Categorization of rheumatoid arthritis into mild, moderate, and severe conditions to discriminate specificity and sensitivity of routine diagnostic serum biomarkers
Year: 2025
Type: article
Study design: Observational Study
Abstract: Introduction: Rheumatoid arthritis (RA) diagnosis continues to face challenges regarding the specificity and sensitivity of routine serological markers. This study aimed to assess the demographic distribution and serum biomarker profiles of RA patients with varying disease severity in Haryana, India, and to evaluate their diagnostic utility. Methods: = 50) disease categories using the Disease Activity Score-28 (DAS28). Demographic data, body mass index (BMI), and serum levels of rheumatoid factor (RF), anticyclic citrullinated peptide antibodies (anti-CCP), and C-reactive protein (CRP) were measured and statistically analyzed for intergroup comparisons and diagnostic correlations. Results: Female predominance was observed across all RA severity groups, with the highest proportion in the severe category. Biomarker levels (RF, anti-CCP, and CRP) showed significant progressive elevation from mild to severe RA. Statistical analysis demonstrated robust correlations between biomarker titers and disease severity, with anti-CCP exhibiting the highest specificity among individual markers. Combined RF and anti-CCP assessment improved diagnostic accuracy. Chi-square tests revealed significant associations between biomarker profiles and disease severity, supporting their diagnostic relevance. Conclusions: Our findings underscore the clinical significance of combining serological biomarkers to enhance diagnostic precision in RA. The graded increase in biomarker titers across severity levels suggests their potential role in disease stratification and the development of tailored therapeutic strategies.
Source: Annals of Medicine and Surgery
Authors: Preeti Sharma, Priya Koundal, Jyoti Aggarwal, Shakeel Ahmed Mohammed, Shahbaz Aman, Ayesha Bibi
Language: English
Subfield: Rheumatology
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $1,850
OpenAlex ID: W4415266772