Neutrophil CD64 expression, procalcitonin and presepsin are useful to differentiate infections from flares in SLE patients with SIRS.
A EcheverriJ Naranjo-EscobarI Posso-OsorioD Aguirre-ValenciaD ZambranoG L CastañoJ D MartínezC A CañasGabriel J TobónPublished in: Lupus (2018)
Background/Objective Differentiating systemic lupus erythematosus (SLE) activity from infections in febrile patients is difficult because of similar initial clinical presentation. The aim of this study is to evaluate the usefulness of a number of biomarkers for differentiating infections from activity in SLE patients admitted with systemic inflammatory response (SIRS). Methods Patients with SLE and SIRS admitted to the emergency room were included in this study. Measurements of different markers including procalcitonin, neutrophil CD64 expression and presepsin, were performed. Infection was considered present when positive cultures and/or polymerase chain reaction were obtained. Sensitivity and specificity were calculated for all biomarkers. Results Twenty-seven patients were admitted, 23 women (82.5%), mean age 33.2 years. An infectious disease was confirmed in 12 cases. Markers for SLE activity including anti-DNA titers by IIF ( p = 0.041) and enzyme-linked immunosorbent assay ( p = 0.009) were used for differentiating SLE flares from infection. On the contrary, increased procalcitonin ( p = 0.047), neutrophil CD64 expression by flow cytometry ( p = 0.037) and presepsin ( p = 0.037) levels were observed in infected SLE patients. Conclusions High neutrophil CD64 expression, presepsin and procalcitonin levels are useful to differentiate infections from activity in SLE patients. In most cases, a positive bioscore that includes these three markers demonstrate the presence of an infectious disease.
Keyphrases
- systemic lupus erythematosus
- end stage renal disease
- disease activity
- newly diagnosed
- ejection fraction
- poor prognosis
- inflammatory response
- chronic kidney disease
- prognostic factors
- public health
- peritoneal dialysis
- adipose tissue
- healthcare
- magnetic resonance imaging
- rheumatoid arthritis
- skeletal muscle
- flow cytometry
- computed tomography
- infectious diseases
- high throughput
- lipopolysaccharide induced
- single cell