women with a history of gestational diabetes mellitus. Medicine (Baltimore). 2016;95(35):e4582.

Other studies have reported conflicting results, with findings of a correlation between MS and insulin resistance1515. Horvath B, Bodecs T, Boncz I, Bodis J. Metabolic syndrome in normal and complicated pregnancies. Metab Syndr Relat Disord. 2013;11(3):185-8. and between MS and hypertension;66. Rice MM, Landon MB, Varner MW, Casey BM, Reddy UM, Wapner RJ, et al; Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD) Maternal-Fetal Medicine Units Network (MFMU). Pregnancy-associated hypertension in glucose-intolerant pregnancy and subsequent metabolic syndrome. Obstet Gynecol. 2016;127(4):771-9.,1616. Nouhjah S, Shahbazian H, Shahbazian N, Jahanfar S, Jahanshahi A, Cheraghian B, et al. Early postpartum metabolic syndrome in women with or without gestational diabetes: results from Life after Gestational Diabetes Ahvaz cohort study. Diabetes Metab Syndr. 2018;12(3):317-23.,1919. Yang JJ, Lee SA, Choi JY, Song M, Han S, Yoon HS, et al. Subsequent risk of metabolic syndrome in women with a history of preeclampsia: data from the Health Examinees Study. J Epidemiol. 2015;25(4):281-8 however, unlike in the present study, pregnant women with GDM and women with various degrees of glucose intolerance were included in these samples.

A limitation of this study is the risk of an overestimated prevalence of MS due to the difficulty in classifying it in both periods through the pre-established criteria. The strengths of this study are the homogeneity of the sample, the small number of losses, and the inclusion of healthy women.

Studies on metabolic syndrome and its associated risk factors in pregnant women can assist in predicting the disease during pregnancy and in the postpartum period, allowing the use of preventive strategies to reduce maternal and child damage in the short and long term.

CONCLUSION

The frequency of metabolic syndrome was higher during the immediate postpartum period, and a pre-gestational BMI indicative of overweight/obesity and abnormal levels of HDL-c at the 16th week of pregnancy, in addition to abnormal levels of triglycerides in the immediate post-partum period, seem to represent important risk factors for the development of metabolic syndrome in these periods.

REFERENCES

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    Hakkarainen H, Huopio H, Cederberg H, Voutilainen R, Heinonen S. Future risk of metabolic syndrome in women with a previous LGA delivery stratified by gestational glucose tolerance: a prospective cohort study. BMC Pregnancy Childbirth. 2018;18(1):326.
  • 3
    Varner MW, Rice MM, Landon MB, Casey BM, Reddy UM, Wapner RJ, et al; Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD) Maternal-Fetal Medicine Units (MFMU) Network. Pregnancies after the diagnosis of mild gestational diabetes mellitus and risk of cardiometabolic disorders. Obstet Gynecol. 2017;129(2):273-80.
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    Cho NH, Ahn CH, Lua JH, Kwak SH, Choi SH, Lim S, et al. Metabolic syndrome independently predicts future diabetes in women with a history of gestational diabetes mellitus. Medicine (Baltimore). 2016;95(35):e4582.
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    Grieger JA, Grzeskowiak LE, Smithers LG, Bianco-Miotto T, Leemaqz SY, Andraweera P, et al.. Metabolic syndrome and time to pregnancy: a retrospective study of nulliparous women. BJOG. 2019;126(7):852-62.
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    Rice MM, Landon MB, Varner MW, Casey BM, Reddy UM, Wapner RJ, et al; Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD) Maternal-Fetal Medicine Units Network (MFMU). Pregnancy-associated hypertension in glucose-intolerant pregnancy and subsequent metabolic syndrome. Obstet Gynecol. 2016;127(4):771-9.
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    Lee Y, Lee HN, KIM SJ, Koo J, Lee KE, Shin JE. Higher parity and risk of metabolic syndrome in Korean postmenopausal women: Korea National Health and Nutrition Survey 2010-2012. J Obstet Gynecol Res. 2018;44(11):2045-52.
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  • Funding: National Council for the Development of Science and Technology (CNPq).

Publication Dates

  • Publication in this collection
    24 Jan 2020
  • Date of issue
    Dec 2019

History

  • Received
    30 June 2019
  • Accepted
    30 Aug 2019
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