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1.
Am J Cardiol ; 114(11): 1670-5, 2014 Dec 01.
Article in English | MEDLINE | ID: mdl-25288500

ABSTRACT

The Diamond-Forrester (DF) algorithm overestimates the likelihood of significant coronary artery disease (≥50% stenosis, CAD50). The aim of the present study was to evaluate whether the addition of a diagonal earlobe crease (DELC) enhances the predictive ability of DF to detect CAD50 by coronary computed tomographic angiography (CTA). We evaluated 430 patients referred for CTA for symptoms, cardiovascular risk factors, and CAD50 likelihood using DF. Observers blinded to CTA findings evaluated the presence of DELC. The diagnostic accuracy and relation of DF, DELC, and DF + DELC for predicting CAD50 in patients with chest pain were evaluated using receiver operating characteristics curve (area under curve) analyses and multivariate logistic regression analyses. In 199 patients with chest pain, the sensitivity and specificity for CAD50 were 96% and 20% for DF (AUC 0.59, p = 0.59), 91% and 32% for DELC (AUC 0.62, p = 0.03), and 91% and 41% for DF + DELC (AUC 0.66, p = 0.004). On multivariate analyses DELC was the only independent predictor of CAD50 (odds ratio 3.6, 95% confidence interval 1 to 12.9, p = 0.048). DF + DELC increased the predictive ability to detect CAD50 above cardiovascular risk factors (odds ratio 5.6, 95% confidence interval 1.6 to 19.8, p = 0.007). In patients with chest pain, the presence of DELC is related to CAD50 beyond DF. A combined variable of DF + DELC provides superior discriminatory ability for detecting CAD50 than either method alone.


Subject(s)
Algorithms , Coronary Artery Disease/diagnosis , Coronary Stenosis/diagnosis , Ear Auricle/anatomy & histology , Aged , Chest Pain/etiology , Cohort Studies , Coronary Angiography , Coronary Artery Disease/complications , Coronary Artery Disease/diagnostic imaging , Coronary Stenosis/complications , Coronary Stenosis/diagnostic imaging , Female , Humans , Logistic Models , Male , Middle Aged , Multivariate Analysis , Physical Examination , Predictive Value of Tests , Prospective Studies , ROC Curve , Risk Assessment , Sensitivity and Specificity , Tomography, X-Ray Computed
2.
Am J Cardiol ; 109(9): 1283-7, 2012 May 01.
Article in English | MEDLINE | ID: mdl-22335855

ABSTRACT

Controversy exists concerning the relation between diagonal ear lobe crease (DELC) and coronary artery disease (CAD). We examined whether DELC is associated with CAD using coronary computed tomography (CT) angiography. We studied 430 consecutive patients without a history of coronary artery intervention who underwent CT angiography on a dual-source scanner. Presence of DELC was agreed by 2 blinded observers. Two blinded readers evaluated CT angiography images for presence of CAD and for significant CAD (≥50% stenosis). Chi-square and t tests were used to assess demographic differences between subgroups with and without DELC and the relation of DELC to 4 measurements of CAD: any CAD, significant CAD, multivessel disease (cutoff ≥2), and number of segments with plaque (cutoff ≥3). Multivariable logistic regression was performed to adjust for CAD confounders: age, gender, symptoms, and CAD risk factors. Mean age was 61 ± 13 and 61% were men. DELC was found in 71%, any CAD in 71%, and significant CAD in 17% of patients. After adjusting for confounders, DELC remained a significant predictor of all 4 measurements of CAD (odds ratio 1.8 to 3.3, p = 0.002 to 0.017). Sensitivity, specificity, and positive and negative predictive values for DELC in detecting any CAD were 78%, 43%, 77%, and 45%. Test accuracy was calculated at 67%. Area under the receiver operator characteristic curve was 61% (p = 0.001). In conclusion, in this study of patients imaged with CT angiography, finding DELC was independently and significantly associated with increased prevalence, extent, and severity of CAD.


Subject(s)
Coronary Angiography/methods , Coronary Artery Disease/diagnostic imaging , Ear Auricle/anatomy & histology , Tomography, X-Ray Computed/methods , Female , Follow-Up Studies , Humans , Male , Middle Aged , Severity of Illness Index
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