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ABSTRACT: Background and aims
Polyvascular disease is an independent predictor of major adverse cardiovascular events (MACE). The relationship between the number of diseased arterial beds and MACE is unknown. How MACE risk changes in individuals with type 2 diabetes (T2D) is also understudied. Furthermore, it is unknown whether heart failure (HF) status and hemoglobin A1c (HbA1c) levels influence outcomes in polyvascular disease. This analysis from the Exenatide Study of Cardiovascular Event Lowering trial (EXSCEL) aimed to examine the risk associated with increasing number of diseased arterial beds on MACE and all-cause mortality (ACM).Methods
Cox models were used to test associations between the number of diseased arterial beds and MACE and ACM. Prespecified interaction testing bet
SUBMITTER: Samsky MD
PROVIDER: S-EPMC8702379 | biostudies-literature | 2021 Dec
REPOSITORIES: biostudies-literature