Evidence map›Paper›PMID 39210255›Full record

ArticleBMC infectious diseases2024

Predictors of the presence of radiological abnormalities 6 months after severe COVID-19 pneumonia.

Celia Roig-Martí, Ignacio Pérez-Catalán, María Varea-Villanueva, Sofía Folgado-Escudero, Antonio Navarro-Ballester, María Pilar Fernández-García, Ana Segura-Fábrega, Germán Herrero-Rodríguez, Elena Domínguez-Bajo, Sergio Fabra-Juana and 4 more

Abstract read
In one paragraph

Article in BMC infectious diseases, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

5 citing papers in PubMed.

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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

14 authors.

Celia Roig-Martí *Internal Medicine Department, Castellón General University Hospital, Castellón, Spain. celia.roig.marti@gmail.com.ORCID http://orcid.org/0000-0002-7046-7381
Ignacio Pérez-Catalán *Internal Medicine Department, Castellón General University Hospital, Castellón, Spain. nachocs13@gmail.com.ORCID http://orcid.org/0000-0002-2146-378X
María Varea-VillanuevaInternal Medicine Department, Castellón General University Hospital, Castellón, Spain.
Sofía Folgado-EscuderoInternal Medicine Department, Castellón General University Hospital, Castellón, Spain.
Antonio Navarro-BallesterRadiology Department, Castellón, Castellón General University Hospital, Castellón, Spain.
María Pilar Fernández-GarcíaRadiology Department, Castellón, Castellón General University Hospital, Castellón, Spain.
Ana Segura-FábregaInternal Medicine Department, Castellón General University Hospital, Castellón, Spain.
Germán Herrero-RodríguezInternal Medicine Department, Castellón General University Hospital, Castellón, Spain.
Elena Domínguez-BajoInternal Medicine Department, Castellón General University Hospital, Castellón, Spain.
Sergio Fabra-JuanaInternal Medicine Department, Castellón General University Hospital, Castellón, Spain.
María-José Esteve-GimenoInternal Medicine Department, Castellón General University Hospital, Castellón, Spain.
María-Lidón Mateu-CamposIntensive Care Unit, Castellón General University Hospital, Castellón, Spain.
Jorge Usó-Blasco *Internal Medicine Department, Castellón General University Hospital, Castellón, Spain.
José-Manuel Ramos-Rincón *Internal Medicine Department, Alicante General University Hospital, Alicante Institute of Health and Biomedical Research (ISABIAL), Alicante, Spain.ORCID http://orcid.org/0000-0002-6501-9867

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSARS-CoV-2 pneumonia can cause significant long-term radiological changes, even resembling pulmonary fibrosis. However, the risk factors for these long-term effects are unknown. This study aims to assess radiological abnormalities and their possible risk factors six months after hospital discharge due to COVID-19 pneumonia. MATERIAL AND

methodsThis cross-sectional study in a tertiary hospital included adults admitted for COVID-19 pneumonia from March 2020 to February 2021, who underwent high-resolution computed tomography (HRCT) scans of the chest six months after hospital discharge. The primary outcome was radiological abnormalities on HRCT, while the main explanatory variables were drawn from the patient's medical history along with the disease course, analytical indicators, and the treatment received during admission.

resultsThe 189 included patients had a mean age of 61.5 years; 70.9% were male, and hypertension was the main comorbidity (45%). About two-thirds (67.2%) presented acute respiratory distress syndrome (ARDS). Most (97.9%) received systemic corticosteroid therapy, and 81% presented pathological findings on HRCT, most commonly ground glass (63.5%), followed by bronchial dilatation (36%) and subpleural bands (25.4%). The multivariable analysis showed that age was the main risk factor, associated with most radiological changes. Other factors were the duration of corticosteroid therapy for ground glass (adjusted odds ratio [aOR] 1.020) as well as a longer stay in the intensive care unit (ICU) (aOR 1.290) and high levels of IL-6 for bronchial dilation (aOR 1.002).

conclusionRadiological involvement of the lungs six months after COVID-19 pneumonia is frequent, especially ground glass. Elderly patients with prolonged ICU admission and a significant inflammatory response measured by IL-6 are more likely to present worse radiological evolution and are candidates for radiological follow-up after COVID-19 pneumonia.

Indexed as

COVID-19SARS-CoV-2Tomography, X-Ray ComputedAdultAgedCross-Sectional StudiesFemaleHumansLungMaleMiddle AgedRespiratory Distress SyndromeRisk FactorsTertiary Care CentersCOVID-19PneumoniaPulmonary FibrosisSARS-CoV-2Tomography

Identifiers

PMID39210255
PMCPMC11360858

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LicenceCC BY-NC-ND
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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.