The association of systemic lupus erythematosus with short-term mortality in sepsis: a population-level analysis

Author:

Oud Lavi1,Garza John23

Affiliation:

1. Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Texas Tech University Health Sciences Center at the Permian Basin, Odessa, TX, USA

2. Texas Tech University Health Sciences Center at the Permian Basin, Odessa, TX, USA

3. Department of Mathematics, The University of Texas of the Permian Basin, Odessa, TX, USA

Abstract

Systemic lupus erythematosus (SLE) is associated with higher risks of sepsis and sepsis-related mortality compared to the general population. However, the prognostic impact of SLE in sepsis is uncertain. We used statewide data to identify hospitalizations aged ≥18 years in Texas with sepsis, with and without SLE during 2014–2017. Multilevel logistic regression with propensity adjustment (primary model), propensity score matching, and multivariable logistic regression without propensity adjustment were used to estimate the association of SLE with short-term mortality (defined as in-hospital mortality or discharge to hospice) among sepsis hospitalizations. Among 283,025 sepsis hospitalizations, 2933 (1.0%) had SLE. Compared to sepsis hospitalizations without SLE, those with SLE were younger (aged ≥65 years, 25.0% vs 57.0%) and had higher burden of comorbidities (mean Deyo comorbidity index 3.0 vs 2.6). Short-term mortality of sepsis hospitalizations with and without SLE was 22.9% vs 31.3%. SLE remained associated with lower short-term mortality on the secondary models, but not on the primary one (adjusted odds ratio: 0.905; 95% confidence interval: 0.817–1.001). When in-hospital mortality was used as secondary outcome, SLE was associated with mortality only on propensity score matching. The increased sepsis-related mortality in SLE is driven by higher risk of sepsis, but not by higher case fatality among septic patients. SLE may be associated with lower risk of mortality among septic patients, but further studies are needed due to heterogeneity of the prognostic associations across models.

Publisher

SAGE Publications

Subject

General Biochemistry, Genetics and Molecular Biology,General Medicine

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