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Association between congenital heart disease and maternal disease in early pregnancy in women of childbearing age / 中华流行病学杂志
Chinese Journal of Epidemiology ; (12): 1130-1133, 2019.
Article in Chinese | WPRIM | ID: wpr-797782
ABSTRACT
Objective@#To investigate the relationship between maternal disease in early pregnancy of women of childbearing age and congenital heart disease of neonates.@*Methods@#A cross-sectional design was used in this study and stratified multistage random sampling method was used. A questionnaire survey was conducted in the childbearing-aged women during 2010-2013 in Shaanxi province. Propensity score (PS) matched (1∶1) analysis was used to match participants with diseases to those without disease in early pregnancy. Through the control of the confounders step by step, a logistic regression model was established to evaluate the ORs of congenital heart disease according to the independent variable of maternal disease.@*Results@#A total of 28 680 pairs of mothers and infants were included in this study, the proportion of the women with disease in early pregnancy was 20.25% (5 807). After PS matching, 5 436 pairs were matched. After adjusting all confounding factors, the multivariable logistic regression analysis results showed that maternal disease (OR=1.86, 95%CI 1.23-2.81), especially cold (OR=2.19, 95%CI 1.46-3.28), gynecological disease (OR=4.74, 95%CI 2.03-11.09) and diabetes (OR=14.00, 95%CI 1.64-119.21), in early pregnancy were the risk factors for congenital heart disease of neonate.@*Conclusion@#In women of childbearing age, disease in early pregnancy, especially cold, gynecological disease and diabetes, can increase the risk of congenital heart disease in neonates.

Full text: Available Index: WPRIM (Western Pacific) Type of study: Prognostic study / Risk factors Language: Chinese Journal: Chinese Journal of Epidemiology Year: 2019 Type: Article

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Full text: Available Index: WPRIM (Western Pacific) Type of study: Prognostic study / Risk factors Language: Chinese Journal: Chinese Journal of Epidemiology Year: 2019 Type: Article