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Diagonal earlobe crease and coronary artery disease in a Chinese population
Xing-Li Wu1, Ding-You Yang, Yu-Sheng Zhao
1Institute of Geriatric Cardiology, Chinese PLA General Hospital, Beijing, China. WXL301@yahoo.com.
Insights
Diagonal earlobe crease (DELC) is significantly associated with coronary artery disease (CAD) in Chinese populations. This finding is independent of traditional risk factors, suggesting DELC as a potential indicator for CAD.
Area of Science:
- Cardiology
- Medical Diagnostics
- Public Health
Background:
- The association between diagonal earlobe crease (DELC) and coronary artery disease (CAD) is widely reported.
- However, limited data exists regarding this association in Chinese populations.
Purpose of the Study:
- To investigate the relationship between DELC and CAD in a Chinese cohort.
- To assess the predictive performance of DELC for diagnosing CAD.
Main Methods:
- A cohort study involving 449 Chinese individuals (250 with CAD, 199 without).
- Coronary artery angiography was used for CAD certification.
- Chi-square, t-tests, multivariate regression, and ROC analysis were employed.
Main Results:
- DELC prevalence was significantly higher in patients with CAD (75.2%) compared to those without (46.2%).
- DELC was associated with more severe coronary artery stenosis.
- After adjusting for confounders, DELC remained a significant predictor of CAD (OR, 3.408; P < 0.001).
Conclusions:
- A significant association exists between DELC and CAD in the Chinese population.
- DELC is an independent predictor of CAD, irrespective of established risk factors.
Background:
Many reports have claimed associations between diagonal earlobe crease (DELC) and coronary artery disease (CAD), but data in Chinese populations are limited.
Methods:
This cohort study investigated 449 consecutive Chinese, 250 cases with CAD and 199 without CAD, who were certified by coronary artery angiography in our center. Characteristic differences and the relation of DELC to CAD were assessed by Chi-square and t tests. The multivariate regression was performed to adjust for confounders and ROCs mode were used to detect its predicting performance for CAD.
Results:
The prevalence of DELC was 46.2% in those without CAD and 75.2% in those with CAD (P < .001). Subjects with DELC had more stenostic vessels and higher prevalence of both any and significant coronary artery stenosis than those without DELC (P < .001). The sensitivity, specificity and positive and negative predictive values for DELC to diagnose CAD in the whole population were 0.752, 0.538, 0.671 and 0.633. The higher sensitivity and positive predictive values (ppv) were found in male, the lowest sensitivity and the highest ppv in the <45 years old group, and the lowest specificity and ppv in the >75 years old group. After adjusting for other variables including age, gender and traditional risk factors, DELC remained a positive predictor for CAD (OR, 3.408; 95% CI 2.235-5.196; P < 0.001), but not for hypertension, diabetes mellitus, hypercholesterolemia and hypertriglyceridemia. ROC analysis showed the area under the curve was 0.645 (95% CI 0.593-0.697, p < 0.001).
Conclusions:
The study showed a significant association between DELC and CAD independent of established risk factors in Chinese.
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