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Aim To observe the effects of oral puerarin (Pue) on the maternal gestational diabetes mellitus (GDM) rats and its fetal growth and development, so as to provide references for the application of Pue in the treatment of GDM. Methods The GDM rat model was established by injecting streptozotocin (STZ) into the tail vein of pregnant female rats, and the rats were treated with Pue orally for 12 days; the body weight and abortion of pregnant rats were recorded. The fasting blood glucose of pregnant rats was detected before and at the end of the treatment, and the glucose tolerance was tested on the 5th and 10th days after the administration of the drug. The cesarean sections were carried out on the 20th day of pregnancy. The blood glucose content of the fetal rats was detected, and the state of development was observed. The body weight and length were measured, as well as the placenta and the important organs weight, and the indexes of the organs were calculated. Results Compared with the model group, Pue could significantly reduce the fasting blood glucose of GDM pregnant rats and fetal rats, improve the glucose tolerance of pregnant rats, effectively alleviate the excessive weight gain of pregnant rats and overweight of fetal rats caused by GDM, and reduce the abortion rate; it could also reverse the decrease in the indexes of the organs of brain, heart, and liver, and the increase in the indexes of organs of kidney in fetal rats caused by GDM. Conclusions Pue can relieve the maternal and the fetal hyperglycemia in GDM, reduce the rate of miscarriage, reduce the incidence of macrosomia, and promote the development of vital fetal organs.
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Objetivo: Avaliar os desfechos neonatais adversos e fatores associados entre gestantes com diabetes mellitus gestacional e de risco gestacional habitual. Métodos: Estudo transversal, de âmbito nacional e de base hospitalar, conduzido entre fevereiro de 2011 e outubro de 2012. Foram excluídas as mulheres com gestações múltiplas ou natimortos. As informações foram coletadas via questionário padronizado, cartão de pré-natal e/ou prontuário. Resultados: Das 12.712 puérperas avaliadas, 1.915 tinham diabetes mellitus gestacional e 10.797 foram classificadas em risco gestacional habitual. Verificou-se que 74,1% das mulheres com diabetes receberam assistência pré-natal adequada/mais que adequada em relação a 65% das mulheres com risco gestacional habitual. Em contrapartida, o grupo das mulheres com diabetes foi composto em sua maioria por mulheres acima de 35 anos, com hipertensão prévia, excesso de peso pré-gestacional e ganho de peso gestacional excessivo, multíparas, com histórico de cesárea e abortos. Os desfechos "prematuridade" e "nascimento de recém-nascido grande para idade gestacional" foram superiores entre as mulheres com diabetes. Conclusão: As mulheres com diabete detiveram condições demográficas, antecedentes clínicos/obstétricos e desfechos neonatais mais desfavoráveis em relação às mulheres de risco gestacional habitual. Apesar disso, o pré-natal foi um dos fatores que exerceu extrema importância para que outros desfechos negativos (óbito neonatal e o Apgar<5) não fossem superiores entre as mulheres com diabete sem relação às de risco gestacional habitual. Portanto, reitera-se o papel do pré-natal entre as mulheres brasileiras, sobretudo as de alto risco gestacional.
Objective: To assess adverse neonatal outcomes and associated factors between pregnant women with gestational diabetes mellitus and usual gestational risk. Methods: Cross-sectional, nationwide, hospital-based study, conducted from February 2011 to October 2012. Women with multiple pregnancies or stillbirths were excluded. Information was collected using a standardized questionnaire, prenatal card and/or medical records. Results: Out of a total of 12,712 postpartum women evaluated, 1,915 had gestational diabetes mellitus and 10,797 were classified as usual gestational risk. It was observed that 74.1% of diabetics received adequate/more than adequate prenatal care compared to 65% of women with usual gestational risk. On the other hand, the group of diabetics was composed mostly of women over 35 years of age, with underlying hypertension, pre-gestational excess weight and excess gestational weight gain who were multiparous, with history of cesarean deliveries and abortions. The outcomes of "prematurity" and "birth of large-sized newborn" for the gestational age were higher among diabetics. Conclusion: Diabetic women had more unfavorable demographic conditions, clinical/obstetric history and neonatal outcomes compared to women with usual gestational risk. Nevertheless, prenatal care was a factor of extreme importance to prevent other negative outcomes (neonatal death and Apgar <5) to increase among diabetic women compared to those with usual gestational risk. Therefore, the role of prenatal care among Brazilian women is reiterated, especially among the high gestational risk women.
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Humans , Female , Pregnancy , Prenatal Care , Diabetes, Gestational , Pregnancy, High-Risk , Brazil , Infant, Premature , Infant Mortality , Cross-Sectional Studies , Economic Factors , Sociodemographic FactorsABSTRACT
SUMMARY OBJECTIVE: The aim of this study was to analyze the second-trimester levels of vitronectin and plasminogen activator inhibitor-1 in gestational diabetes mellitus. METHODS: This study was conducted between September 2020 and December 2020 at the University of Health Sciences, Bursa Yuksek Ihtisas Research and Training Hospital, Department of Obstetrics and Gynecology. A total of 30 pregnant women with gestational diabetes mellitus and 60 healthy controls between 24 and 27/6 weeks of gestation were included. The inclusion criteria were as follows: being between 18 and 45 years old and 24-27/6 gestational weeks, having singleton pregnancy, diagnosed with gestational diabetes mellitus by using a two-step challenge test. The exclusion criteria of this study were as follows: chronic inflammatory or infectious disease, fasting blood glucose>126 mg/dL, intolerance to glucose tolerance testing, abnormal liver or kidney function tests, as well as pregnancy with pre-gestational diabetes history of adverse perinatal outcomes. Serum vitronectin and plasminogen activator inhibitor-1 levels were measured using the enzyme-linked immunosorbent assay method. RESULTS: Vitronectin and plasminogen activator inhibitor-1 levels were higher in the gestational diabetes mellitus group compared with controls [91.85 (23.08) vs. 80.10 (39.18) ng/mL, for vitronectin and 6.50 (1.05) vs. 4.35(1.0) ng/mL, for plasminogen activator inhibitor-1 (for both p<0.001)]. vitronectin >84.7 ng/mL was found to predict gestational diabetes mellitus with a sensitivity of 70% and specificity of 63.3%. Moreover, vitronectin had a significant positive correlation with fasting blood glucose (r=0.476, p<0.001), postprandial blood glucose (r=0.489, p<0.001), HbA1c (r=0.713, p<0.001), and plasminogen activator inhibitor-1 (r=0.586, p<0.001). CONCLUSION: This study revealed that second-trimester vitronectin and plasminogen activator inhibitor-1 are increased in gestational diabetes mellitus and vitronectin could be a candidate for the prediction of gestational diabetes mellitus.
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Objectives: Various physiological mechanisms counteract insulin resistance (IR) during normal pregnancy. Psychological stress is a known, independent risk factor for developing IR. Pregnancy-specific psychological stress may cause IR and increase the risk of overt diabetes. Hence, the study aims to evaluate maternal psychological stress using multiple stress markers and their association with changes in IR during pregnancy and postpartum. Materials and Methods: Anthropometric measurements such as height, weight and skinfold thickness were measured using standard techniques. The stress markers were assessed using perceived stress scales (K10 questionnaire), a physiological marker of stress (Heart rate variability [HRV] measures) and biochemical stress markers (Saliva, hair cortisol levels). IR was estimated using homeostasis model assessment-estimated IR (HOMA-IR). The association of stress markers with IR was studied among fifty healthy pregnant women during pregnancy and postpartum. Results: The psychological stress scores and saliva cortisol were significantly higher during pregnancy than postpartum (P = 0.000). A comparison of cardiac autonomic function as assessed by HRV measures shows that high frequency in normalised units (HFnu) was significantly higher during the postnatal period than in the prenatal period (P = 0.000). High frequency (HF) spectral power in absolute units was also significantly higher (P = 0.002) in the postpartum period (2612.30 ± 432.24) when compared with the prenatal period (1446.10 ± 299.15). Low frequency in normalised units (LFnu), low frequency (LF)/HF ratio was significantly higher during the prenatal period than in the postnatal period (P = 0.000). As assessed by HOMA-IR values, IR was significantly higher during the prenatal period than postpartum (P = 0.04). There was a significant positive correlation between prenatal psychological stress scores, HRV parameters (LFnu, LF/HF) and postnatal IR. Conclusion: Pregnancy is associated with higher psychological stress levels and IR than postpartum. Furthermore, the maternal cardiac autonomic marker could predict postnatal IR among healthy pregnant women.
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Background: The prevalence of hyperglycemia first detected during pregnancy is showing an escalating increase in recent years contributed by the increasing obesity prevalence, advanced maternal age at delivery, and the universal screening protocol during the first antenatal visit. There exists a very little data on the role of HbA1c in pregnancy and the results remain inconsistent. There is a need to define diagnostic criteria to predict the adverse perinatal outcomes in gestational diabetes mellitus (GDM). Aims and Objectives: This study was aimed to assess the role of HbA1c as a prognostic indicator of third trimester mean blood glucose in GDM pregnancies and in predicting the birth of large for gestational age (LGA) babies. Materials and Methods: 200 pregnant women with GDM and 200 pregnant women without GDM and their neonates participated in this analytical cross-sectional study. Maternal age, height, weight, BMI, and neonatal birth weight were recorded. Third trimester maternal HbA1c level was analyzed by high-performance liquid chromatography. The association between HbA1c and LGA births was analyzed. Results: The mean HbA1c levels and percentage of LGA births were high in GDM group. Multiple logistic regression analysis showed association between high HbA1c values and LGA births in GDM. A Receiver operating characteristic curve was drawn to derive the optimal cut-off value, sensitivity, and specificity of HbA1c in predicting birth of LGA neonates in GDM. Conclusion: This study shows that high third trimester HbA1c levels in GDM increase the risk of LGA births. Further studies are needed to define standard cut-off values of glycated Hb in each trimester of pregnancy.
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Background: Adverse perinatal outcome has always been a devastating experience for the mother. Advanced maternal age and other risk factors are independent risk factor for perinatal outcome. Therefore, aim of study is to compare the effect of these factor in different study group. Aims and Objectives: Case–control study has been conducted to evaluate obstetrics outcome, maternal morbidity, and perinatal outcome in patients with bad obstetric history. Materials and Methods: A prospective observational case–control study has been conducted in two groups; GROUP A: BOH group (n = 44) and GROUP B: Controls (n = 88) who fulfilled inclusion criteria in Department of Obstetrics and Gynaecology, GMERS Medical college, Sola during the period of August 2018 to August 2020. Statistical analysis was done by descriptive statistics and qualitative and quantitative method. Results: Incidence of hypertension in Group A was 25%, while in Group B incidence was 6.8%. Incidence of hypertension was 4.5 times higher in Group A than B which was statistically significant (P < 0.05). Incidence of PROM, gestational diabetes mellitus, thyroid dysfunction was higher in Group A than Group B. Higher incidence of preterm delivery found in Group A than in Group B which was statistically significant (P < 0.05). Conclusion: Among all BOH group, cases with previous history of preterm delivery, still birth, recognition of prior learning, and HTD were the major risk factors which could be responsible for adverse obstetric and perinatal outcome.
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Purpose: Gestational diabetes mellitus (GDM) is fairly common in India. There is an interplay of various factors like androgens, sex hormone?binding globulin (SHBG), estrogen, and progesterone on the tear film in pregnancy. Diabetes mellitus in itself affects the lacrimal function unit (LFU) and ocular surface. This study was therefore performed to assess the effect of the various factors on the tear film function and ocular surface in GDM using different diagnostic tests. Methods: Case–control study includes 49 subjects after calculating the sample size. Cases of newly diagnosed GDM in their second or third trimester of pregnancy without any ocular or systemic comorbidities. The following standard tests were performed, namely, ocular surface disease index (OSDI) scoring, Schirmer’s test, tear film breakup time (TBUT), and ocular surface staining (SICCA). Results: The two study groups did not differ significantly in terms of age, gestational age, and presenting symptoms. None of the patients had diabetic retinopathy, and the ocular surface was unaffected in both groups. There was a significant difference in the Schirmer’s II test (P = 0.01) between the groups, while Schirmer’s I (P = 0.06) and TBUT (P = 0.07) were not significant. Conclusion: Our study suggests that GDM patients can potentially suffer from DES despite the lack of symptoms and may be the basis for conducting larger studies to justify routine screening of GDM for DES in order to improve the quality of life of pregnant women
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Background & objectives: Gestational or preexisting diabetes is one of the risk factors of pre-eclampsia. Both are responsible for higher maternal and fetal complications. The objective was to study clinical risk factors of pre-eclampsia and biochemical markers in early pregnancy of women with diabetes mellitus (DM)/gestational diabetes mellitus (GDM) for the development of pre-eclampsia. Methods: The study group comprised pregnant women diagnosed with GDM before the 20 wk of gestation and DM before pregnancy and the control group had age-, parity- and period of gestation-matched healthy women. Sex hormone-binding globulin (SHBG), insulin-like growth factor-I (IGF-I) and 25-hydroxy vitamin D [25(OH)D] levels and the polymorphism of these genes was evaluated at recruitment. Results: Out of 2050 pregnant women, 316 (15.41%) women (296 had GDM and 20 DM before pregnancy) were included in the study group. Of these, 96 women (30.38%) in the study group and 44 (13.92%) controls developed pre-eclampsia. Multivariate logistic regression analysis indicated those who belonged to the upper middle and upper class of socio-economic status (SES) were likely to be at 4.50 and 6.10 times higher risk of developing pre-eclampsia. The risk of getting pre-eclampsia among those who had DM before pregnancy and pre-eclampsia in their previous pregnancy was about 2.34 and 4.56 times higher compared to those who had no such events, respectively. The serum biomarkers [SHBG, IGF-I and 25(OH)D] were not found to be useful in predicting pre-eclampsia in women with GDM. To predict risk of development of pre-eclampsia, the fitted risk model by backward elimination procedure was used to calculate a risk score for each patient. Receiver operating characteristic (ROC) curve for pre-eclampsia showed that area under the curve was 0.68 (95% confidence interval: 0.63-0.73); P<0.001. Interpretation & conclusions: The findings of this study suggested that pregnant women with diabetes were at a higher risk for pre-eclampsia. SES, history of pre-eclampsia in previous pregnancy and pre-GDM were found to be the risk factors.
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Background: Gestational diabetes mellitus (GDM) is one of the most common complications of pregnancy and associated with adverse outcomes of pregnancy for mother and baby. GDM exposes fetus to hyperglycemia and it leads to macrosomia, birth trauma, shoulder dystocia, neonatal hypoglycemia, hyperbilirubinemia, hypocalcemia, polycythemia, and respiratory distress syndrome. Aim and Objectives: The objective of this study is to analyze maternal and neonatal outcomes of pregnancy in women with GDM. Materials and Methods: This study was carried out prospectively in the department of obstetrics and gynecology, tertiary care hospital, Gujarat, over a period of December 2020–December 2021. Total 104 patients were diagnosed with GDM and included in this study. Exclusion criteria include pregnant women with pre-existing diabetes, pregnancy with more than one fetus, other chronic disease, still birth, on medication that might affect glucose metabolism (steroids, anti-psychotic medications, etc.), not willing to participate. A detailed history of all patients was taken. Results: Out of 990 patients, 104 (10.5%) pregnant women were found to have GDM. Adverse maternal outcomes were polyhydramnios (38.4%), antepartum haemorrhage (1.9%), postpartum hemorrhage (4.8%), sepsis (1.9%), wound infection (1.9%), and urinary tract infection (10.6%). Most common neonatal complication was hypoglycemia (29.8%), prematurity (16.3%), and macrosomia (10.5%). Conclusion: The increasing prevalence of risk factors related to GDM; it is likely that GDM in pregnant women will give adverse outcomes. The antenatal screening for GDM is key for early diagnosis and treatment during antennal visit and that will improve maternal and fetal outcome. Management of GDM can prevent development of future diabetes mellitus in women.
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Background: Gestational diabetes mellitus (GDM) is a type of insulin resistance that develops in the second trimester of pregnancy. This type of diabetes ends after delivery. GDM poses serious health hazards to both the mother and the baby. Pathology behind this carbohydrate intolerance is insulin resistance. The previous studies have pointed out that this insulin resistance is due to oxidative stress caused by free radicals. Free radicals can be generated by iron. Since pregnancy is a condition where iron requirement rises, universal iron supplementation is given. According to the previous studies, excess iron can cause free-radical mediated injury leading on to diabetes. Supplementation of a prooxidant irrespective of body iron stores may be more harmful than beneficial. Hemoglobin and PCV are two hematological parameters that reflect body iron stores. Aims and Objectives: The aim of the study was to compare hemoglobin and PCV values in pregnant woman with and without GDM. Materials and Methods: A case–control study was done in the obstetric department of a tertiary care center in south India from August 2010 to December 2010.The study included 85 cases and 85 controls. Cases were pregnant women at 24–28 weeks of gestation with gestational diabetes who attended the obstetric OPD during the study period. GDM was diagnosed as per ADA guidelines. Controls were pregnant women at 24–28 weeks gestation without GDM as per ADA guidelines. Data for the study were collected using a preformed tested questionnaire. All subjects were provided with iron supplementation according to the national programme. Estimation of hemoglobin and PCV was done with 2 ml of blood sample obtained by venepuncture using an automated analyzer. The association of elevated hemoglobin and PCV with the risk of developing GDM was tested using Chi-square analysis. P ? 0.05 was taken as statistically significant. Results: Hemoglobin in cases and controls showed a significant difference by Chi-square analysis (P = 0.004). PCV in cases was significantly higher than in controls by Chi-square analysis (P = 0.003). Conclusion: The study found a statistically significant association between higher maternal hemoglobin level and PCV with GDM.
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Gestational diabetes mellitus (GDM) and preeclampsia (PE) are most common pregnancy complications with similar risk factors and path physiological changes. When a pregnant woman has high blood pressure, protein in her urine, and often swelling in fingers and toes that doesn't go away, she might have preeclampsia .it is a serious problem that needs to be watched closely and managed by her doctor .high blood pressure can cause harm to both the woman and her unborn baby.it might lead to the baby being born early and also could cause seizures or a stroke in the women with diabetes have high blood pressure more often than women without diabetes From previous studies suggests that the incidence of PE commonly increased in women with GDM. and GDM complicated by PE further increases the adverse effect on maternal and new born babies health. This study provides the prevalence of PE in GDM and its adverse maternal outcomes
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Objective@#To explore the dose-response relationship between pre-pregnancy body mass index (BMI) and gestational diabetes mellitus (GDM), so as to provide insights into the cut-off values of pre-pregnancy BMI and optimizing GDM prevention and control strategies. @*Methods@#Pregnant women that admitted to Zhengzhou Central hospital in 2021 were recruited, and demographics, family history, pregnancy and delivery history and blood glucose levels during pregnancy were collected. The dose-response relationship between pre-pregnancy BMI and GDM was analyzed using restricted cubic spline (RCS) analysis. The predictive ability of pre-pregnancy BMI for GDM risk was evaluated using receiver operating characteristic (ROC) curve. @*Results@#A total of 2 279 participants were included in the study. The median age was 29.0 (interquartile range, 5.0) years. The median pre-pregnancy BMI was 21.1 (interquartile range, 3.8) kg/m2. There were 312 underweight women (13.69%), 825 women with low-normal weight (36.20%), 730 women with high-normal weight (32.03%), 345 overweight women (15.14%) and 67 obese women (2.94%).The prevalence of GDM was 17.20%. RCS analysis suggested a linear dose-response relationship between age, pre-pregnancy BMI and GDM (P<0.05). When pre-pregnancy BMI was higher than 21.1 kg/m2, the risk of GDM increased with pre-pregnancy BMI (P<0.05). When women aged over 29.0 years, the risk of GDM increased with age, and the dose-response relationship of GDM caused by pre-pregnancy BMI was stronger in the women aged over 29.0 years than in the women aged 29.0 years and below (P<0.05). The area under curve (AUC) was 0.654 (95%CI: 0.624-0.684). If the cut-off value of pre-pregnancy BMI was 23.0 kg/m2, the Youden index, sensitivity and specificity was 0.238, 0.472 and 0.766, respectively. If it was 24.0 kg/m2, the Youden index, sensitivity and specificity was 0.195, 0.342 and 0.853, respectively. If it was 21.1 kg/m2, the Youden index, sensitivity and specificity was 0.213, 0.676 and 0.537, respectively.@* Conclusions @# There is a linear dose-response relationship between pre-pregnancy BMI and GDM, and higher than 21.1 kg/m2 of the pre-pregnancy BMI could increase the risk of GDM.
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Objective:To detect the changes of left ventricular myocardial work parameters, and evaluate the left ventricular systolic function in patients with hyperglycemia during pregnancy by left ventricular pressure-strain loop (PSL).Methods:From June 2021 to March 2022, 97 pregnant women who were admitted to the Second Affiliated Hospital of Harbin Medical University and clinically diagnosed as gestational hyperglycemia were prospectively and randomly selected. According to the blood glucose level, the patients were divided into gestational dominant diabetes mellitus (ODM) group(39 cases) and gestational diabetes mellitus (GDM) group(58 cases). Meanwhile, another 62 healthy pregnant women were selected as control group. The basic clinical data of the pregnant women were collected, and the conventional two-dimensional parameters of the heart were collected. The global longitudinal strain (GLS) was analyzed by two-dimensional speckle tracking technique. Then the cuff blood pressure was used as the left ventricular pressure to construct a non-invasive left ventricular pressure-strain loop. The global myocardial work index (GWI), global constructive work (GCW), global wasted work (GWW) and global work efficiency (GWE) of each group were calculated and compared. The correlation between myocardial performance parameters and GLS, glycated hemoglobin(HbA 1c) were analyzed, and the independent factors affecting left ventricular systolic function were obtained by Logistic regression analysis. Twenty cases were randomly selected from the study subjects, and the intraclass correlation coefficients(ICC) of within the observers and between observers were calculated for repeatability test. Results:①Conventional ultrasound parameters: There were no significant differences among the three groups (all P>0.05). ②GLS and left ventricular myocardial performance parameters: GWI, GWE, GCW and GLS in GDM and ODM groups were significantly lower than those in control group (all P<0.001), GWW was significantly higher than control group ( P<0.001); GWI, GWE, GCW and GLS in ODM group were lower than those in GDM group (all P<0.001), while GWW was higher than control group ( P<0.001). ③GWE, GWI and GCW were negatively correlated with GLS ( r=-0.525, -0.408, -0.435; all P<0.05), GWW was positively correlated with GLS ( r=0.348, P<0.05). GWE, GWI and GCW were negatively correlated with HbA 1c ( r=-0.325, -0.262, -0.250; all P<0.05), while GWW was positively correlated with HbA 1c ( r=0.175, P<0.05). ④GWE, 1 h oral glucose tolerance test and HbA 1c were the influencing factors of left ventricular systolic function in patients with hyperglycemia during pregnancy. ⑤The predictive values of GWI, GWE, GCW, GWW and GLS for cardiac function in patients with gestational hyperglycemia were high, and the predictive value of GWE was the highest (AUC: 0.87, the best truncation value: 94.5%, specificity: 0.76, sensitivity: 0.82) and better than GLS. ⑥The repeatability of myocardial work parameters was better in both groups. Conclusions:Myocardial work parameters obtained by PSL are early and sensitive parameters for evaluating left ventricular systolic function impairment in patients with hyperglycemia during pregnancy which can provide reliable and objective quantitative indicators for early clinical intervention and improvement of prognosis.
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Gut microbiota is the microbial community that resides on the surface of human intestinal mucosa. During normal pregnancy, the composition of gut microbiota may change dynamically with the progress of pregnancy. Gestational diabetes mellitus (GDM) is a common complication of pregnancy, which can affect maternal and neonatal intestinal flora, and affect the long-term glucose metabolism of mothers and infants through exacerbating insulin resistance and promoting inflammatory response. Adjustment of dietary structure and application of probiotics may regulate intestinal microbiota and improve maternal and neonatal glucose metabolism in GDM. Here we reviewed the correlation between intestinal flora and glucose metabolism during pregnancy, and discussed the effects of diet and probiotics on gut microbiota.
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Objective:To assess the association of appendicular skeletal muscle mass(ASM) to fat mass(FM) ratio in early pregnancy with the risk of gestational diabetes mellitus (GDM).Methods:A total of 468 pregnant women who visited the Nutritional Department of Peking Union Medical College Hospital or Shunyi Maternal and Child Care Service Center in 2018 and 2019 were recruited. Detailed information and clinical data were collected. The body components were measured using the bioelectrical impedance analysis (BIA) method during early pregnancy (< 14 weeks) and the ASM to FM ratio was calculated. The patients were divided into the GDM group and normal glucose tolerance (NGT) group according to the results of the oral glucose tolerance test (OGTT) performed during 24-28 weeks. Binary logistics regression was used to explore the correlation between the ASM/FM ratio and the risk of GDM. The receiver operator characteristic (ROC) curve of subjects was used to evaluate the predictive value of ASM/FM ratio for GDM and the cut-off value was reported.Results:Compared to the NGT group, the ASM and FM in early pregnancy in the GDM group were significantly higher, while the ASM/FM ratio was significantly lower. A lower ASM/FM ratio in early pregnancy was one of the risk factors of developing GDM. The cut-off value of the ASM/FM ratio was 0.809. The area under the ROC curve for predicting GDM increased from 68.1% to 72.3% when ASM/FM ratio was incorporated, with a significant difference by Delong test ( P = 0.006). Conclusion:Inadequate muscle mass would increase the risk of GDM and the ASM/FM ratio could serve as a predictor of GDM.
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Objective:To study the impacts of pre-pregnancy body mass index (BMI), gestational diabetes mellitus (GDM) and gestational weight gain (GWG) on perinatal outcomes and mode of delivery.Methods:From November 2016 to December 2017, single-pregnancy women in early pregnancy (<13 weeks) regularly checked-up at our hospital were enrolled in this prospective cohort study and followed up until delivery. They were assigned into four groups according to pre-pregnancy BMI: obese group (≥28.0 kg/m 2), overweight group(24.0-<28.0 kg/m 2), normal group (18.5-<24.0 kg/m 2) and underweight group(<18.5 kg/m 2). A 75-g oral glucose tolerance test was performed at 24-28 weeks of pregnancy to screen for GDM. The optimal GWG was 11.0-16.0 kg for underweight group, 8.0-14.0 kg for normal group, 7.0-11.0 kg for overweight group and 5.0-9.0 kg for obesity group. The effects of pre-pregnancy BMI, GDM and GWG on perinatal outcomes and delivery mode were evaluated using multivariate logistic regression methods. Results:A total of 802 pregnant women were included. The incidences of pre-pregnancy overweight and obesity were 21.8% and 8.9%, respectively. The incidence of GDM was 14.1%. 57.2% of the participants experienced excessive GWG. The incidences of macrosomia, low birth weight and premature birth were 7.1%, 2.7% and 2.2%, respectively. The incidence of Cesarean delivery (C-section) was 37.7%. Pre-pregnancy obesity [adjusted odds ratio ( AOR)=4.355, 95% confidence interval ( CI) 1.900-9.980] and excessive GWG ( AOR=3.799, 95% CI 1.796-8.034) were independent risk factors for macrosomia. Excessive GWG was a protective factor for low birth weight ( AOR=0.279, 95% CI 0.084-0.928) and inadequate GWG was a risk factor for low birth weight ( AOR=10.954, 95% CI 3.594-33.382) and premature birth ( AOR=8.796, 95% CI 2.628-29.438). Compared with the normal group, overweight group had an increased risk of C-section ( AOR=1.817, 95% CI 1.119-2.949). Compared with pregnant women without pre-pregnancy overweight/obesity, GDM nor excessive GWG, any combination of two of the above-mentioned three factors increased the risks of macrosomia ( AOR=3.908, 95% CI 1.630-9.370) and C-section ( AOR=2.269, 95% CI 1.325-3.886). The risks of macrosomia and C-section were the highest when all three factors existed. Conclusions:Pre-pregnancy obesity and excessive GWG are independent risk factors for macrosomia and pre-pregnancy overweight is a risk factor of C-section. Exposure to any two of the three factors (pre-pregnancy overweight/obesity, GDM and excessive GWG) increases risks of macrosomia and C-section and the highest risk is observed when all three factors are present.
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Objective:To analyze the clinical value of relative expression of peroxisome proliferators-activated receptors mRNA (PPAR mRNA) and protein in placental tissues of pregnant women with gestational diabetes mellitus (GDM) .Methods:52 pregnant women (the study group) with GDM who were admitted to our hospital from Jan. 2019 to Nov. 2020 and 50 normal pregnant women (the control group) who underwent physical examination and gave birth during the same period were selected. Serum samples were collected to detect the islet cell function. Placental tissue samples of the two groups of pregnant women were collected after delivery to measure the content of PPARγmRNA and protein in placental tissues and adipose tissues. The correlations between PPARγ in placental, adipose tissues of GDM pregnant women with islet cell function were analyzed.Results:The HOMA-IR level of the study group was higher than that of the control group [ (3.45±1.06) % vs (1.40±0.43) %], and the HOMA-β level [ (126.59±23.59) % vs (153.12±27.34) %] was lower than that of the control group ( P<0.05). The PPARγ mRNA [ (1.65±0.21) vs (0.93±0.16) ] and PPARγ protein content [ (1.89±0.51) vs (1.02±0.23) ] of placenta tissue in the study group were higher than those in the control group ( P<0.05), the PPARγmRNA [ (0.49±0.12) vs (1.15±0.26) ] and PPARγ protein content [ (0.43±0.11) % vs (0.96±0.22) %] in adipose tissue were lower than those of the control group ( P<0.05). Adipose tissue PPARγ mRNA and PPARγ protein were negatively correlated with HOMA-IR ( r=-0.45, -0.33), and positively correlated with HOMA-β ( r=0.47, 0.43) ( P<0.05) ; placental tissue PPARγ mRNA and PPARγ protein were positively correlated with HOMA-IR ( r=0.40, 0.37), and negatively correlated with HOMA-β ( r=-0.44, -0.35) ( P<0.05) . Conclusion:The levels of PPARγ mRNA and PPARγ protein are low expressed in adipose tissue of GDM patients, and highly expressed in placental tissues, and PPARγ expression is significantly correlated with HOMA-IR and HOMA-β, which can provide new clinical treatment for GDM Target and direction.
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Objective:To investigate the effect of single nucleotide variation of osteoprotegerin (OPG) gene on the occurrence of osteoporosis (OP) in patients with gestational diabetes mellitus (GDM) .Methods:From Apr. 2018 to Apr. 2022, 276 pregnant women with GDM who underwent prenatal examination and gave birth in Linyi People’s Hospital were collected for analysis, general data were collected and bone mineral density was tested. According to the bone mineral density test results, they were divided into normal group and OP group. The OPG genotype was tested, and the general information, OPG genotype and allele frequency of the two groups were compared. The differences in bone mineral density among different genotypes of OPG were compared, and the genotypes affecting the risk of OP in GDM patients were analyzed.Results:There was no significant difference in the general data of the two groups of patients (all P>0.05). The allelic distribution of the rs3134069 and rs2073618 loci of the OPG gene in the two groups of patients conformed to the Hardy-Weinberg equilibrium law (all P>0.05). There was a statistically significant difference in the frequency of the AC genotype at rs3134069 between the two groups ( χ2=7.75, P=0.005). Taking patients with the AA genotype as a reference, patients with the AC genotype had a lower risk of developing OP ( OR=0.15, 95% CI: 0.03-0.59). There was a statistically significant difference in the frequency of CC genotype at rs2073618 between the two groups ( χ2=11.30, P=0.001). Taking patients with GG genotype as a reference, patients with CC genotype had a higher risk of developing OP ( OR=7.42, 95% CI: 2.19-27.18). Comparing rs3134069 and rs2073618 loci, there was no significant difference in bone mineral density at each part of the three genotypes (all P>0.05). The multivariate Logistic regression model showed that the AC genotype of rs3134069 ( OR=0.18, 95% CI: 0.03-0.70, P=0.029) was a protective factor for the induction of OP, while GC genotype of rs2073618 ( OR=6.86, 95% CI: 1.57-27.15, P=0.007) were the risk factors for OP in GDM patients. Conclusion:The CC genotype of rs2073618 is significantly positively correlated with the susceptibility to OP in GDM patients.
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@#Introduction: There is limited evidence on dietary patterns and the risk of type 2 diabetes (T2D) in women with a history of gestational diabetes mellitus (GDM) compared to their non-GDM counterparts, especially in the Asian population. The pilot study investigated dietary patterns in women with a history of GDM (HGDM) and without a history of GDM (non-HGDM), and the association with T2D risk. Methods: This comparative cross-sectional study involved 64 women (32 HGDM, 32 non-HGDM). Food intake was assessed using a validated food frequency questionnaire. Principal component analysis derived the dietary patterns. T2D risk score was determined using the Finnish Diabetes Risk Score tool. Results: HGDM group had significantly higher proportion of first-degree family history of diabetes; higher risk of T2D and better diabetes knowledge; lower gestational weight gain and postpartum weight retention; and consumed more fast food than nonHGDM. ‘Rice-noodle-pasta-meat’ dietary pattern was significantly associated with increased T2D risk after adjusting for age (β=0.272, p=0.032). ‘Bread-cereals-fast food-meat’ dietary pattern was positively and significantly associated with T2D risk after adjusting for confounders, including age, education level, family history of diabetes, diabetes knowledge score, gestational weight gain, and postpartum weight retention (β=0.251, p=0.012). Conclusion: Dietary patterns high in bread, cereals and cereal products, fast food and meat, as well as rice, noodle, pasta and meat were associated with an elevated T2D risk. A more extensive study is warranted to establish the association between dietary patterns and risk of T2D, focusing on women with a history of GDM.
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Objective @#To investigate the status and influencing factors of self-management behaviors among pregnant women with gestational diabetes mellitus (GDM), so as to provide insights into health management of GDM.@*Methods@#GDM patients admitted to Medical Community General Hospital of Shaoxing Second Hospital were sampled from January to June 2023, and basic characteristics were collected using questionnaire surveys, including age, parity, education level and gestational age. The self-management behaviors were evaluated among GDM patients using the self-management behavior scale, and the social support level was evaluated using the social support scale, while the modes of coping with diseases were identified using the medical coping modes questionnaire (MCMQ). Factors affecting the self-management behaviors were identified among GDM patients using a multiple linear regression model.@*Results@#A total of 120 GDM patients were enrolled, with a mean age of (27.58±3.73) years and gestational age of (22.16±5.82) weeks. The score for self-management behaviors was (118.19±24.86) points among GDM patients, including 15 cases with good self-management behaviors (12.50%), 61 cases with moderate behaviors (50.83%) and 44 cases with poor behaviors (36.67%). Multiple linear regression analysis showed that educational level (high school: β'=0.168; junior college and above: β'=0.187), per capita monthly household income (≥5 000 Yuan, β'=0.305), health education for GDM (β'=0.087), coping mode (avoidance: β'=0.168; acceptance: β'=0.375) and social support level (general: β'=0.184; high: β'=0.429) were factors affecting self-management behaviors among GDM patients.@*Conclusion@#The self-management behaviors of GDM patients are associated with educational level, per capita monthly household income, health education for GDM, coping mode and social support level.