scholarly journals Red Blood Cells in The First Trimester and The Risk of Gestational Diabetes: A Prospective Cohort Study

Author(s):  
Jiajing Jia ◽  
Ying Yang ◽  
Minjin Zhang ◽  
Li Lin ◽  
Yequn Chen ◽  
...  

Abstract Background: This research aimed to assess the potential association of gestational diabetes (GDM) with early trimester hematological parameters including hemoglobin (Hb), red blood cell (RBC), white blood cell (WBC), and platelet count (PLT) through a prospective cohort study.Methods: The prospective cohort included pregnant women subjected to prenatal examination at Shantou and Beijing hospitals in China from March 2014 to December 2015. Data were collected since the first perinatal visit in obstetrics clinics, and then participants were followed up at 24, 32, 36 gestational weeks and the time of delivery, respectively. Multivariable adjusted logistic regression models were conducted to estimate odds ratio (OR) and its corresponding 95% confidence interval (95% CI).Results: A total of 1004 pregnant women with singletons, less than 12 gestational weeks, and without history of chronic disease were eligible for analysis. The incidence of GDM was 18.82%, and the mean age was 29.50 ± 3.84 years. Total of 187 (18.63%) women who had abnormal RBC level and 222 (22.11%) had abnormal Hb in the first trimester of pregnancy. After multivariable adjustment, each unit increment in numeric RBC or Hb was associated with 177% and 4% increased risk for GDM. The risk for GDM was significantly increased with higher RBC (OR: 2.00 for RBC>4.55×1012 /L) and Hb (OR: 2.14 for Hb>139 g/L) levels in the first trimester.Conclusions: Elevated RBC and Hb in the first trimester are associated with increasing risk of GDM. Further evidence are warranted to confirm these possible causal relationships.

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Johana Ullmo ◽  
Monica Cruz-Lemini ◽  
Olga Sánchez-García ◽  
Lidia Bos-Real ◽  
Patricia Fernandez De La Llama ◽  
...  

Abstract Background Cardiovascular diseases (CVD) are cause of increased morbidity and mortality in spite of advances for diagnosis and treatment. Changes during pregnancy affect importantly the maternal CV system. Pregnant women that develop preeclampsia (PE) have higher risk (up to 4 times) of clinical CVD in the short- and long-term. Predominance of an anti-angiogenic environment during pregnancy is known as main cause of PE, but its relationship with CV complications is still under research. We hypothesize that angiogenic factors are associated to maternal cardiac dysfunction/remodeling and that these may be detected by new cardiac biomarkers and maternal echocardiography. Methods Prospective cohort study of pregnant women with high-risk of PE in first trimester screening, established diagnosis of PE during gestation, and healthy pregnant women (total intended sample size n = 440). Placental biochemical and biophysical cardiovascular markers will be assessed in the first and third trimesters of pregnancy, along with maternal echocardiographic parameters. Fetal cardiac function at third trimester of pregnancy will be also evaluated and correlated with maternal variables. Maternal cardiac function assessment will be determined 12 months after delivery, and correlation with CV and PE risk variables obtained during pregnancy will be evaluated. Discussion The study will contribute to characterize the relationship between anti-angiogenic environment and maternal CV dysfunction/remodeling, during and after pregnancy, as well as its impact on future CVD risk in patients with PE. The ultimate goal is to improve CV health of women with high-risk or previous PE, and thus, reduce the burden of the disease. Trial registration NCT04162236


2015 ◽  
Vol 113 (8) ◽  
pp. 1292-1300 ◽  
Author(s):  
Jian-Rong He ◽  
Ming-Yang Yuan ◽  
Nian-Nian Chen ◽  
Jin-Hua Lu ◽  
Cui-Yue Hu ◽  
...  

Few studies have explored the relationship between dietary patterns and the risk of gestational diabetes mellitus (GDM). Evidence from non-Western areas is particularly lacking. In the present study, we aimed to examine the associations between dietary patterns and the risk of GDM in a Chinese population. A total of 3063 pregnant Chinese women from an ongoing prospective cohort study were included. Data on dietary intake were collected using a FFQ at 24–27 weeks of gestation. GDM was diagnosed using a 75 g, 2 h oral glucose tolerance test. Dietary patterns were determined by principal components factor analysis. A log-binomial regression model was used to examine the associations between dietary pattern and the risk of GDM. The analysis identified four dietary patterns: vegetable pattern; protein-rich pattern; prudent pattern; sweets and seafood pattern. Multivariate analysis showed that the highest tertile of the vegetable pattern was associated with a decreased risk of GDM (relative risk (RR) 0·79, 95 % CI 0·64, 0·97), compared with the lowest tertile, whereas the highest tertile of the sweets and seafood pattern was associated with an increased risk of GDM (RR 1·23, 95 % CI 1·02, 1·49). No significant association was found for either the protein-rich or the prudent pattern. The protective effect of a high vegetable pattern score was more evident among women who had a family history of diabetes (P for interaction = 0·022). These findings suggest that the vegetable pattern was associated with a decreased risk of GDM, while the sweets and seafood pattern was associated with an increased risk of GDM. These findings may be useful in dietary counselling during pregnancy.


2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Sanaz Soltani ◽  
Azadeh Aminianfar ◽  
Hossein Hajianfar ◽  
Leila Azadbakht ◽  
Zahra Shahshahan ◽  
...  

Abstract Background Limited and inconsistent data are available regarding the relationship between the dietary inflammatory potential (DIP) and risk of gestational diabetes mellitus (GDM). Objective The present prospective study aimed to evaluate the association between DIP score during the first trimester of pregnancy and risk of developing GDM among Iranian women. Methods In this prospective cohort study, 812 pregnant women aged 20–40 years, who were in their first trimester, were recruited and followed up until week 24–28 of gestation. Dietary intakes of study subjects were examined using an interviewer-administered validated 117-item semi-quantitative food frequency questionnaire (FFQ). DIP score was calculated from 29 available food parameters based on earlier literature. The results of a fasting plasma glucose concentration and a 50-g, 1-h oral glucose tolerance test, between the 24th and 28th week of gestation, were used to diagnose GDM. The risk of developing GDM across quartiles of DIP score was estimated using Cox regression in several models. Results At study baseline, mean (SD) age and BMI of study participants were 29.4 (±4.84) y and 25.14 (±4.08) kg/m2, respectively. No significant association was found between DIP score and risk of GDM in the crude model (RR: 1.01; 95% CIs: 0.71–1.45). When we adjusted for age the association did not alter (RR: 1.04; 95% CIs: 0.72–1.48). Even after further adjustment for maternal weight gain we failed to find a significant association between DIP score and risk of GDM (RR: 0.97; 95% CIs: 0.66–1.41). Conclusion We found no significant association between DIP and risk of developing GDM. Further longitudinal studies among other populations are needed to elucidate the association between DIP score and GDM.


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