Search citation statements
Paper Sections
Citation Types
Year Published
Publication Types
Relationship
Authors
Journals
ObjectiveMaternal obesity is a highly suggestive risk factor of offspring congenital heart diseases (CHD). However, the risk of offspring CHD associated with maternal underweight has rarely been mentioned. Therefore, this study aimed to explore the effect of preconception underweight on offspring CHD.MethodsFrom November 2017 to August 2021, 132 386 pregnant women were enrolled in a birth cohort study in China in early pregnancy, and completed follow‐up until delivery (or miscarriage/termination). Offspring CHD was diagnosed by prenatal ultrasound examination in both live births and stillbirths. Log‐binomial regression and restricted cubic spline were used to estimate the risk of offspring CHD associated with preconception body mass index (BMI). A generalized additive model was used to explore the modification effect of maternal age on the association between preconception BMI and offspring CHD.ResultsA total of 129 096 pregnant women were included in the analysis. The incidence of CHD in the underweight, normal weight, overweight, and obesity groups were 117/17 313 (0.68%), 556/85 695 (0.65%), 128/19 936 (0.64%), 47/6152 (0.76%), respectively. Both underweight and obesity before pregnancy marginally increased the risk of offspring CHD. The association between preconception BMI and offspring CHD varied by maternal age, with low preconception BMI associated with a significantly higher risk of offspring CHD in women <24 years (RR 2.32, 95% CI: 1.07–5.01 for 17 vs 21 kg/m2).ConclusionPreconception underweight was associated with an increased risk of offspring CHD in young pregnant women. Therefore, weight gain is important to prevent offspring CHD, especially for young women with low preconception BMI.
ObjectiveMaternal obesity is a highly suggestive risk factor of offspring congenital heart diseases (CHD). However, the risk of offspring CHD associated with maternal underweight has rarely been mentioned. Therefore, this study aimed to explore the effect of preconception underweight on offspring CHD.MethodsFrom November 2017 to August 2021, 132 386 pregnant women were enrolled in a birth cohort study in China in early pregnancy, and completed follow‐up until delivery (or miscarriage/termination). Offspring CHD was diagnosed by prenatal ultrasound examination in both live births and stillbirths. Log‐binomial regression and restricted cubic spline were used to estimate the risk of offspring CHD associated with preconception body mass index (BMI). A generalized additive model was used to explore the modification effect of maternal age on the association between preconception BMI and offspring CHD.ResultsA total of 129 096 pregnant women were included in the analysis. The incidence of CHD in the underweight, normal weight, overweight, and obesity groups were 117/17 313 (0.68%), 556/85 695 (0.65%), 128/19 936 (0.64%), 47/6152 (0.76%), respectively. Both underweight and obesity before pregnancy marginally increased the risk of offspring CHD. The association between preconception BMI and offspring CHD varied by maternal age, with low preconception BMI associated with a significantly higher risk of offspring CHD in women <24 years (RR 2.32, 95% CI: 1.07–5.01 for 17 vs 21 kg/m2).ConclusionPreconception underweight was associated with an increased risk of offspring CHD in young pregnant women. Therefore, weight gain is important to prevent offspring CHD, especially for young women with low preconception BMI.
Preterm birth, the leading cause of perinatal morbidity and mortality, is associated with increased risk of short- and long-term adverse outcomes. For women identified as at risk for preterm birth attributable to a sonographic short cervix, the determination of imminent delivery is crucial for patient management. The current study aimed to identify amniotic fluid (AF) proteins that could predict imminent delivery in asymptomatic patients with a short cervix. This retrospective cohort study included women enrolled between May 2002 and September 2015 who were diagnosed with a sonographic short cervix (< 25 mm) at 16–32 weeks of gestation. Amniocenteses were performed to exclude intra-amniotic infection; none of the women included had clinical signs of infection or labor at the time of amniocentesis. An aptamer-based multiplex platform was used to profile 1310 AF proteins, and the differential protein abundance between women who delivered within two weeks from amniocentesis, and those who did not, was determined. The analysis included adjustment for quantitative cervical length and control of the false-positive rate at 10%. The area under the receiver operating characteristic curve was calculated to determine whether protein abundance in combination with cervical length improved the prediction of imminent preterm delivery as compared to cervical length alone. Of the 1,310 proteins profiled in AF, 17 were differentially abundant in women destined to deliver within two weeks of amniocentesis independently of the cervical length (adjusted p-value < 0.10). The decreased abundance of SNAP25 and the increased abundance of GPI, PTPN11, OLR1, ENO1, GAPDH, CHI3L1, RETN, CSF3, LCN2, CXCL1, CXCL8, PGLYRP1, LDHB, IL6, MMP8, and PRTN3 were associated with an increased risk of imminent delivery (odds ratio > 1.5 for each). The sensitivity at a 10% false-positive rate for the prediction of imminent delivery by a quantitative cervical length alone was 38%, yet it increased to 79% when combined with the abundance of four AF proteins (CXCL8, SNAP25, PTPN11, and MMP8). Neutrophil-mediated immunity, neutrophil activation, granulocyte activation, myeloid leukocyte activation, and myeloid leukocyte-mediated immunity were biological processes impacted by protein dysregulation in women destined to deliver within two weeks of diagnosis. The combination of AF protein abundance and quantitative cervical length improves prediction of the timing of delivery compared to cervical length alone, among women with a sonographic short cervix.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2025 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.