Pregnant women and their neonates belong to the group of individuals with elevated risk for COVID-19 infection. Data on the course of the disease and how it affects the pregnancy and neonatal wellbeing remain conflicting. The aim of the study was to evaluate the effect of SARS CoV-2 infection on the mode of delivery, neonatal condition and selected maternal and fetal laboratory parameters. This was a single-center retrospective case-control study. This dataset was generated using electronic medical records collected by medical personnel. Two groups of patients, hospitalized between April, 2020 and February, 2021, were included in the study: study group (304)-pregnant women with SARS-CoV-2 and control group ( = 329)-healthy pregnant women or parturients. Mothers with a severe course of COVID-19 had higher activated partial thromboplastin-APTT ( = 0.02), C-Reactive Protein-CRP ( = 0.00) and procalcitonin ( = 0.032) levels as compared to pregnant women with mild or moderate course of the disease. Neonates born to SARS-CoV-2-infected mothers presented with worse condition at 1 and 5 minutes of life ( = 0.000 and 0.00, respectively) and lower Arterial Blood Gas-ABG pH scores ( = 0.016). Elective cesarean section is the most common mode of delivery for SARS-CoV2-infected mothers. Emergency cesarean sections are performed at earlier gestational age as compared to vaginal delivery and elective cesarean section. Lower Apgar scores were observed in neonates born to SARS-CoV-2-infected mothers who required oxygen therapy and whose procalcitonin levels were elevated. There is a relationship between more severe course of COVID-19 and APTT, as well as CRP and procalcitonin levels.
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http://dx.doi.org/10.3390/ijerph192215307 | DOI Listing |
While maternal mortality decreased during the Millennium Development Goals era, it remains unacceptably high, with stagnation in reductions possible due to shocks such as COVID-19. Most women in low- and middle-income countries already receive antenatal care and over half give birth in health facilities. In cities, use of health facilities for childbirth is near universal (>90%).
View Article and Find Full Text PDFFront Public Health
January 2025
Department of Animal Biology and Conservation Science, College of Basic and Applied Sciences, University of Ghana, Legon, Accra, Ghana.
Introduction: Hepatitis E virus (HEV) infection poses a significant burden on pregnant women, with associated negative outcomes. Although well-described in many developed countries, the epidemiology of the disease and its impact on maternal and fetal health in Ghana is not fully understood.
Materials And Methods: A cross-sectional survey was conducted in the antenatal clinics of 10 district hospitals in five regions of Ghana.
Front Public Health
January 2025
Institute of Agriculture, Tokyo University of Agriculture and Technology, Tokyo, Japan.
Background: Effective use of health services by pregnant and postpartum woman (PPWs) is crucial to maternal and child health. Most maternal deaths are attributed to inadequate maternal health services, especially in rural areas. As a vulnerable group, rural PPWs can effectively prevent and reduce maternal and infant health risk factors through whole-process health management and ensure the health and safety of mothers and infants.
View Article and Find Full Text PDFSurg Pract Sci
June 2023
Faculty of Medicine, Department of Cardiothoracic Surgery, Hebrew University of Jerusalem, Shaare Zedek Medical Center, Jerusalem, Israel.
Introduction: The aim of this study was to evaluate the impact of minor trauma during pregnancy on maternal and fetal outcomes in patients managed in a tertiary setting.
Materials And Methods: A retrospective single centre case-controlled study was performed between 2005 and 2017 in a university affiliated tertiary obstetric and trauma centre. All pregnant women of 13-36 weeks gestation that presented to the department of emergency medicine with an Injury Severity Score of <9 were identified.
Front Cell Dev Biol
January 2025
Quzhou Aliated Hospital of Wenzhou Medical University, Quzhou People's Hospital, Quzhou, Zhejiang, China.
Background: Gestational diabetes mellitus (GDM) is a temporary metabolic disorder in which small retinal vessels may have experience subtle changes before clinical lesions of the fundus retina appear. An innovative artificial intelligence image processing technology was applied to locate and analyze the small retinal vessel morphology and accurately evaluate the changes of the small retinal vessels in GDM patients and pregnant women with normal blood glucose and non-pregnant women with normal blood glucose.
Methods: The subjects were divided into three groups:GDM group, pregnant control group (PC), and normal control group (NC).
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