Platelet count as inflammatory marker in pediatric Systemic Lupus Erythematosus
Raina Sekar Kinanti1, Reni Ghrahani2, Sri Suryanti3.
1Faculty of Medicine, Universitas Padjadjaran, Bandung, Indonesia,
2Department of Child Health, Faculty of Medicine, Universitas Padjadjaran, Dr. Hasan Sadikin General Hospital, Bandung, Indonesia,
3Department of Anatomic Pathology, Faculty of Medicine, Universitas Padjajaran, Dr. Hasan Sadikin General Hospital, Bandung, Indonesia.
Abstract
BACKGROUND: Platelets as immune cells have been shown to play several roles in inflammation. Increasing of anti-double stranded DNA (anti-dsDNA) autoantibody levels are commonly used to assess the high disease activity of Systemic Lupus Erythematosus (SLE). Platelet count is a cost effective indicator that can easily be detected as inflammatory marker.
OBJECTIVE: This study aimed to see the correlation between platelet count and anti-dsDNA antibody levels.
METHODS: This study was a cross-sectional study using data from medical records involving 41 newly-diagnosed pediatric SLE (pSLE) patients (aged ≤18 years) was conducted at Department of Child Health in our hospital between January 1st 2018 and June 30th 2019. Platelet count was measured using Sysmex XN analyzer. Anti-dsDNA antibody levels were measured by Standard Enzyme Linked Immunosorbent Assay (ELISA). Spearman’s rank correlation and Pearson’s chi square test were performed to analyze the data (p<0.05 is considered significant).
RESULTS: Forty-one pSLE patients were included in this study, consisting of 38 female (92.7%) and 3 male (7.3%) patients with median age of 15 (IQR=13-17). The median value of platelet count was 238000/mm3 (IQR = 152000-355000/mm3). The median value of anti-dsDNA antibody levels was 153.8 IU/ml (IQR = 30.5-416.2). Platelet count was inversely correlated with anti-dsDNA antibody levels (Spearman correlation Rho=-0.433, p=0.005). Thrombocytopenia was correlated with rash (p=0.001), fever (p=0.0002), and arthritis (p=0.001).
CONCLUSION: Decreasing of platelet count can be considered as new parameter in predicting SLE with highly active disease course.

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