CARDIOVASCULAR AND CEREBROVASCULAR OUTCOMES IN SYSTEMIC LUPUS ERYTHEMATOSUS PATIENTS WITH CORONAVIRUS DISEASE 2019: A NATIONAL INPATIENT ANALYSIS
Bibliographic record
Abstract
PV088 / #423 Poster Topic: AS11 - Epidemiology and Public Health Background/Purpose While Systemic Lupus Erythematosus (SLE) patients are known to be at increased risk for severe Coronavirus Disease 2019 (COVID-19) outcomes, specific cardiovascular risks remain poorly defined. We aimed to quantify acute cardiovascular and cerebrovascular complications in hospitalized SLE patients with COVID-19 using 2021 nationally representative data. Methods Using the 2021 National Inpatient Sample, we identified adult SLE patients (International Classification of Diseases, 10th Revision code M32) stratified by COVID-19 status. Primary outcomes included cardiac arrest, intubation, and stroke. Using survey-weighted logistic regression, we calculated adjusted odds ratios (aOR) for these outcomes, controlling for demographics and comorbidities. Results Among 170,085 hospitalized SLE patients, 12,710 (7.47%) had COVID-19. SLE patients with COVID-19 had higher rates of cardiac arrest (335/12,710 [2.64%] vs 1450/157,375 [0.92%], p < 0.001), intubation (1430/12,710 [11.25%] vs 4340/157,375 [2.76%], p < 0.001), and mortality (1655/12,710 [13.02%] vs 3510/157,375 [2.23%], p < 0.001). After adjustment, COVID-19 remained an independent predictor of cardiac arrest (aOR 2.98, 95% CI 2.28-3.90, p < 0.001), intubation (aOR 4.87, 95% CI 4.22-5.62, p < 0.001), and mortality (aOR 7.27, 95% CI 6.28-8.42, p < 0.001). Substance use was lower in COVID-19 patients: nicotine (1120/12,710 [8.81%] vs 24,299/157,375 [15.44%], p < 0.001) and alcohol (145/12,710 [1.14%] vs 4768/157,375 [3.03%], p < 0.001). Conclusions This comprehensive analysis reveals markedly increased risk of severe cardiovascular outcomes in hospitalized SLE patients with COVID-19, including a nearly three-fold higher risk of cardiac arrest and nearly 5-fold higher risk of respiratory failure requiring intubation. Notably, this elevated risk persists despite lower rates of traditional cardiovascular risk factors such as alcohol and tobacco use. These findings emphasize the critical need for targeted cardiovascular monitoring in SLE patients with COVID-19.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".