COVID-19 among pregnant Chinese women: case series data on the safety of vaginal birth and breastfeeding.
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ABSTRACT:
SUBMITTER: Cai J
PROVIDER: S-EPMC8209919 | biostudies-literature | 2021 Sep
REPOSITORIES: biostudies-literature
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COVID-19 among pregnant Chinese women: case series data on the safety of vaginal birth and breastfeeding.
Cai Jianghui J Tang Mi M Li Gen G
BJOG : an international journal of obstetrics and gynaecology 20210531 10
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Project description:ObjectiveTo assess whether vaginal secretions and breast milk of women with coronavirus disease 2019 (COVID-19) contain severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2).DesignSingle centre cohort study.SettingRenmin Hospital of Wuhan University, Wuhan, Hubei province, China.PopulationWe studied 13 SARS-CoV-2-infected pregnant women diagnosed between 31 January and 9 March 2020.MethodsWe collected clinical data, vaginal secretions, stool specimens and breast milk from SARS-CoV-2-infected women during different stages of pregnancy and collected neonatal throat and anal swabs.Main outcomes and measuresWe assessed viral presence in different biosamples.ResultsOf the 13 women with COVID-19, five were in their first trimester, three in their second trimester and five in their third trimester. Of the five women in their third trimester who gave birth, all delivered live newborns. Among these five deliveries, the primary adverse perinatal outcomes included premature delivery (n = 2) and neonatal pneumonia (n = 2). One of nine stool samples was positive; all 13 vaginal secretion samples, and five throat swabs and four anal swabs collected from neonates, were negative for the novel coronavirus. However, one of three samples of breast milk was positive by viral nucleic acid testing.ConclusionsIn this case series of 13 pregnant women with COVID-19, we observed negative viral test results in vaginal secretion specimens, suggesting that a vaginal delivery may be a safe delivery option. However, additional research is urgently needed to examine breast milk and the potential risk for viral contamination.Tweetable abstractNew evidence for the safety of vaginal delivery and breastfeeding in pregnant women infected with SARS-CoV-2, positive viral result in a breast-milk sample.
| S-EPMC7383704 | biostudies-literature
Project description:ObjectiveThe effect of vaginal microbiota on spontaneous preterm birth (sPTB) has not been fully addressed, and few studies have explored the associations between vaginal taxa and sPTB in the gestational diabetes mellitus (GDM) and non-GDM groups, respectively. Study Design. To minimize external interference, a total of 41 pregnant women with sPTB and 308 controls (pregnant women without sPTB) from same regain were enrolled in this case-cohort study. Controls were randomly selected at baseline. With the exception of GDM, other characteristics were not significantly different between the two groups. Vaginal swabs were collected at early second trimester. Using 16S amplicon sequencing, the main bioinformatics analysis was performed on the platform of QIIME 2. Vaginal microbiota traits of the sPTB group were compared with controls. Finally, the effects of binary taxa on sPTB in the GDM group and the non-GDM group were analyzed, respectively.ResultsThe proportion of GDM in the sPTB (19.51%) was higher than the controls (7.47%, P = 0.018). The vaginal microbiota of pregnant women with sPTB exhibited higher alpha diversity metrics (observed features, P = 0.001; Faith's phylogenetic diversity, P = 0.013) and different beta diversity metrics (unweighted UniFrac, P = 0.006; Jaccard's distance, P = 0.004), compared with controls. The presence of Lactobacillus paragasseri/gasseri (aOR: 3.12, 95% CI: 1.24-7.84), Streptococcus (aOR: 3.58, 95% CI: 1.68-7.65), or Proteobacteria (aOR: 3.39, 95% CI: 1.55-7.39) was associated with an increased risk of sPTB in the non-GDM group (P < 0.05). However, the relative abundance of novel L. mulieris (a new species of the L. delbrueckii group) was associated with a decreased risk of sPTB (false discovery rate, 0.10) in all pregnant women.ConclusionGDM may modify the association of vaginal taxa with sPTB, suggesting that maternal GDM should be considered when using vaginal taxa to identify pregnant women at high risk of sPTB.
| S-EPMC9731763 | biostudies-literature
Project description:Parity and gestational age associates with vaginal microbiota composition in term and late term pregnancies
| PRJEB47492 | ENA
Project description:Characteristics of vaginal flora in early pregnant women with different Vitamin D levels
| PRJNA1095372 | ENA
Project description:vaginal microbiome for pregnant women
| PRJNA488871 | ENA
Project description:vaginal microbiota of pregnant women
| PRJEB10913 | ENA
Project description:Pregnant women with mitral stenosis have a high cardiovascular risk, and their outcomes vary greatly. The management of these patients should be individualized and carried out by a multidisciplinary team. This case series presents 3 cases of pregnant women with severe mitral stenosis, describing their progression and therapeutic strategies.
| S-EPMC10715975 | biostudies-literature
Project description:BackgroundThis study was designed to explore the profile and potential influencers of the vaginal microbiome (VMB) among asymptomatic pregnant Chinese women and its possible association with pregnancy outcomes.MethodsA prospective study was conducted among pregnant Chinese women receiving regular prenatal care at a hospital in Shanghai, China from March 2017 to March 2018. Vaginal swabs were obtained from 113 asymptomatic pregnant women in mid-pregnancy and sequenced by the V3-V4 region of 16S rRNA on an Ion S5™ XL platform. Demographic characteristics and major pregnancy outcomes were collected through questionnaires and electronic medical records.ResultsThe predominant vaginal community state types (CSTs) were CST I (45.1%) and CST III (31.9%). Participants were divided into a lactobacilli-dominant group (LD, CST I/II/III/I-III/V, n = 100, 88.5%) and a less lactobacilli-dominant group (LLD, CST IV-A/B, n = 13, 11.5%). Women in the LLD group showed an increased alpha diversity [median (interquartile range, IQR): 2.41 (1.67, 2.49) vs. 0.30 (0.17, 0.59), P < 0.001], which was related to a lower pre-pregnancy body mass index (BMI) (P = 0.012), and a greater instance of passive smoking (P = 0.033). The relative abundance of Lactobacillus was correlated positively with the pre-pregnancy BMI (r = 0.177, P = 0.041), but negatively with passive smoking (r = - 0.204, P = 0.030).ConclusionThe vaginal flora of asymptomatic pregnant Chinese women was mostly dominated by Lactobacillus crispatus and L. iners. A lower BMI and greater instance of passive smoking may contribute to a less lactobacilli-dominant VMB. However, a larger sample size is needed.
| S-EPMC6910115 | biostudies-literature
Project description:ObjectiveThis study aimed to develop a nomogram for the risk assessment of any type of birth defect in offspring using a large birth-defect database in Northwest China.MethodsThis study was based on a birth-defect survey, which included 29,204 eligible women who were pregnant between 2010 and 2013 in the Shaanxi province of Northwest China. The participants from central Shaanxi province were assigned to the training group, while the subjects from the south and north of Shaanxi province were assigned to the external validation group. The primary outcome was the occurrence of any type of birth defect in the offspring. A multivariate logistic regression model was used to establish a prediction nomogram, while the discrimination and calibration were evaluated by external validation.ResultsThe multivariate analyses revealed that household registration, history of miscarriages, family history of birth defects, infection, taking medicine, pesticide exposure, folic acid supplementation, and single/twin pregnancy were significant factors in the occurrence of birth defects. The area under the receiver operating characteristic curve (AUC) in the prediction model was 0.682 (95% CI 0.653 to 0.710) in the training set. The validation set showed moderate discrimination, with an AUC of 0.651 (95% CI 0.614 to 0.689). Additionally, the prediction model had a good calibration (HL χ2 = 8.106, p= 0.323).ConclusionsWe developed a nomogram risk model for any type of birth defect in a Chinese population based on important modifying factors in pregnant women. This risk-prediction model could be a tool for clinicians to assess the risk of birth defects and promote health education.
| S-EPMC9319985 | biostudies-literature
Project description:ObjectiveThe aim of this study was to investigate the prevalence of abnormal vaginal microorganisms in pregnant women according to trimester, and to determine whether the presence of abnormal vaginal colonization is associated with higher risk of miscarriage or preterm delivery. Furthermore, we analyzed delivery outcomes according to individual microorganism species.MethodsWe included pregnant women who underwent vaginal culture during routine prenatal check-up between January 2011 and June 2016. We compared delivery outcomes according to the presence or absence of abnormal vaginal flora grouped by trimester.ResultsThis study included 593 singleton pregnancies. We classified participants into 3 groups, according to the trimester in which vaginal culture was performed; 1st trimester (n=221), 2nd trimester (n=138), and 3rd trimester (n=234). Abnormal vaginal colonization rate significantly decreased with advancing trimester of pregnancy (21.7% for 1st, 21.0% for 2nd, 14.5% for 3rd; P=0.048). Abnormal vaginal colonization detected in the 2nd trimester but not in 1st trimester was associated with a significant increase in preterm delivery before 28 weeks of gestation (6.9% vs. 0%; P=0.006). Among abnormal vaginal flora isolated in the 2nd trimester, the presence of Klebsiella pneumonia was identified as significant microorganism associated with preterm delivery before 28 weeks of gestation (50% vs. 0.7% for K. pneumonia; P=0.029).ConclusionThere is an association between abnormal vaginal colonization detected in the 2nd trimester and preterm delivery before 28 weeks. K. pneumonia has been identified as the likely causative microorganisms.
| S-EPMC5780319 | biostudies-literature