Literature DB >> 34264137

Delayed diagnosis of critical congenital heart defects predicting risk factors and survival rate in newborns in Beijing: a retrospective study.

Wen Zhang1, Hong-Yan Xu1, Yan-Chun Zhang1, Kai-Bo Liu1.   

Abstract

OBJECTIVE: To assess the prevalence and survival rate of newborns with a delayed diagnosis of critical congenital heart defects (CCHD) in Beijing.
METHODS: This retrospective study analysed data from births between 2010 and 2017 from the Birth Defects Monitoring Network in Beijing. Newborns with CCHD were analysed according to seven categories. Statistical analyses were used to calculate the mortality rate within the first week (days 0-6) after live birth. Multivariate logistic regression analysis of survival was performed to analyse the potential risk factors for newborn mortality.
RESULTS: A total of 1 773 935 perinatal newborns were screened in Beijing and 1851 newborns were diagnosed with CCHD, showing a prevalence of 10.43 per 10 000. Among the total 1851 CCHD patients, the majority (1692 of 1851; 91.41%) were identified through prenatal diagnosis, 104 of 1851 (5.62%) were diagnosed before obstetric discharge/transfer and 55 of 1851 (2.97%) were identified through delayed diagnosis. The prevalence of CCHD in newborns was 1.96 per 10 000 births. Multivariate logistic regression analysis of survival demonstrated that gestational age at delivery was the only risk factor for death within the first week after birth.
CONCLUSIONS: Within the first week after birth, gestational age was the only risk factor for death in newborns with CCHD.

Entities:  

Keywords:  Critical congenital heart defects; delayed diagnosis; neonatal mortality

Year:  2021        PMID: 34264137     DOI: 10.1177/03000605211028028

Source DB:  PubMed          Journal:  J Int Med Res        ISSN: 0300-0605            Impact factor:   1.671


  2 in total

1.  Prognosis of Congenital Anomalies in Conceptions Following In Vitro Fertilization: A Multicenter Retrospective Cohort Study in China.

Authors:  Jie Bao; Lixue Chen; Yongxiu Hao; Hongping Wu; Xiaojin He; Chuncheng Lu; Xinhua Ji; Jie Qiao; Yuanyuan Wang; Hongbin Chi
Journal:  Front Endocrinol (Lausanne)       Date:  2022-07-14       Impact factor: 6.055

2.  Prediction of congenital heart disease for newborns: comparative analysis of Holt-Winters exponential smoothing and autoregressive integrated moving average models.

Authors:  Weize Xu; Zehua Shao; Hongliang Lou; Jianchuan Qi; Jihua Zhu; Die Li; Qiang Shu
Journal:  BMC Med Res Methodol       Date:  2022-10-01       Impact factor: 4.612

  2 in total

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