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Using combination of albumin to fibrinogen ratio and prognostic nutritional index model for predicting disease activity in patients with systemic lupus erythematosus.
Zhao, Hongshuai; Huang, Zikun; Wang, Shiqian; Fu, Peng; Fu, Biqi; Guo, Yang; Li, Junming; Luo, Qing.
Afiliação
  • Zhao H; Department of Clinical Laboratory, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China.
  • Huang Z; Jiangxi Medical College, Nanchang University, Nanchang, China.
  • Wang S; Department of Clinical Laboratory, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China.
  • Fu P; Jiangxi Medical College, Nanchang University, Nanchang, China.
  • Fu B; Department of Clinical Laboratory, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China.
  • Guo Y; Department of Rheumatology, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China.
  • Li J; Department of Clinical Laboratory, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China.
  • Luo Q; Department of Clinical Laboratory, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China.
Lupus ; 33(5): 490-501, 2024 Apr.
Article em En | MEDLINE | ID: mdl-38457835
ABSTRACT

Background:

Systemic lupus erythematosus (SLE) is chronic autoimmune disease with multiple organ damage and is associated with poor prognosis and high mortality. Identification of universal biomarkers to predict SLE activity is challenging due to the heterogeneity of the disease. This study aimed to identify the indicators that are sensitive and specific to predict activity of SLE.

Methods:

We retrospectively analyzed 108 patients with SLE. Patients were categorized into SLE with activity and without activity groups on the basis of SLE disease activity index. We analyzed the potential of routine and novel indicators in predicting the SLE activity using receiver operating characteristic curves and multivariate logistic regression. The Spearman method was used to understand the correlation between albumin to fibrinogen ratio (AFR), prognostic nutritional index (PNI), AFR-PNI model and disease activity.

Results:

SLE with activity group had higher ESR, CRP, D-dimer, fibrinogen, CRP to albumin ratio, positive rate of anti-dsDNA and ANUA, and lower C3, total bilirubin, total protein, albumin, albumin/globulin, creatinine, high density liptein cholesterol, hemoglobin, hematocrit, lymphocyte count, positive rate of anti-SSA, AFR, PNI than SLE without activity. A further established model based on combination of AFR and PNI (AFR-PNI model) showed prominent value in distinguishing SLE with activity patients from SLE without activity patients. In addition, the sensitivity and specificity of AFR-PNI model + anti-dsDNA combination model were superior to AFR-PNI model. AFR and PNI were risk factors for SLE activity. Moreover, AFR+PNI model correlated with disease activity and AFR-PNI model was associated with fever, pleurisy, pericarditis, renal involvement.

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.
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Texto completo: 1 Coleções: 01-internacional Contexto em Saúde: 6_ODS3_enfermedades_notrasmisibles Base de dados: MEDLINE Assunto principal: Avaliação Nutricional / Lúpus Eritematoso Sistêmico Limite: Humans Idioma: En Revista: Lupus Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Contexto em Saúde: 6_ODS3_enfermedades_notrasmisibles Base de dados: MEDLINE Assunto principal: Avaliação Nutricional / Lúpus Eritematoso Sistêmico Limite: Humans Idioma: En Revista: Lupus Ano de publicação: 2024 Tipo de documento: Article