Risk of preeclampsia in patients with symptomatic COVID-19 infection.

OBJECTIVES: Recent studies suggest an association between COVID-19 infection during pregnancy and preeclampsia. Nonetheless, these studies are subject to numerous biases. We compared the onset of preeclampsia in a group with symptomatic COVID-19 during pregnancy to that in a group whose non-exposure to the virus was certain, in a center where pregnancy management was identical in both groups. STUDY DESIGN: This was a single-center study comparing exposed and unexposed patients. The exposed group included pregnant women with symptomatic COVID-19 infection (diagnosed by RT-PCR or CT scan), who gave birth between March and December, 2020. The unexposed group included pregnant women who gave birth between March and December, 2019. Only cases of preeclampsia that occurred after COVID-19 infection were considered. A multivariate analysis was performed to study the existence of an association between COVID-19 and preeclampsia. A sensitivity analysis was performed among nulliparous patients. RESULTS: The frequency of preeclampsia was 3.2% (3/93) in the exposed group, versus 2.2% (4/186) in the unexposed group (P = 0.58). Among the nulliparous patients, the frequency of preeclampsia was 4.9% (2/41) in the exposed group versus 0.9% (1/106) in the unexposed group (P = 0.13). The association between COVID-19 and preeclampsia was not significant after multivariate analysis (OR 3.12, 95% CI 0.39-24.6). CONCLUSION: Symptomatic COVID-19 infection during pregnancy does not appear to increase the risk of preeclampsia strongly, although the size of our sample prevents us from reaching a conclusion about a low or moderate risk. It therefore does not appear necessary to reinforce preeclampsia screening in patients with symptomatic COVID-19 infection during pregnancy.

Cucurbit[7]uril Macrocyclic Sensors for Optical Fingerprinting: Predicting Protein Structural Changes to Identifying Disease-Specific Amyloid Assemblies.

In a three-dimensional (3D) representation, each protein molecule displays a specific pattern of chemical and topological features, which are altered during its misfolding and aggregation pathway. Generating a recognizable fingerprint from such features could provide an enticing approach not only to identify these biomolecules but also to gain clues regarding their folding state and the occurrence of pathologically lethal misfolded aggregates. We report here a universal strategy to generate a fluorescent fingerprint from biomolecules by employing the pan-selective molecular recognition feature of a cucurbit[7]uril (CB[7]) macrocyclic receptor. We implemented a direct sensing strategy by covalently tethering CB[7] with a library of fluorescent reporters. When CB[7] recognizes the chemical and geometrical features of a biomolecule, it brings the tethered fluorophore into the vicinity, concomitantly reporting the nature of its binding microenvironment through a change in their optical signature. The photophysical properties of the fluorophores allow a multitude of probing modes, while their structural features provide additional binding diversity, generating a distinct fluorescence fingerprint from the biomolecule. We first used this strategy to rapidly discriminate a diverse range of protein analytes. The macrocyclic sensor was then applied to probe conformational changes in the protein structure and identify the formation of oligomeric and fibrillar species from misfolded proteins. Notably, the sensor system allowed us to differentiate between different self-assembled forms of the disease-specific amyloid-ß (Aß) aggregates and segregated them from other generic amyloid structures with a 100% identification accuracy. Ultimately, this sensor system predicted clinically relevant changes by fingerprinting serum samples from a cohort of pregnant women.

Cancer during pregnancy: Factors associated with termination of pregnancy and perinatal outcomes.

BACKGROUND: Cancer during pregnancy is rare (about 1/1000 pregnancies) and its diagnosis raises the question of whether or not to continue the pregnancy. OBJECTIVES: The primary objective of our study was to evaluate associated factors with termination of pregnancy in cases of cancer during pregnancy. Secondary objectives were to evaluate maternal and neonatal outcomes when pregnancy is continued. STUDY DESIGN: We conducted a retrospective, single-center study between January 2009 and December 2019 including 2 groups of patients those who underwent termination of pregnancy and those who continued pregnancy. Patients were distributed in 3 categories breast cancer, blood cancer and other cancers. RESULTS: A total of 71 pregnancies associated with cancer were included. Twenty patients (28.16 %) underwent termination of pregnancy. The median gestational age at diagnosis was significantly earlier in the termination of pregnancy group compared with the ongoing pregnancy group (9 vs 22 weeks, p < 0.01). Blood cancer was more frequent in the termination group 7 (35 %) compared to continuous pregnancy 8 (15.7 %) as other cancers 8 (40 %) in the termination group vs 5 (9,8 %). Conversely breast cancer what was less frequent in the termination group 5 (25 %) vs 38 (74,5 %) (p < 0.01). In the continued pregnancy group, there was a high rate of induced prematurity (35.5 %) and scheduled delivery to optimize maternal oncologic management (78.4 %). CONCLUSION: The rate of termination of pregnancy remains high particularly in case of non-breast cancer and early pregnancy detection. Scheduled preterm birth is frequent when pregnancy is continued in order to optimize of cancer management.

SARS-COV-2 IgG antibody response in pregnant women at delivery.

BACKGROUND: The prevalence of COVID-19 infection during pregnancy is not known. COVIPREG is a prospective French multicenter study to assess the seroprevalence at the time of delivery and the maternal and neonatal impact of COVID-19 infection during pregnancy. In order to study factors associated with poor outcomes after COVID-19 Infection during pregnancy and adapt the sample size of the study, a preliminary assessment of the prevalence of SARS-CoV-2 IgG was planned after 500 inclusions in a one perinatal center of Paris area. OBJECTIVES: To assess the prevalence of SARS-CoV-2 IgG antibody response in pregnant women at the time of delivery during the COVID-19 pandemia. STUDY DESIGN: A prospective observational study at Cochin hospital (Level III maternity). Patients admitted for delivery were offered to participate to the study. Each patient participating to the study was tested for anti-SARS-CoV-2-IgG antibodies using a commercially available ELISA. RESULTS: Among the 529 patients included in the COVIPREG study between April 29 and June 26, 529 were assessed for SARS-CoV-2 IgG antibody response and 25 had a positive test, ie 4.7 % with a confidence interval at 95 % [3.0 %-6.9 %]). CONCLUSIONS: Four months after the beginning of the infection in Paris, the seroprevalence of SARS-CoV-2 IgG in pregnant women at the time of delivery is low. Studies evaluating the impact of COVID-19 infection during pregnancy should take this information in account in order to adapt the sample size.

A snapshot of the Covid-19 pandemic among pregnant women in France.

OBJECTIVE: To describe the course over time of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection in French women from the beginning of the pandemic until mid-April, the risk profile of women with respiratory complications, and short-term pregnancy outcomes. METHODS: We collected a case series of pregnant women with COVID-19 in a research network of 33 French maternity units between March 1 and April 14, 2020. All cases of SARS-CoV-2 infection confirmed by a positive result on real-time reverse transcriptase polymerase chain reaction tests of a nasal sample and/or diagnosed by a computed tomography chest scan were included and analyzed. The primary outcome measures were COVID-19 requiring oxygen (oxygen therapy or noninvasive ventilation) and critical COVID-19 (requiring invasive mechanical ventilation or extracorporeal membrane oxygenation, ECMO). Demographic data, baseline comorbidities, and pregnancy outcomes were also collected. RESULTS: Active cases of COVID-19 increased exponentially during March 1-31, 2020; the numbers fell during April 1-14, after lockdown was imposed on March 17. The shape of the curve of active critical COVID-19 mirrored that of all active cases. By April 14, among the 617 pregnant women with COVID-19, 93 women (15.1 %; 95 %CI 12.3-18.1) had required oxygen therapy and 35 others (5.7 %; 95 %CI 4.0-7.8) had had a critical form of COVID-19. The severity of the disease was associated with age older than 35 years and obesity, as well as preexisting diabetes, previous preeclampsia, and gestational hypertension or preeclampsia. One woman with critical COVID-19 died (0.2 %; 95 %CI 0-0.9). Among the women who gave birth, rates of preterm birth in women with non-severe, oxygen-requiring, and critical COVID-19 were 13/123 (10.6 %), 14/29 (48.3 %), and 23/29 (79.3 %) before 37 weeks and 3/123 (2.4 %), 4/29 (13.8 %), and 14/29 (48.3 %) before 32 weeks, respectively. One neonate (0.5 %; 95 %CI 0.01-2.9) in the critical group died from prematurity. CONCLUSION: COVID-19 can be responsible for significant rates of severe acute, potentially deadly, respiratory distress syndromes. The most vulnerable pregnant women, those with comorbidities, may benefit particularly from prevention measures such as a lockdown.

Does the availability of influenza vaccine at prenatal care visits and of immediate vaccination improve vaccination coverage of pregnant women?

INTRODUCTION: Although vaccination against influenza is recommended for pregnant women in France because it exposes them to a risk of death and severe respiratory complications, their vaccination coverage in 2016 was estimated at 7%. This study's principal objective was to assess the association between the availability of influenza vaccination at prenatal care visits and vaccination coverage. MATERIAL AND METHODS: This multicenter survey took place in 3 Paris-area public hospital (AP-HP) maternity wards (A, B, and C). Only maternity ward A offered the vaccine and vaccination without charge at prenatal visits. Data were collected from parturients during 10 days in January 2017 by a self-administered anonymous questionnaire. RESULTS: Data from 248 women showed overall vaccination coverage of 19.4% (48/248): 35.4% (46/130) in maternity unit A, 2.7% (2/75) in B, and 0% (0/43) in C (P<0.01). After adjustment for socio-demographic characteristics, women at maternity ward A were significantly more likely to be vaccinated than those at B and C (aOR 25.52, 95%CI [5.76-113.10]). Other factors significantly associated with higher vaccination coverage were the mother's French birth (aOR 2.37 CI [1.03-5.46]) and previous influenza vaccination (aOR 3.13, 95%CI [1.25-7.86]). Vaccinated women generally considered they had received adequate information (aOR 4.15 CI [2.10-8.22]), principally from the professional providing their prenatal care. Nonvaccination was attributed to the absence of an offer of vaccination (81.5%), fear of fetal side effects (59.5%), and inadequate information (51.4%). CONCLUSION: Our results show that availability of influenza vaccination, free of charge, at prenatal consultations at the maternity ward increases vaccination coverage significantly.