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1.
Int J Mol Sci ; 25(6)2024 Mar 13.
Article in English | MEDLINE | ID: mdl-38542243

ABSTRACT

The immune system of neonates is immature and therefore knowledge of possible early-life protection against SARS-CoV-2 infection, such as breastfeeding, is of great importance. Few studies have investigated the presence and duration of SARS-CoV-2 antibodies in breastmilk in relation to the trimester of maternal infection during pregnancy, and none with successful participation from all three trimesters. This study has dual objectives (1) in relation to the trimester of infection to examine the frequency, concentration and duration of IgA and IgG antibodies in breastmilk and blood serum in the third and sixth month post-partum in former SARS-CoV-2-infected mothers and (2) to examine the association in pediatric emergency admission of children within the first six months of life compared to children of non-SARS-CoV-2-infected women. The first objective is based on a prospective cohort and the second is based on a nested case-control design. The study participants are women with a former SARS-CoV-2 infection during pregnancy, whose serology IgG tests at delivery were still positive. Maternal blood and breastmilk samples were collected at three and six months postpartum. Serum IgA frequency three months pp was 72.7% (50%, 90% and 60% in the first, second and third trimester) and 82% six months pp (67%, 91% and 82% in the first, second and third trimester). Breastmilk IgA frequency three months pp was 27% (16.6%, 36% and 20% in first, second and third trimester) and 28% six months pp (0%, 38% and 28% in the first, second and third trimester). The highest IgA concentration in breastmilk was found six months post-partum with infection in the third trimester. Serum IgA was detectable more than 400 days post infection, and serum IgG above threshold was found 430 days after date of infection. We found no correlation between serum IgA and breastmilk IgA, nor between serum IgG and breastmilk IgA regardless of the trimester of infection.


Subject(s)
COVID-19 , Infant, Newborn , Pregnancy , Humans , Female , Child , Male , SARS-CoV-2 , Milk, Human , Prospective Studies , Postpartum Period , Antibodies, Viral , Immunoglobulin G , Mothers , Immunoglobulin A
3.
Reprod Health ; 20(1): 91, 2023 Jun 16.
Article in English | MEDLINE | ID: mdl-37328731

ABSTRACT

BACKGROUND: Postpartum haemorrhage is one of the leading causes of maternal mortality in low-income countries. Improving health workers' competencies in obstetric emergencies in low-income settings, has been recognized as an important factor in preventing maternal mortality and morbidity. mHealth interventions in maternal and newborn health care has shown the potential to improve health service delivery. Strong study designs such as randomized controlled trials are missing to estimate the effectiveness of the mHealth interventions. METHODS: Between August 2013 and August 2014, 70 health facilities in West Wollega Region, Ethiopia were included and randomized to intervention or control in a cluster randomized controlled trial. At intervention facilities birth attendants were provided with a smartphone with the SDA installed. Of 176 midwives and "health extension workers," 130 completed at 12 months follow-up. At baseline and after 6- and 12-months participants were assessed. Knowledge was tested by a Key Feature Questionnaire, skills by an Objective Structured Assessment of Technical Skills in a structured role-play scenario. RESULTS: Baseline skills scores were low and comparable with a median of 12/100 in the intervention and the control group. After 6 months skills had doubled in the intervention group (adjusted mean difference 29.6; 95% CI 24.2-35.1 compared to 1·8; 95% CI - 2.7 to 6.3 in the control group). At 12 months skills had further improved in the intervention group (adjusted mean difference 13.3; 95% CI 8.3-18.3 compared to 3.1; 95% CI - 1.0 to 7.3 in the control group). Knowledge scores also significantly improved in the intervention group compared to the control (adjusted mean difference after 12 months 8.5; 95% CI 2.0-15.0). CONCLUSION: The Safe Delivery App more than doubled clinical skills for managing postpartum haemorrhage among birth attendants making it an attractive tool to reduce maternal mortality. TRIAL REGISTRATION: Clinicaltrial.gov Identifier NCT01945931. September 5, 2013.


Maternal mortality caused by postpartum haemorrhage is a major public health concern in many low-income countries. Having access to skilled health care professionals during pregnancy and childbirth can prevent maternal deaths related to postpartum haemorrhage. mHealth interventions like the Safe Delivery App (SDA), a smartphone application, has shown the potential to improve the quality of care in emergency situations related to childbirth in low-income health system settings.This study examines the SDA as a training/education tool for improving health workers' competencies and performances in managing postpartum haemorrhage. The SDA contained animated instruction videos on how to prevent and treat postpartum haemorrhage and a list of essential drugs and basic equipment.In Ethiopia, 70 health facilities and 176 birth attendants were included in a randomized controlled trial. The intervention group received a smartphone with the SDA installed and half a day of introduction to the use of the app. Birth attendants' skills and knowledge in managing postpartum haemorrhage in the control and the intervention group were tested at baseline, 6 and 12 months after intervention.Our study found that the SDA is an effective tool to improve and sustain birth attendants' knowledge and skills in the management of postpartum haemorrhage in a rural, low-resource health system setting in Ethiopia, which confirms findings in other non-randomized studies examining the SDA on the management of postpartum haemorrhage.


Subject(s)
Midwifery , Postpartum Hemorrhage , Female , Humans , Infant, Newborn , Pregnancy , Clinical Competence , Ethiopia , Postpartum Hemorrhage/prevention & control , Smartphone
4.
Obstet Gynecol ; 137(1): 49-55, 2021 01 01.
Article in English | MEDLINE | ID: mdl-33116054

ABSTRACT

OBJECTIVE: To investigate the frequency of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) antibodies in parturient women, their partners, and their newborns and the association of such antibodies with obstetric and neonatal outcomes. METHODS: From April 4 to July 3, 2020, in a single university hospital in Denmark, all parturient women and their partners were invited to participate in the study, along with their newborns. Participating women and partners had a pharyngeal swab and a blood sample taken at admission; immediately after delivery, a blood sample was drawn from the umbilical cord. The swabs were analyzed for SARS-CoV-2 RNA by polymerase chain reaction, and the blood samples were analyzed for SARS-CoV-2 antibodies. Full medical history and obstetric and neonatal information were available. RESULTS: A total of 1,313 parturient women (72.5.% of all women admitted for delivery at the hospital in the study period), 1,188 partners, and 1,206 newborns participated in the study. The adjusted serologic prevalence was 2.6% in women and 3.5% in partners. Seventeen newborns had SARS-CoV-2 immunoglobulin G (IgG) antibodies, and none had immunoglobulin M antibodies. No associations between SARS-CoV-2 antibodies and obstetric or neonatal complications were found (eg, preterm birth, preeclampsia, cesarean delivery, Apgar score, low birth weight, umbilical arterial pH, need for continuous positive airway pressure, or neonatal admission), but statistical power to detect such differences was low. Full serologic data from 1,051 families showed an absolute risk of maternal infection of 39% if the partner had antibodies. CONCLUSION: We found no association between SARS-CoV-2 infection and obstetric or neonatal complications. Sixty-seven percent of newborns delivered by mothers with antibodies had SARS-CoV-2 IgG antibodies. A limitation of our study is that we lacked statistical power to detect small but potentially meaningful differences between those with and without evidence of infection.


Subject(s)
Antibodies, Viral/blood , COVID-19 Testing/statistics & numerical data , COVID-19/epidemiology , Infant, Newborn/blood , Sexual Partners , Adult , COVID-19/blood , Denmark/epidemiology , Female , Hospitalization , Hospitals, University , Humans , Immunoglobulin G/blood , Immunoglobulin M/blood , Infectious Disease Transmission, Vertical/statistics & numerical data , Male , Obstetric Labor Complications/epidemiology , Pregnancy , Pregnancy Complications, Infectious/epidemiology , Pregnancy Outcome/epidemiology , Premature Birth/epidemiology , Regression Analysis , Risk Factors , SARS-CoV-2/immunology
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