Background:
Whether age alone explains the comorbidity burden in heart failure (HF) is unclear. In particular, differences in the burden of co-morbid conditions in HF patients compared to population controls has not been well documented.
Methods:
The prevalence of 17 chronic conditions defined by the US Department of Health and Human Services were obtained in 1746 incident HF patients from 2000-2010 and controls matched 1:1 on sex and age from Olmsted County, MN. Conditions were ascertained requiring 2 occurrences of a diagnostic code. Logistic regression determined associations of each condition with HF.
Results:
Among the 1746 matched pairs (mean age 76.2 years, 43.5% men), the prevalence was higher in HF cases for all conditions (p<0.05) except dementia and osteoporosis. After adjusting for all conditions, hypertension, coronary artery disease, arrhythmia, asthma, chronic kidney disease, chronic obstructive pulmonary disease, diabetes, hepatitis, and substance abuse were significantly more common in HF (figure). More than a 2-fold increased odds of hepatitis, arrhythmia, and coronary artery disease was observed among HF cases. Arrhythmia (34.2%), hypertension (31.1%), and coronary artery disease (27.8%) had the largest attributable risk of HF; for example, assuming a causal relationship, if arrhythmias were eliminated, 34% of HF would be avoided.
Conclusions:
Compared to age- and sex-matched controls, HF patients have a higher prevalence of many chronic conditions, indicating the excess comorbidity in HF is not due to age alone. Some cardiovascular conditions, including arrhythmia, coronary artery disease, and hypertension were more common in HF. Of the non-cardiovascular conditions, hepatitis had the strongest association with HF and was an unanticipated finding that deserves additional investigation. It is important to understand comorbidities as they play a key role in the excess mortality and healthcare utilization experienced by HF patients.
Association between guideline recommended drugs and death in older adults with multiple chronic conditions: population based cohort study
