Incremental value of diagonal earlobe crease to the diamond-forrester classification in estimating the probability of significant coronary artery disease determined by computed tomographic angiography

Haim Shmilovich, Victor Y. Cheng, Ryo Nakazato, Thomas W R Smith, Yuka Otaki, Rine Nakanishi, William Paz, Raymond T. Pimentel, Daniel S. Berman, Ronak Rajani

Research output: Contribution to journalArticle

3 Citations (Scopus)

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.

Original languageEnglish (US)
Pages (from-to)1670-1675
Number of pages6
JournalAmerican Journal of Cardiology
Volume114
Issue number11
DOIs
StatePublished - Dec 1 2014

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Diamond
Coronary Artery Disease
Angiography
Area Under Curve
Chest Pain
Multivariate Analysis
Odds Ratio
Confidence Intervals
ROC Curve
Pathologic Constriction
Logistic Models
Regression Analysis
Sensitivity and Specificity

ASJC Scopus subject areas

  • Cardiology and Cardiovascular Medicine
  • Medicine(all)

Cite this

Incremental value of diagonal earlobe crease to the diamond-forrester classification in estimating the probability of significant coronary artery disease determined by computed tomographic angiography. / Shmilovich, Haim; Cheng, Victor Y.; Nakazato, Ryo; Smith, Thomas W R; Otaki, Yuka; Nakanishi, Rine; Paz, William; Pimentel, Raymond T.; Berman, Daniel S.; Rajani, Ronak.

In: American Journal of Cardiology, Vol. 114, No. 11, 01.12.2014, p. 1670-1675.

Research output: Contribution to journalArticle

Shmilovich, Haim ; Cheng, Victor Y. ; Nakazato, Ryo ; Smith, Thomas W R ; Otaki, Yuka ; Nakanishi, Rine ; Paz, William ; Pimentel, Raymond T. ; Berman, Daniel S. ; Rajani, Ronak. / Incremental value of diagonal earlobe crease to the diamond-forrester classification in estimating the probability of significant coronary artery disease determined by computed tomographic angiography. In: American Journal of Cardiology. 2014 ; Vol. 114, No. 11. pp. 1670-1675.
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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.",
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AU - Shmilovich, Haim

AU - Cheng, Victor Y.

AU - Nakazato, Ryo

AU - Smith, Thomas W R

AU - Otaki, Yuka

AU - Nakanishi, Rine

AU - Paz, William

AU - Pimentel, Raymond T.

AU - Berman, Daniel S.

AU - Rajani, Ronak

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AB - 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.

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