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Parental cardiometabolic multimorbidity and subsequent cardiovascular incidence in middle-aged adults: A prospective
Chao Song1, Feiyun Ouyang2, Tianqi Ma3
1Infection Control Center, Xiangya Hospital, Central South University, Changsha, China.
Insights
Parental cardiometabolic multimorbidity (CMD) significantly increases cardiovascular disease (CVD) risk in middle-aged adults. Understanding this familial link aids in primary CVD prevention strategies.
Area of Science:
- Cardiology
- Genetics
- Public Health
Background:
- Cardiometabolic multimorbidity (CMD), the co-occurrence of conditions like coronary heart disease (CHD), diabetes, and stroke, is rising.
- The impact of parental CMD on cardiovascular disease (CVD) risk in middle-aged adults is not well understood.
Purpose of the Study:
- To investigate the association between parental CMD patterns and the incidence of CVD in middle-aged adults.
- To assess if parental CMD patterns improve CVD risk prediction models.
Main Methods:
- Utilized UK Biobank data from 71,923 participants (40-55 years old) without prior CVD.
- Developed a weighted score to categorize parental CMD burden (non-CMD, low, middle, high).
- Employed Cox proportional hazard models to analyze CVD incidence and risk prediction.
Main Results:
- A high burden of parental CMD was linked to a 94% increased risk of CVD.
- An exposure-response relationship was observed between parental CMD burden and CVD risk.
- Inclusion of parental CMD patterns slightly enhanced CVD risk prediction, particularly for CHD.
Conclusions:
- Increased parental CMD burden is associated with higher CVD incidence in middle-aged adults.
- Parental CMD patterns offer valuable insights for primary CVD prevention efforts.
Background:
The prevalence of cardiometabolic multimorbidity, defined as the coexistence of two or three cardiometabolic diseases (CMDs), including coronary heart disease (CHD), diabetes, and stroke, has increased rapidly in recent years, but the additive association between parental cardiometabolic multimorbidity and cardiovascular incidence in middle-aged adults remains unclear.
Methods:
All the data analysed in this study were derived from the UK Biobank, and a total of 71,923 participants aged 40-55 years old without CVD were included in the main analyses. A weighted score was developed and grouped participants into four parental CMDs patterns: non-CMD, low burden, middle burden, and high burden. Cox proportional hazard models were used to estimate the associations between parental CMDs pattern and CVD incidence before 65 years old. Improvement in CVD risk prediction by adding parental CMDs pattern to a basic model was evaluated.
Results:
Among the 71,923 participants, 3070 CVD events were observed during a median 12.04 years of follow-up. Compared to non-CMD groups, adults in high burden group had a 94% (73-117%) increased risk of CVD. The restricted cubic spline analysis revealed an exposure-response association between parental CMDs burden and risk of CVD (Pnonlinear = 0.24). Additionally, models involving parental CMDs pattern showed slightly improvements in CVD risk prediction, especially for CHD.
Conclusion:
An increased burden of parental CMDs was associated with an increased risk of CVD incidence in middle-aged adults. Parental CMDs pattern may provide valuable information in primary prevention of CVD in middle-aged adults.
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