Trends and influencing factors of perinatal birth defects in Huai'an from 2008 to 2020

Evaluating the potential role of determinants of health on encephalocele patient outcomes - a combined retrospective study and systematic review

INTRODUCTION

To evaluate the outcomes and demographics of encephalocele patients who were born and received treatment in our neonatal ICU and conduct a PRISMA literature review.

METHODS

An Institutional Review Board (IRB)-approved retrospective cohort study was undertaken to investigate the results of treating encephalocele patients at Jackson Memorial Hospital (JMH) from 1998 to 2022. The study focused on assessing outcomes and the impact of maternal socioeconomic factors, such as religion, age, and education, along with the timing of diagnosis, in connection with a systematic review.

RESULTS

A total of 20 encephalocele patients were identified (13 females and 7 males), with 15 having available medical records for review. Most of these cases involved occipital encephaloceles (73.3%). Maternal ages at the time of delivery ranged from 15 to 42 years, with a mean age of 27.3 years. The average gestational age at birth was 37 weeks. Ten cases had a prenatal diagnosis documented, occurring between 12 and 24.5 weeks of gestation. Three of the surviving patients had records of prenatal counseling that included discussions about termination. No infections were reported. Among the 15 cases, 11 patients (73.3%) were alive at the last follow-up, with a mean age at follow-up of 4.12 years, ranging from 6 weeks to 15 years post-birth. Hydrocephalus was noted in 26.7%. Only 1 mother had completed high school. Most mothers were either on Medicaid (9 patients) or uninsured (3 patients), with only 3 having commercial insurance. Religious affiliations varied among the mothers, with 14 out of 15 identifying with a particular religion. The systematic review identified 22 articles from various countries, with 11 articles meeting the inclusion criteria for qualitative analysis. These articles revealed potential maternal risk factors for encephaloceles, including low-nutrient diets, inadequate folic acid intake, young maternal age, advanced maternal age, low socioeconomic status, and limited educational attainment.

CONCLUSIONS

In the twenty-first century, there is a positive trend in the survival rates of children born with encephalocele. However, maternal factors such as low socioeconomic status and limited educational attainment remain prominent, affecting their ability to access timely prenatal care and impacting follow-up medical care for these children.

Independent factors associated with birth defects during the whole of pregnancy in Shenyang City, China: a case-control study

Background

Birth defects, as a kind of diseases that seriously affect human life, have always attracted much attention. In the past, perinatal data have been studied for birth defects. This study analyzed the surveillance data of birth defects during the perinatal period and the whole of pregnancy, as well as the independent influencing factors, to help to minimize their risk of birth defects.

Methods

A total of 23,649 fetuses delivered in the hospital from January 2017 to December 2020, were enrolled in this study. There were 485 cases of birth defects, including live births and stillbirths by detailed inclusion and exclusion criteria. Maternal and neonatal clinical data were collated to analyze the influencing factors associated with birth defects. Pregnancy complications and comorbidities were diagnosed according to the criteria of the Chinese Medical Association. Univariate and multivariate logistic regression models were used to investigate the association between independent variables and birth defect events.

Results

The incidence of birth defects during the whole of pregnancy was 175.46/10,000, while the incidence of perinatal birth defects was 96.22/10,000. The birth defect group had significantly higher maternal age, gravidity, parity, rate of preterm birth, cesarean section (CS) rate, scarred uterus, stillborn, and male newborns compared to the control group. Multivariate logistic regression model analysis showed that preterm birth [odds ratio (OR): 1.69, 95% confidence interval (CI): 1.01 to 2.86], CS (OR: 1.46, 95% CI: 1.08 to 1.98), scarred uterus (OR: 1.70, 95% CI: 1.01 to 2.85), and low birth weight (OR >4 compared to the other two classes) were significantly associated with birth defects during the whole of pregnancy (all P<0.05). The independent influencing factors associated with perinatal birth defects included CS (OR: 1.43, 95% CI: 1.05 to 1.93), gestational hypertension (OR: 1.70, 95%: 1.04 to 2.78), and low birth weight (OR >3.70 compared to the other two classes).

Conclusions

The discovery and monitoring of known influencing factors associated with birth defects, such as, preterm birth, gestational hypertension, low birth weight, should be enhanced. For the controllable influencing factors, obstetrics providers should work with patients to minimize their risk of birth defects.

Logistics Optimization Strategy Based on Deep Neural Framework

We propose a logistics optimization method based on improved graph convolutional networks to address the current problem of low product delivery rate and untimely product delivery during the peak period of e-commerce activities. Our method can learn excellent planning strategies from previous data and can give the best logistics strategy in time during the peak logistics period, which improves the product delivery rate and delivery time of logistics and greatly enhances the return on investment. First, we add a tensor rotation module to the graph convolution layer to better capture the global features of logistics nodes. Then we add inception structures in the temporal convolution layer to build multiscale temporal convolution filters to obtain temporal information of logistics nodes in different time-aware domains and reduce arithmetic power. Finally, we cooperate with e-commerce platforms to adopt logistics data as the experimental database. The experimental results show that our method greatly accelerates the logistics planning speed, improves the product delivery rate, ensures the timely delivery of products, and increases the return on investment.