CORRELATION BETWEEN LABORATORY BIOMARKERS AND CLINICAL OUTCOMES IN SYSTEMIC INFLAMMATORY DISEASES

Abstract

Systemic inflammatory diseases are complex diseases with dynamic and multifactorial immune responses, which makes the early risk stratification and prediction of outcomes difficult. This study explores integrating a mixed methods experimental design that examines the relation between laboratory biomarkers and clinical outcomes, and quantitative statistical analysis with qualitative clinical validation. Laboratory parameters of the patients were assessed for disease severity scores, organ dysfunction markers, hospital stay and outcome with regards to key inflammatory markers. Moderate to strong correlations between multiple biomarkers and adverse clinical events were found in both correlation and multivariate regression analyses indicating their prognostic value. The results of outcome-stratified analyses showed different biomarker patterns in the different severity groups, and longitudinal evaluations showed the dynamic changes in biomarker levels during disease course. Finally, predictive performance evaluation has shown the value of the selected biomarkers for patient identification of higher risk of unfavorable outcome. The observed statistical patterns were also consistent with known inflammatory mechanisms, and were confirmed by a qualitative expert review, which led to clinical interpretability. Overall, the findings confirm that laboratory biomarkers offer useful and effective insights into disease process and outcomes in systemic inflammatory disorders, and that they are reliable. The proposed analytical workflow underscores the translation potential of biomarker-based decision support, presenting a scalable approach to enhance clinical monitoring and personalisation of care.