Investigating the predictive power of LDL subfractions in ischemic stroke risk - a clinical correlation study

Abstract

A key health concern, being a major cause of functional dependence and the 2nd leading cause of death globally, is Stroke. Stroke survivors often face long-term disability and other illnesses, while treatments have advanced. High levels of Low-Density Lipoprotein Cholesterol (LDL-C) are a key and well-established risk factor for Ischemic Stroke (IS). But, the LDL-C sub-factors’ impact on IS risk is unclear. Besides, better tools and responses to therapies are required to recognize LDL-C’s specific role in IS. Also, detailed subclass analysis is desirable to develop personalized prevention and treatment strategies. Thus, the study investigates the link betwixt the LDL subfractions and IS. A total of 172 eligible participants are organized under the IS group (n=43) and the non-IS group (n=129). The analytical data are collected from the study participants by using the clinical cross-sectional studies. Moreover, the quantitative methods are used to evaluate the data. The results proved that the IS patients showed increased health hazards than the non-IS patients. The regression analysis showed that LDL-C4 significantly influenced (OR, 95% CI: 1.22, 1.08–1.38) the IS risk in patients. The Pearson Correlation (PC) outcomes also proved positive and negative correlations between the IS risk and LDL fractions. Furthermore, the predictive value assessment also exhibited the larger area under the curves and ROC curves of LDL-C4 (0.847) and LDL-C3 (0.813), which also confirmed the influence of LDL on IS risks.