Evidence map›Paper›PMID 39204294›Full record

ArticlePathogens (Basel, Switzerland)2024

Adding Hyponatremia to the "Rule-of-6" Prediction Tool Improves Performance in Identifying Hospitalised Patients with COVID-19 at Risk of Adverse Clinical Outcomes.

Meng Ying Sim, Jinghao Nicholas Ngiam, Matthew Chung Yi Koh, Wilson Goh, Srishti Chhabra, Nicholas W S Chew, Louis Yi Ann Chai, Paul Anantharajah Tambyah, Ching-Hui Sia

Abstract read
In one paragraph

Article in Pathogens (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Meng Ying SimDivision of Infectious Diseases, Department of Medicine, National University Hospital, National University Health System, Singapore 119228, Singapore.ORCID 0009-0009-5977-0775
Jinghao Nicholas NgiamDivision of Infectious Diseases, Department of Medicine, National University Hospital, National University Health System, Singapore 119228, Singapore.ORCID 0000-0002-3339-7281
Matthew Chung Yi KohDivision of Infectious Diseases, Department of Medicine, National University Hospital, National University Health System, Singapore 119228, Singapore.ORCID 0009-0002-7374-8207
Wilson GohDivision of Infectious Diseases, Department of Medicine, National University Hospital, National University Health System, Singapore 119228, Singapore.ORCID 0000-0002-9343-2069
Srishti ChhabraDivision of Infectious Diseases, Department of Medicine, National University Hospital, National University Health System, Singapore 119228, Singapore.
Nicholas W S ChewDepartment of Cardiology, National University Heart Centre Singapore, Singapore 119074, Singapore.ORCID 0000-0002-0640-0430
Louis Yi Ann ChaiDivision of Infectious Diseases, Department of Medicine, National University Hospital, National University Health System, Singapore 119228, Singapore.
Paul Anantharajah TambyahDivision of Infectious Diseases, Department of Medicine, National University Hospital, National University Health System, Singapore 119228, Singapore.ORCID 0000-0003-0405-771X
Ching-Hui SiaDepartment of Cardiology, National University Heart Centre Singapore, Singapore 119074, Singapore.ORCID 0000-0002-2764-2869

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The 'rule-of-6' prediction tool was shown to be able to identify COVID-19 patients at risk of adverse outcomes. During the pandemic, we frequently observed hyponatremia at presentation. We sought to evaluate if adding hyponatremia at presentation could improve the 'rule-of-6' prediction tool. We retrospectively analysed 1781 consecutive patients admitted to a single tertiary academic institution in Singapore with COVID-19 infection from February 2020 to October 2021. A total of 161 (9.0%) patients had hyponatremia. These patients were significantly older, with more co-morbidities and more likely to be admitted during the Delta wave (2021). They were more likely to have radiographic evidence of pneumonia (46.0% versus 13.0%,

Indexed as

COVID-19HospitalizationHyponatremiaSARS-CoV-2AdultAgedAged, 80 and overFemaleHumansMaleMiddle AgedRetrospective StudiesRisk FactorsSingaporeCOVID-19hyponatremiaoutcomespredictSingapore

Identifiers

PMID39204294
PMCPMC11357126

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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.