Objective To assess different anticoagulant regimens in pregnant women with mechanical heart valves: taking oral warfarin throughout the pregnancy, or heparin in the 1st trimester and oral warfarin for the other trimesters. The main outcome measures were major maternal complications and perinatal outcomes. Methods The MEDLINE, EMbase, CBM and CNKI were searched. The quality of the included studies was evaluated and data were extracted by two reviewers independently. Meta-analyses were performed on the results of homogeneous studies. Result Seven studies involving 629 pregnancies in 469 patients met the inclusion criteria for this review, all of which were retrospective surveys. The comparison between the administration of heparin in the 1st trimester plus oral warfarin for the other trimesters and warfarin throughout the pregnancy showed that, there are not significant different in the incidence of major maternal complications and the incidence of adverse perinatal outcomes. Conclusion Compared with the administration of warfarin throughout the pregnancy, the administration of heparin in the 1st trimester and oral warfarin for the other trimesters might increase the incidence of major maternal complications, but with a similar incidence of adverse perinatal outcomes.
Objective To explore the maternal and neonatal outcomes of different types of severe preeclampsia premature birth. Methods The pregnant outcomes of 142 patients with severe preeclampsia premature birth (the study group) were compared with 311 patients with spontaneous premature birth (the control group). Singleton pregnancy was divided into three stages by gestational age: very early premature birth (28-31+6 weeks), moderate premature birth (34-36+6 weeks) and mild premature birth (32-33+6 weeks). Multiple-pregnancy was divided into two stages: lt;34 weeks of gestation group and ≥34 weeks of gestation group. Results he rates of antenatal care and the average birth weight of trial group were much lower than those of control group. he rates of cesarean delivery and complications of trial group were much higher than those of control group. he total neonatal mortality and neonatal intensive care unit (NICU) hospitalization rate of singleton pregnancy in trial group was much higher than that of control group (Plt;0.05). In very early premature birth, neonatal outcomes were particularly bad, but there was no diference between trial group and control group. In moderate premature birth and mild premature birth, the incidences of neonatal pneumonia and the aspiration syndrome of trial group were higher than those of control group, and the duration of NICU hospitalization was longer in trial group than in control group. he incidences of heart failure and postpartum hemorrhage in twin pregnancy combined with severe preeclampsia were particularly high. Conclusion Severe preeclampsia signiicantly afects fetal growth and perinatal outcomes; the average birth weight in each trial group of singleton pregnancy is much lower than that of control group. In moderate premature birth and mild premature birth, the neonatal adverse outcomes of trial group are much higher than those of control group. he total neonatal mortality and NICU hospitalization rate of singleton pregnancy in trial group is much higher than that of control group. In very early premature birth, morbidity and mortality of the newborn is closely related to gestational age. Women of multiple-pregnancy complicated with severe preeclampsia require more concerns about health care in order to prevent heart failure and postpartum hemorrhage.
ObjectivesTo systematically review the risk factors of complete uterine rupture so as to provide evidence for prevention of uterine rupture.MethodsPubMed, EMbase, The Cochrane Library, CBM and CNKI databases were electronically searched to collect case-control studies or cohort studies on the risk of complete uterine rupture from inception to October, 2019. Two reviewers independently screened literature, extracted data and assessed the quality of included studies, then, meta-analysis was performed by using RevMan 5.3 software.ResultsA total of 18 studies, involving 2 104 607 cases were included. The results of meta-analysis showed that the risk factors of complete uterine rupture included single-layer suture of uterine incision (OR=1.78, 95%CI 1.15 to 2.78, P=0.01), induction of labor (OR=1.72, 95%CI 1.21 to 2.45, P=0.003) (case-control studies) and (OR=2.66, 95%CI 1.87 to 3.79, P<0.000 01) (cohort studies), induction with prostaglandins (OR=3.23, 95%CI 1.48 to 7.06, P=0.003), induction with oxytocin (OR=3.97, 95%CI 1.65 to 9.59, P=0.002), and augmentation of labor with oxytocin (OR=2.17, 95%CI 1.53 to 3.09, P<0.000 1) (case-control studies) and (OR=2.29, 95%CI 1.24 to 4.23, P=0.008) (cohort studies). There was no significant relationship between birth weight and complete uterine rupture (OR=1.26, 95%CI 0.74 to 2.17, P=0.40).ConclusionsCurrent evidence shows that single layer suture of uterine incision, induction of labor, induction with prostaglandins, induction with oxytocin and augmentation of labor with oxytocin are the risk factors of complete uterine rupture. Due to limited quality and quantity of the included studies, more high-quality studies are required to verify above conclusions.
The use of repeated measurement data from patients to improve the classification ability of prediction models is a key methodological issue in the current development of clinical prediction models. This study aims to investigate the statistical modeling approach of the two-stage model in developing prediction models for non-time-varying outcomes using repeated measurement data. Using the prediction of the risk of severe postpartum hemorrhage as a case study, this study presents the implementation process of the two-stage model from various perspectives, including data structure, basic principles, software utilization, and model evaluation, to provide methodological support for clinical investigators.
ObjectiveTo understand the distribution of demographic sociological characteristics and co-morbidities among primiparous and multiparous pregnant women under the China's universal two-child policy, to provide baseline data for clinical high-risk management and medical resources allocation.MethodsWe included pregnant women from 24 hospitals in 16 provinces (municipality, autonomous region) of China and collected their demographic sociological characteristics and obstetrics information by questionnaires between September 19th, and November 20th, 2016. Then, we used descriptive analysis to present the distribution of demographic sociological characteristics and pregnancy co-morbidities among primiparous and multiparous women and compared differences between groups by t test or Chi-square test.ResultsAmong 12 403 investigated pregnant women, 8 268 (66.7%) were primiparous and 4 135 (33.3%) were multiparous, with highest proportion in East (931/2 008, 46.4%) and lowest in Northeast (385/2 179, 17.7%). Multiparous women, comparing to primiparous women, were more likely to be elderly than 35 years (accounting for 30.6% vs. 6.5%), lower educated with high school or below (29.7% vs. 16.9%), occupied in physical labor or unemployed (49.2% vs. 42.5%), non-local residents (12.7% vs. 10.5%), family annual income higher than 120 thousand yuan (41.3% vs. 33.3%), pre-pregnancy body mass index≥24 kg/m2 (13.6% vs. 9.9%), history of artificial abortions (44.9% vs. 24.0%), or pregnancies≥4 times (23.8% vs. 3.1%) and were less likely to receive assisted reproductive technology (2.3% vs. 4.7%). The most common co-morbidities were gynecology disease (5.5%), thyroid disease (5.4% in all women), blood system disease (5.0%), digestive system disease (4.2%) and hepatitis B infection (2.5%). Multiparous women, comparing to primiparous women, had higher proportions with blood system disease (5.7% vs. 4.7%), hepatitis B infection (3.1% vs. 2.2%) and chronic hypertension (0.6% vs. 0.2%), but lower proportions with thyroid diseases, polycystic ovary syndrome, and immune system diseases, whose distribution also showed regional differences.ConclusionThere existed distribution differences regarding demographic sociological characteristics and co-morbidities proportions between primiparous and multiparous women. Therefore, we should improve clinical risk management and medical resources allocation based on pregnant women’s baseline and gestational characteristics.