scholarly journals Trend analysis of mortality rates and causes of death in children under 5 years old in Beijing, China from 1992 to 2015 and forecast of mortality into the future: an entire population-based epidemiological study

BMJ Open ◽  
2017 ◽  
Vol 7 (9) ◽  
pp. e015941 ◽  
Author(s):  
Han Cao ◽  
Jing Wang ◽  
Yichen Li ◽  
Dongyang Li ◽  
Jin Guo ◽  
...  
Keyword(s):  
Congenital Heart Disease ◽  
Heart Disease ◽  
Birth Weight ◽  
Congenital Heart ◽  
Causes Of Death ◽  
Congenital Abnormalities ◽  
Birth Asphyxia ◽  
Mortality Rates ◽  
Population Based ◽  
Beijing China

ObjectivesTo analyse trends in mortality and causes of death among children aged under 5 years in Beijing, China between 1992 and 2015 and to forecast under-5 mortality rates (U5MRs) for the period 2016–2020.MethodsAn entire population-based epidemiological study was conducted. Data collection was based on the Child Death Reporting Card of the Beijing Under-5 Mortality Rate Surveillance Network. Trends in mortality and leading causes of death were analysed using the χ2test and SPSS 19.0 software. An autoregressive integrated moving average (ARIMA) model was fitted to forecast U5MRs between 2016 and 2020 using the EViews 8.0 software.ResultsMortality in neonates, infants and children aged under 5 years decreased by 84.06%, 80.04% and 80.17% from 1992 to 2015, respectively. However, the U5MR increased by 7.20% from 2013 to 2015. Birth asphyxia, congenital heart disease, preterm/low birth weight and other congenital abnormalities comprised the top five causes of death. The greatest, most rapid reduction was that of pneumonia by 92.26%, with an annual average rate of reduction of 10.53%. The distribution of causes of death differed among children of different ages. Accidental asphyxia and sepsis were among the top five causes of death in children aged 28 days to 1 year and accident was among the top five causes in children aged 1–4 years. The U5MRs in Beijing are projected to be 2.88‰, 2.87‰, 2.90‰, 2.97‰ and 3.09‰ for the period 2016–2020, based on the predictive model.ConclusionBeijing has made considerable progress in reducing U5MRs from 1992 to 2015. However, U5MRs could show a slight upward trend from 2016 to 2020. Future considerations for child healthcare include the management of birth asphyxia, congenital heart disease, preterm/low birth weight and other congenital abnormalities. Specific preventative measures should be implemented for children of various age groups.

scholarly journals Neighbourhood maternal socioeconomic status indicators and risk of congenital heart disease

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Qun Miao ◽  
Sandra Dunn ◽  
Shi Wu Wen ◽  
Jane Lougheed ◽  
Jessica Reszel ◽  
...  
Keyword(s):  
Socioeconomic Status ◽  
Congenital Heart Disease ◽  
Heart Disease ◽  
Household Income ◽  
Congenital Heart ◽  
Population Based ◽  
Income Poverty ◽  
Lower Odds ◽  
Logistic Regression Models ◽  
Chd Risk

Abstract Background This study aimed to examine the relationships between various maternal socioeconomic status (SES) indicators and the risk of congenital heart disease (CHD). Methods This was a population-based retrospective cohort study, including all singleton stillbirths and live births in Ontario hospitals from April 1, 2012 to March 31, 2018. Multivariable logistic regression models were performed to examine the relationships between maternal neighbourhood household income, poverty, education level, employment and unemployment status, immigration and minority status, and population density and the risk of CHD. All SES variables were estimated at a dissemination area level and categorized into quintiles. Adjustments were made for maternal age at birth, assisted reproductive technology, obesity, pre-existing maternal health conditions, substance use during pregnancy, rural or urban residence, and infant’s sex. Results Of 804,292 singletons, 9731 (1.21%) infants with CHD were identified. Compared to infants whose mothers lived in the highest income neighbourhoods, infants whose mothers lived in the lowest income neighbourhoods had higher likelihood of developing CHD (adjusted OR: 1.29, 95% CI: 1.20–1.38). Compared to infants whose mothers lived in the neighbourhoods with the highest percentage of people with a university or higher degree, infants whose mothers lived in the neighbourhoods with the lowest percentage of people with university or higher degree had higher chance of CHD (adjusted OR: 1.34, 95% CI: 1.24–1.44). Compared to infants whose mothers lived in the neighbourhoods with the highest employment rate, the odds of infants whose mothers resided in areas with the lowest employment having CHD was 18% higher (adjusted OR: 1.18, 95% CI: 1.10–1.26). Compared to infants whose mothers lived in the neighbourhoods with the lowest proportion of immigrants or minorities, infants whose mothers resided in areas with the highest proportions of immigrants or minorities had 18% lower odds (adjusted OR: 0.82, 95% CI: 0.77–0.88) and 16% lower odds (adjusted OR: 0.84, 95% CI: 0.78–0.91) of CHD, respectively. Conclusion Lower maternal neighbourhood household income, poverty, lower educational level and unemployment status had positive associations with CHD, highlighting a significant social inequity in Ontario. The findings of lower CHD risk in immigrant and minority neighbourhoods require further investigation.

OP29 The prevalence of congenital heart disease in the UK: a population-based register study

2014 ◽  
Vol 68 (Suppl 1) ◽  
pp. A17.1-A17
Author(s):  
KE Best ◽  
E Draper ◽  
J Kurinczuk ◽  
S Stoianova ◽  
D Tucker ◽  
...  
Keyword(s):  
Congenital Heart Disease ◽  
Heart Disease ◽  
Congenital Heart ◽  
Population Based ◽  
Register Study ◽  
The Uk

Abstract 2139: Pregnancy-related Hospitalizations Among Women With Congenital Heart Disease In California: A Population-based Analysis

Circulation ◽  
2007 ◽  
Vol 116 (suppl_16) ◽  
Author(s):  
Michelle Gurvitz ◽  
Karen K Stout ◽  
Mary Canobbio ◽  
Andrea Richardson ◽  
Ruey Kang Chang
Keyword(s):  
Congenital Heart Disease ◽  
Heart Disease ◽  
Congenital Heart ◽  
Post Partum ◽  
Mode Of Delivery ◽  
Population Based ◽  
Specialty Care ◽  
Hemodynamic Changes ◽  
Discharge Data ◽  
California Hospital

Objective: To evaluate pregnancy-related hospitalizations of women with congenital heart disease (CHD) in California Background: It is recommended that women with complex CHD receive specialty care during pregnancy. There is a perception that these women require cesarean section (CS) for cardiac reasons, but hemodynamic changes are often less with a vaginal delivery. There are no population based studies evaluating pregnancy in CHD. Methods: California hospital discharge data from the years 2000–2003 were analyzed. Subjects were chosen by age (12–44 years), diagnosis code for CHD and diagnosis or procedure code related to pregnancy. Among the hospitals, there were 7 self-identified specialized adult CHD centers. Descriptive statistics were used to characterize the population by age, CHD diagnosis (complex or non-complex), insurance, hospital (adult CHD center or not), and outcome (delivery, ante-partum, post-partum condition). Multivariate regression was used to determine predictors for CS. Results: There were 1032 hospitalizations among women age 14–44 years (mean 27.7 years). Hospitalizations occurred at 210 different hospitals, with only 14% at the 7 adult CHD centers. CHD diagnoses were complex in 52% and non-complex in 48%. Among the hospitalization outcomes, 77% were deliveries (66% vaginal, 34% CS), 2% abortive and 21% ante or post partum conditions. CS rates were not statistically different between CHD centers (32%) and non-centers (34%) but were higher than the general population (21%). Women with complex CHD were more likely to have a CS (p=0.005) or an abortive outcome (p<0.001) than those with non-complex CHD. Women with complex CHD were less likely to have a CS at an adult CHD center than those women delivered at non-CHD centers (p=0.005). In regression analyses, complex CHD was the only variable associated with CS. Conclusion: Most data on pregnancy in CHD are from single center studies, however, the majority of women with CHD delivered at non-CHD centers. Overall pregnancy outcomes did not appear different by hospital type, but the rates of CS in women with complex CHD suggests specialty care may affect mode of delivery. Understanding of the outcomes of pregnancy in women with CHD would be enhanced by detailed population-based studies.

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