Risk factors for pre-eclampsia in pregnant Chinese women with abnormal glucose metabolism

2007 ◽  
Vol 101 (1) ◽  
pp. 74-76 ◽  
Author(s):  
Yu Sun ◽  
Huixia Yang ◽  
Wei Jie Sun
2020 ◽  
Vol 8 (1) ◽  
pp. e000903
Author(s):  
Ling-Jun Li ◽  
Jun Zhang ◽  
Alexis Shub ◽  
Izzuddin Aris ◽  
Kok Hian Tan

ObjectiveGestational diabetes mellitus (GDM) is a metabolic disorder of pregnancy that is increasingly prevalent among Chinese women. Few studies have examined whether the migration status of Chinese women contributes to the risks of developing GDM during pregnancy.Research design and methodsIn this observational, cross-sectional and hospital-based study, we examined the prevalence of GDM and glycemic levels at oral glucose tolerance test (OGTT) among 491 Australian Chinese migrants (n=491) and native Chinese (n=1000). We defined GDM using the International Association of Diabetes and Pregnancy Study Groups guidelines. We collected data on maternal age, body mass index (BMI) and gestational age (GA) at booking and GA at delivery from medical records. We used multiple logistic and linear regression models to calculate the OR of having GDM and mean differences in glycemic levels in Australian Chinese migrants, relative to native Chinese.ResultsAge-at-booking and BMI-at-booking adjusted GDM prevalence was significantly higher in Australian Chinese migrants than native Chinese (19.7% vs 14.6%; p=0.01). After adjusting for age, BMI at booking and GA at booking, fasting glucose levels were significantly lower (β −0.08 mmol/L; 95% CI −0.14 to 0.02), while 2-hour glucose levels were significantly higher (0.22 mmol/L; 0.02 to 0.43) in Australian Chinese immigrants than native Chinese.ConclusionsMigration status may be a marker for abnormal glucose metabolism during pregnancy among Australian Chinese migrants, possibly due to socio-economic disadvantages and lifestyle changes associated with migration.


2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Dafeng Liu ◽  
Lingyun Zhou ◽  
Xinyi Zhang ◽  
Yilan Zeng ◽  
Lang Bai ◽  
...  

Aim. This study is aimed at the characteristics of glucose metabolism and islet β cell function evaluated by the homeostasis model assessment of β cell function (HOMA-β) value and its risk factors in chronic hepatitis B (CHB) patients. Method. This cross-sectional study recruited 110 CHB patients (CHB group) and 110 patients without hepatitis B virus (non-HBV group); the groups were matched according to sex, age, and body mass index under the same glucose metabolism status. The risk factors, characteristics, and differences in glucose metabolism and HOMA-β values between the two groups were analyzed. Results. The abnormal glucose metabolism rate was higher in CHB patients with liver cirrhosis (LC) or hepatitis B envelope antigen (HBeAg) (−) status. In addition, under the same glucose metabolism status, the fasting plasma glucose (FPG) levels and 2-hour postprandial plasma glucose (2h-PG) levels in the CHB group were higher, while the HOMA-β values were significantly lower and the homeostasis model assessment of insulin resistance (HOMA-IR) value was not higher than that in the non-HBV group (all P < 0.0001 ). Further analyses revealed that the main risk factors for abnormal glucose metabolism were HBeAg (−) status and hepatitis B envelope antibody levels. But HBV serological and virological indicators had no effects on the HOMA-β values. Conclusion. Islet β cell function in patients with CHB was compromised, which is closely associated with fasting and postprandial hyperglycemia in chronic hepatitis B patients. Further research should be done to verify the compromised islet β cell function and then to investigate the mechanisms behind the effect of hepatitis B virus infection on islet β cell function in CHB patients.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Xi-Meng Wang ◽  
Yan Gao ◽  
Johan G. Eriksson ◽  
Weiqing Chen ◽  
Yap Seng Chong ◽  
...  

AbstractWe aimed to identify serum metabolites related to abnormal glucose metabolism (AGM) among women with gestational diabetes mellitus (GDM). The study recruited 50 women diagnosed with GDM during mid-late pregnancy and 50 non-GDM matchees in a Singapore birth cohort. At the 5-year post-partum follow-up, we applied an untargeted approach to investigate the profiles of serum metabolites among all participants. We first employed OPLS-DA and logistic regression to discriminate women with and without follow-up AGM, and then applied area under the curve (AUC) to assess the incremental indicative value of metabolic signatures on AGM. We identified 23 candidate metabolites that were associated with postpartum AGM among all participants. We then narrowed down to five metabolites [p-cresol sulfate, linoleic acid, glycocholic acid, lysoPC(16:1) and lysoPC(20:3)] specifically associating with both GDM and postpartum AGM. The combined metabolites in addition to traditional risks showed a higher indicative value in AUC (0.92–0.94 vs. 0.74 of traditional risks and 0.77 of baseline diagnostic biomarkers) and R2 (0.67–0.70 vs. 0.25 of traditional risks and 0.32 of baseline diagnostic biomarkers) in terms of AGM indication, compared with the traditional risks model and traditional risks and diagnostic biomarkers combined model. These metabolic signatures significantly increased the AUC value of AGM indication in addition to traditional risks, and might shed light on the pathophysiology underlying the transition from GDM to AGM.


2018 ◽  
Vol 7 (8) ◽  
pp. 941-948 ◽  
Author(s):  
Kristin Godang ◽  
Karolina Lundstam ◽  
Charlotte Mollerup ◽  
Stine Lyngvi Fougner ◽  
Ylva Pernow ◽  
...  

Context Mild primary hyperparathyroidism has been associated with increased body fat mass and unfavorable cardiovascular risk factors. Objective To assess the effect of parathyroidectomy on fat mass, glucose and lipid metabolism. Design, patients, interventions, main outcome measures 119 patients previously randomized to observation (OBS; n = 58) or parathyroidectomy (PTX; n = 61) within the Scandinavian Investigation of Primary Hyperparathyroidism (SIPH) trial, an open randomized multicenter study, were included. Main outcome measures for this study were the differences in fat mass, markers for lipid and glucose metabolism between OBS and PTX 5 years after randomization. Results In the OBS group, total cholesterol (Total-C) decreased from mean 5.9 (±1.1) to 5.6 (±1.0) mmol/L (P = 0.037) and LDL cholesterol (LDL-C) decreased from 3.7 (±1.0) to 3.3 (±0.9) mmol/L (P = 0.010). In the PTX group, the Total-C and LDL-C remained unchanged resulting in a significant between-group difference over time (P = 0.013 and P = 0.026, respectively). This difference was driven by patients who started with lipid-lowering medication during the study period (OBS: 5; PTX: 1). There was an increase in trunk fat mass in the OBS group, but no between-group differences over time. Mean 25(OH) vitamin D increased in the PTX group (P < 0.001), but did not change in the OBS group. No difference in parameters of glucose metabolism was detected. Conclusion In mild PHPT, the measured metabolic and cardiovascular risk factors were not modified by PTX. Observation seems safe and cardiovascular risk reduction should not be regarded as a separate indication for parathyroidectomy based on the results from this study.


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