Data Management And Sharing System of China National Clinical Research Center for Neurological Diseases
Relation of Ideal Cardiovascular Health Metrics to Asymptomatic Polyvascular Disease in a Chinese Population
First author：Qian Zhang,Ruixuan Jiang
Corresponding author：Xingquan Zhao,Shouling Wu
essential_information
- Person in charge：Qian Zhang,Ruixuan Jiang
- Data Sources： APAC
- Number of papers：APAC20190130
- Published time：2017-08-01
2017-08-01
Published articles
Journal：American Journal of Cardiology
Publication type: Original Contributions
IF(IF): 2.778
PMID: 28599801 Link To Pubmed Full text Download
Background And Purpose
Atherosclerosis is a systemic disease with manifestations in multiple vascular beds. Ideal cardiovascular health (CVH) metrics relate to cardiovascular and cerebrovascular disease. However, the relation between ideal CVH metrics and asymptomatic polyvascular disease (polyVD) is unknown.
Method
We collected information on the 7 CVH metrics among 5,224 par- ticipants aged ‡40 years from 2010 to 2011. Intracranial artery stenosis, extracranial artery stenosis, and lower extremity artery disease were detected by transcranial Doppler, duplex sonography, and by calculating ankle-brachial index. Ordinal logistic regression and linear models were used to analyze the relation between ideal CVH metrics and polyVD.
Conclusion
In conclusion, we observed a significant inverse gradient association between the number of ideal CVH metrics and prevalence of asymptomatic polyVD.
Main results
PolyVD was identified in 158 (3%) participants. We observed a significant inverse gradient relation between the number of ideal CVH metrics and prevalence of polyVD after adjustment for potential confounders. The adjusted odds ratios and 95% confidence intervals were 0.824 (0.657 to 1.032), 0.641 (0.511 to 0.804), 0.538 (0.423 to 0.684), 0.583 (0.442 to 0.769), and 0.530 (0.348 to 0.808) for those having 2, 3, 4, 5, and 6 or 7 ideal CVH metrics, respectively, compared with those having 0 or 1 ideal CVH metric (p-trend <0.0001). Similarly, a larger number of ideal CVH metrics was associated with a lower prevalence of polyVD in the linear models (adjusted b coefficient L0.030, 95% confidence interval L0.041 to L0.020). Stratification for gender and age yielded consistent results in all subgroups except for women subgroup.