Life-Time Covariation of Major Cardiovascular Diseases: A 40-Year Longitudinal Study and Genetic Studies
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Published on: September 26, 2018
Lars Lind1, Johan Sundström1,2, Johan Ärnlöv3,4
1Department of Medical Sciences (L.L., J.S.), Uppsala University, Sweden.
Insights
Cardiovascular diseases (CVDs) like heart failure and atrial fibrillation are strongly linked, with temporal order impacting risk. Genetic analysis reveals new pathophysiological connections between these conditions.
Area of Science:
- Cardiovascular epidemiology
- Genetics of cardiovascular disease
- Longitudinal studies
Background:
- Established links exist between certain cardiovascular diseases (CVDs), such as atrial fibrillation and stroke.
- Temporal trends and associations between other CVDs remain less understood.
- This study investigates epidemiological and genetic links between major CVDs.
Purpose of the Study:
- To examine temporal epidemiological associations between four major CVDs.
- To explore genetic underpinnings of these CVD associations.
- To understand the risk magnitude and order of CVD occurrence.
Main Methods:
- Longitudinal study of 2322 men from the Uppsala Longitudinal Study of Adult Men (ULSAM) for 40 years.
- Analysis of four major CVDs: myocardial infarction, ischemic stroke, heart failure, and atrial fibrillation.
- Utilized multistate modeling and publicly available genetic data.
Main Results:
- All four investigated CVDs were pairwise associated, irrespective of temporal order.
- Heart failure and atrial fibrillation showed high risk ratios (24-26) in both temporal orders.
- Myocardial infarction followed by heart failure had a higher risk (16) than the reverse (9).
- Genetic loci partially explained associations, with pathway analyses revealing additional pathophysiological links.
Conclusions:
- All four major CVDs are interconnected over 40 years, with varying risk magnitudes based on temporal sequence.
- Genetic analyses have uncovered novel pathophysiological pathways linking different CVDs.
Background:
It is known that certain cardiovascular diseases (CVD) are associated, like atrial fibrillation and stroke. However, for other CVDs, the links and temporal trends are less studied. In this longitudinal study, we have investigated temporal epidemiological and genetic associations between different CVDs.
Methods:
The ULSAM (Uppsala Longitudinal Study of Adult Men; 2322 men aged 50 years) has been followed for 40 years regarding 4 major CVDs (incident myocardial infarction, ischemic stroke, heart failure, and atrial fibrillation). For the genetic analyses, publicly available data were used.
Results:
Using multistate modeling, significant relationships were seen between pairs of all of the 4 investigated CVDs. However, the risk of obtaining one additional CVD differed substantially both between different CVDs and between their temporal order. The relationship between heart failure and atrial fibrillation showed a high risk ratio (risk ratios, 24-26) regardless of the temporal order. A consistent association was seen also for myocardial infarction and atrial fibrillation but with a lower relative risk (risk ratios, 4-5). In contrast, the risk of receiving a diagnosis of heart failure following a myocardial infarction was almost twice as high as for the reverse temporal order (risk ratios, 16 versus 9). Genetic loci linked to traditional risk factors could partly explain the observed associations between the CVDs, but pathway analyses disclosed also other pathophysiological links.
Conclusions:
During 40 years, all of the 4 investigated CVDs were pairwise associated with each other regardless of the temporal order of occurrence, but the risk magnitude differed between different CVDs and their temporal order. Genetic analyses disclosed new pathophysiological links between CVDs.
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