1. Real-World Predictors of Major Adverse Cardiovascular Events and Major Adverse Limb Events Among Patients with Chronic Coronary Artery Disease and/or Peripheral Arterial Disease
- Author
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Beth L. Nordstrom, Ariel Berger, Qi Zhao, Alex Simpson, Jeffrey S. Berger, Nicholas J. Leeper, Windsor Ting, and Brian R. Murphy
- Subjects
Male ,030213 general clinical medicine ,medicine.medical_specialty ,Arterial disease ,Pharmacology toxicology ,Coronary Artery Disease ,Risk Assessment ,Severity of Illness Index ,Coronary artery disease ,Peripheral Arterial Disease ,03 medical and health sciences ,0302 clinical medicine ,Risk Factors ,Internal medicine ,Secondary Prevention ,medicine ,Correct name ,Humans ,Pharmacology (medical) ,Aged ,Proportional Hazards Models ,business.industry ,Incidence (epidemiology) ,General Medicine ,Middle Aged ,medicine.disease ,Rheumatology ,Peripheral ,Lower Extremity ,030220 oncology & carcinogenesis ,Disease Progression ,Female ,business ,Author name - Abstract
Collectively, coronary artery disease (CAD) and peripheral artery disease (PAD) are highly prevalent and are associated with increased risk of major adverse cardiovascular events (MACE) and major adverse limb events (MALE). Improved ability to identify those at highest risk of these events may help optimize secondary prevention efforts in this population.Using the Optum Integrated Database, a healthcare claims database linked to electronic medical records (EMR), we identified patients with CAD and/or PAD between January 1, 2009, and September 30, 2016. Index date was the earliest date on which chronic and stable disease was established. Follow-up ran from index date until earliest of patient death, plan disenrollment, or end of study. We developed multivariate Cox proportional hazards models to identify predictors of MACE and/or MALE, limited to measures presumed available to clinicians during patient encounters (e.g., age, presence of selected comorbidities).A total of 20,932 patients met all selection criteria; 86.9% had CAD and 26.1% had PAD; 13% (n = 2753) experienced MACE and/or MALE during a mean follow-up of 2.3 years, for a rate of 7.1 events per 100 person-years (PYs). We identified 11 predictors of MACE and/or MALE. Most (95.1%) patients had ≥ 1 predictors; 34.0% and 6.9% had ≥ 4 and ≥ 6, respectively. Incidence of MACE and/or MALE was strongly correlated with number of predictors (rReadily identifiable predictors can be used to identify subgroups with chronic CAD and/or PAD at elevated risk of MACE and/or MALE. Further research is required to understand the degree to which these subgroups may benefit from early identification and treatment with secondary prevention therapies.Janssen Pharmaceuticals.
- Published
- 2019
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