Project description:The 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.We 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.This 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).There 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.
Project description:BackgroundAlthough mass vaccination against COVID-19 may prove to be the most efficacious end to this deadly pandemic, there remain concern and indecision among the public toward vaccination. Because pregnant and reproductive-aged women account for a large proportion of the population with particular concerns regarding vaccination against COVID-19, this survey aimed at investigating their current attitudes and beliefs within our own institution.ObjectiveThis study aimed to understand vaccine acceptability among pregnant, nonpregnant, and breastfeeding respondents and elucidate factors associated with COVID-19 vaccine acceptance.Study designWe administered an anonymous online survey to all women (including patients, providers, and staff) at our institution assessing rates of acceptance of COVID-19 vaccination. Respondents were contacted in 1 of 3 ways: by email, advertisement flyers, and distribution of quick response codes at virtual town halls regarding the COVID-19 vaccine. Based on their responses, respondents were divided into 3 mutually exclusive groups: (1) nonpregnant respondents, (2) pregnant respondents, and (3) breastfeeding respondents. The primary outcome was acceptance of vaccination. Prevalence ratios were calculated to ascertain the independent effects of multiple patient-level factors on vaccine acceptability.ResultsThe survey was administered from January 7, 2021, to January 29, 2021, with 1012 respondents of whom 466 (46.9%) identified as non-Hispanic White, 108 (10.9%) as non-Hispanic Black, 286 (28.8%) as Hispanic, and 82 (8.2%) as non-Hispanic Asian. The median age was 36 years (interquartile range, 25-47 years). Of all the respondents, 656 respondents (64.8%) were nonpregnant, 216 (21.3%) were pregnant, and 122 (12.1%) were breastfeeding. There was no difference in chronic comorbidities when evaluated as a composite variable (Table 1). A total of 390 respondents (39.2%) reported working in healthcare. Nonpregnant respondents were most likely to accept vaccination (457 respondents, 76.2%; P<.001) with breastfeeding respondents the second most likely (55.2%). Pregnant respondents had the lowest rate of vaccine acceptance (44.3%; P<.001). Prevalence ratios revealed all non-White races except for non-Hispanic Asian respondents, and Spanish-speaking respondents were less likely to accept vaccination (Table 3). Working in healthcare was not found to be associated with vaccine acceptance among our cohort.ConclusionIn this survey study of only women at a single institution, pregnant respondents of non-White or non-Asian races were more likely to decline vaccination than nonpregnant and breastfeeding respondents. Working in healthcare was not associated with vaccine acceptance.
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.
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.
Project description:Investigators are employing unprecedented innovation in the design of clinical trials to rapidly and rigorously assess potentially promising therapies for coronavirus disease 2019 (COVID-19); this is in stark contrast to the continued near-universal regressive practice of exclusion of pregnant and breastfeeding women from these trials. The few trials that allow their inclusion focus on postexposure prophylaxis or outpatient treatment of milder disease, limiting the options available to pregnant women with severe COVID-19 to compassionate use of remdesivir, or off-label drug use of hydroxychloroquine or other therapies. These restrictions were put in place despite experience with these drugs in pregnant women. In this Viewpoint, we call attention to the need and urgency to engage pregnant women in COVID-19 treatment trials now in order to develop data-driven recommendations regarding the risks and benefits of therapies in this unique but not uncommon population.
Project description:The high Romanian Cesarean delivery rates have led to an increase in a women's desire to achieve vaginal birth after Cesarean delivery (VBAC), but certain impediments make this process difficult. We retrospectively evaluated the VBAC cases in a tertiary maternity hospital from Romania, and assessed the Romanian women's opinion about VBAC using a questionnaire that was distributed to three specific Facebook groups. We evaluated 63 patients who achieved VBAC between January 2014 and August 2020. In addition, an online survey with 41 open and closed questions assessed the participants' opinion regarding VBAC in Romania. The results are summarized and discussed. The results revealed that VBAC rates were under 1%. The main observed complications that followed VBAC were postpartum hemorrhage (15.8%), and uterine atony (7.93%), while the most frequent types of lesions encountered after VBAC were cervical tear (12.6%), followed by labial fissure (9.5%) and vaginal tear (7.9%). The patient's confidence in the health care system is low, and many women decide to try TOLAC at home. In conclusion, VBAC is an important topic in the context of high Romanian Cesarean rates, and the decision factors must provide consistent strategies that promote this mode of delivery.