COVID-19 and maternal and perinatal outcomes - Authors' reply

Observational study on the neonatal outcome during the COVID-19 pandemic in Germany

AIM

We aimed to determine stillbirth, preterm birth, perinatal complications, and the developmental outcome of children born preterm during the COVID-19 pandemic in Germany.

METHODS

National data from the perinatal survey of preterm and term infants born in 2017-2020 between 22 March and 31 December were evaluated. Neurodevelopment of preterm infants at 2 years corrected age was tested with the Parent Report of Children's Abilities-Revised questionnaire and by clinical testing with Bayley scales, either before or during the COVID-19 pandemic. Statistical significance was calculated using a Pearson's chi-square-independence test and a linear regression model.

RESULTS

In 2020, there was an increase of stillbirths of 0.02% (p = 0.01) and a decrease in preterm births by 0.38% (p < 0.001). No changes were found in a representative subgroup of infants with regard to neurodevelopmental scores (mental developmental index and psychomotor developmental index) or in parent survey data (non-verbal cognition scale and language development scale).

CONCLUSION

Increasing rates of stillbirths and decreasing preterm births in Germany were observed. Existing networks might stabilise neurodevelopment of preterm infants during the COVID-19 pandemic.

HQDCNet: Hybrid Quantum Dilated Convolution Neural Network for detecting covid-19 in the context of Big Data Analytics

Medical care services are changing to address problems with the development of big data frameworks as a result of the widespread use of big data analytics. Covid illness has recently been one of the leading causes of death in people. Since then, related input chest X-ray image for diagnosing COVID illness have been enhanced by diagnostic tools. Big data technological breakthroughs provide a fantastic option for reducing contagious Covid disease. To increase the model's confidence, it is necessary to integrate a large number of training sets, however handling the data may be difficult. With the development of big data technology, a unique method to identify and categorise covid illness is now found in this research. In order to manage incoming big data, a massive volume of chest x-ray images is gathered and analysed using a distributed computing server built on the Hadoop framework. In order to group identical groups in the input x-ray images, which in turn segments the dominating portions of an image, the fuzzy empowered weighted k-means algorithm is then employed. A hybrid quantum dilated convolution neural network is suggested to classify various kinds of covid instances, and a Black Widow-based Moth Flame is also shown to improve the performance of the classifier pattern. The performance analysis of COVID-19 detection makes use of the COVID-19 radiography dataset. The suggested HQDCNet approach has an accuracy of 99.01. The experimental results are evaluated in Python using performance metrics such as accuracy, precision, recall, f-measure, and loss function.

Challenges of being a maternity service leader during the COVID-19 pandemic: a descriptive analysis of the journey

BACKGROUND

In Australia, maternity care services provide care for pregnant and postpartum women and their newborns. The COVID-19 pandemic forced these services to quickly adapt and develop policies and procedures for dealing with transmission in health care facilities, as well as work under public health measures to counter its spread within the community. Despite well-documented responses and adaptations by healthcare systems, no studies have examined the experiences of maternity service leaders through the pandemic. This study aimed to explore the experiences of maternity service leaders, to understand their perspectives on what happened in health services and what was required of a leader during the COVID-19 pandemic in one Australian state.

METHODS

A longitudinal qualitative study collected data from 11 maternity care leaders during the pandemic in the state of Victoria. Leaders participated in a series of interviews over the 16-month study period, with a total of 57 interviews conducted. An inductive approach to developing codes allowed for semantic coding of the data, then a thematic analysis was conducted to explore patterned meaning across the dataset.

RESULTS

One overarching theme, 'challenges of being a maternity service leader during the pandemic', encompassed participant's experiences. Four sub-themes described the experiences of these leaders: (1) needing to be a rapid decision-maker, (2) needing to adapt and alter services, (3) needing to filter and translate information, and (4) the need to support people. At the beginning of the pandemic, the challenges were most acute with slow guideline development, rapid communications from the government and an urgent need to keep patients and staff safe. Over time, with knowledge and experience, leaders were able to quickly adjust and respond to policy change.

CONCLUSION

Maternity service leaders played an important role in preparing and adapting services in accordance with government directives and guidelines while also developing strategies tailored to their own health service requirements. These experiences will be invaluable in designing high quality and responsive systems for maternity care in future crises.

The impact of the COVID-19 pandemic on perinatal loss among Italian couples: A mixed-method study

Background

Perinatal bereavement is an event that greatly impacts the emotional, psychological, and psychosocial aspects of those who want to have a child.

Objectives

Since there are few studies on the psychological impact of the COVID-19 pandemic on couples grieving for perinatal loss, this research aimed to survey this experience.

Participants

Between 2020 and 2021, in Italian provinces highly affected by the COVID-19 pandemic, 21 parents participated: 16 mothers (76%; mean age 36.2; SD: 3.1) and 5 fathers (24%; mean age 40.2; SD: 3.4), among which there were 4 couples.

Methods

A mixed-method design was used through self-report questionnaires and in-depth interviews. Accompanied by a sociodemographic form, the following questionnaires were administered: Prolonged Grief-13, the Parental Assessment of Paternal Affectivity (PAPA) (to fathers), the Parental Assessment of Maternal Affectivity (PAMA) (to mothers), the Dyadic Adjustment Scale short version, the Daily Spiritual Experiences Scale, and the Impact of Event Scale-Revised. The texts obtained through the in-depth interviews underwent thematic analysis.

Results

Fifty per cent of participants suffered from Post-Traumatic Stress Disorders (PTSD) symptoms and 20% suffered from relational dyadic stress. Four areas of thematic prevalence emerged: psychological complexity of bereavement, the impact of the COVID-19, disenfranchisement vs. support, and spirituality and contact with the lost child. Participants interpreted their distress as related to inadequate access to healthcare services, and perceiving the pandemic restrictions to be responsible for less support and lower quality of care. Furthermore, they needed psychological help, and most of them were unable to access this service. Spirituality/religiosity did not help, while contact with the fetus and burial did.

Conclusion

It is important to implement psychological services in obstetrics departments to offer adequate support, even in pandemic situations.

Antibody levels to SARS-CoV-2 spike protein in mothers and children from delivery to six months later

INTRODUCTION

Pregnant women are vulnerable to severe acute respiratory syndrome coronavirus (SARS-CoV-2) infection. Neutralizing antibodies against the SARS-CoV-2 spike (S) protein protect from severe disease. This study analyzes the antibody titers to SARS-CoV-2 S protein in pregnant women and their newborns at delivery, and six months later.

METHODS

We conducted a prospective study on pregnant women with confirmed SARS-CoV-2 infection and newborns. Antibody (IgG, IgM, and IgA) titers were determined using immunoassays in serum and milk samples. An angiotensin-converting enzyme 2 (ACE2) receptor-binding inhibition assay to the S protein was performed on the same serum and milk samples.

RESULTS

At birth, antibodies to SARS-CoV-2 spike protein were detected in 81.9% of mothers' sera, 78.9% of cord blood samples, and 63.2% of milk samples. Symptomatic women had higher antibody titers (IgG, IgM, and IgA) than the asymptomatic ones (P < 0.05). At six months postpartum, IgG levels decreased drastically in children's serum (P < 0.001) but remained high in mothers' serum. Antibody titers correlated positively with its capacity to inhibit the ACE2-spike protein interaction at baseline in maternal sera (R²  = 0.203; P < 0.001), cord sera (R²  = 0.378; P < 0.001), and milk (R²  = 0.564; P < 0.001), and at six months in maternal sera (R²  = 0.600; P < 0.001).

CONCLUSIONS

High antibody levels against SARS-CoV-2 spike protein were found in most pregnant women. Due to the efficient transfer of IgG to cord blood and high IgA titers in breast milk, neonates may be passively immunized to SARS-CoV-2 infection. Our findings could guide newborn management and maternal vaccination policies.

Evaluation of the Effects on Uninfected Pregnant Women and Their Pregnancy Outcomes During the COVID-19 Pandemic in Beijing, China

Background

People's lifestyles may have changed during the COVID-19 pandemic, which may have a profound impact on pregnant women and newborns. This study aims to assess the effects of the COVID-19 pandemic on uninfected pregnant women and their newborns, including potential environmental factors.

Methods

We retrospectively analyzed the pregnancy complications of 802 cases in the pandemic group and 802 controls in the pre-pandemic group in a matched nested case-control study, and evaluated the association with sociodemographic features, lifestyles, and other factors in 311 pregnant women with adverse pregnancy outcomes.

Results

Compared to the pre-pandemic group, the rates of anemia, vaginitis, shoulder dystocia, and adverse pregnancy outcomes such as preterm birth were increased in the pandemic group. After controlling for the covariates, we observed a higher risk of adverse pregnancy outcomes in the pandemic group. Pregnant women with adverse pregnancy outcomes had an increased rate of anemia and vaginal candidiasis.

Conclusion

COVID-19 pandemic has profound effects on adverse pregnancy outcomes, suggesting the importance of ensuring regular prenatal checkups and keeping a healthy lifestyle.

Prenatal and neonatal complications of COVID ‐19: A systematic review

Background and Aims

The outbreak of coronavirus disease 2019 (COVID‐19) over the past year has affected public health worldwide. During pregnancy, the maternal immune system and inflammatory responses are widely suppressed. Pregnancy‐related immune system suppression could make the mother vulnerable to infectious diseases like SARS‐COV‐2. However, current data suggest little to no possibility of COVID‐19 transmission in pregnant women to the fetus during pregnancy or childbirth. This systematic review focused on the possible complications of COVID‐19 infection in the fetus and newborn babies including the possibility and evidence of vertical transmission by reviewing articles published during the first year of the COVID‐19 pandemic.

Methods

We conducted a systematic search using keywords on PubMed, Embase, and Scopus databases. The studies followed a title/abstract and a full‐text screening process, and the eligible articles were included in the study.

Results

In total, 238 published papers were identified using a systematic search strategy (44 articles met the inclusion criteria and were included in the final review). In all studies, a total of 2375 women with signs and symptoms of COVID‐19, who were in the second and third trimester of pregnancy, were assessed mild to moderate pneumonia was one of the most common symptoms. Seventy‐three percent of the women did not present any comorbidity, 19% had a fever, 17% had to cough as the most frequent clinical signs and symptoms, 7.5% had pulmonary changes with chest scans, 8% had increased C reactive protein, and 9.4% had decreased lymphocytes (lymphocytopenia). A total of 2716 newborns and fetal were assessed; the delivery method of 1725 of them was reported, 913 (53%) through C‐section delivery, and 812 through normal vaginal delivery (47%). Of total newborns, 13 died (five died along with the mother), and 1965 were tested for SARS‐CoV‐2:118 tested positive. In a study, vertical transmission in seven cases was reported in total of 145 cases assessed.

Conclusion

It appeared that most pregnant COVID patients were mildly ill, and there is currently no convincing evidence to support the vertical transmission of COVID‐19 disease. Therefore, neonates do not represent any additional risk for adverse outcomes neither during the prenatal period nor after birth.