Abstract WP243: Elevated Lipoprotein(a) as a Predictor for Recurrent Ischemic Cerebrovascular Events: A Meta-Analysis of Cohort Studies

Abstract

Introduction: Elevated levels of Lipoprotein(a) [Lp(a)] have been associated with an increased risk of incidental acute ischemic stroke (AIS). Our study represents the first meta-analysis investigating the relationship between Lp(a) levels and the recurrence of AIS or transient ischemic attacks (TIA) in both adult and pediatric populations. Methods: We conducted a systematic search of PubMed and Google Scholar databases up to August 2023, utilizing medical subject headings and title/abstract terms. Studies reporting on Lp(a) levels predicting recurrent AIS or TIA were screened. From 85 identified studies, 8 met our inclusion criteria: 5 focusing on adults and 3 on pediatric cohorts. Binary random effects models were used to estimate pooled unadjusted and adjusted odds ratios (OR) and 95% confidence intervals (CI). Subgroup analysis was performed by country. Sensitivity analysis was done by the leave-one-out method, and the heterogeneity was assessed with I 2 statistics. Results: Our analysis included data from 13,549 patients. The mean age in years was 66 for adults and 7.6 for the pediatric cohort. The majority of the cohorts were male and identified as being of a white racial background. The median follow-up duration was 22.5 months. Elevated Lp(a) indicated an unadjusted OR of 1.60 (95% CI: 1.18-2.16) for recurrent AIS or TIA, with moderate heterogeneity (I 2 =56.17%, p=0.003) and the association validated by sensitivity analysis. When adjusted, the OR increased to 1.84 (95% CI: 1.20-2.84) with high heterogeneity (I 2 =82.36%, p<0.001). Country-specific sub-analysis identified the highest OR in Germany, followed by China and the USA. Conclusion: Elevated Lp(a) levels corresponded to a 60% unadjusted and 84% adjusted increase in the risk of recurrent AIS or TIA. This underscores the significance of Lp(a) as a valuable predictor for recurring cerebrovascular events, offering insight to inform clinical management and decision-making.