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Multimorbidity in Atherosclerotic Cardiovascular Disease and Its Associations With Adverse Cardiovascular Events and
Dingwei Dai1, Joaquim Fernandes1, Xiaowu Sun1
1CVS Health, Woonsocket, Rhode Island, USA.
Insights
Patients with atherosclerotic cardiovascular disease (ASCVD) often have numerous comorbidities, increasing adverse cardiovascular events and healthcare costs. Managing this multimorbidity is crucial for secondary prevention.
Area of Science:
- Cardiology
- Public Health
- Health Economics
Background:
- Atherosclerotic cardiovascular disease (ASCVD) is a leading global cause of death and disability.
- High prevalence of multimorbidity complicates ASCVD management and outcomes.
Purpose of the Study:
- To evaluate the burden of multimorbidity in ASCVD patients.
- To examine associations between multimorbidity, adverse cardiovascular events (ACEs), and healthcare costs.
Main Methods:
- Retrospective cohort study using Aetna claims data (2018-2021).
- Identified ASCVD patients with at least 12 months pre/post-index enrollment.
- Utilized association rule mining for comorbidity patterns and generalized linear models for outcome analysis.
Main Results:
- Nearly all ASCVD patients (98.5%) had ≥2 comorbidities; 80.2% had ≥5.
- Mean comorbidity count was 7.1, increasing with age, and higher in females and socially vulnerable individuals.
- Increased comorbidity number strongly correlated with higher ACEs and healthcare costs.
Conclusions:
- Multimorbidity is extremely common in ASCVD patients.
- Comorbidity patterns differ by demographics and social vulnerability.
- Addressing multimorbidity is essential for ASCVD secondary prevention and cost management.
Abstract:
Background: Atherosclerotic cardiovascular disease (ASCVD) remains the leading cause of mortality and disability in the United States and worldwide. Objective: To assess the multimorbidity burden and its associations with adverse cardiovascular events (ACE) and healthcare costs among patients with ASCVD. Methods: This is a retrospective observational cohort study using Aetna claims database. Patients with ASCVD were identified during the study period (1/1/2018-10/31/2021). The earliest ASCVD diagnosis date was identified as the index date. Qualified patients were ≥18 years of age and had ≥12 months of health plan enrollment before and after the index date. Comorbid conditions were assessed using all data available within 12 months prior to and including the index date. Association rule mining was applied to identify comorbid condition combinations. ACEs and healthcare costs were assessed using all data within 12 months after the index date. Multivariable generalized linear models were performed to examine the associations between multimorbidity and ACEs and healthcare costs. Results: Of 223 923 patients with ASCVD (mean [SD] age, 73.6 [10.7] years; 42.2% female), 98.5% had ≥2, and 80.2% had ≥5 comorbid conditions. The most common comorbid condition dyad was hypertension-hyperlipidemia (78.7%). The most common triad was hypertension-hyperlipidemia-pain disorders (61.1%). The most common quartet was hypertension-hyperlipidemia-pain disorders-diabetes (30.2%). The most common quintet was hypertension-hyperlipidemia-pain disorders-diabetes-obesity (16%). The most common sextet was hypertension-hyperlipidemia-pain disorders-diabetes-obesity-osteoarthritis (7.6%). The mean [SD] number of comorbid conditions was 7.1 [3.2]. The multimorbidity burden tended to increase in older age groups and was comparatively higher in females and in those with higher social vulnerability. The increased number of comorbid conditions was significantly associated with increased ACEs and increased healthcare costs. Discussion: Extremely prevalent multimorbidity should be considered in the context of clinical decision-making to optimize secondary prevention of ASCVD. Conclusions: Multimorbidity was extremely prevalent among patients with ASCVD. Multimorbidity patterns varied considerably across ASCVD patients and by age, gender, and social vulnerability status. Multimorbidity was strongly associated with ACEs and healthcare costs.
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