Abstract
BackgroundLymphocyte-based inflammatory indices such as monocyte-to-lymphocyte ratio (MLR) have long been recognized as reliable coronary artery disease (CAD) predictors. More recently, novel indices like the Systemic Inflammatory Index (SII), Systemic Inflammatory Response Index (SIRI), and Systemic Immune-Inflammation Index (SIIRI) have emerged. These newer markers offer a more comprehensive assessment of inflammation by integrating multiple immune cell types, potentially enhancing the prediction of cardiovascular outcomes. ObjectivesWe evaluated the predictive value of novel inflammatory markers in estimating the pretest probability of severe CAD in high-risk patients. MethodsWe enrolled consecutive patients undergoing diagnostic coronary angiography in a single tertiary care hospital. Inflammatory markers were calculated based on pre-procedural complete blood count laboratory measurements. Severe CAD was defined as critical (>70 %) and actionable narrowing of a primary coronary artery. Classification performance was assessed using multivariate logistic regression. ResultsThe study sample included 363 patients (age 58.9± 11 years, 44.9 % females, 30 % severe CAD). In univariate analysis, MLR, SIRI, and SIIRI were significant predictors of severe CAD, with age- and sex-adjusted OR of 1.98 [1.25–3.14], 1.79 [1.24–2.59], and 1.63 [1.11–2.38], respectively. In multivariate analysis, SIRI remained an independent predictor of severe CAD (OR = 1.98, 95 % CI 1.13–3.46, p = 0.02). ConclusionOur results suggest that novel inflammatory markers derived from routine blood tests are predictive of severe CAD in high-risk patients. Such simple, practical, and cost-effective inflammatory markers may enhance cardiac risk stratification and prediction of severe CAD.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.