Evidence map›Paper›PMID 35610068›Full record

ReviewCurrent problems in diagnostic radiology

Radiographic Findings and Association With Clinical Severity and Outcomes in Critically Ill Patients With COVID-19.

Wei Wu, Pavan K Bhatraju, Natalie Cobb, Neha A Sathe, Kevin I Duan, Kevin P Seitz, Matthew R Thau, Clifford C Sung, Daniel S Hippe, Gautham Reddy and 1 more

Open access · greenAbstract readReview
In one paragraph

Review in Current problems in diagnostic radiology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.1field-weighted citation impact, top 59% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

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

11 authors at 2 institutions in 1 country.

Wei WuUniversity of Washington School of Medicine, Department of Radiology, Seattle, WA. Electronic address: vivi2011@uw.edu.
Pavan K BhatrajuUniversity of Washington School of Medicine, Department of Internal Medicine, Division of Pulmonary, Critical Care and Sleep Medicine, Seattle, WA.
Natalie CobbUniversity of Washington School of Medicine, Department of Internal Medicine, Division of Pulmonary, Critical Care and Sleep Medicine, Seattle, WA.
Neha A SatheUniversity of Washington School of Medicine, Department of Internal Medicine, Division of Pulmonary, Critical Care and Sleep Medicine, Seattle, WA.
Kevin I DuanUniversity of Washington School of Medicine, Department of Internal Medicine, Division of Pulmonary, Critical Care and Sleep Medicine, Seattle, WA.
Kevin P SeitzUniversity of Washington School of Medicine, Department of Internal Medicine, Division of Pulmonary, Critical Care and Sleep Medicine, Seattle, WA.
Matthew R ThauUniversity of Washington School of Medicine, Department of Internal Medicine, Division of Pulmonary, Critical Care and Sleep Medicine, Seattle, WA.
Clifford C SungUniversity of Washington School of Medicine, Department of Internal Medicine, Division of Pulmonary, Critical Care and Sleep Medicine, Seattle, WA.
Daniel S HippeClinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA.
Gautham ReddyUniversity of Washington School of Medicine, Department of Radiology, Seattle, WA.
Sudhakar PipavathUniversity of Washington School of Medicine, Department of Radiology, Seattle, WA.
University of Washington · USFred Hutch Cancer Center · US

Funding

RESPIRATORY RESEARCH TRAINING PROGRAMT32HL007287 · NHLBI · UNIVERSITY OF WASHINGTON · PI Kristina Anne Crothers, David J. Horne · 1985 to 2026
$16.7M
CATALyST: Consortium for Applied Training to Advance the Learning health system with Scholars/TraineesK12HS026369 · AHRQ · KAISER FOUNDATION RESEARCH INSTITUTE · PI LOZANO, PAULA, RALSTON, JAMES D. · 2018 to 2022
$3.5M
The Assessment of Acute Kidney Injury Sub-phenotypes in the Intensive Care UnitK23DK116967 · NIDDK · UNIVERSITY OF WASHINGTON · PI BHATRAJU, PAVAN KUMAR · 2019 to 2023
$938k
AHRQ HHS K12 HS026369NIDDK NIH HHS K23 DK116967
6 · The paper itself

Abstract

purposeTo describe evolution and severity of radiographic findings and assess association with disease severity and outcomes in critically ill COVID-19 patients. MATERIALS AND

methodsThis retrospective study included 62 COVID-19 patients admitted to the intensive care unit (ICU). Clinical data was obtained from electronic medical records. A total of 270 chest radiographs were reviewed and qualitatively scored (CXR score) using a severity scale of 0-30. Radiographic findings were correlated with clinical severity and outcome.

resultsThe CXR score increases from a median initial score of 10 at hospital presentation to the median peak CXR score of 18 within a median time of 4 days after hospitalization, and then slowly decreases to a median last CXR score of 15 in a median time of 12 days after hospitalization. The initial and peak CXR score was independently associated with invasive MV after adjusting for age, gender, body mass index, smoking, and comorbidities (Initial, odds ratio [OR]: 2.11 per 5-point increase, confidence interval [CI] 1.35-3.32, P= 0.001; Peak, OR: 2.50 per 5-point increase, CI 1.48-4.22, P= 0.001). Peak CXR scores were also independently associated with vasopressor usage (OR: 2.28 per 5-point increase, CI 1.30-3.98, P= 0.004). Peak CXR scores strongly correlated with the duration of invasive MV (Rho = 0.62, P< 0.001), while the initial CXR score (Rho = 0.26) and the peak CXR score (Rho = 0.27) correlated weakly with the sequential organ failure assessment score. No statistically significant associations were found between radiographic findings and mortality.

conclusionsEvolution of radiographic features indicates rapid disease progression and correlate with requirement for invasive MV or vasopressors but not mortality, which suggests potential nonpulmonary pathways to death in COVID-19.

Indexed as

COVID-19Critical IllnessHumansIntensive Care UnitsRetrospective StudiesSeverity of Illness Index

Identifiers

PMID35610068
PMCPMC9023378
OpenAlexW4224255757

What OpenQuestion holds

Textmetadata
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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.