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ANALYSIS OF PULMONARY COMPLICATIONS IN SLE PATIENTS WITH AND WITHOUT COVID-19: A NATIONAL INPATIENT STUDY

2025· article· en· W4410513003 on OpenAlexvenueno aff
Godbless Ajenaghughrure, Sila Mateo Faxas, Tochukwu Ikpeze

Bibliographic record

VenueThe Journal of Rheumatology · 2025
Typearticle
Languageen
FieldMedicine
TopicDermatological and COVID-19 studies
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineCoronavirus disease 2019 (COVID-19)2019-20 coronavirus outbreakSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)BetacoronavirusCoronavirus InfectionsInternal medicineMEDLINEIntensive care medicineEmergency medicineVirologyDiseaseOutbreakInfectious disease (medical specialty)

Abstract

fetched live from OpenAlex

PV051 / #529 Poster Topic: AS06 - Comorbidities Background/Purpose While respiratory failure in Systemic Lupus Erythematosus (SLE) patients with Coronavirus Disease 2019 (COVID-19) is well-documented, the spectrum of acute pulmonary complications compared to SLE patients without COVID-19 remains incompletely characterized. We aimed to analyze rates and predictors of acute pulmonary complications between these groups. Methods Using the 2021 National Inpatient Sample, we identified adult SLE patients (n=170,085) and stratified by COVID-19 status. Primary outcomes included pulmonary embolism (PE) and mechanical ventilation. We employed survey-weighted logistic regression to calculate adjusted odds ratios (aOR) comparing SLE patients with vs without COVID-19. Results Of 170,085 hospitalized SLE patients, 12,710 (7.47%) had COVID-19 and 157,375 (92.53%) did not. PE rates were higher in SLE patients with COVID-19 vs those without (9.52% vs 8.64%, p = 0.0013). After adjustment, COVID-19 remained associated with increased PE risk (aOR 1.12, 95% CI 0.97-1.30, p = 0.126). Mechanical ventilation rates were substantially higher in the COVID-19 group (11.25% vs 2.76%, p < 0.001), with an aOR of 4.87 (95% CI 4.22-5.62, p < 0.001). Within the COVID-19 group, risk factors for PE included African American vs Caucasian race (29.50% vs 48.03%, aOR 1.37, 95% CI 1.24-1.51, p < 0.001), obesity (31.94% vs 22.23%, aOR 1.32, 95% CI 1.09-1.51, p = 0.015), and severe comorbidity burden (41.03% vs 9.87%, aOR 4.20, 95% CI 3.51-5.03, p < 0.001). Among SLE patients with COVID-19 who developed PE, intensive care admission rates were higher (42.8% vs 28.3%, p < 0.001), and hospital length of stay was longer (11.2 vs 8.1 days, p < 0.001) compared to those without PE. Conclusions This analysis demonstrates significantly higher rates of acute pulmonary complications in SLE patients with COVID-19 compared to those without, particularly regarding mechanical ventilation needs. The increased PE risk in COVID-19 patients, especially in certain demographic groups, suggests the need for enhanced thromboprophylaxis protocols in this population.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.023
GPT teacher head0.328
Teacher spread0.304 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2025
Admission routes1
Has abstractyes

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