Objectives: The objectives of this study is to compare ductus venosus (DV) and cerebral transverse sinus (CTS) Doppler velocimetry for predicting acidemia at birth in pregnancies complicated by placental insufficiency.
Methods: A prospective cross-sectional study involving 69 cases. Doppler assessment of the DV and CTS was carried out in the last 24 hours prior to delivery. The sensitivity, specificity, positive and negative predictive values, and the accuracy and false-positive and false-negative rates were calculated for those parameters considered to be good predictors of acidemia. The McNemar test was used to compare the various parameters.
Results: The DV pulsatility index(PI), S/A, and (S - A)/S ratios as well as the CTS PI and the (S - A)/S ratio were good predictors of acidemia. The comparison between DV and CTS showed that for pulsatility index for veins, the sensitivity was 52.4% versus 66.7%, p = 0.508; the specificity was 81.2% versus 77.1%, p = 0.774; and the accuracy was 72.5% versus 73.9%, p = 1.00. For the (S - A)/S ratio the sensitivity was 52.4% versus 52.4%, p = 1.00; the specificity was 85.4% versus 79.2%, p = 0.508; and the accuracy was 75.4% versus 71%, p = 0.647.
Conclusions: In pregnancies with placental insufficiency, the PI and the (S - A)/S ratio of both DV and CTS were equally effective in predicting acidemia at birth.
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http://dx.doi.org/10.1002/pd.4208 | DOI Listing |
Introduction Chronic obstructive pulmonary disease (COPD) is a significant contributor to global morbidity and mortality. Despite well-established management protocols, treatment remains suboptimal due to high costs and mortality rates. This study aims to compare the impact of initial oxygenation status, Dyspnea, Eosinopenia, Consolidation, Acidemia, and Atrial Fibrillation (DECAF), and National Early Warning Score 2 (NEWS2) scores on management outcomes in COPD patients.
View Article and Find Full Text PDFEur J Obstet Gynecol Reprod Biol
December 2024
Maternal and Fetal Health Research Centre, Division of Developmental Biology and Medicine, School of Medical Sciences, Faculty of Biology, Medicine and Health, University of Manchester, UK; Saint Mary's Hospital, Manchester University NHS Foundation Trust, UK.
Introduction: Fetal scalp blood sampling (FSBS) can be used as an adjunctive test, in the presence of a pathological intrapartum fetal heart rate trace, to provide evidence of fetal acidaemia. The role of FSBS remains controversial, this study evaluates the diagnostic accuracy of FSBS at determining various adverse neonatal outcomes.
Method: A retrospective cohort analysis of FSBS undertaken < 1 h from birth in a single UK centre in 2016 and 2017.
J Obstet Gynaecol Res
January 2025
Department of Obstetrics and Gynecology, Yamagata University Faculty of Medicine, Yamagata, Yamagata, Japan.
Aim: In Japan, the fetal heart rate pattern on cardiotocography is usually categorized into five levels for intrapartum management; however, studies on the 5-tier cardiotocography classification are limited. This study aimed to determine the correlation between 5-tier cardiotocography levels at delivery, neonatal Apgar scores and perinatal prognosis using a perinatal registry database.
Methods: This retrospective study used the 2018 Perinatal Registry Database of the Japan Society of Obstetrics and Gynecology.
PeerJ
December 2024
Prenatal Diagnosis Center, Urumqi Maternal and Child Health Hospital, Urumqi, Xinjiang Uygur Autonomous Region, China.
To determine the disease spectrum and genetic characteristics of inborn errors of metabolism (IEM) in Xinjiang province in the northwest of China, 41,690 newborn babies were screening by tandem mass spectrometry from November 2018 to December 2021. Of these, 57 newborn babies were referred for genetic analysis by next-generation sequencing, which was validated by Sanger sequencing. A total of 36 newborn babies and one relative were diagnosed with IEM, and the overall positive predictive value was 29.
View Article and Find Full Text PDFComput Biol Med
January 2025
Université de Paris Cité, 75006, Paris, France; Department of Obstetrics and Maternal-Fetal Medicine, Assistance Publique des Hôpitaux de Paris Hôpital Necker-Enfants Malades, 75015 Paris, France.
Cardiotocography (CTG) is the main tool available to detect neonatal acidemia during delivery. Presently, obstetricians and midwives primarily rely on visual interpretation, leading to a significant intra-observer variability. In this paper, we build and evaluate a convolutional neural network to detect neonatal acidemia from the CTG signals during delivery on a multicenter database with 27662 cases in five centers, including 3457 and 464 cases of moderate and severe neonatal acidemia respectively (defined by a fetal pH at birth between 7.
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