Background: While vaccines have established utility against COVID-19, phase 3 efficacy studies have generally not comprehensively evaluated protection provided by previous infection or hybrid immunity (previous infection plus vaccination). Individual patient data from US government-supported harmonized vaccine trials provide an unprecedented sample population to address this issue. We characterized the protective efficacy of previous SARS-CoV-2 infection and hybrid immunity against COVID-19 early in the pandemic over three-to six-month follow-up and compared with vaccine-associated protection. Methods: In this post-hoc cross-protocol analysis of the Moderna, AstraZeneca, Janssen, and Novavax COVID-19 vaccine clinical trials, we allocated participants into four groups based on previous-infection status at enrolment and treatment: no previous infection/placebo; previous infection/placebo; no previous infection/vaccine; and previous infection/vaccine. The main outcome was RT-PCR-confirmed COVID-19 >7–15 days (per original protocols) after final study injection. We calculated crude and adjusted efficacy measures. Findings: Previous infection/placebo participants had a 92% decreased risk of future COVID-19 compared to no previous infection/placebo participants (overall hazard ratio [HR] ratio: 0.08; 95% CI: 0.05–0.13). Among single-dose Janssen participants, hybrid immunity conferred greater protection than vaccine alone (HR: 0.03; 95% CI: 0.01–0.10). Too few infections were observed to draw statistical inferences comparing hybrid immunity to vaccine alone for other trials. Vaccination, previous infection, and hybrid immunity all provided near-complete protection against severe disease. Interpretation: Previous infection, any hybrid immunity, and two-dose vaccination all provided substantial protection against symptomatic and severe COVID-19 through the early Delta period. Thus, as a surrogate for natural infection, vaccination remains the safest approach to protection. Funding: National Institutes of Health.
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Christina E Parisi;
Kimberly Yousey-Hindes;
Rachel Holstein;
Alissa O'Halloran;
Pam Dailey Kirley;
Nisha B Alden;
Evan Anderson;
Sue Kim;
Melissa McMahon;
Sarah A Khanlian;
Nancy Spina;
Maria A Gaitan;
Eli Shiltz;
Ann Thomas;
William Schaffner;
Keipp Talbot;
Melanie T Crossland;
Robert L Cook;
Shikha Garg;
James Meek;
James Hadler
Background: Influenza is a persistent public health problem associated with severe morbidity and mortality. Drug use is related to myriad health complications, but the relationship between drug use and severe influenza outcomes is not well understood. The study objective was to evaluate the relationship between drug use and severe influenza-associated outcomes. Methods: Data were collected by the Influenza Hospitalization Surveillance Network (FluSurv-NET) from the 2016–2017 through 2018–2019 influenza seasons. Among persons hospitalized with influenza, descriptive statistics and logistic regression models were used to analyze differences in demographic characteristics, risk and behavioral factors, and severe outcomes (intensive care unit [ICU] admission, mechanical ventilation, or death) between people who use drugs (PWUD), defined as having documented drug use within the past year, and non-PWUD. Results: Among 48,430 eligible hospitalized influenza cases, 2019 were PWUD and 46,411 were non-PWUD. PWUD were younger than non-PWUD and more likely to be male, non-Hispanic Black or Hispanic/Latino, smoke tobacco, abuse alcohol, and have chronic conditions including asthma, chronic liver disease, chronic lung disease, or immunosuppressive conditions. PWUD had greater odds of ICU admission and mechanical ventilation, but not death compared with non-PWUD; however, these findings were not statistically significant after adjustment. Opioid use specifically was associated with increased risk of ICU admission and mechanical ventilation. Conclusion: These results support targeted initiatives to prevent influenza in this population, including influenza vaccination, which remains one of the most important tools to prevent influenza infection and associated severe outcomes.
Background: Nucleocapsid antigenemia in adults has demonstrated high sensitivity and specificity for acute infection, and antigen burden is associated with disease severity. Data regarding SARS-CoV-2 antigenemia in children are limited. Methods: We retrospectively analyzed blood plasma specimens from hospitalized children with COVID-19 or MIS-C. Nucleocapsid and spike were measured using ultrasensitive immunoassays. Results: We detected nucleocapsid antigenemia in 62% (50/81) and spike antigenemia in 27% (21/79) of children with acute COVID-19 but 0% (0/26) and 15% (4/26) with MIS-C from March 2020-March 2021. Higher nucleocapsid levels were associated with radiographic infiltrates and respiratory symptoms in children with COVID-19. Conclusions: Antigenemia lacks the sensitivity to diagnose acute infection in children but is associated with signs and symptoms of lower respiratory tract involvement. Further study into the mechanism of antigenemia, its association with specific organ involvement, and the role of antigenemia in the pathogenesis of COVID-19 is warranted.
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Jeffrey Lennox;
Mark Mulligan;
Monica Farley;
Nadine Rouphael;
Lilly Immergluck;
David Stephens;
Evan Anderson;
Daniel Graciaa;
Satoshi Kamidani;
Christina Rostad;
Cassie Grimsley Ackerley;
Erica Johnson;
AR Branche;
DJ Diemert;
AR Falsey;
C Losada;
LR Baden;
SE Frey;
JA Whitaker;
SJ Little;
EB Walter;
RM Novak;
R Rupp;
LA Jackson;
TM Babu;
AC Kottkamp;
AF Luetkemeyer;
RM Presti;
M Bäcker;
PL Winokur;
SM Mahgoub;
PA Goepfert;
DN Fusco;
E Malkin;
JM Bethony;
EE Walsh;
H Samaha;
AC Sherman;
SR Walsh;
G Abate;
Z Oikonomopoulou;
HM El Sahly;
TCS Martin;
MJ Smith;
BG Ladner;
L Porterfield;
M Dunstan;
A Wald;
T Davis;
RL Atmar;
KE Lyke;
CM Posavad;
MA Meagher;
KM Neuzil;
K Abebe;
H Hill;
J Albert;
K Telu;
J Mu;
TC Lewis;
LA Giebeig;
A Eaton;
A Netzl;
SH Wilks;
S Türeli;
M Makhene;
S Crandon;
DC Montefiori;
M Makowski;
DJ Smith;
SU Nayak;
PC Roberts;
JH Beigel;
E Walsh;
P Kingsley;
K Steinmetz;
M Peasley;
CG Ackerley;
KE Unterberger;
A Desrosiers;
M Siegel;
A Tong;
R Rooks;
DF Hoft;
I Graham;
WA Keitel;
CM Healy;
N Carter;
S Hendrickx;
E Peters;
L Nolan;
MA Moody;
KE Schmader;
A Wendrow;
J Herrick;
R Lau;
B Carste;
T Krause;
K Hauge;
C Engelson;
V Soma;
C Harris;
AM Lopez
Vaccine protection against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection wanes over time, requiring updated boosters. In a phase 2, open-label, randomized clinical trial with sequentially enrolled stages at 22 US sites, we assessed safety and immunogenicity of a second boost with monovalent or bivalent variant vaccines from mRNA and protein-based platforms targeting wild-type, Beta, Delta and Omicron BA.1 spike antigens. The primary outcome was pseudovirus neutralization titers at 50% inhibitory dilution (ID50 titers) with 95% confidence intervals against different SARS-CoV-2 strains. The secondary outcome assessed safety by solicited local and systemic adverse events (AEs), unsolicited AEs, serious AEs and AEs of special interest. Boosting with prototype/wild-type vaccines produced numerically lower ID50 titers than any variant-containing vaccine against all variants. Conversely, boosting with a variant vaccine excluding prototype was not associated with decreased neutralization against D614G. Omicron BA.1 or Beta monovalent vaccines were nearly equivalent to Omicron BA.1 + prototype or Beta + prototype bivalent vaccines for neutralization of Beta, Omicron BA.1 and Omicron BA.4/5, although they were lower for contemporaneous Omicron subvariants. Safety was similar across arms and stages and comparable to previous reports. Our study shows that updated vaccines targeting Beta or Omicron BA.1 provide broadly crossprotective neutralizing antibody responses against diverse SARS-CoV-2 variants without sacrificing immunity to the ancestral strain. ClinicalTrials.gov registration: NCT05289037 .
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Fiona Havers;
Huong Pham;
Christopher A Taylor;
Michael Whitaker;
Kadam Patel;
Onika Anglin;
Anita K Kambhampati;
Jennifer Milucky;
Elizabeth Zell;
Heidi L Moline;
Shua J Chai;
Pam Daily Kirley;
Nisha B Alden;
Isaac Armistead;
Kimberly Yousey-Hindes;
James Meek;
Kyle P Openo;
Evan Anderson;
Libby Reeg;
Alexander Kohrman;
Ruth Lynfield;
Kathryn Como-Sabetti;
Elizabeth M Davis;
Cory Cline;
Alison Muse;
Grant Barney;
Sophrena Bushey;
Christina B Felsen;
Laurie M Billing;
Eli Shiltz;
Melissa Sutton;
Nasreen Abdullah;
Keipp H Talbot;
William Schaffner;
Mary Hill;
Andrea George;
Aron J Hall;
Stephanie R Bialek;
Neil C Murthy;
Bhavini P Murthy;
Meredith McMorrow
Importance: Understanding risk factors for hospitalization in vaccinated persons and the association of COVID-19 vaccines with hospitalization rates is critical for public health efforts to control COVID-19. Objective: To determine characteristics of COVID-19-Associated hospitalizations among vaccinated persons and comparative hospitalization rates in unvaccinated and vaccinated persons. Design, Setting, and Participants: From January 1, 2021, to April 30, 2022, patients 18 years or older with laboratory-confirmed SARS-CoV-2 infection were identified from more than 250 hospitals in the population-based COVID-19-Associated Hospitalization Surveillance Network. State immunization information system data were linked to cases, and the vaccination coverage data of the defined catchment population were used to compare hospitalization rates in unvaccinated and vaccinated individuals. Vaccinated and unvaccinated patient characteristics were compared in a representative sample with detailed medical record review; unweighted case counts and weighted percentages were calculated. Exposures: Laboratory-confirmed COVID-19-Associated hospitalization, defined as a positive SARS-CoV-2 test result within 14 days before or during hospitalization. Main Outcomes and Measures: COVID-19-Associated hospitalization rates among vaccinated vs unvaccinated persons and factors associated with COVID-19-Associated hospitalization in vaccinated persons were assessed. Results: Using representative data from 192509 hospitalizations (see Table 1 for demographic information), monthly COVID-19-Associated hospitalization rates ranged from 3.5 times to 17.7 times higher in unvaccinated persons than vaccinated persons regardless of booster dose status. From January to April 2022, when the Omicron variant was predominant, hospitalization rates were 10.5 times higher in unvaccinated persons and 2.5 times higher in vaccinated persons with no booster dose, respectively, compared with those who had received a booster dose. Among sampled cases, vaccinated hospitalized patients with COVID-19 were older than those who were unvaccinated (median [IQR] age, 70 [58-80] years vs 58 [46-70] years, respectively; P <.001) and more likely to have 3 or more underlying medical conditions (1926 [77.8%] vs 4124 [51.6%], respectively; P <.001). Conclusions and Relevance: In this cross-sectional study of US adults hospitalized with COVID-19, unvaccinated adults were more likely to be hospitalized compared with vaccinated adults; hospitalization rates were lowest in those who had received a booster dose. Hospitalized vaccinated persons were older and more likely to have 3 or more underlying medical conditions and be long-Term care facility residents compared with hospitalized unvaccinated persons. The study results suggest that clinicians and public health practitioners should continue to promote vaccination with all recommended doses for eligible persons.
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Johannes B. Goll;
Steven E. Bosinger;
Travis L. Jensen;
Hasse Walum;
Tyler Grimes;
Gregory K. Tharp;
Muktha S Natrajan;
Azra Blazevic;
Richard D. Head;
Casey E. Gelber;
Kristen J. Steenbergen;
Nirav B. Patel;
Patrick Sanz;
Nadine Rouphael;
Evan Anderson;
Mark Mulligan;
Daniel F. Hoft
In the published article, there was an error in the Figure 7 legend as published. The figure legend effect size values were incorrectly displayed as “>1.25, 51.5, 51.75, 52” instead of “>1.25, ≥1.5, ≥1.75, ≥2”. The corrected Figure 7 and its caption appear below. The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way. The original article has been updated.
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Johannes B. Goll;
Steven Bosinger;
Travis L. Jensen;
Hasse Walum;
Tyler Grimes;
Gregory K. Tharp;
Muktha S. Natrajan;
Azra Blazevic;
Richard D. Head;
Casey E. Gelber;
Kristen J. Steenbergen;
Nirav B. Patel;
Patrick Sanz;
Nadine Rouphael;
Evan Anderson;
Mark Mulligan;
Daniel F. Hoft
Introduction: Over the last decade, the field of systems vaccinology has emerged, in which high throughput transcriptomics and other omics assays are used to probe changes of the innate and adaptive immune system in response to vaccination. The goal of this study was to benchmark key technical and analytical parameters of RNA sequencing (RNA-seq) in the context of a multi-site, double-blind randomized vaccine clinical trial. Methods: We collected longitudinal peripheral blood mononuclear cell (PBMC) samples from 10 subjects before and after vaccination with a live attenuated Francisella tularensis vaccine and performed RNA-Seq at two different sites using aliquots from the same sample to generate two replicate datasets (5 time points for 50 samples each). We evaluated the impact of (i) filtering lowly-expressed genes, (ii) using external RNA controls, (iii) fold change and false discovery rate (FDR) filtering, (iv) read length, and (v) sequencing depth on differential expressed genes (DEGs) concordance between replicate datasets. Using synthetic mRNA spike-ins, we developed a method for empirically establishing minimal read-count thresholds for maintaining fold change accuracy on a per-experiment basis. We defined a reference PBMC transcriptome by pooling sequence data and established the impact of sequencing depth and gene filtering on transcriptome representation. Lastly, we modeled statistical power to detect DEGs for a range of sample sizes, effect sizes, and sequencing depths. Results and Discussion: Our results showed that (i) filtering lowly-expressed genes is recommended to improve fold-change accuracy and inter-site agreement, if possible guided by mRNA spike-ins (ii) read length did not have a major impact on DEG detection, (iii) applying fold-change cutoffs for DEG detection reduced inter-set agreement and should be used with caution, if at all, (iv) reduction in sequencing depth had a minimal impact on statistical power but reduced the identifiable fraction of the PBMC transcriptome, (v) after sample size, effect size (i.e. the magnitude of fold change) was the most important driver of statistical power to detect DEG. The results from this study provide RNA sequencing benchmarks and guidelines for planning future similar vaccine studies.
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) subgenomic RNA (sgRNA) may indicate actively replicating virus, but sgRNA abundance has not been systematically compared between SARS-CoV-2 variants. sgRNA was quantified in 169 clinical samples by real-time reverse-transcription polymerase chain reaction, demonstrating similar relative abundance among known variants. Thus, sgRNA detection can identify individuals with active viral replication regardless of variant.
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Kirsten E. Lyke;
Robert L. Atmar;
Clara Dominguez Islas;
Christine M. Posavad;
Meagan E. Deming;
Angela R. Branche;
Christine Johnston;
Hana M. El Sahly;
Srilatha Edupuganti;
Mark Mulligan;
Lisa A. Jackson;
Richard E. Rupp;
Christina Rostad;
Rhea N. Coler;
Martin Bäcker;
Angelica C. Kottkamp;
Tara M. Babu;
David Dobrzynski;
Judith M. Martin;
Rebecca C. Brady;
Robert W. Frenck;
Kumaravel Rajakumar;
Karen Kotloff;
Nadine Rouphael;
Daniel Szydlo;
Rahul PaulChoudhury;
Janet I. Archer;
Sonja Crandon;
Brian Ingersoll;
Amanda Eaton;
Elizabeth R. Brown;
M. Juliana McElrath;
Kathleen M. Neuzil;
David Stephens;
Diane J. Post;
Bob C. Lin;
Leonid Serebryannyy;
John H. Beigel;
David C. Montefiori;
Paul C. Roberts;
Evan Anderson;
Daniel Graciaa;
Mehul Suthar
As part of a multicenter study evaluating homologous and heterologous COVID-19 booster vaccines, we assessed the magnitude, breadth, and short-term durability of binding and pseudovirus-neutralizing antibody (PsVNA) responses following a single booster dose of NVX-CoV2373 in adults primed with either Ad26.COV2.S, mRNA-1273, or BNT162b2 vaccines. NVX-CoV2373 as a heterologous booster was immunogenic and associated with no safety concerns through Day 91. Fold-rises in PsVNA titers from baseline (Day 1) to Day 29 were highest for prototypic D614G variant and lowest for more recent Omicron sub-lineages BQ.1.1 and XBB.1. Peak humoral responses against all SARS-CoV-2 variants were lower in those primed with Ad26.COV2.S than with mRNA vaccines. Prior SARS CoV-2 infection was associated with substantially higher baseline PsVNA titers, which remained elevated relative to previously uninfected participants through Day 91. These data support the use of heterologous protein-based booster vaccines as an acceptable alternative to mRNA or adenoviral-based COVID-19 booster vaccines. This trial was conducted under ClinicalTrials.gov: NCT04889209.
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Sneh L Gupta;
Grace Mantus;
Kelly E Manning;
Madison Ellis;
Mit Patel;
Caroline R Ciric;
Austin Lu;
Jackson S Turner;
Jane A O'Halloran;
Rachel M Presti;
Devyani Jaideep Joshi;
Ali H Ellebedy;
Evan Anderson;
Christina Rostad;
Mehul Suthar;
Jens Wrammert
Emerging variants, especially the recent Omicron variant, and gaps in vaccine coverage threaten mRNA vaccine mediated protection against SARS-CoV-2. While children have been relatively spared by the ongoing pandemic, increasing case numbers and hospitalizations are now evident among children. Thus, it is essential to better understand the magnitude and breadth of vaccine-induced immunity in children against circulating viral variant of concerns (VOCs). Here, we compared the magnitude and breadth of humoral immune responses in adolescents and adults 1 month after the two-dose Pfizer (BNT162b2) vaccination. We found that adolescents (aged 11 to 16) demonstrated more robust binding antibody and neutralization responses against the wild-type SARS-CoV-2 virus spike protein contained in the vaccine compared to adults (aged 27 to 55). The quality of the antibody responses against VOCs in adolescents were very similar to adults, with modest changes in binding and neutralization of Beta, Gamma, and Delta variants. In comparison, a significant reduction of binding titers and a striking lack of neutralization was observed against the newly emerging Omicron variant for both adolescents and adults. Overall, our data show that a two-dose BNT162b2 vaccine series may be insufficient to protect against the Omicron variant. IMPORTANCE While plasma binding and neutralizing antibody responses have been reported for cohorts of infected and vaccinated adults, much less is known about the vaccine-induced antibody responses to variants including Omicron in children. This illustrates the need to characterize vaccine efficacy in key vulnerable populations. A third (booster) dose of BNTb162b was approved for children 12 to 15 years of age by the Food and Drug Administration (FDA) on January 1, 2022, and pediatric clinical trials are under way to evaluate the safety, immunogenicity, and effectiveness of a third dose in younger children. Similarly, variant-specific booster doses and pan-coronavirus vaccines are areas of active research. Our data show adolescents mounted stronger humoral immune responses after vaccination than adults. It also highlights the need for future studies of antibody durability in adolescents and children as well as the need for future studies of booster vaccination and their efficacy against the Omicron variant.