Evidence map›Paper›PMID 32825629›Full record

ArticleDiagnostics (Basel, Switzerland)2020

Red Blood Cell Distribution Width (RDW) Predicts COVID-19 Severity: A Prospective, Observational Study from the Cincinnati SARS-CoV-2 Emergency Department Cohort.

Brandon Michael Henry, Justin Lee Benoit, Stefanie Benoit, Christina Pulvino, Brandon A Berger, Maria Helena Santos de Olivera, Christopher A Crutchfield, Giuseppe Lippi

Open access · goldAbstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed, 2 pooled it
6.6field-weighted citation impact, top 2% 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

45 citing papers in PubMed, 2 syntheses or guidelines pooled it, 92 citations in OpenAlex.

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  18. Clinical outcomes at medium-term follow-up of COVID-19.The journal of the Royal College of Physicians of Edinburgh · 2022
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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

8 authors at 5 institutions in 3 countries.

Brandon Michael HenryCardiac Intensive Care Unit, The Heart Institute, Cincinnati Children's Hospital Medical Center, Cincinnati, OH 45229, USA.
Justin Lee BenoitDepartment of Emergency Medicine, University of Cincinnati, Cincinnati, OH 45221, USA.
Stefanie BenoitDivision of Nephrology and Hypertension, Cincinnati Children's Hospital Medical Center, Cincinnati, OH 45229, USA.ORCID 0000-0002-4203-1978
Christina PulvinoDepartment of Emergency Medicine, University of Cincinnati, Cincinnati, OH 45221, USA.
Brandon A BergerDepartment of Emergency Medicine, University of Cincinnati, Cincinnati, OH 45221, USA.
Maria Helena Santos de OliveraDepartment of Statistics, Federal University of Parana, Curitiba 80060-000, Brazil.ORCID 0000-0003-1180-7224
Christopher A CrutchfieldDepartment of Pathology & Laboratory Medicine, University of Cincinnati, College of Medicine, OH 45219, USA.
Giuseppe LippiSection of Clinical Biochemistry, Department of Neuroscience, Biomedicine and Movement, University of Verona, 37129 Verona, Italy.ORCID 0000-0001-9523-9054
University of Cincinnati · USCincinnati Children's Hospital Medical Center · USUniversidade Federal do Paraná · BRUniversity of Cincinnati Medical Center · USUniversity of Verona · IT

Funding

College of Medicine, University of Cincinnati Special Coronavirus (COVID-19) Research Pilot Grant Program
6 · The paper itself

Abstract

Since previous evidence has demonstrated that red blood cell distribution width (RDW) may be a useful prognostic parameter in many critical illnesses and infectious diseases, we investigated the utility of RDW for monitoring patients with coronavirus disease 2019 (COVID-19). The study population consisted of 49 COVID-19 patients, including 16 (32.6%) with severe illness, 12 (24.5%) with severe acute kidney injury (AKI), and 8 (16.3%) requiring renal replacement therapy (RRT). The predictive value of blood tests, performed during emergency department evaluation, was then addressed. A progressive increase of RDW was observed with advancing COVID-19 severity. The area under the curve (AUC) of RDW was 0.73 for predicting severe illness, 0.80 for severe AKI, and 0.83 for RRT, respectively. In multivariate analysis, elevated RDW was associated with 9-fold and 16-fold increased odds of severe COVID-19 and AKI, respectively. The results of this study suggest that RDW should be part of routine laboratory assessment and monitoring of COVID-19.

Indexed as

acute kidney injuryanisocytosisdiagnosticshematologyinfectionsred blood cells

Identifiers

PMID32825629
PMCPMC7554711
OpenAlexW3080490875

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.