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Systemic Immune-Inflammation Index (SII) and Neutrophil-Lymphocyte Ratio (NLR) as Systemic Inflammatory Predictors in the Diagnosis of Bullous Pemphigoid and Pemphigus Vulgaris

DOI: 10.4236/jcdsa.2024.142014, PP. 211-225

Keywords: Pemphigoid, Vulgaris, Neutrophil-Lymphocyte, Immune-Inflammation, Autoimmune

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Abstract:

Introduction: Autoimmune blistering skin disorders such as Bullous Pemphigoid and Pemphigus Vulgaris present diagnostic challenges. The Systemic Immune-Inflammation Index (SII) and Neutrophil-Lymphocyte Ratio (NLR), are inflammatory markers used to assess the body’s immune-inflammatory response. Objectives: The study aims to evaluate the significance of hematologic markers, specifically the Systemic Immune-Inflammation Index (SII) and Neutrophil-Lymphocyte Ratio (NLR), as diagnostic predictors of bullous pemphigoid (BP) and pemphigus vulgaris (PV). Methods: A retrospective study of 64 patients (36 with BP and 28 with PV). Patient clinical data: age, gender, complete blood count, autoimmune antibody levels (Dsg1, 3 and BP180, 230), IgE and C-reactive protein, and history of hypertension, diabetes, brain infarction, and coronary heart disease. The data was analyzed using SPSS. Results: The study involved 36 (56.3%) diagnosed with bullous pemphigoid (BP) and 28 (43.75%) with pemphigus vulgaris (PV). The average age in BP was 71 ± 8 and 52 ± 13 in PV. Laboratory findings showed high levels of Dsg1, Dsg3, neutrophil count, and lymphocyte count in PV, while high levels of eosinophils with a significant increase in C-reactive protein (CRP) in BP. Blood biomarkers, including NLR, PLR, SII, MPV, CRP, and IgE, proved an overall of 84.4% in disease prediction. Dsg1, Dsg3, BP180, and BP230 showed an overall of 88.1%. No significant relationship was noted between NLR, SII, and patients with comorbidities. Conclusion: The study highlights the diagnostic potential of SII and NLR in addition to hematologic markers in BP and PV, emphasizing their role in early diagnosis and therapeutic interventions, requiring further validation in larger patient cohorts.

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