Evidence map›Paper›PMID 37425752›Full record

ArticlemedRxiv : the preprint server for health sciences2023

Risk factors for severe COVID-19 outcomes: a study of immune-mediated inflammatory diseases, immunomodulatory medications, and comorbidities in a large US healthcare system.

Qi Wei, Philip J Mease, Michael Chiorean, Lulu Iles-Shih, Wanessa F Matos, Andrew Baumgartner, Sevda Molani, Yeon Mi Hwang, Basazin Belhu, Alexandra Ralevski and 1 more

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2023. 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
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.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Qi WeiInstitute for Systems Biology, Seattle, WA, USA.
Philip J MeaseProvidence St. Joseph Health/Swedish Medical Center, Rheumatology, Seattle, WA, USA.
Michael ChioreanDigestive Health Institute, Swedish Medical Center, Seattle, WA, USA.
Lulu Iles-ShihDigestive Health Institute, Swedish Medical Center, Seattle, WA, USA.
Wanessa F MatosInstitute for Systems Biology, Seattle, WA, USA.
Andrew BaumgartnerInstitute for Systems Biology, Seattle, WA, USA.
Sevda MolaniInstitute for Systems Biology, Seattle, WA, USA.
Yeon Mi HwangInstitute for Systems Biology, Seattle, WA, USA.
Basazin BelhuInstitute for Systems Biology, Seattle, WA, USA.
Alexandra RalevskiInstitute for Systems Biology, Seattle, WA, USA.
Jennifer HadlockInstitute for Systems Biology, Seattle, WA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: COVID-19 outcomes, in the context of immune-mediated inflammatory diseases (IMIDs), are incompletely understood. Reported outcomes vary considerably depending on the patient population studied. It is essential to analyse data for a large population, while considering the effects of the pandemic time period, comorbidities, long term use of immunomodulatory medications (IMMs), and vaccination status. Methods: In this retrospective case-control study, patients of all ages with IMIDs were identified from a large U.S. healthcare system. COVID-19 infections were identified based on SARS-CoV-2 NAAT test results. Controls without IMIDs were selected from the same database. Severe outcomes were hospitalisation, mechanical ventilation (MV), and death. We analysed data from 1 March 2020 to 30 August 2022, looking separately at both pre-Omicron and Omicron predominant periods. Factors including IMID diagnoses, comorbidities, long term use of IMMs, and vaccination and booster status were analysed using multivariable logistic regression (LR) and extreme gradient boosting (XGB). Findings: Out of 2 167 656 patients tested for SARS-CoV-2, there were 290 855 with confirmed COVID-19 infection: 15 397 patients with IMIDs and 275 458 controls (patients without IMIDs). Age and most chronic comorbidities were risk factors for worse outcomes, whereas vaccination and boosters were protective. Patients with IMIDs had higher rates of hospitalisation and mortality compared with controls. However, in multivariable analyses, few IMIDs were rarely risk factors for worse outcomes. Further, asthma, psoriasis and spondyloarthritis were associated with reduced risk. Most IMMs had no significant association, but less frequently used IMM drugs were limited by sample size. XGB outperformed LR, with the AUROCs for models across different time periods and outcomes ranging from 0·77 to 0·92. Interpretation: For patients with IMIDs, as for controls, age and comorbidities were risk factors for worse COVID-19 outcomes, whereas vaccinations were protective. Most IMIDs and immunomodulatory therapies were not associated with more severe outcomes. Interestingly, asthma, psoriasis and spondyloarthritis were associated with less severe COVID-19 outcomes than those expected for the population overall. These results can help inform clinical, policy and research decisions. Funding: Pfizer, Novartis, Janssen, NIH.

Indexed as

Autoimmune diseaseCOVID-19D000071069D000086382D001327D012306D025241immunomodulatory medicationsmultiple chronic conditionsrisk

Identifiers

PMID37425752
PMCPMC10327270

What OpenQuestion holds

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LicenceCC BY-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.