Evidence map›Paper›PMID 36853602›Full record

ArticleJAMA network open2023

Acute and Postacute COVID-19 Outcomes Among Immunologically Naive Adults During Delta vs Omicron Waves.

Margaret K Doll, Alpana Waghmare, Antje Heit, Brianna Levenson Shakoor, Louise E Kimball, Nina Ozbek, Rachel L Blazevic, Larry Mose, Jim Boonyaratanakornkit, Terry L Stevens-Ayers and 12 more

Open access · goldAbstract read
In one paragraph

Article in JAMA network open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
4.3field-weighted citation impact, top 5% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 21 citations in OpenAlex.

  1. Trial
  2. Trends in long COVID among US adults, 2022-2024.Frontiers in public health · 2026
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

22 authors at 7 institutions in 1 country.

Margaret K DollDepartment of Population Health Sciences, Albany College of Pharmacy & Health Sciences, Albany, New York.
Alpana WaghmareDivision of Infectious Diseases, Department of Pediatrics, University of Washington, Seattle.
Antje HeitAmazon, Seattle, Washington.
Brianna Levenson ShakoorCenter for Infectious Disease and Vaccine Research, La Jolla Institute for Immunology, La Jolla, California.
Louise E KimballVaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, Washington.
Nina OzbekVaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, Washington.
Rachel L BlazevicVaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, Washington.
Larry MoseVaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, Washington.
Jim BoonyaratanakornkitVaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, Washington.
Terry L Stevens-AyersVaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, Washington.
Kevin CornellSt Luke's Medical Center, Ketchum, Idaho.
Benjamin D SheppardSt Luke's Medical Center, Ketchum, Idaho.
Emma HampsonSt Luke's Medical Center, Ketchum, Idaho.
Faria SharminDepartment of Population Health Sciences, Albany College of Pharmacy & Health Sciences, Albany, New York.
Benjamin GoodwinCenter for Infectious Disease and Vaccine Research, La Jolla Institute for Immunology, La Jolla, California.
Jennifer M DanCenter for Infectious Disease and Vaccine Research, La Jolla Institute for Immunology, La Jolla, California.
Tom ArchieSt Luke's Medical Center, Ketchum, Idaho.
Terry O'ConnorSt Luke's Medical Center, Ketchum, Idaho.
David HeckermanAmazon, Seattle, Washington.
Frank SchmitzAmazon, Seattle, Washington.
Michael BoeckhVaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, Washington.
Shane CrottyCenter for Infectious Disease and Vaccine Research, La Jolla Institute for Immunology, La Jolla, California.
Fred Hutch Cancer Center · USSt. Luke's Hospital · USAmazon (United States) · USAlbany College of Pharmacy and Health Sciences · USLa Jolla Institute for Immunology · USUniversity of California, San Diego · USUniversity of Washington · US

Funding

UC San Diego RAPID Faculty Development Program in Infectious DiseasesR25AI147376 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ADRIANA H TREMOULET, Joann Trejo · 2020 to 2026
$2.5M
CD4 T cell, germinal center, and antibody response defects in recurrent tonsillitisR01AI135193 · NIAID · LA JOLLA INSTITUTE FOR IMMUNOLOGY · PI CROTTY, SHANE P · 2018 to 2022
$2.3M
The Immunology of Recurrent Group A Streptococcus TonsillitisK08AI135078 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI DAN, JENNIFER MARIE · 2018 to 2022
$972k
NIAID NIH HHS K08 AI135078NIAID NIH HHS R01 AI135193NIAID NIH HHS R25 AI147376
6 · The paper itself

Abstract

Importance: The US arrival of the Omicron variant led to a rapid increase in SARS-CoV-2 infections. While numerous studies report characteristics of Omicron infections among vaccinated individuals or persons with previous infection, comprehensive data describing infections among adults who are immunologically naive are lacking. Objectives: To examine COVID-19 acute and postacute clinical outcomes among a well-characterized cohort of unvaccinated and previously uninfected adults who contracted SARS-CoV-2 during the Omicron (BA.1/BA.2) surge, and to compare outcomes with infections that occurred during the Delta wave. Design, Setting, and Participants: This prospective multisite cohort study included community-dwelling adults undergoing high-resolution symptom and virologic monitoring in 8 US states between June 2021 and September 2022. Unvaccinated adults aged 30 to less than 65 years without an immunological history of SARS-CoV-2 who were at high risk of infection were recruited. Participants were followed for up to 48 weeks, submitting regular COVID-19 symptom surveys and nasal swabs for SARS-CoV-2 polymerase chain reaction (PCR) testing. Data were analyzed from May to October 2022. Exposures: Omicron (BA.1/BA.2 lineages) vs Delta SARS-CoV-2 infection, defined as a positive PCR test result that occurred during a period when the variant represented at least 50% of circulating SARS-CoV-2 variants in the participant's geographic region. Main Outcomes and Measure(s): The main outcomes examined were the prevalence and severity of acute (≤28 days after onset) and postacute (≥5 weeks after onset) symptoms. Results: Among 274 participants who were immunologically naive (mean [SD] age, 49 [9.7] years; 186 [68%] female; 19 [7%] Hispanic participants; 242 [88%] White participants), 166 (61%) contracted SARS-CoV-2. Of these, 137 infections (83%) occurred during the Omicron-predominant period and 29 infections (17%) occurred during the Delta-predominant period. Asymptomatic infections occurred among 7% (95% CI, 3%-12%) of Omicron-wave infections and 0% (95% CI, 0%-12%) of Delta-wave infections. Health care use among individuals with Omicron-wave infections was 79% (95% CI, 43%-92%) lower relative to individuals with Delta-wave infections (P = .001). Compared with individuals infected during the Delta wave, individuals infected during the Omicron wave also experienced a 56% (95% CI, 26%-74%, P = .004) relative reduction in the risk of postacute symptoms and a 79% (95% CI, 54%-91%, P < .001) relative reduction in the rate of postacute symptoms. Conclusions and Relevance: These findings suggest that among adults who were previously immunologically naive, few Omicron-wave (BA.1/BA.2) and Delta-wave infections were asymptomatic. Compared with individuals with Delta-wave infections, individuals with Omicron-wave infections were less likely to seek health care and experience postacute symptoms.

Indexed as

COVID-19SARS-CoV-2AdultCohort StudiesFemaleHumansMaleMiddle AgedProspective Studies

Identifiers

PMID36853602
PMCPMC9975921
OpenAlexW4322616903

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.