Evidence map›Paper›PMID 38829691›Full record

ArticleJMIR public health and surveillance2024

Trend of Mortality Due to Congenital Anomalies in Children Younger Than 5 Years in Eastern China, 2012-2021: Surveillance Data Analysis.

Wen-Hong Dong, Jun-Xia Guo, Lei Wang, Shuang-Shuang Zheng, Bing-Quan Zhu, Jie Shao

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Article in JMIR public health and surveillance, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

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5citing papers in PubMed
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3 · Its place in the literature

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5 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Wen-Hong DongDepartment of Child Health Care, Children's Hospital, Zhejiang University School of Medicine, Hangzhou, China.ORCID 0000-0002-8869-6502
Jun-Xia GuoDepartment of Child Health Care, Children's Hospital, Zhejiang University School of Medicine, Hangzhou, China.ORCID 0009-0005-0569-2522
Lei WangDepartment of Child Health Care, Children's Hospital, Zhejiang University School of Medicine, Hangzhou, China.ORCID 0000-0002-0853-5945
Shuang-Shuang ZhengDepartment of Child Health Care, Children's Hospital, Zhejiang University School of Medicine, Hangzhou, China.ORCID 0009-0003-6673-1594
Bing-Quan ZhuDepartment of Child Health Care, Children's Hospital, Zhejiang University School of Medicine, Hangzhou, China.ORCID 0000-0002-6447-2184
Jie ShaoDepartment of Child Health Care, Children's Hospital, Zhejiang University School of Medicine, Hangzhou, China.ORCID 0009-0004-0097-7126

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAs one of the leading causes of child mortality, deaths due to congenital anomalies (CAs) have been a prominent obstacle to meet Sustainable Development Goal 3.2.

objectiveWe conducted this study to understand the death burden and trend of under-5 CA mortality (CAMR) in Zhejiang, one of the provinces with the best medical services and public health foundations in Eastern China.

methodsWe used data retrieved from the under-5 mortality surveillance system in Zhejiang from 2012 to 2021. CAMR by sex, residence, and age group for each year was calculated and standardized according to 2020 National Population Census sex- and residence-specific live birth data in China. Poisson regression models were used to estimate the annual average change rate (AACR) of CAMR and to obtain the rate ratio between subgroups after adjusting for sex, residence, and age group when appropriate.

resultsFrom 2012 to 2021, a total of 1753 children died from CAs, and the standardized CAMR declined from 121.2 to 62.6 per 100,000 live births with an AACR of -9% (95% CI -10.7% to -7.2%; P<.001). The declining trend was also observed in female and male children, urban and rural children, and neonates and older infants, and the AACRs were -9.7%, -8.5%, -8.5%, -9.2%, -12%, and -6.3%, respectively (all P<.001). However, no significant reduction was observed in children aged 1-4 years (P=.22). Generally, the CAMR rate ratios for male versus female children, rural versus urban children, older infants versus neonates, and older children versus neonates were 1.18 (95% CI 1.08-1.30; P<.001), 1.20 (95% CI 1.08-1.32; P=.001), 0.66 (95% CI 0.59-0.73; P<.001), and 0.20 (95% CI 0.17-0.24; P<.001), respectively. Among all broad CA groups, circulatory system malformations, mainly deaths caused by congenital heart diseases, accounted for 49.4% (866/1753) of deaths and ranked first across all years, although it declined yearly with an AACR of -9.8% (P<.001). Deaths due to chromosomal abnormalities tended to grow in recent years, although the AACR was not significant (P=.90).

conclusionsCAMR reduced annually, with cardiovascular malformations ranking first across all years in Zhejiang, China. Future research and practices should focus more on the prevention, early detection, long-term management of CAs and comprehensive support for families with children with CAs to improve their survival chances.

Indexed as

Child MortalityCongenital AbnormalitiesChild, PreschoolChinaData AnalysisFemaleHumansInfantInfant, NewbornMalePopulation Surveillancecongenital anomaliesdeath causemortalityrankunder-five years

Identifiers

PMID38829691
PMCPMC11184267

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