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      Vaccination in twin pregnancies: comparison between immunization before conception and during pregnancy

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          Abstract

          To evaluate the development of neutralizing Anti-Spike Protein IgG (Anti-S-IgG) during twin pregnancies before conception vs. during pregnancy. In this prospective study, three blood samples were collected from pregnant women and subjected to anti-S-IgG immunodiagnostics. The patient’s medical records, including vaccination and PCR test results, were collected from the hospital’s electronic database. Age-matched non-pregnant women were used as a control group. We enrolled 83 women with twin pregnancies. 49 women were vaccinated before conception, 21 women were vaccinated during pregnancy, and 13 were not vaccinated. Of the 13 women who weren’t vaccinated, three became positive during pregnancy, and all three were severely ill. By contrast, in women who were vaccinated during or before pregnancy, COVID-19 infection during pregnancy caused only mild symptoms. A ten-fold lower level of neutralizing Anti-S-IgG in the 3rd trimester was observed in healthy women who were vaccinated before conception and remained healthy until discharge from the hospital after delivery 1605 (IQR: 763–2410) compared to the healthy women who were vaccinated during pregnancy 152 AU/mL (IQR: 54–360). This difference was higher among women who were infected by COVID-19 (as verified by a positive PCR test). The third-trimester level of neutralizing Ant-S-IgG in the infected group was 4770 AU/mL (4760–6100) in infected women vaccinated before conception compared to those vaccinated during pregnancy who had 70 AU/mL (IQR: 20–170) ( p < 0.001). In women vaccinated at 13–16 weeks gestation, neutralizing Anti-S-IgG at 20–22 weeks went up to 372 AU/mL (IQR: 120–1598) but rapidly dropped to 112 AU/mL (IQR: 54–357) at 28–30 weeks, ( p < 0.001), a faster decline than in women vaccinated at a median 22 weeks before conception. Being infected by COVID-19 before conception was linked to having low Anti-S-IgG levels during pregnancy, whereas being infected by COVID-19 during pregnancy led to a very high response in the 3rd trimester. In twin pregnancies, significantly lower neutralizing Anti-S-IgG levels were observed in women vaccinated during pregnancy compared to those vaccinated before conception, whether infected or not infected by COVID-19. A full course of vaccination before conception is recommended.

          Trial registration. ClinicalTrials.gov Protocol Registration and Results System (PRS) Receipt Release Date: October 4, 2021. https://clinicaltrials.gov/ ID: NCT04595214.

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          Effects of coronavirus disease 2019 ( COVID ‐19) on maternal, perinatal and neonatal outcomes: a systematic review

          ABSTRACT Objective To evaluate the effects of coronavirus disease 2019 (COVID‐19) on maternal, perinatal and neonatal outcomes by performing a systematic review of available published literature on pregnancies affected by COVID‐19. Methods We performed a systematic review to evaluate the effects of COVID‐19 on pregnancy, perinatal and neonatal outcomes. We conducted a comprehensive literature search using PubMed, EMBASE, the Cochrane Library, China National Knowledge Infrastructure Database and Wan Fang Data until 20 April 2020 (studies were identified through PubMed alert after that date). For the research strategy, combinations of the following keywords and MeSH terms were used: SARS‐CoV‐2, COVID‐19, coronavirus disease 2019, pregnancy, gestation, maternal, mothers, vertical transmission, maternal‐fetal transmission, intrauterine transmission, neonates, infant, delivery. Eligibility criteria included laboratory‐confirmed and/or clinically diagnosed COVID‐19, patient being pregnant on admission and availability of clinical characteristics, including at least one maternal, perinatal or neonatal outcome. Exclusion criteria were non‐peer‐reviewed or unpublished reports, unspecified date and location of the study, suspicion of duplicate reporting, and unreported maternal or perinatal outcomes. No language restrictions were applied. Results We identified a high number of relevant case reports and case series, but only 24 studies, including a total of 324 pregnant women with COVID‐19, met the eligibility criteria and were included in the systematic review. These comprised nine case series (eight consecutive) and 15 case reports. A total of 20 pregnant patients with laboratory‐confirmed COVID‐19 were included in the case reports. In the combined data from the eight consecutive case series, including 211 (71.5%) cases of laboratory‐confirmed and 84 (28.5%) of clinically diagnosed COVID‐19, the maternal age ranged from 20 to 44 years and the gestational age on admission ranged from 5 to 41 weeks. The most common symptoms at presentation were fever, cough, dyspnea/shortness of breath, fatigue and myalgia. The rate of severe pneumonia reported amongst the case series ranged from 0 to 14%, with the majority of the cases requiring admission to the intensive care unit. Almost all cases from the case series had positive computer tomography chest findings. All six and 22 cases that had nucleic‐acid testing in vaginal mucus and breast milk samples, respectively, were negative for SARS‐CoV‐2. Only four cases of spontaneous miscarriage or abortion were reported. In the consecutive case series, 219/295 women had delivered at the time of reporting, and the majority of these had Cesarean section. The gestational age at delivery ranged from 28 to 41 weeks. Apgar scores at 1 and 5 min ranged from 7 to 10 and 7 to 10, respectively. Only eight neonates had birth weight <2500 g and nearly one‐third of cases were transferred to the neonatal intensive care unit. There was one case each of neonatal asphyxia and neonatal death. In 155 neonates that had nucleic‐acid testing in throat swab, all, except three cases, were negative for SARS‐CoV‐2. There were seven maternal deaths, four intrauterine fetal deaths (one with twin pregnancy) and two neonatal deaths (twin pregnancy) reported in a non‐consecutive case series of nine cases with severe COVID‐19. From the case reports, two maternal deaths, one neonatal death and two cases of neonatal SARS‐CoV‐2 infection were reported. Conclusions Despite the increasing number of published studies on COVID‐19 in pregnancy, there are insufficient good‐quality data to draw unbiased conclusions with regard to the severity of the disease or specific complications of COVID‐19 in pregnant women, as well as vertical transmission, perinatal and neonatal complications. In order to answer specific questions in relation to the impact of COVID‐19 on pregnant women and their fetuses through meaningful good‐quality research, we urge researchers and investigators to present complete outcome data and reference previously published cases in their publications, and to record such reporting when the data of a case are entered into a registry or several registries. This article is protected by copyright. All rights reserved.
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            Why are pregnant women susceptible to COVID-19? An immunological viewpoint

            Highlights • The COVID-19 may alter the maternal symmetrical and local immune responses, and affect the well-being of mothers and infants. • Pregnant women are more susceptible to respiratory pathogens; hence, they may be more susceptible to SARS-CoV-2 than the general population. • We focused on the immunological factor of the susceptibility of pregnant women to COVID-19 and the potential damages to mother and fetus.
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              The WHO estimates of excess mortality associated with the COVID-19 pandemic

              The World Health Organization has a mandate to compile and disseminate statistics on mortality, and we have been tracking the progression of the COVID-19 pandemic since the beginning of 2020 1 . Reported statistics on COVID-19 mortality are problematic for many countries owing to variations in testing access, differential diagnostic capacity and inconsistent certification of COVID-19 as cause of death. Beyond what is directly attributable to it, the pandemic has caused extensive collateral damage that has led to losses of lives and livelihoods. Here we report a comprehensive and consistent measurement of the impact of the COVID-19 pandemic by estimating excess deaths, by month, for 2020 and 2021. We predict the pandemic period all-cause deaths in locations lacking complete reported data using an overdispersed Poisson count framework that applies Bayesian inference techniques to quantify uncertainty. We estimate 14.83 million excess deaths globally, 2.74 times more deaths than the 5.42 million reported as due to COVID-19 for the period. There are wide variations in the excess death estimates across the six World Health Organization regions. We describe the data and methods used to generate these estimates and highlight the need for better reporting where gaps persist. We discuss various summary measures, and the hazards of ranking countries’ epidemic responses. Msemburi et al. describe how the World Health Organization has estimated the excess mortality associated with the COVID-19 pandemic, by month and for 2020 and 2021, and analyse their estimates across the WHO member states, with 14.83 million global excess deaths estimated.
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                Author and article information

                Contributors
                rsvirs@gmail.com
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                11 May 2024
                11 May 2024
                2024
                : 14
                : 10813
                Affiliations
                [1 ]Department of Obstetrics and Gynecology, Shamir (Assaf Harofeh) Medical Center, ( https://ror.org/02722hp10) Zerifin, Israel
                [2 ]GRID grid.518232.f, ISNI 0000 0004 6419 0990, Medical Genetic Unit, Department of Obstetrics and Gynecology, , Samson Assuta Ashdod University Hospital, ; Ashdod, Israel
                [3 ]Faculty of Health Sciences, Ben-Gurion University of the Negev, ( https://ror.org/05tkyf982) Be’er Sheva, Israel
                [4 ]Clinical Chemistry Lab, Shamir Medical Center, Zrifin, Israel
                [5 ]GRID grid.415739.d, ISNI 0000 0004 0631 7092, Department of Statistics, , Ziv Medical Center, and Tel Hai Academic College, ; Safed and Tel Hai, Israel
                [6 ]PreTwin Screen Consortium and TeleMarpe Ltd, Tel Aviv, Israel
                [7 ]School of Medicine, Faculty of Medicine and Health Science, Tel Aviv University, ( https://ror.org/04mhzgx49) Tel Aviv, Israel
                [8 ]Hospital Management, Shamir (Assaf Harofeh) Medical Center, ( https://ror.org/02722hp10) Zerifin, Israel
                Article
                61504
                10.1038/s41598-024-61504-6
                11088702
                38734805
                c88d504b-ea02-4190-8bd2-d9f4e7d0c2e4
                © The Author(s) 2024

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 29 May 2023
                : 7 May 2024
                Funding
                Funded by: Erapermed project
                Award ID: # JTC2019-61
                Award ID: # JTC2019-61
                Award ID: # JTC2019-61
                Award ID: # JTC2019-61
                Award ID: # JTC2019-61
                Award ID: # JTC2019-61
                Award ID: # JTC2019-61
                Award ID: # JTC2019-61
                Award ID: # JTC2019-61
                Award ID: # JTC2019-61
                Award Recipient :
                Funded by: Israel Ministry of Health Project
                Award ID: # 2020166
                Award ID: # 2020166
                Award ID: # 2020166
                Award ID: # 2020166
                Award ID: # 2020166
                Award ID: # 2020166
                Award ID: # 2020166
                Award ID: # 2020166
                Award ID: # 2020166
                Award ID: # 2020166
                Award Recipient :
                Funded by: Shamir Medical Center "Taftafot"
                Award ID: grant #12/2021
                Award Recipient :
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                © Springer Nature Limited 2024

                Uncategorized
                bnt162b2 pfizer/biontech vaccination,cov-2-trimeric s-igg -b1,neutralizing antibodies,pcr,sars-cov-2,twin pregnancy,immunology,diseases,health care,medical research

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