Your browser doesn't support javascript.
Show: 20 | 50 | 100
Results 1 - 10 de 10
Filter
1.
Topics in Antiviral Medicine ; 31(2):317-318, 2023.
Article in English | EMBASE | ID: covidwho-2316334

ABSTRACT

Background: We evaluated SARS-CoV-2 antibody binding and neutralization responses at delivery among pregnant persons with prior SARS-CoV-2 infection by vaccine status. Method(s): We enrolled participants with evidence of prior SARS-CoV-2 infection detected in pregnancy (anti-nucleocapsid [anti-N] IgG+ on enrollment or prior RT-PCR+ or antigen+) and followed them through delivery. Maternal delivery and cord blood samples were tested for SARS-CoV-2 binding antibodies to spike (anti-S) (from vaccination and/or infection) and anti-N (from infection only) IgG by Abbott Architect followed by neutralizing antibodies (classified as neutralizing if serum dilution inhibited infection by 50% [ND50 heat] >=20 and R2 >=0.9) if sample volume allowed. Positive IgG thresholds were Abbott index >=1.4 for anti-N and >=50 AU/mL for anti-S. Chi-squared test was used to compare differences in proportions between groups. Wilcoxon rank sum test was used to compare medians. Result(s): Among 71 participants with delivery and cord samples, median age was 33 years (interquartile range [IQR] 30-35) and median gestational age was 31.7 weeks (IQR 18.0-37.9) at enrollment in pregnancy. By delivery, 17 (24%) participants were unvaccinated, 21 (30%) were partially vaccinated or had completed a primary series, and 33 (46%) were boosted. Median time from infection (RT-PCR+ or antigen+ result) to delivery was 16.7 weeks (IQR 9.7- 24.3). At delivery, 33 (46%) of maternal (median 3.2 index) and 37 (52%) of cord samples (median 3.1 index) were anti-N IgG+. Participants with >=1 vaccine were more likely to be anti-S IgG+ than those unvaccinated (100% vs. 82%, p< 0.01), have higher median anti-S IgG+ (25,000 vs 1,019 AU/ml, p< 0.01), and have neutralizing antibodies (100% vs. 81%, p< 0.01) with higher median log10 neutralization (1:4.00 vs 1:2.41, p< 0.01) at delivery. Similarly, cord blood from participants with >=1 vaccine was more likely to be anti-S IgG+ than those unvaccinated (100% vs. 82%, p< 0.01), have higher median anti-S IgG+ (25,000 vs 1,188 AU/ml, p< 0.01), and have neutralizing antibodies (100% vs. 75%, p< 0.01) with higher median log10 neutralization (1:4.00 vs 1:2.41, p< 0.01) at delivery. Conclusion(s): Among pregnant people with prior SARS-CoV-2 infection detected during pregnancy, maternal and cord blood antibody binding and neutralization responses were higher among those receiving SARS-CoV-2 vaccination prior to delivery. (Table Presented).

2.
Open Forum Infectious Diseases ; 9(Supplement 2):S776, 2022.
Article in English | EMBASE | ID: covidwho-2189967

ABSTRACT

Background. Natural SARS-CoV-2 infection results in anti-nucleocapsid (N) and anti-spike (S) antibody (Ab) development. Anti-S Ab response (conferred by infection and/or vaccination) is more closely associated with protection. We evaluated anti-N/S Ab responses in vaccinated (> 1 dose) and unvaccinated pregnant people with prior SAR-CoV-2 infection. Methods. During January 2021-March 2022, we enrolled participants with SARS-CoV-2 infection identified in pregnancy (26 via anti-N IgG+;52 via prior RT-PCR+). Baseline, 1, 2, 3, 6, and 12 months, and delivery samples were tested for anti-N (index >= 1.4 positive) and anti-S (>= 50 AU/mL positive) IgG Ab by Abbott Architect. Kaplan-Meier methods were used to measure Ab response duration. Results. Among 78 participants, 62 (79%) enrolled in pregnancy (median 27 weeks gestation), and 16 (21%) at delivery/postpartum (median 2 weeks);34 (44%) had received >=1 vaccine prior to initial Ab testing. At baseline, 59 (75%) participants had concordant anti-N/S positive results (median anti-N index 3.58 [IQR 2.01-5.82], median anti-S 5529 AU/ml [IQR 687-25000]). Anti-S IgG was higher (25000 vs 774, p< 0.001) among participants receiving >=1 vaccine vs no vaccine, while anti-N IgG indices were similar. Among 59 participants with initial anti-N IgG+ results, median time to anti-N IgG negative results was 31 weeks after first RT-PCR+ (median 17 weeks after first anti-N IgG+ result). Only 1 (unvaccinated) participant had an anti-S IgG negative result by 22 weeks after first RT-PCR+ result. Among 30 participants with delivery samples (median 16 weeks after RT-PCR+, 12 weeks after baseline anti-N IgG+ samples), 15 (52%) remained anti-N IgG+;29 (97%) remained anti-S IgG+. Anti-S IgG was higher (25000 vs 826 AU/ml, p< 0.001) among participants receiving >= 1 vaccine vs. no vaccine prior to delivery. Conclusion. Among pregnant persons with prior SARS-CoV-2 infection, duration of anti-S IgG response was longer than anti-N IgG irrespective of vaccine status;vaccination during pregnancy was associated with higher anti-S levels at baseline and delivery. While anti-S IgG were detectable for >= 6 months, longer term follow-up is needed to assess durability of hybrid immunity vs. infection alone and has implications for maternal and infant protection.

3.
J Endocr Soc ; 6(Suppl 1):A862-3, 2022.
Article in English | PubMed Central | ID: covidwho-2109242

ABSTRACT

Background: In 2011, Shoenfeld and Agmon-Levin described a distinct clinical entity called the autoimmune/inflammatory syndrome induced by adjuvants (ASIA). Adjuvants are primarily used in vaccines for directing the adaptive immune response. However, adjuvants sometimes trigger undesirable autoimmune effects, especially in genetically predisposed individuals such as those with DRB1 allele mutations. The mRNA vaccine may exert "self-adjuvant" properties through activation of tumor necrosis factor, interferon-alpha and other cytokines secreted by immune cells or cross reactivity of mRNA targeting CoV-2 spike protein with thyroid tissue antigens. With the recent widespread use of SARS-CoV-2 mRNA vaccine, cases of vaccine associated thyroid disorders are becoming more apparent. Case Summary: A 45-year-old male with well controlled hypertension and type 2 diabetes mellitus was evaluated for abnormal thyroid function tests with a TSH of 0.078 uIU/mL and Free T4 of 2.17 ng/dl. He reported a history of Hashimoto's chronic thyroiditis. He received the second dose of mRNA COVID-19 vaccine one month prior to presentation. He denied any change in the size of his thyroid gland. He also reported no local neck symptoms, dysphagia, odynophagia or change in voice. A nuclear thyroid uptake and scan showed mildly asymmetric thyroid lobes with markedly decreased 24-hour uptake of 0.7%. Based on his clinical presentation, labs and nuclear imaging he was diagnosed with painless thyroiditis. His thyroid function normalized to a TSH of 0.96uIU/ml and Free T4 of 1.29 ng/dl within 2 months without any intervention. There is a strong possibility that the SARS-CoV-2 vaccine accentuated his underlying Hashimoto's chronic thyroiditis enough to cause this transient episode of painless thyroiditis, particularly considering the close interval between the vaccine and onset of his thyroid abnormalities. Conclusion: Autoimmune thyroid abnormalities induced by vaccines have been historically associated with protein vaccines for protection from HPV, HBV, seasonal influenza, etc. The spectrum of these disorders can potentially manifest as a transient side effect or even years later with non-specific findings. The SARS-CoV-2 mRNA vaccine may incite similar immunogenicity though yet unestablished, and physicians should be mindful of this phenomenon. Due to limited data, more rigorous studies are needed to fully understand the underlying pathogenesis of thyroiditis following SARS-CoV-2 vaccine in future. As there have been minimal cases of thyroiditis reported, SARS-CoV-2 vaccine should still be strongly recommended. References: Bragazzi NL, Hejly A, Watad A, Adawi M, Amital H, Shoenfeld Y. ASIA syndrome and endocrine autoimmune disorders. Best Pract Res Clin Endocrinol Metab. 2020 Jan;34(1): 101412. doi: 10.1016/j.beem.2020.101412. Epub 2020 Mar 11. PMID: 32265102.Watad A, David P, Brown S, Shoenfeld Y. Autoimmune/Inflammatory Syndrome Induced by Adjuvants and Thyroid Autoimmunity. Front Endocrinol (Lausanne). 2017 Jan 24;7: 150. doi: 10.3389/fendo.2016.00150. PMID: 28167927;PMCID: PMC5256113.Presentation: Saturday, June 11, 2022 1:00 p.m. - 3:00 p.m., Monday, June 13, 2022 1:12 p.m. - 1:17 p.m.

4.
Innovation in Aging ; 5:310-310, 2021.
Article in English | Web of Science | ID: covidwho-2012047
5.
Topics in Antiviral Medicine ; 30(1 SUPPL):265-266, 2022.
Article in English | EMBASE | ID: covidwho-1880485

ABSTRACT

Background: Longitudinal assessment of SARS-CoV-2 antibody (Ab) response during pregnancy after infection and transplacental transfer may inform durability of maternally derived Ab for mothers and infants. Methods: Between October 2020-September 2021, pregnant people testing SARS-CoV-2 IgG positive by Abbott Architect chemiluminescent immunoassay (CMIA) for anti-nucleocapsid (N) antibody (semi-quantitative index ≥1.4 considered IgG+) during pregnancy or delivery in a seroprevalence study, or identified with RT-PCR+ results via medical records, were invited to enroll in a longitudinal evaluation of maternal Ab responses and transplacental transfer. Maternal blood collected at 1, 2, 3, and 6 months after enrollment and maternal and cord blood collected at delivery were tested with the same assay. Results: Among 40 participants testing IgG+ for anti-N, 31 (78%) had a prior RT-PCR+ result. Median age was 32 years (IQR 29-35);27 (68%) enrolled during pregnancy at median 18 weeks gestation (IQR 13-33), while 13 (33%) enrolled at delivery or early postpartum. Median Abbott index was 3.06 (IQR 1.96-5.74) at first IgG+ result obtained at a median of 9 weeks (IQR 4-16) after RT-PCR+ result, for those with a known RT-PCR. Among 23 participants with ≥2 samples, 50% had IgG results below positivity threshold at median 17 weeks (IQR 12-28) after first IgG+ result (Figure). Seventeen mother-infant pairs had delivery samples collected at median 66 days (IQR 60-71 days) from maternal RT-PCR+ result. Six (35%) maternal samples remained IgG+ (median Abbott index 2.97 [IQR 2.35-7.01]) at delivery (gestational age 30-40 weeks) with all 6 paired cord sera testing IgG+ (median Abbott index 4.30 [IQR 2.93-7.22]). Median placental transfer ratio of maternally derived IgG Abs based on a positive Abbott index was 1.13 (95%CI 0.98-1.30) among mothers with samples remaining IgG+ at delivery. Conclusion: Within 4 months after first IgG+ result primarily in second trimester, about half of pregnant persons had SARS-CoV-2 IgG anti-N Ab levels below the Abbott CMIA positive threshold. Among evaluable mother-infant pairs, two-thirds of mothers no longer tested anti-N IgG+ at delivery. Transplacental transfer of maternal antibodies was confirmed in all infants born to mothers with samples remaining IgG+ at delivery. Durability of maternal SARS-CoV-2 Ab response and transplacental transfer following infection has implications for maternal and neonatal susceptibility to SARS-CoV-2 infection.

6.
Cleft Palate-Craniofacial Journal ; 59(4 SUPPL):91, 2022.
Article in English | EMBASE | ID: covidwho-1868935

ABSTRACT

Background/Purpose: The craniofacial team meeting represents a critical timepoint at which a diverse group of disciplines assemble in quorum to discuss the complex medical and psychosocial issues facing their patients and create treatment plans to address them. Professionals from not only different disciplines but from entirely different fields must efficiently amalgamate their expertise to create one intricate plan for their unique patient population. It is this diversity of disciplines represented and the complexity of subject matter that makes craniofacial team meetings ideal for studying team functioning during multidisciplinary meetings. The global pandemic necessitated a shift of these complex meetings to the virtual setting. While providing direct patient care (i.e. tele-health) has been studied extensively, the literature on virtual team meetings is lacking. The authors of this study evaluated the team functioning of one craniofacial team by studying their virtual team meetings. Methods/Description: Ten virtual team meetings, including 94 patient case discussions, from a 3-month period in late 2020 were recorded and scored individually by three members of the research team using modified versions of the standardized multidisciplinary team Meeting Observational Tool (MOT) and the Metric of Decision-Making (MODe). The mean score amongst the three observers for each category of team functioning was used for analysis. Participants' subjective assessments of team meetings were elicited through monthly Qualtrics surveys. Results: Our results indicate that team functioning during virtual team meetings was high for providing case history, exhibiting optimal team behavior, and providing a treatment plan for individual case discussions. Patient-centered and psychosocial categories received lower scores. Survey respondents generally regarded their team as highly functioning during team meetings, with lower marks given only for decision-making efficiency and full participation from all disciplines. The meeting technology and equipment received a high score on average. Additionally, participants indicated that the virtual format did not enhance or hinder team functioning during team meetings. Conclusions: Amidst the ongoing COVID-19 pandemic it is important to study the effectiveness of multidisciplinary team meetings held in a virtual format. Our findings suggest that virtual setting allows for high team functioning as measured by both objective and subjective assessments and should therefore be considered a viable alternative to in-person meetings. The team performed best in discussing clinical topics, generating treatment plans, and team behavior, including equality among disciplines. Psychosocial matters and patient perspectives were not discussed as extensively as clinical topics and the team overestimated their coverage of both psychosocial matters and patient perspectives, consistent with previous studies on team functioning.

7.
Geographical Review ; 111(4):592-615, 2021.
Article in English | GIM | ID: covidwho-1747099

ABSTRACT

The uneven outcomes of the Covid-19 pandemic in the United States can be characterized by its patchwork patterns. Given a weak national coordinated response, state-level decisions offer an important frame for analysis. This article explores how such analysis invokes fundamental geographic challenges related to the modified a real unit problem, and results in scientific predictive models that behave differently in different states. We examined morbidity with respect to state-level policy decisions, by comparing the fit and significance of different types of predictive modeling using data from the first wave of 2020. Our research reflects upon public health literature, mathematical modeling, and geographic approaches in the wake of the underlying complex pattern of drivers, decisions, and their impact on public health outcomes state by state time line. Contemplating these findings, we discuss the need to improve integration of fundamental geographic concepts to creatively develop modeling and interpretations across disciplines that offer value for both informing and holding accountable decision makers of the jurisdictions in which we live.

8.
Open Forum Infectious Diseases ; 8(SUPPL 1):S345, 2021.
Article in English | EMBASE | ID: covidwho-1746508

ABSTRACT

Background. Antenatal care is a unique opportunity to assess SARS-CoV-2 seroprevalence and antibody response in pregnant people, including those with previously unknown infection. Methods. Pregnant people were screened for SARS-CoV-2 IgG during antenatal care or delivery in Seattle, Washington with Abbott Architect chemiluminescent immunoassay which provides quantitative index (positive ≥1.4). Participants with IgG+ results or identified with RT-PCR+ results via medical records were invited to enroll in a longitudinal evaluation of antibody responses. We report preliminary results of an ongoing seroprevalence and longitudinal study with planned 18-month follow-up. Results. Between September 9, 2020-May 7, 2021, we screened 1304 pregnant people;62 (4.8%) tested SARS-CoV-2 IgG+, including 28 (45%) with known prior SARS-CoV-2 infection. Among participants testing IgG+, median age was 32 years (interquartile range [IQR] 26-35) and median gestational age was 21 weeks (IQR 12-38) at screening;median IgG index was 3.2 (IQR 2.1-4.9, range 1.4-9.9), including 3.9 (IQR 2.3-5.8) among those with vs. 2.7 (IQR 1.9-4.2) among those without prior RT-PCR+ results (p=0.05 by Wilcoxon rank-sum). Of 30 longitudinal study participants enrolled, 24 tested IgG+ at baseline (75% with prior RT-PCR+ result) and 6 tested IgG- on enrollment but were identified as previously RT-PCR+ via medical records;24/30 (80%) reported previous symptoms. Of 24 participants testing IgG+ at baseline, 14 (58%) had first follow-up IgG results at median of 66 days (IQR 42-104) since initial testing, with median IgG index of 2.0 (IQR 1.0-3.8). 9/14 (64%) participants with repeat IgG testing remained IgG+ at first follow-up (≤280 days after first RT-PCR+ result for those with and ≥104 days after first IgG detection for those without prior RT-PCR+ results), while 5/14 (26%) had a negative Abbott IgG test at a median of 81 days (IQR 75-112) since initial testing. Conclusion. Nearly half of pregnant people testing SARS-CoV-2 IgG+ reported no known prior SARS-CoV-2 diagnosis or symptoms. SARS-CoV-2 IgG antibody response and durability in pregnancy has implications for maternal and neonatal protection and susceptibility and highlights potential benefits of vaccination in this population.

9.
Geographical Review ; : 24, 2021.
Article in English | Web of Science | ID: covidwho-1349703

ABSTRACT

The uneven outcomes of the covid-19 pandemic in the United States can be characterized by its patchwork patterns. Given a weak national coordinated response, state-level decisions offer an important frame for analysis. This article explores how such analysis invokes fundamental geographic challenges related to the modified areal unit problem, and results in scientific predictive models that behave differently in different states. We examined morbidity with respect to state-level policy decisions, by comparing the fit and significance of different types of predictive modeling using data from the first wave of 2020. Our research reflects upon public health literature, mathematical modeling, and geographic approaches in the wake of the underlying complex pattern of drivers, decisions, and their impact on public health outcomes state by statetime line. Contemplating these findings, we discuss the need to improve integration of fundamental geographic concepts to creatively develop modeling and interpretations across disciplines that offer value for both informing and holding accountable decision makers of the jurisdictions in which we live. Keywords: Accountability, covid-19, decision-making, modeling, patchwork.

10.
Environmental Reviews ; 29(2):111-118, 2021.
Article in English | Scopus | ID: covidwho-1280462

ABSTRACT

Public health and safety concerns around the SARS-CoV-2 novel coronavirus and the COVID-19 pandemic have greatly changed human behaviour. Such shifts in behaviours, including travel patterns, consumerism, and energy use, are variously impacting biodiversity during the human-dominated geological epoch known as the Anthropocene. Indeed, the dramatic reduction in human mobility and activity has been termed the “Anthropause”. COVID-19 has highlighted the current environmental and biodiversity crisis and has provided an opportunity to redefine our relationship with nature. Here we share 10 considerations for conservation policy makers to support and rethink the development of impactful and effective policies in light of the COVID-19 pandemic. There are opportunities to leverage societal changes as a result of COVID-19, focus on the need for collaboration and engagement, and address lessons learned through the development of policies (including those related to public health) during the pandemic. The pandemic has had devastating impacts on humanity that should not be understated, but it is also a warning that we need to redefine our relationship with nature and restore biodiversity. The considerations presented here will support the development of robust, evidence-based, and transformative policies for biodiversity conservation in a post-COVID-19 world. © 2021, Canadian Science Publishing. All rights reserved.

SELECTION OF CITATIONS
SEARCH DETAIL