Evidence map›Paper›PMID 35588945›Full record

ArticleOphthalmology2022

Association between Immunosuppressive Drugs and Coronavirus Disease 2019 Outcomes in Patients with Noninfectious Uveitis in a Large US Claims Database.

Yuwei Sun, D Claire Miller, Idara Akpandak, Evan M Chen, Benjamin F Arnold, Nisha R Acharya

Open access · greenAbstract read
In one paragraph

Article in Ophthalmology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.7field-weighted citation impact, top 10% 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

10 citing papers in PubMed, 16 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

6 authors at 1 institution in 1 country.

Yuwei SunF.I. Proctor Foundation, University of California, San Francisco, California.
D Claire MillerF.I. Proctor Foundation, University of California, San Francisco, California.
Idara AkpandakF.I. Proctor Foundation, University of California, San Francisco, California.
Evan M ChenF.I. Proctor Foundation, University of California, San Francisco, California; Department of Ophthalmology, University of California, San Francisco, California.
Benjamin F ArnoldF.I. Proctor Foundation, University of California, San Francisco, California; Department of Ophthalmology, University of California, San Francisco, California.
Nisha R AcharyaF.I. Proctor Foundation, University of California, San Francisco, California; Department of Ophthalmology, University of California, San Francisco, California; Department of Epidemiology and Biostatistics, University of California, San Francisco, California. Electronic address: nisha.acharya@ucsf.edu.
University of California, San Francisco · US

Funding

The Impact of the Herpes Zoster Vaccine on Herpes Zoster OphthalmicusR01EY028739 · NEI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI NISHA ACHARYA · 2018 to 2026
$4.5M
6 · The paper itself

Abstract

purposeTo determine the dose-dependent risk of systemic corticosteroids (SCs) and the risk of other immunosuppressive therapies on coronavirus disease 2019 (COVID-19) infection, hospitalization, and death in patients with noninfectious uveitis (NIU).

designA retrospective cohort study from January 20, 2020, to December 31, 2020 (an era before widespread COVID-19 vaccination), using the Optum Labs Data Warehouse, a US national de-identified claims database.

participantsPatients who had at least 1 NIU diagnosis from January 1, 2017.

methodsUnadjusted and adjusted hazard ratios (HRs) were estimated for each variable and COVID-19 outcome using Cox proportional hazards models, with time-updated dichotomous indicators for outpatient immunosuppressive medication exposure. To assess the dose-dependent effect of SC exposure, the average daily dose of prednisone over the exposed interval was included in the adjusted models as a continuous variable, in addition to the dichotomous variable.

main outcome measuresIncidence rates of COVID-19 infection, COVID-19-related hospitalization, and COVID-19-related in-hospital death.

resultsThis study included 52 286 NIU patients of whom 12 000 (23.0%) were exposed to immunosuppressive medications during the risk period. In adjusted models, exposure to SCs was associated with increased risk of COVID-19 infection (HR, 2.66; 95% confidence interval [CI], 2.19-3.24; P < 0.001), hospitalization (HR, 3.26; 95% CI, 2.46-4.33; P < 0.001), and in-hospital death (HR, 1.99; 95% CI, 0.93-4.27; P = 0.08). Furthermore, incremental increases in the dosage of SCs were associated with a greater risk for these outcomes. Although tumor necrosis factor-α (TNF-α) inhibitors were associated with an increased risk of infection (HR, 1.48; 95% CI, 1.08-2.04; P = 0.02), other immunosuppressive treatments did not increase the risk of COVID-19 infection, hospitalization, or death.

conclusionsThis study from an era before widespread COVID-19 vaccination demonstrates that outpatient SC exposure is associated with greater risk of COVID-19 infection and severe outcomes in patients with NIU. Future studies should evaluate the impact of immunosuppression in vaccinated NIU patients. Limiting exposure to SCs and use of alternative therapies may be warranted.

Indexed as

COVID-19Immunosuppressive AgentsUveitisAdrenal Cortex HormonesCOVID-19 VaccinesHospitalizationHospital MortalityHumansPrednisoneRetrospective StudiesTreatment OutcomeTumor Necrosis Factor-alphaAdrenal Cortex HormonesCOVID-19 VaccinesImmunosuppressive AgentsPrednisoneTumor Necrosis Factor-alphaCorticosteroidsCOVID-19COVID-19 deathsCOVID-19 hospitalizationsHealthcare claims dataImmunosuppressive medicationsNoninfectious uveitis

Identifiers

PMID35588945
PMCPMC9110065
OpenAlexW4280621847

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.