Risk prevention of different forms of gestational diabetes mellitus based on energy metabolism prior to diagnosis.

Background: Gestational diabetes mellitus (GDM) is a metabolic disease that seriously endangers the health of mothers and children. It is important to monitor GDM in real-time before diagnosis and to prevent it effectively.

Objective: GDM was divided into the second trimester diagnosed diabetes mellitus (GDM_24) and the third trimester diagnosed diabetes mellitus (GDM_30).

Gestational diabetes mellitus prediction model: A risk factors analysis of pregnant women with gestational diabetes mellitus but have normal oral glucose tolerance test results in the second trimester of pregnancy.

Background: Oral glucose tolerance test (OGTT) is a standard for the diagnosis of gestational diabetes mellitus (GDM). However, clinically, some cases with normal results were diagnosed as GDM in the third trimester.

Objective: To establish a risk model based on energy metabolism, epidemiology, and biochemistry that could predict the GDM pregnant women with normal OGTT results in the second trimester.

Predictive models of hypertensive disorders in pregnancy based on support vector machine algorithm.

Background: The risk factors of hypertensive disorders in pregnancy (HDP) could be summarized into three categories: clinical epidemiological factors, hemodynamic factors and biochemical factors.

Objective: To establish models for early prediction and intervention of HDP.

Methods: This study used the three types of risk factors and support vector machine (SVM) to establish prediction models of HDP at different gestational weeks.

Evaluation of electrohysterogram measured from different gestational weeks for recognizing preterm delivery: a preliminary study using random Forest.

Developing a computational method for recognizing preterm delivery is important for timely diagnosis and treatment of preterm delivery. The main aim of this study was to evaluate electrohysterogram (EHG) signals recorded at different gestational weeks for recognizing the preterm delivery using random forest (RF). EHG signals from 300 pregnant women were divided into two groups depending on when the signals were recorded: i) preterm and term delivery with EHG recorded before the 26 week of gestation (denoted by PE and TE group), and ii) preterm and term delivery with EHG recorded during or after the 26 week of gestation (denoted by PL and TL group).

Estimation of 8-Electrode Configuration for Recognition of Uterine Contraction with Electrohysterogram.

As the representative of electrical activity from uterine muscle, electrohysterogram (EHG) is recorded non-invasively by multiple electrodes positioned on the abdominal surface. The purpose of our paper is to estimate different electrode configurations for recognizing uterine contractions (UCs) with EHG signals. 8-electrode configuration was taken as an example to show our novel method with convolutional neural network (CNN) classification and score.

Novel SPEG variant cause centronuclear myopathy in China.

Background: Centronuclear myopathy (CNM), a subtype of congenital myopathy (CM), is a group of clinical and genetically heterogeneous muscle disorders. Centronuclear myopathy is a kind of disease difficult to diagnose due to its genetic diversity. Since the discovery of the SPEG gene and disease-causing variants, only a few additional patients have been reported.

Role of serum vitamin A and E in pregnancy.

Serum levels of vitamin A and E in early, middle and late pregnancy were analyzed to evaluate vitamin nutritional status in pregnancy, and provide guidance for pregnant women about vitamin supplements in pregnancy. In total, 28,023 serum samples were randomly selected from pregnant women in early, middle and late pregnancy between January 2013 and June 2014 in Beijing. High performance liquid chromatography (HPLC) method was used to determine the concentration of serum vitamin A and E in pregnancy.

Arterial Pulse Waveform Characteristics Difference between the Three Trimesters of Healthy Pregnant Women.

During pregnancy, the pregnant mother undergoes significant physiological changes in order to accommodate the developing fetus. In recent years, arterial pulse wave has been widely used to reflect these physiological changes. The aim of this study was to investigate the changes of radial pulse and photoplethysmography (PPG) pulse waveform characteristic with gestational age in normal pregnant women.

Gaussian Modelling Characteristics of Peripheral Arterial Pulse: Difference between Measurements from the Three Trimesters of Healthy Pregnancy.

Arterial pulse wave analysis has been attempted to monitor the maternal physiological changes of circulatory system during pregnancy. This study aimed to quantify the difference of Gaussian modelling characteristics derived from radial pulses measured from the three trimesters of healthy pregnant women. Radial pulses were recorded from seventy pregnant women between gestational week 11-13, week 20-22, and then week 37-39.

Changes of Arterial Pulse Waveform Characteristics with Gestational Age during Normal Pregnancy.

Arterial pulse waveform analysis has been widely used to reflect physiological changes in the cardiovascular system. This study aimed to comprehensively investigate the changes of waveform characteristics of both photoplethysmographic (PPG) and radial pulses with gestational age during normal pregnancy. PPG and radial pulses were simultaneously recorded from 130 healthy pregnant women at seven gestational time points.

Effect of recombinant human endostatin on endometriosis in mice.

Background: Direct and indirect evidences have suggested that angiogenesis is a prerequisite for the development of endometriosis. Aiming at offering experimental evidences for anti-angiogenesis therapy, we transplanted the eutopic endometrium from patient with endometriosis into the severe combined immunodeficiency disease (SCID) mice, to evaluate the effect of the endostatin on the growth and angiogenesis of the established endometriosis lesions in SCID mice model.

Methods: Eutopic endometrium of women with endometriosis was transplanted into the SCID mice.