A Method to screen U.S. environmental biomonitoring data for race/ethnicity and income-related disparity

BACKGROUND: Environmental biomonitoring data provide one way to examine race/ethnicity and income-related exposure disparity and identify potential environmental justice concerns. METHODS: We screened U.S. National Health and Nutrition Examination Survey (NHANES) 2001–2008 biomonitoring data for 228 chemicals for race/ethnicity and income-related disparity. We defined six subgroups by race/ethnicity—Mexican American, non-Hispanic black, non-Hispanic white—and income—Low Income: poverty income ratio (PIR) <2, High Income: PIR ≥ 2. We assessed disparity by comparing the central tendency (geometric mean [GM]) of the biomonitoring concentrations of each subgroup to that of the reference subgroup (non-Hispanic white/High Income), adjusting for multiple comparisons using the Holm-Bonferroni procedure. RESULTS: There were sufficient data to estimate at least one geometric mean ratio (GMR) for 108 chemicals; 37 had at least one GMR statistically different from one. There was evidence of potential environmental justice concern (GMR significantly >1) for 12 chemicals: cotinine; antimony; lead; thallium; 2,4- and 2,5-dichlorophenol; p,p’-dichlorodiphenyldichloroethylene; methyl and propyl paraben; and mono-ethyl, mono-isobutyl, and mono-n-butyl phthalate. There was also evidence of GMR significantly <1 for 25 chemicals (of which 17 were polychlorinated biphenyls). CONCLUSIONS: Although many of our results were consistent with the U.S. literature, findings relevant to environmental justice were novel for dichlorophenols and some metals

Association of mRNA Vaccination With Clinical and Virologic Features of COVID-19 Among US Essential and Frontline Workers

IMPORTANCE: Data on the epidemiology of mild to moderately severe COVID-19 are needed to inform public health guidance. OBJECTIVE: To evaluate associations between 2 or 3 doses of mRNA COVID-19 vaccine and attenuation of symptoms and viral RNA load across SARS-CoV-2 viral lineages. DESIGN, SETTING, AND PARTICIPANTS: A prospective cohort study of essential and frontline workers in Arizona, Florida, Minnesota, Oregon, Texas, and Utah with COVID-19 infection confirmed by reverse transcriptase-polymerase chain reaction testing and lineage classified by whole genome sequencing of specimens self-collected weekly and at COVID-19 illness symptom onset. This analysis was conducted among 1199 participants with SARS-CoV-2 from December 14, 2020, to April 19, 2022, with follow-up until May 9, 2022, reported. EXPOSURES: SARS-CoV-2 lineage (origin strain, Delta variant, Omicron variant) and COVID-19 vaccination status. MAIN OUTCOMES AND MEASURES: Clinical outcomes included presence of symptoms, specific symptoms (including fever or chills), illness duration, and medical care seeking. Virologic outcomes included viral load by quantitative reverse transcriptase-polymerase chain reaction testing along with viral viability. RESULTS: Among 1199 participants with COVID-19 infection (714 [59.5%] women; median age, 41 years), 14.0% were infected with the origin strain, 24.0% with the Delta variant, and 62.0% with the Omicron variant. Participants vaccinated with the second vaccine dose 14 to 149 days before Delta infection were significantly less likely to be symptomatic compared with unvaccinated participants (21/27 [77.8%] vs 74/77 [96.1%]; OR, 0.13 [95% CI, 0-0.6]) and, when symptomatic, those vaccinated with the third dose 7 to 149 days before infection were significantly less likely to report fever or chills (5/13 [38.5%] vs 62/73 [84.9%]; OR, 0.07 [95% CI, 0.0-0.3]) and reported significantly fewer days of symptoms (10.2 vs 16.4; difference, -6.1 [95% CI, -11.8 to -0.4] days). Among those with Omicron infection, the risk of symptomatic infection did not differ significantly for the 2-dose vaccination status vs unvaccinated status and was significantly higher for the 3-dose recipients vs those who were unvaccinated (327/370 [88.4%] vs 85/107 [79.4%]; OR, 2.0 [95% CI, 1.1-3.5]). Among symptomatic Omicron infections, those vaccinated with the third dose 7 to 149 days before infection compared with those who were unvaccinated were significantly less likely to report fever or chills (160/311 [51.5%] vs 64/81 [79.0%]; OR, 0.25 [95% CI, 0.1-0.5]) or seek medical care (45/308 [14.6%] vs 20/81 [24.7%]; OR, 0.45 [95% CI, 0.2-0.9]). Participants with Delta and Omicron infections who received the second dose 14 to 149 days before infection had a significantly lower mean viral load compared with unvaccinated participants (3 vs 4.1 log10 copies/μL; difference, -1.0 [95% CI, -1.7 to -0.2] for Delta and 2.8 vs 3.5 log10 copies/μL, difference, -1.0 [95% CI, -1.7 to -0.3] for Omicron). CONCLUSIONS AND RELEVANCE: In a cohort of US essential and frontline workers with SARS-CoV-2 infections, recent vaccination with 2 or 3 mRNA vaccine doses less than 150 days before infection with Delta or Omicron variants, compared with being unvaccinated, was associated with attenuated symptoms, duration of illness, medical care seeking, or viral load for some comparisons, although the precision and statistical significance of specific estimates varied

Unveiling post-vaccination proteomic signatures in SARS-CoV-2 infection-naïve individuals associated with Omicron breakthrough infections

Given the persistence of the SARS-CoV-2 virus, it is important to understand the proteome associated with breakthrough infections among COVID-19 vaccinated individuals. We conducted a nested case-control study within the frontline worker HEROES-RECOVER cohorts to specify a study population of SARS-CoV-2 infection-naïve participants who had a third dose of COVID-19 origin strain WA-1 monovalent mRNA vaccine from August 2021 to January 2022. We compared serum proteomic profiles for those who subsequently experienced Omicron breakthrough infections with those of matched controls without infections. Our study leveraged proteomics data generated from the SomaScan Platform and adopted a robust feature selection method, elastic net regularized conditional logistic regression with bootstrapping, to identify key proteins. Enrichment analyses were performed to investigate biological pathways. We identified 28 significant proteins out of over 7,000 candidate proteins. Key findings included downregulated chemokines (CXCL2, CXCL3, CCL19, CCL23) and elevated cytokine IL-7 levels in breakthrough cases, with pathway analysis revealing enrichment in chemokine signaling and cytokine-cytokine interaction pathways. Other key proteins, such as LGALS1, HAVCR2, and SELE were upregulated in breakthrough cases. These results reveal potential immune response mechanisms in breakthrough infections, characterized by viral immune evasion and compensatory T-cell regeneration. The identified biomarkers may provide valuable insights for future predictive profiles and therapeutic strategies

1935. COVID-19 mRNA Vaccination Reduces the Occurrence of Post-COVID Conditions in U.S. Children Aged 5-17 Years Following Omicron SARS-CoV-2 Infection, July 2021-September 2022

Abstract Background An estimated 1-3% of children with SARS-CoV-2 infection will develop Post-COVID Conditions (PCC). This study evaluates mRNA COVID-19 vaccine impact on likelihood of PCC in children. Methods A multi-site cohort of children enrolled 7/21/2021-9/1/2022 underwent weekly SARS-CoV-2 screening tests and were surveyed via self- or parental report 12/1/2022-5/31/2023 regarding PCC (defined as ≥1 new or on-going symptoms lasting ≥ 1 month after infection). Multivariable logistic regression was performed to estimate the occurrence of PCC by vaccination status among children aged 5–17 years whose first PCR-confirmed SARS-CoV-2 infection occurred in-study with Omicron variant, who completed the survey >60 days from infection, and who were vaccine age-eligible at time of infection per ACIP recommendations. Vaccination status was categorized as vaccinated (at least primary series completed >14 days before infection) and unvaccinated (no vaccine doses before infection). Vaccination status was verified through vaccine registry and/or medical records. Results Of 622 participants surveyed, 5% (n=28) had PCC (Table 1) and 67% (n=474) were vaccinated (Table 2). Surveys were completed a median (IQR) of 203.7 days (119.0–293.0) after infection. Children with non-Hispanic Black race/ethnicity and good/fair/poor self-rated baseline health were more likely to report PCC. Children aged 12-18 years, Non-Hispanic Asian and White children, those reporting symptomatic SARS-CoV-2 infection, and those with excellent/very good self-rated baseline health were more likely to report vaccination When comparing children with and without PCC symptoms, COVID-19 mRNA vaccination was associated with a decreased likelihood of >1 PCC symptom (aOR 0.66, 95% CI 0.43-0.99), >2 PCC symptoms (aOR 0.52, 95% 0.32-0.83), and respiratory PCC symptoms (aOR 0.53, 95% CI 0.33-0.87) (Table 3). Figure 1.Relative Risk of Post-COVID Conditions among Patients who Received Paxlovid, Ages ≥50 (N=564,303)Figure 2.Relative Risk of Post-COVID Conditions among Patients who Received Paxlovid, Ages 18-49 (N=292,818)Figure 3.Relative Risk of Post-COVID Conditions among Patients who Received Paxlovid, Ages 12-17 (N=17,178) Conclusion In this study, mRNA COVID-19 vaccination appeared to be protective against PCC in children following Omicron SARS-CoV-2 infection. The adjusted ORs correspond to an estimated 34%, 48%, and 47% reduced likelihood of >1, >2, and respiratory PCC symptoms among vaccinated children, respectively. These findings support COVID-19 vaccination for children and may encourage increased pediatric vaccine uptake. Disclosures Lisa Gwynn, MBA, MSPH, Merck: Honorari

2082. Effectiveness of Bivalent mRNA Vaccines in Preventing SARS-CoV-2 Infection Among Children Aged 5-17 years: an Evaluation of Multicenter Prospective Cohorts, United States, September 2022 - January 2023

Abstract Background The bivalent mRNA COVID-19 vaccine booster dose, composed of mRNA from ancestral and Omicron BA.4/BA.5 strains, was recommended for adolescents aged ≥12 years on September 1, 2022, and for children aged 5–11 years on October 12, 2022. However, data demonstrating the effectiveness of bivalent boosters among children and adolescents are limited. During Omicron variant sublineage predominance, September 4, 2022 – February 4, 2023, we conducted a multicenter prospective cohort study at 7 sites in the United States to assess vaccine effectiveness (VE) of bivalent COVID-19 vaccine boosters against laboratory-confirmed SARS-CoV-2 virus infection among children aged 5–17 years. Methods Participants collected weekly nasal swabs, irrespective of symptoms, and at onset of symptoms if present outside of their weekly swab cadence. Vaccination status was captured from periodic surveys (self-report), supplemented with queries from the state immunization information systems, and abstraction of electronic medical records system, when available. All respiratory swabs were tested for SARS-CoV-2 using reverse transcription-polymerase chain reaction. Symptomatic infection was defined as ≥2 COVID-like illness symptoms within 7 days of specimen collection. Cox proportional hazards models were used to estimate hazard ratios of infections comparing participants with receipt of a bivalent booster to participants without (either unvaccinated or received monovalent only), adjusting for age, sex, race/ethnicity, underlying health conditions, prior infection status, geographic site, and local virus prevalence. Results Among 3,331 participants aged 5-17 years, adjusted VE against infection was 51% (95% CI: 29–66%). When stratified by age, adjusted VE was 48% (95% CI: 15-68%) for 5-11 year old participants and 55% (95% CI: 17-76%) for 12-17 year old participants. Against symptomatic infection, adjusted VE among 5-17 year old participants was 51% (95% CI: 14-72%). Conclusion These results demonstrate that the COVID-19 bivalent booster reduces risk of SARS-CoV-2 infection and symptomatic illness among children and adolescents. All eligible children and adolescents should remain up to date with recommended COVID-19 vaccinations. Disclosures Helen Y. Chu, MD, MPH, Abbvie: Advisor/Consultant|Ellume: Advisor/Consultant|Ellume: Grant/Research Support|Merck: Advisor/Consultant|Pfizer: Advisor/Consultant|Vir: Advisor/Consultant Janet A. Englund, MD, Ark Biopharma: Advisor/Consultant|AstraZeneca: Advisor/Consultant|AstraZeneca: Grant/Research Support|GlaxoSmithKline: Grant/Research Support|Meissa Vaccines: Advisor/Consultant|Merck: Grant/Research Support|Moderna: Advisor/Consultant|Moderna: Grant/Research Support|Pfizer: Advisor/Consultant|Pfizer: Grant/Research Support|Sanofi Pasteur: Advisor/Consultant Emily T. Martin, PhD, MPH, Merck: Grant/Research Support Arnold Monto, MD, Roche: Advisor/Consultant|Roche: Honorari