Evidence map›Paper›PMID 35530871›Full record

ArticleCureus2022

Mortality Risk From COVID-19 Among Unvaccinated Subjects With Autoimmune Phenotypes of Interstitial Lung Disease.

Rachel K Strykowski, Maria Poonawalla, Albina Tyker, Iazsmin Bauer Ventura, Cathryn Lee, Renea Jablonski, Rekha Vij, Jonathan Chung, Mary Strek, Ayodeji Adegunsoye

Open access · diamondAbstract read
In one paragraph

Article in Cureus, 2022. 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
–field-weighted citation impact, top 92% 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, 0 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

10 authors at 1 institution in 1 country.

Rachel K StrykowskiDepartment of Medicine, Division of Pulmonary and Critical Care, University of Chicago Medicine, Chicago, USA.
Maria PoonawallaDepartment of Medicine, University of Chicago Medicine, Chicago, USA.
Albina TykerDepartment of Medicine, University of Chicago Medicine, Chicago, USA.
Iazsmin Bauer VenturaDepartment of Medicine/Rheumatology, University of Chicago Medicine, Chicago, USA.
Cathryn LeeDepartment of Medicine/Pulmonary and Critical Care, University of Chicago Medicine, Chicago, USA.
Renea JablonskiDepartment of Medicine/Pulmonary and Critical Care, University of Chicago Medicine, Chicago, USA.
Rekha VijDepartment of Medicine/Pulmonary and Critical Care, University of Chicago Medicine, Chicago, USA.
Jonathan ChungDepartment of Radiology, University of Chicago Medicine, Chicago, USA.
Mary StrekDepartment of Medicine/Pulmonary and Critical Care, University of Chicago Medicine, Chicago, USA.
Ayodeji AdegunsoyeDepartment of Medicine/Pulmonary and Critical Care, University of Chicago Medicine, Chicago, USA.
University of Chicago · US

Funding

Improving Pulmonary Fibrosis Classification with Genomics Informed Phenotypic ClustersK23HL146942 · NHLBI · UNIVERSITY OF CHICAGO · PI ADEGUNSOYE, AYODEJI · 2020 to 2024
$810k
6 · The paper itself

Abstract

backgroundThe impact of the severe acute respiratory syndrome-associated coronavirus 2 (SARS-CoV-2) virus on patients with interstitial lung disease (ILD) remains poorly understood. As patients with ILD often have severe underlying lung parenchymal involvement, and immunosuppressive therapy is common in this population, they are presumed to be at high risk for severe coronavirus disease 2019 (COVID-19) pneumonitis. Our aim was to explore demographic and clinical differences between those with ILD who tested positive for the SARS-CoV-2 virus compared to those with ILD who did not.

methodsIn this retrospective cohort study, we identified adult, unvaccinated patients evaluated at the University of Chicago in 2020 who were enrolled in the ILD registry, and stratified by SARS-CoV-2 seropositive status. We then compared baseline clinical characteristics between SARS-CoV-2 seropositive and SARS-CoV-2 seronegative patients and assessed immunosuppressive therapy that the patient may have been on since ILD diagnosis. C-reactive protein and leukocyte subsets were evaluated at COVID diagnosis compared to the time of baseline ILD evaluation as were pulmonary function testing. Variable comparisons were determined by two-sided t-tests or chi-square tests as appropriate, and logistic regression models were fitted to assess the odds of death from COVID-19 using generalized linear models with maximum-likelihood estimation.

resultsOf the 309 individuals with ILD in our cohort, 6.8% (n=21) tested positive for SARS-CoV-2. Those who were SARS-CoV-2 positive were younger (57 years vs 66 years; P=0.002), had baseline higher total lung capacity (81% vs 73%, P=0.045), similar forced vital capacity (71% vs. 67%, P=0.37), and similar diffusion capacity of carbon monoxide (71% vs. 62%, P=0.10) at baseline. Among patients with ILD and COVID-19, 67% had received immunosuppressive therapies compared to 74% of those with ILD without COVID-19. Those with ILD and COVID-19 were also more likely to have had a diagnosis of autoimmune-related ILD (connective tissue disease-ILD or interstitial pneumonia with autoimmune features) (62% vs 38%, P=0.029). Overall, the mortality hazard was highest among unvaccinated subjects with autoimmune-related ILD who had COVID-19 (OR=9.6, 95% CI=1.7-54.0; P=0.01). DISCUSSION: SARS-CoV-2 is prevalent in ILD, and may put unvaccinated adults who are younger, with autoimmune ILD, and on immunosuppressive therapy at higher risk. This suggests a need for COVID-19 vaccinations and therapy (inpatient and outpatient) for this group of patients at high risk for COVID-19. Larger studies are needed to fully explore the relationship between ILD and immunosuppressive therapy in COVID-19.

Indexed as

auto immunecovid 19covid-19 pneumoniaimmuno suppresioninterstital lung disease

Identifiers

PMID35530871
PMCPMC9067351
OpenAlexW4226112659

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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.