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1.
Rev. bras. ginecol. obstet ; 43(6): 436-441, June 2021. tab
Article in English | LILACS | ID: biblio-1341138

ABSTRACT

Abstract Objective The aim of the present study was to evaluate the risk factors for cesarean section (C-section) in low-risk multiparous women with a history of vaginal birth. Methods The present retrospective study included low-risk multiparous women with a history of vaginal birth who gave birth at between 37 and 42 gestational weeks. The subjects were divided into 2 groups according to the mode of delivery, as C-section Group and vaginal delivery Group. Risk factors for C-section such as demographic characteristics, ultrasonographic measurements, smoking, weight gain during pregnancy (WGDP), interval time between prior birth, history of macrosomic birth, and cervical dilatation at the admission to the hospital were obtained fromthe charts of the patients. Obstetric and neonatal outcomes were compared between groups. Results The most common C-section indications were fetal distress and macrosomia (33.9% [n=77 and 20.7% [n=47] respectively). A bivariate correlation analysis demonstrated that mothers aged>30 years old (odds ratio [OR]: 2.09; 95% confidence interval [CI]: 1.30-3.34; p=0.002), parity >1 (OR: 1.81; 95%CI: 1.18-2.71; p=0.006), fetal abdominal circumference (FAC) measurement>360mm (OR: 34.20; 95%CI: 8.04 -145.56; p<0.001)) and<345mm (OR: 3.06; 95%CI: 1.88-5; p<0.001), presence of large for gestational age (LGA) fetus (OR: 5.09; 95%CI: 1.35-19.21; p=0.016), premature rupture of membranes (PROM) (OR: 1.52; 95%CI: 1-2.33; p=0.041), and cervical dilatation<5cm at admission (OR: 2.12; 95%CI: 1.34-3.34; p=0.001) were associated with the group requiring a C-section. Conclusion This is the first study evaluating the risk factors for C-section in low-risk multiparous women with a history of vaginal birth according to the Robson classification 3 and 4. Fetal distress and suspected fetal macrosomia constituted most of the Csection indications.


Subject(s)
Humans , Female , Pregnancy , Adult , Parity , Cesarean Section/classification , Fetal Macrosomia/complications , Fetal Membranes, Premature Rupture , Labor Stage, First , Case-Control Studies , Retrospective Studies , Risk Factors , Maternal Age , Delivery, Obstetric , Fetal Distress/complications , Sagittal Abdominal Diameter
2.
Arch. endocrinol. metab. (Online) ; 63(2): 121-127, Mar.-Apr. 2019. tab, graf
Article in English | LILACS | ID: biblio-1001217

ABSTRACT

ABSTRACT Objective We investigated the utility of maternal fetuin-A, N-terminal proatrial natriuretic peptide (pro-ANP), high-sensitivity C-reactive protein (hs-CRP), and fasting glucose levels at 11-14 gestation weeks for predicting pregnancies complicated by gestational diabetes mellitus (GDM). Subjects and methods This prospective cohort study included 327 low-risk pregnant women who completed antenatal follow-up at a tertiary research hospital between January and April 2014. Maternal blood samples were collected between 11-14 gestational weeks in the first trimester of pregnancy and then stored at -80 °C until further analyses. During follow-up, 29 (8.8%) women developed GDM. The study population was compared 1:2 with age- and body mass index-matched pregnant women who did not develop GDM (n = 59). Fasting plasma glucose (FPG) levels and serum fetuin-A, pro-ANP, and hs-CRP levels were measured using automated immunoassay systems. Results There was a significant negative correlation between fetuin-A and hs-CRP (CC = -0.21, p = 0.047) and a positive correlation between FPG and hs-CRP (CC = 0.251, p = 0.018). The areas under the receiver operating characteristic curve for diagnosing GDM were 0.337 (p = 0.013), 0.702 (p = 0.002), and 0.738 (p < 0.001) for fetuin-A, hs-CRP, and FPG, respectively. The optimal cut-off values were > 4.65, < 166, and > 88.5 mg/dL for maternal hs-CRP, fetuin-A, and FPG, respectively. Conclusion Reduced fetuin-A, elevated hs-CRP, and FPG levels in women in the first trimester can be used for the early detection of GDM. Further research is needed before accepting these biomarkers as valid screening tests for GDM.


Subject(s)
Humans , Female , Pregnancy , Adolescent , Adult , Young Adult , Pregnancy Trimester, First/blood , Blood Glucose/metabolism , C-Reactive Protein/metabolism , Insulin Resistance , Decision Support Techniques , Diabetes, Gestational/diagnosis , Insulin/blood , Biomarkers/blood , Logistic Models , Odds Ratio , Predictive Value of Tests , Retrospective Studies , Follow-Up Studies , Sensitivity and Specificity , Diabetes, Gestational/blood
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