Lupus & antiphospholipid syndrome
Using combination of albumin to fibrinogen ratio and prognostic nutritional index model for predicting disease activity in patients with systemic lupus erythematosus
Authors' conclusion
These findings suggest that predictive model based on combination of AFR and PNI may be useful markers to identify active SLE in clinical practice.
Study context
- Population
- Patients with systemic lupus erythematosus (SLE)
- Participants
- 108 patients
- Comparison
- SLE with activity vs SLE without activity
- Outcome
- Indicators sensitive and specific to predict SLE activity
Methodological detailsROC curves, multivariate logistic regression, Spearman correlation
- ROC curves
- Multivariate logistic regression
- Spearman correlation
Performance
As reported in the abstract
Prediction of SLE activity
- AFR-PNI model (combination of albumin to fibrinogen ratio (AFR) and prognostic nutritional index (PNI)) showed prominent value in distinguishing active from inactive SLE
- Sensitivity and specificity of AFR-PNI model + anti-dsDNA superior to AFR-PNI model
- AFR and PNI were risk factors for SLE activity
Further findings
Laboratory differences, active vs inactive SLE
- Active SLE: higher ESR, CRP, D-dimer, fibrinogen, CRP to albumin ratio, positive rate of anti-dsDNA and ANUA
- Active SLE: lower C3, total bilirubin, total protein, albumin, albumin/globulin, creatinine, HDL cholesterol, hemoglobin, hematocrit, lymphocyte count, positive rate of anti-SSA, AFR, PNI
Correlation with disease activity and clinical features
- AFR+PNI model correlated with disease activity
- AFR-PNI model associated with fever, pleurisy, pericarditis, renal involvement
Original publication
Using combination of albumin to fibrinogen ratio and prognostic nutritional index model for predicting disease activity in patients with systemic lupus erythematosus. Lupus. Published 8 March 2024. doi:10.
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