Abstract 10888: Lipid Profile Predicts Number and Length of Coronary Artery Stents
| Autor: | Christine P Shen, Samantha R Bagsic, Ashley Jaravata, Richard A Schatz, Matthew J Price, Curtiss Stinis, Paul Teirstein, Amitabh C Pandey |
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| Rok vydání: | 2021 |
| Předmět: | |
| Zdroj: | Circulation. 144 |
| ISSN: | 1524-4539 0009-7322 |
| DOI: | 10.1161/circ.144.suppl_1.10888 |
| Popis: | Introduction: Higher levels of low-density lipoprotein (LDL) are associated with an increased incidence of cardiovascular events. Little is known about the impact of lipid profile on the severity and extent of disease. This study aims to characterize the lipid profile’s ability to predict the number of and total length of coronary artery stents. Hypothesis: In patients undergoing percutaneous coronary intervention, the lipid panel is predictive of the total length and number of coronary stents deployed. Methods: We retrospectively identified unique, consecutive patients undergoing percutaneous coronary intervention at a single center from April 2018 to March 2021. Inclusion criteria included the availability of a lipid panel in the electronic medical record. Associations between lipid levels with stent number or stent length were tested by univariable linear regression. Results: For a single coronary angiogram procedure, 1547 unique patients had a lipid panel in the EMR within 2 weeks of the procedure with a median of 2 stents deployed with median total stent length of 38 mm. High-density lipoprotein (HDL), LDL, but not total cholesterol, triglycerides (TG), were predictive of stent length (HDL inversely, p =0.004; LDL p =0.01) and number of stents (HDL inversely, p =0.008; LDL p =0.04). Conclusions: These results indicate that the lipid panel has implications for the severity and extent of coronary artery disease found during coronary angiography, reflected in the number of and total length of coronary artery stents. |
| Databáze: | OpenAIRE |
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