Predictive Value of Laboratory Assays Toward Autoimmune Diseases
Kellen J. Begeman, Mark J. White, Elizabeth S. Moore, Heidi H. Ewen

TL;DR
This study identifies key lab tests that help predict specific autoimmune disease markers, improving diagnosis efficiency.
Contribution
The study introduces predictive models using general lab results to forecast anti-ENA and anti-dsDNA antibody positivity.
Findings
ANA, complement C3, globulin, MLR, and BUN predict anti-ENA positivity with high sensitivity.
Complement C3, C4, pH, urine protein, and NLR predict anti-dsDNA positivity with moderate sensitivity and specificity.
Abstract
With an increasing number of unmet medical needs for autoimmune diseases (AD) in the United States, it is important to assess the value of laboratory assays in diagnosis. Healthcare providers must understand general and specific laboratory results that can lead to an efficient diagnosis. A nonexperimental study using a retrospective design and data collected between 2018 and 2021 was completed to explore whether the presence of positive anti‐ENA and anti‐dsDNA antibodies in individuals with an autoimmune disorder (anti‐ENA, N = 1495; anti‐dsDNA, N = 1261) can be predicted by their demographics and selected general laboratory test results. For predicting anti‐ENA, multiple logistic regression analysis χ 2(1) = 237.62, p < 0.001 indicated antinuclear antibody (ANA), complement C3, globulin, monocyte‐to‐lymphocyte ratio (MLR), and blood urea nitrogen (BUN) were statistically associated…
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Taxonomy
TopicsSystemic Lupus Erythematosus Research · T-cell and B-cell Immunology · Atherosclerosis and Cardiovascular Diseases
