Evidence map›Paper›PMID 36029668›Full record

ArticleThe American journal of emergency medicine2022

Association of diaphragm thickness and density measured on chest CT with disease severity in COVID-19 patients.

Selçuk Parlak, Muhammed Said Beşler, Muhammet Batuhan Gökhan

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Article in The American journal of emergency medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.1field-weighted citation impact, top 21% 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

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3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 12 citations in OpenAlex.

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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

3 authors at 1 institution in 1 country.

Selçuk ParlakDepartment of Radiology, Ankara City Hospital, Ankara, Turkey.
Muhammed Said BeşlerDepartment of Radiology, Ankara City Hospital, Ankara, Turkey. Electronic address: msbesler@gmail.com.
Muhammet Batuhan GökhanDepartment of Radiology, Ankara City Hospital, Ankara, Turkey.
Memorial Ankara Hospital · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionA decrease in muscle mass of the diaphragm could be a significant risk factor for pneumonia. The aim of our study was to evaluate whether diaphragm thickness (DT) and density measured on chest computed tomography (CT) were associated with clinical course and mortality in adult patients with coronavirus disease 2019 (COVID-19) in emergency department admission.

methodsWe retrospectively analyzed 404 patients with a positive polymerase chain reaction test for COVID-19 and pneumonia findings on chest CT between September 1 and November 1, 2020. Bilateral DT measurements were performed at the level of the celiac artery origin, and the total mean diaphragm thickness (TMDT) was estimated. Hemidiaphragm density was measured at the level of the celiac artery origin. The relationship between demographic characteristics, comorbidities, TMDT, mean hemidiaphragm density (MHD) and clinical outcomes was investigated using the logistic regression analyses. The reliability of the measurement of the two observers was evaluated by intraclass correlation analyses.

resultsIntraclass correlation analyses demonstrated almost perfect inter-observer agreement for TMDT and substantial agreement for MHD. There was a statistically significant relationship between the presence of a thinner diaphragm and mortality (p < 0.001). Bilateral diaphragm densities were lower in the patients with severe disease and mortality (p < 0.001). The threshold values of TMDT were 3.67 mm and 3.47 mm for the prediction of ICU admission and mortality, respectively. TMDT (odds ratio [OR]: 0.634, 95% confidence interval [CI]: 0.447-0.901), age (OR: 1.053, 95% CI: 1.027-1.081) and MHD (OR: 0.920, 95% CI: 0.883-0.959) were found to be independent predictors for severe disease in the multivariable model. In addition, MHD (OR: 0.883, 95% CI: 0.827-0.942) and age (OR: 1.040, 95% CI: 1.003-1.078) were independent risk factors for mortality.

conclusionOur study demonstrated that a low diaphragm thickness and density measured on chest CT were associated with severe disease in patients with COVID-19 and could be evaluated as poor prognostic markers.

Indexed as

COVID-19AdultDiaphragmHumansPrognosisReproducibility of ResultsRetrospective StudiesSARS-CoV-2Severity of Illness IndexTomography, X-Ray ComputedComputed tomographyCOVID-19DiaphragmPrognosis

Identifiers

PMID36029668
PMCPMC9387025
OpenAlexW4292223589

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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.