Evidence map›Paper›PMID 37332510›Full record

ArticleFEMS microbes2022

Detection of pneumococcus during hospitalization for SARS-CoV-2.

Anne Stahlfeld, Laura R Glick, Isabel M Ott, Samuel B Craft, Devyn Yolda-Carr, Christina A Harden, Maura Nakahata, Shelli F Farhadian, Lindsay R Grant, Ronika Alexander-Parrish and 4 more

Open access · goldAbstract read
In one paragraph

Article in FEMS microbes, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.8field-weighted citation impact, top 28% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors at 2 institutions in 1 country.

Anne StahlfeldDepartment of Epidemiology of Microbial Diseases, Yale School of Public Health, LEPH823, 60 College St, New Haven, CT 06510, United States.
Laura R GlickYale School of Medicine, 333 Cedar St, New Haven, CT 06511, United States.
Isabel M OttDepartment of Epidemiology of Microbial Diseases, Yale School of Public Health, LEPH823, 60 College St, New Haven, CT 06510, United States.
Samuel B CraftYale School of Medicine, 333 Cedar St, New Haven, CT 06511, United States.
Devyn Yolda-CarrDepartment of Epidemiology of Microbial Diseases, Yale School of Public Health, LEPH823, 60 College St, New Haven, CT 06510, United States.
Christina A HardenDepartment of Epidemiology of Microbial Diseases, Yale School of Public Health, LEPH823, 60 College St, New Haven, CT 06510, United States.
Maura NakahataDepartment of Epidemiology of Microbial Diseases, Yale School of Public Health, LEPH823, 60 College St, New Haven, CT 06510, United States.
Shelli F FarhadianYale School of Medicine, 333 Cedar St, New Haven, CT 06511, United States.
Lindsay R GrantMedical and Scientific Affairs, Pfizer Inc, 500 Arcola Rd, Collegeville, PA 19426, United States.
Ronika Alexander-ParrishMedical and Scientific Affairs, Pfizer Inc, 500 Arcola Rd, Collegeville, PA 19426, United States.
Adriano ArguedasMedical and Scientific Affairs, Pfizer Inc, 500 Arcola Rd, Collegeville, PA 19426, United States.
Bradford D GessnerMedical and Scientific Affairs, Pfizer Inc, 500 Arcola Rd, Collegeville, PA 19426, United States.
Daniel M WeinbergerDepartment of Epidemiology of Microbial Diseases, Yale School of Public Health, LEPH823, 60 College St, New Haven, CT 06510, United States.
Anne L WyllieDepartment of Epidemiology of Microbial Diseases, Yale School of Public Health, LEPH823, 60 College St, New Haven, CT 06510, United States.ORCID https://orcid.org/0000-0001-6015-0279
Yale University · USPfizer (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Infections with respiratory viruses [e.g. influenza and respiratory syncytial virus (RSV)] can increase the risk of severe pneumococcal infections. Likewise, pneumococcal coinfection is associated with poorer outcomes in viral respiratory infection. However, there are limited data describing the frequency of pneumococcus and SARS-CoV-2 coinfection and the role of coinfection in influencing COVID-19 severity. We, therefore, investigated the detection of pneumococcus in COVID-19 inpatients during the early pandemic period. Methods: The study included patients aged 18 years and older, admitted to the Yale-New Haven Hospital who were symptomatic for respiratory infection and tested positive for SARS-CoV-2 during March-August 2020. Patients were tested for pneumococcus through culture-enrichment of saliva followed by RT-qPCR (to identify carriage) and serotype-specific urine antigen detection (UAD) assays (to identify presumed lower respiratory tract pneumococcal disease). Results: Among 148 subjects, the median age was 65 years; 54.7% were male; 50.7% had an ICU stay; 64.9% received antibiotics; and 14.9% died while admitted. Pneumococcal carriage was detected in 3/96 (3.1%) individuals tested by saliva RT-qPCR. Additionally, pneumococcus was detected in 14/127 (11.0%) individuals tested by UAD, and more commonly in severe than moderate COVID-19 [OR: 2.20; 95% CI: (0.72, 7.48)]; however, the numbers were small with a high degree of uncertainty. None of the UAD-positive individuals died. Conclusions: Pneumococcal lower respiratory tract infection (LRTI), as detected by positive UAD, occurred in patients hospitalized with COVID-19. Moreover, pneumococcal LRTI was more common in those with more serious COVID-19 outcomes. Future studies should assess how pneumococcus and SARS-CoV-2 interact to influence COVID-19 severity in hospitalized patients.

Indexed as

COVID-19salivaStreptococcus pneumoniaeurinary antigen detection

Identifiers

PMID37332510
PMCPMC10117745
OpenAlexW4306352916

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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.