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. 2024 Jul 8:11:1415438.
doi: 10.3389/fcvm.2024.1415438. eCollection 2024.

The impact of fetuin-A on predicting aortic arch calcification: secondary analysis of a community-based survey

Yi-Hung Lin  1 , Meng-Hung Lin  2 , Chung-Sheng Shi  3 , Yu-Sheng Lin  1   3 , Chun-Liang Lin  3   4 , Yao-Hsu Yang  2   5   6 , Yu-San Liao  7 , Mei-Yen Chen  8   9 , Ming-Horng Tsai  3   10 , Ming-Shyan Lin  1   3   8
Affiliations

The impact of fetuin-A on predicting aortic arch calcification: secondary analysis of a community-based survey

Yi-Hung Lin et al. Front Cardiovasc Med. .

Abstract

Introduction: Atherosclerotic cardiovascular disease is associated with a high mortality rate due to vascular calcification. The role of fetuin-A in aortic arch calcification (AAC) is less well understood.

Methods: An analysis of secondary biomarkers was performed on 800 individuals from the biobank using the community database. AAC was defined by radiologists based on imaging. Multiple variables logical analysis was used for risk analysis.

Results: A total of 736 individual samples were collected based on age and gender. The average age is 65 ± 10 years, and half the population comprises men. In spite of similar body weight, renal function, and hepatic function, the AAC group had higher blood pressure and fetuin-A levels independently: systolic blood pressure (SBP) index ≥130 mmHg [adjusted odds ratio (aOR) 1.85, 95% confidence interval (CI) 1.34-2.57, p = 0.002] and fetuin-A (aOR 0.62, 95% CI 0.50-0.76, p < 0.001). Moreover, it is evident that AAC can be predicted more accurately when combined with SBP ≥130 mmHg and a low fetuin-A level (<358 μg/ml: aOR 5.39, 95% CI 3.21-9.08) compared with the reference.

Conclusion: Low fetuin-A levels are significantly correlated with AAC while there is an increased association between vascular calcification and coexisting hypertension.

Keywords: aortic arch; atherosclerosis; calcification; fetuin-A; hypertension.

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Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Figures

Figure 1
Figure 1
Enrollment of study subjects.
Figure 2
Figure 2
Conditional logistic analysis for AAC according to the cutoff values for the SBP and the fetuin-A.
Figure 3
Figure 3
Scatter bar chart of fetuin-A levels across non-AAC and AAC groups with different 8-OHdG levels.
Figure 4
Figure 4
Development of a predictive nomogram for predicting AAC probability.
See this image and copyright information in PMC

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