Autoimmune rheumatologic diseases
Background: The presence of anti-nuclear antibody (ANA) has reported its correlation with a worse prognosis. ANA test using indirect immunofluorescence assay (IIFA) needs to detect because there is no indication of a common protein specificity. Cancer prevalence has increased worldwide. Labor burden for ANA IIFA also has become higher. We evaluated suitability of automated ANA analyzer for ANA detection in cancer patients.
Materials and Methods: NOVA View software-based classification and conventional visual interpretation were compared with NOVA View in 51 solid cancer patients, 30 systemic autoimmune disorder patients, and 90 health check-ups<./p>
Results: Total agreement was 97.1% (Kappa value 0.91) between NOVA View software-based classification and NOVA View visual confirmation. In cancer patients, Kappa values showed very good (0.82) agreements. Agreements were 96.7% (Kappa value 0.92) in systemic autoimmune disorder patients and 98.9% in health check-up group.