Evidence map›Paper›PMID 40514311›Full record

ArticleThe American journal of the medical sciences2025

Increased prevalence, ER visits, and hospitalizations in medicare systemic lupus erythematosus patients living in socially vulnerable counties: A cross-sectional study.

Emily R Cosentino, James C Oates Jim

Abstract read
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Article in The American journal of the medical sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Emily R CosentinoCollege of Medicine, Medical University of South Carolina, Charleston, SC, USA; Mount Sinai Morningside-West Hospitals, Icahn School of Medicine at Mount Sinai, NY, NY, USA.
James C Oates JimDepartment of Medicine, Division of Rheumatology and Immunology, Medical University of South Carolina, Charleston, SC, USA; Medical Service, Rheumatology Section, Ralph H. Johnson VA Medical Center, Charleston, SC, USA. Electronic address: oatesjc@musc.edu.

Funding

South Carolina Clinical & Translational Research Institute (SCTR)UL1TR001450 · NCATS · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI BRADY, KATHLEEN T., FLUME, PATRICK A · 2015 to 2024
$41.1M
South Carolina Clinical & Translational Research Institute (SCTR)UL1TR000062 · NCATS · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI BRADY, KATHLEEN T. · 2012 to 2014
$9.4M
Resource CoreP30AR072582 · NIAMS · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI JAMES C OATES · 2017 to 2026
$8.5M
NCATS NIH HHS UL1 TR000062NCATS NIH HHS UL1 TR001450NIAMS NIH HHS P30 AR072582
6 · The paper itself

Abstract

backgroundSystemic Lupus Erythematosus (SLE) disproportionately affects women, minorities, and individuals with low socioeconomic status. We hypothesized that counties with a higher percentage of disadvantaged individuals have a higher prevalence of SLE and increased acute hospital events, including emergency room (ER) visits and hospitalizations, among Medicare patients with SLE.

methodsThis cross-sectional study used the Centers for Disease Control and Prevention's Social Vulnerability Index (SVI) and Lupus Research Alliance's Lupus Index Medicare data. SLE was identified through Medicare fee-for-service administrative records from 2016 containing two or more ICD-10 codes for SLE. We examined SLE prevalence, acute hospital events, and their association with county-level SVI rankings.

resultsThe study population was 89 % female and 69 % White, with 22 % Black. SVI ranking (r = 0.508) and its subthemes correlated with SLE prevalence, with socioeconomic status and household composition showing the strongest associations (R = 0.431 and R = 0.365, respectively). Similar but weaker correlations were seen between SVI and acute healthcare events, including ER visits and hospitalizations. Limitations include the cross-sectional design preventing longitudinal analysis, reliance on administrative data potentially introducing bias, and exclusion of counties with fewer than 10 SLE patients.

conclusionsThis is the first study linking county-level vulnerability to SLE prevalence and healthcare events in a Medicare SLE population. Findings suggest that social and environmental factors influence SLE risk and healthcare utilization, much like other chronic diseases. The modest association between location and hospital/ER events suggests that structural factors may act as barriers to optimal care and outcomes.

Indexed as

Emergency Service, HospitalHospitalizationLupus Erythematosus, SystemicMedicareSocial VulnerabilityAgedCross-Sectional StudiesFemaleHumansMaleMiddle AgedPrevalenceUnited StatesEpidemiologySocial Determinants of HealthSocial vulnerability indexSystemic lupus erythematosus

Identifiers

PMID40514311
PMCPMC12277039

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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.