Lupus & antiphospholipid syndrome
Risk factors analysis and risk assessment model construction of systemic lupus erythematosus patients with infection
Authors' conclusion
The new risk assessment model exhibits good predictive ability to assess co-infection risk in SLE patients.
Study context
- Population
- Systemic lupus erythematosus (SLE) patients with and without infection and healthy controlsvalidation: 39 infected, 20 non-infected
- Participants
- 163 / 333 / 132
- Comparison
- SLE with infection vs SLE without infection vs healthy controls
- Infectedn = 163
- Non-infectedn = 333reference
- Healthy controls (HCs)n = 132
- Outcome
- Risk assessment model predicting co-infection in SLE (predictive sensitivity and specificity)
Methodological detailsflow cytometry, logistic regression risk model, ROC analysis, random validation sample
- Flow cytometry
- Logistic regression risk model
- ROC analysis
- Random validation sample
Main finding
As reported in the abstract
Predictive performance of risk assessment model for SLE with infection
Sensitivity
77.5%
Specificity
78.3%
Observational data: associations, not effects.
Further findings
T, B, CD4+T, CD8+T and NK cell levels
- Significantly decreased in infected patients vs both non-infected patients and HCs
- P < 0.05
Th17 cells
- Higher in non-infected patients than HCs
- P < . 05
- Absolute numbers lowest in infected patients among the three groups
- P < 0.001
Treg cells
- Significantly lower in SLE patients than HCs
- P < 0.01
- Fewest in infected patients among all groups
- P < . 05
Original publication
Risk factors analysis and risk assessment model construction of systemic lupus erythematosus patients with infection. Lupus. Published 26 November 2022. doi:10.
Composed by AI from the published abstract and checked against it. How Briefs are made →