Evidence map›Paper›PMID 37529630›Full record

ArticleIJID regions2023

Inflammatory phenotypes may be more important than age and comorbidities in predicting clinical outcomes in hospitalised patients with COVID-19.

Jinghao Nicholas Ngiam, Matthew Cy Koh, Tze Sian Liong, Meng Ying Sim, Srishti Chhabra, Wilson Goh, Nicholas Ws Chew, Ching-Hui Sia, Peter Kc Goon, John Ty Soong and 2 more

Abstract read
In one paragraph

Article in IJID regions, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

  1. Review
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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

12 authors.

Jinghao Nicholas NgiamDepartment of Infectious Diseases, National University Health System, Singapore.
Matthew Cy KohDepartment of Infectious Diseases, National University Health System, Singapore.
Tze Sian LiongDepartment of Medicine, National University Health System, Singapore.
Meng Ying SimDepartment of Infectious Diseases, National University Health System, Singapore.
Srishti ChhabraDepartment of Infectious Diseases, National University Health System, Singapore.
Wilson GohDepartment of Medicine, National University Health System, Singapore.
Nicholas Ws ChewDepartment of Cardiology, National University Heart Centre Singapore, Singapore.
Ching-Hui SiaDepartment of Cardiology, National University Heart Centre Singapore, Singapore.
Peter Kc GoonDepartment of Medicine, National University Health System, Singapore.
John Ty SoongDepartment of Medicine, National University Health System, Singapore.
Paul Anantharajah TambyahDepartment of Cardiology, National University Heart Centre Singapore, Singapore.
Matthew Edward CoveDepartment of Medicine, National University Health System, Singapore.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: In critically ill patients with COVID-19, distinct hyperinflammatory and hypoinflammatory phenotypes have been described, with different outcomes and responses to therapy. We investigated if similar phenotypes exist in non-severe illness. Methods: Consecutive patients with polymerase chain reaction (PCR) confirmed SARS-CoV-2 were examined. Baseline demographics and laboratory investigations were tabulated, including serum C-reactive protein. Patients were divided into those who were hyperinflammatory (defined as C-reactive protein >17 mg/l) or hypoinflammatory. Adverse outcomes, defined as requiring oxygenation, intensive care, or death, were recorded during the hospital stay. Clinical characteristics and outcomes were compared. Results: Of the 1781 patients examined, 276 (15.5%) had a hyperinflammatory phenotype. They were older (51.8 ± 17.2 vs 40.3 ± 13.8 years, Conclusion: Even in non-severe COVID-19, there are distinct hyper- and hypoinflammatory phenotypes, with the hyperinflammatory phenotype strongly associated with adverse clinical outcomes, that could be distinguished with a simple biomarker.

Indexed as

COVID-19Inflammatory phenotypesSingapore

Identifiers

PMID37529630
PMCPMC10307670

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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.