Risk factor analysis for adverse prognosis of the fetal ventricular septal defect (VSD).

BACKGROUND: Ventricular septal defect (VSD) is the most common subtype of congenital heart disease. In the present study, we aimed to determine whether chromosome aberration was associated with the occurrence of VSD and evaluate the association of VSD size, location and chromosome aberration with adverse outcomes in the Chinese fetuses. METHODS: Fetuses with VSD and comprehensive follow-up data were included and evaluated retrospectively. Medical records were used to collect epidemiological data and foetal outcomes. For VSD fetuses, conventional karyotype and microarray analysis were conducted. After adjusting confounding factors by using multivariable logistic regression analyses, the association between chromosome variations and VSD occurrence was explored. The association between defect size, location and chromosome aberrations and adverse foetal outcomes was also investigated. RESULTS: Chromosome aberration was the risk factor for VSD occurrence, raising 6.5-fold chance of developing VSD. Chromosome aberration, peri-membranous site and large defect size of VSD were significant risk factors of adverse fetal outcome. Chromosome aberrations, including pathogenic copy number variations (CNVs) and variations of uncertain significance (VUS), were both risk factors, increasing the risk of the adverse fetal outcome by 55.9 times and 6.7 times, respectively. The peri-membranous site would increase 5.3-fold risk and defects larger than 5 mm would increase the 7.1-fold risk for poor fetal outcome. CONCLUSIONS: The current investigation revealed that chromosomal abnormalities, large defects, and the peri-membranous site were all risk factors for poor fetal outcomes. Our study also indicated that chromosome aberration was one of risk factors for the VSD occurrence.

Research status on maternal pesticide exposure and offspring's risk of congenital heart disease / 中华围产医学杂志

We are interpreting the effects of maternal pesticide exposure during pregnancy on the heart development of offspring. Based on literature review till October 2018, 43 studies were included and three types of pesticide exposure (pesticides, herbicides and fungicides) were focused on. Our result show that maternal pesticide exposure during pregnancy could lead to an increased risk of congenital cardiovascular abnormalities in offsprings. Moreover, it is found that different types of pesticide exposure are associated with different subtypes of congenital heart disease. Generally and relatively, the evidence is consistent and strong for the following relationships: the associations of insecticide exposure with atrial septal defect, pulmonary valve stenosis and ventricular septal defects; the associations of herbicide exposure with transposition of the great arteries and ventricular septal defects; and the associations of bactericide exposure with hypoplastric left heart syndrome and aortic coarctation.

Networked Predictive Control for Nonlinear Systems With Arbitrary Region Quantizers.

In this paper, networked predictive control is investigated for planar nonlinear systems with quantization by an extended state observer (ESO). The ESO is used not only to deal with nonlinear terms but also to generate predictive states for dealing with network-induced delays. Two arbitrary region quantizers are applied to take effective values of signals in forward channel and feedback channel, respectively. Based on a "zoom" strategy, sufficient conditions are given to guarantee stabilization of the closed-loop networked control system with quantization. A simulation example is proposed to exhibit advantages and availability of the results.

Fault Detection for T-S Fuzzy Discrete Systems in Finite-Frequency Domain.

This paper investigates the problem of fault detection for Takagi-Sugeno (T-S) fuzzy discrete systems in finite-frequency domain. By means of the T-S fuzzy model, both a fuzzy fault detection filter system and the dynamics of filtering error generator are constructed. Two finite-frequency performance indices are introduced to measure fault sensitivity and disturbance robustness. Faults are considered in a middle frequency domain, while disturbances are considered in another certain finite-frequency domain interval. By using the generalized Kalman-Yakubovic-Popov Lemma in a local linear system model, the design methods are presented in terms of solutions to a set of linear matrix inequalities, which can be readily solved via standard numerical software. The design problem is formulated as a two-objective optimization algorithm. A numerical example is given to illustrate the effectiveness and potential of the developed techniques.