Evidence map›Paper›PMID 34423917›Full record

ArticleACR open rheumatology2021

Factors Associated With Hospitalization and Death After COVID-19 Diagnosis Among Patients With Rheumatic Disease: An Analysis of Veterans Affairs Data.

Gabriela Schmajuk, Anna D Montgomery, Samuel Leonard, Jing Li, Milena Gianfrancesco, Andrea Seet, Zara Izadi, Jinoos Yazdany, Salomeh Keyhani

Open access · goldAbstract read
In one paragraph

Article in ACR open rheumatology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 34% 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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
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

9 authors at 2 institutions in 1 country.

Gabriela SchmajukSan Francisco Department of Veterans Affairs Medical Center and University of California, San Francisco.ORCID https://orcid.org/0000-0003-2687-5043
Anna D MontgomerySan Francisco Department of Veterans Affairs Medical Center and University of California, San Francisco.ORCID https://orcid.org/0000-0003-3333-7833
Samuel LeonardSan Francisco Department of Veterans Affairs Medical Center and University of California, San Francisco.
Jing LiUniversity of California, San Francisco.
Milena GianfrancescoUniversity of California, San Francisco.ORCID https://orcid.org/0000-0002-8351-4626
Andrea SeetUniversity of California, San Francisco.
Zara IzadiUniversity of California, San Francisco.ORCID https://orcid.org/0000-0002-1867-0905
Jinoos YazdanyUniversity of California, San Francisco.ORCID https://orcid.org/0000-0002-3508-4094
Salomeh KeyhaniSan Francisco Department of Veterans Affairs Medical Center and University of California, San Francisco.
University of California, San Francisco · USSan Francisco VA Medical Center · US

Funding

RESOURCE-BASED CENTER FOR THE ADVANCEMENT OF PRECISION MEDICINE IN RHEUMATOLOGYP30AR070155 · NIAMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Mary C Nakamura · 2016 to 2026
$8.2M
Computational methods using electronic health records and registry data to detect and predict clinical outcomes in rheumatic diseaseK01AR075085 · NIAMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GIANFRANCESCO, MILENA ANNE · 2019 to 2022
$458k
PRIS-M: Precision Monitoring to Transform CareIP1HX001994 · VA · RLR VA MEDICAL CENTER · PI BRAVATA, DAWN MARIE, DAMUSH, TERESA M. · 2019 to 2021
–
Health Services Research and Development 1IP1HX001994HSRD VA IP1 HX001994NIAMS NIH HHS K01 AR075085NIAMS NIH HHS P30 AR070155
6 · The paper itself

Abstract

objectiveIndividuals with autoimmune rheumatic disease (RD) are considered to be at increased risk for infection. However, few US population-based studies have assessed whether these patients are at increased risk of hospitalization or death due to COVID-19 compared with those without RD.

methodsWe performed a retrospective cohort study using national Veterans Affairs Health Care System data for individuals who tested positive for SARS-CoV-2. Outcomes of interest were hospitalization or death due to any cause within 30 days of COVID-19 diagnosis. Outcomes were compared among veterans with RD and those without RD by using propensity score matching (PSM) and mixed-effects multivariate logistic regression.

resultsOf 26,116 veterans with COVID-19, 501 (1.9%) had an underlying RD. Prior to matching, patients with RD were more likely to have poor outcomes compared with controls (37.7% vs. 28.5% hospitalized; 6.4% vs. 4.5% died). In the PSM analysis, RD was not a significant predictor for poor outcomes; however, patients with prescriptions for glucocorticoids had increased odds of poor outcomes in a dose-dependent manner (odds ratio [95% confidence interval] for hospitalization or death: 1.33 [1.20-1.48] for doses >0 and ≤10 mg/day; 1.29 [1.09-1.52] for doses >10 mg/day).

conclusionAmong US veterans with COVID-19, we did not find a significant association between RD and hospitalization or death. Poor outcomes appear to be mostly driven by age and other comorbidities, similar to the general veteran population. However, we observed an increased risk for poor outcomes among patients who received glucocorticoids, even at daily doses less than or equal to 10 mg.

Identifiers

PMID34423917
PMCPMC8593772
OpenAlexW3193991950

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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Registered trials

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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.