Evidence map›Paper›PMID 35734089›Full record

ArticlemedRxiv : the preprint server for health sciences2022

Radiographic Assessment of Lung Edema (RALE) Scores are Highly Reproducible and Prognostic of Clinical Outcomes for Inpatients with COVID-19.

Nameer Al-Yousif, Saketram Komanduri, Hafiz Qurashi, Anatoliy Korzhuk, Halimat O Lawal, Nicholas Abourizk, Caitlin Schaefer, Kevin J Mitchell, Catherine M Dietz, Ellen K Hughes and 27 more

Open access · greenAbstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2022. 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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0cells of the map it votes in
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

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

0 citing papers in PubMed, 5 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

37 authors at 4 institutions in 1 country.

Saketram Komanduri
Hafiz Qurashi
Anatoliy Korzhuk
Halimat O Lawal
Nicholas Abourizk
Caitlin Schaefer
Kevin J Mitchell
Catherine M Dietz
Ellen K Hughes
Clara S Brandt
Georgia M Fitzgerald
Robin Joyce
Asmaa S Chaudhry
Daniel Kotok
Jose D Rivera
Andrew I Kim
Shruti Shettigar
Allen Lavina
Christine E Girard
Samantha R Gillenwater
Anas Hadeh
William Bain
Faraaz A Shah
Matthew Bittner
Michael Lu
Niall Prendergast
John Evankovich
Konstantin Golubykh
Navitha Ramesh
Jana J Jacobs
Cathy Kessinger
Barbara Methé
Janet S Lee
Alison Morris
Bryan J McVerry
Georgios D Kitsios
University of Pittsburgh · USCleveland Clinic Florida · USUPMC Central Pa · USUniversity of Pittsburgh Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionChest imaging is necessary for diagnosis of COVID-19 pneumonia, but current risk stratification tools do not consider radiographic severity. We quantified radiographic heterogeneity among inpatients with COVID-19 with the Radiographic Assessment of Lung Edema (RALE) score on Chest X-rays (CXRs).

methodsWe performed independent RALE scoring by ≥2 reviewers on baseline CXRs from 425 inpatients with COVID-19 (discovery dataset), we recorded clinical variables and outcomes, and measured plasma host-response biomarkers and SARS-CoV-2 RNA load from subjects with available biospecimens.

resultsWe found excellent inter-rater agreement for RALE scores (intraclass correlation co-efficient=0.93). The required level of respiratory support at the time of baseline CXRs (supplemental oxygen or non-invasive ventilation [n=178]; invasive-mechanical ventilation [n=234], extracorporeal membrane oxygenation [n=13]) was significantly associated with RALE scores (median [interquartile range]: 20.0[14.1-26.7], 26.0[20.5-34.0] and 44.5[34.5-48.0], respectively, p<0.0001). Among invasively-ventilated patients, RALE scores were significantly associated with worse respiratory mechanics (plateau and driving pressure) and gas exchange metrics (PaO2/FiO2 and ventilatory ratio), as well as higher plasma levels of IL-6, sRAGE and TNFR1 levels (p<0.05). RALE scores were independently associated with 90-day survival in a multivariate Cox proportional hazards model (adjusted hazard ratio 1.04[1.02-1.07], p=0.002). We validated significant associations of RALE scores with baseline severity and mortality in an independent dataset of 415 COVID-19 inpatients.

conclusionReproducible assessment of radiographic severity revealed significant associations with clinical and physiologic severity, host-response biomarkers and clinical outcome in COVID-19 pneumonia. Incorporation of radiographic severity assessments may provide prognostic and treatment allocation guidance in patients hospitalized with COVID-19.

Identifiers

PMID35734089
PMCPMC9216727
OpenAlexW4282936407

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Registered trials

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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.