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Correlation Between Quantitative Angiography–Derived Translesional Pressure and Fractional Flow Reserve: Comments on Predictability Power
READERS’ COMMENTS Correlation Between Quantitative AngiographyeDerived Translesional Pressure and Fractional Flow Reserve: Comments on Predictability Power We read the study by Seike et al1 that was published in The American Journal of Cardiology July 2016. The investigators aimed to evaluate the clinical usefulness of quantitative coronary angiographyederived translesional pressure (QCA-TP) for predicting functional myocardial ischemia, using FFR as the gold standard. The predictability power of QCA-TP for myocardial ischemia is still questionable unless the prediction model be validated internally using bootstrapping validation like other studies2 or be validated externally using split validation and cross validation.3 The investigators point out in their results that the area under the curve of QCA-TP for functional myocardial ischemia based on FFR for the left
anterior descending artery, the left circumflex artery, and the right were 0.93, 88 and 94, respectively. Clinically it is important to differentiate predictability power of QCA-TP for the left anterior descending artery, the left circumflex artery and the right from each other. Whether predictability power of QCA-TP for the left anterior descending arteries is better than another? We suggest that the authors consider reanalyzing their data to test the statistically difference between area under the curves using statistical methods such as Hanely and McNeil or DeLong.4,5
Am J Cardiol 2016;-:1 0002-9149/16/$ - see front matter Ó 2016 Elsevier Inc. All rights reserved.
Sanandaj, Iran 19 September 2016
Salman Khazaei, PhDc Hamadan, Iran
1. Seike F, Uetani T, Nishimura K, Iio C, Kawakami H, Fujimoto K, Higashi H, Kono T, Aono J, Nagai T, Inoue K, Suzuki J, Ogimoto A, Okura T, Yasuda K, Higaki J, Ikeda S. Correlation between quantitative angiographyderived translesional pressure and fractional flow reserve. Am J Cardiol 2016 (in press). 2. Badagliacca R, Papa S, Valli G, Pezzuto B, Poscia R, Manzi G, Giannetta E, Sciomer S, Palange P, Naeije R, Fedele F, Vizza CD. Echocardiography combined with cardiopulmonary exercise testing for the prediction of outcome in idiopathic pulmonary arterial hypertension. Chest 2016. http://dx.doi.org/10.1016/j.chest.2016.07. 036 [Epub ahead of print]. 3. Steyerberg E. Clinical Prediction Models: A Practical Approach to Development, Validation, and Updating. New York: Springer Science & Business Media; 2008. 4. DeLong ER, DeLong DM, Clarke-Pearson DL. Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach. Biometrics 1988:837e845. 5. Hanley JA, McNeil BJ. The meaning and use of the area under a receiver operating characteristic (ROC) curve. Radiology 1982;143:29e36.
Kamyar Mansori, PhDc Tehran, Iran
http://dx.doi.org/10.1016/j.amjcard.2016.10.002
Erfan Ayubi, PhDc Tehran, Iran Mohadeseh Sani, BS Zabol, Iran
www.ajconline.org
anterior descending artery, the left circumflex artery, and the right were 0.93, 88 and 94, respectively. Clinically it is important to differentiate predictability power of QCA-TP for the left anterior descending artery, the left circumflex artery and the right from each other. Whether predictability power of QCA-TP for the left anterior descending arteries is better than another? We suggest that the authors consider reanalyzing their data to test the statistically difference between area under the curves using statistical methods such as Hanely and McNeil or DeLong.4,5
Am J Cardiol 2016;-:1 0002-9149/16/$ - see front matter Ó 2016 Elsevier Inc. All rights reserved.
Sanandaj, Iran 19 September 2016
Salman Khazaei, PhDc Hamadan, Iran
1. Seike F, Uetani T, Nishimura K, Iio C, Kawakami H, Fujimoto K, Higashi H, Kono T, Aono J, Nagai T, Inoue K, Suzuki J, Ogimoto A, Okura T, Yasuda K, Higaki J, Ikeda S. Correlation between quantitative angiographyderived translesional pressure and fractional flow reserve. Am J Cardiol 2016 (in press). 2. Badagliacca R, Papa S, Valli G, Pezzuto B, Poscia R, Manzi G, Giannetta E, Sciomer S, Palange P, Naeije R, Fedele F, Vizza CD. Echocardiography combined with cardiopulmonary exercise testing for the prediction of outcome in idiopathic pulmonary arterial hypertension. Chest 2016. http://dx.doi.org/10.1016/j.chest.2016.07. 036 [Epub ahead of print]. 3. Steyerberg E. Clinical Prediction Models: A Practical Approach to Development, Validation, and Updating. New York: Springer Science & Business Media; 2008. 4. DeLong ER, DeLong DM, Clarke-Pearson DL. Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach. Biometrics 1988:837e845. 5. Hanley JA, McNeil BJ. The meaning and use of the area under a receiver operating characteristic (ROC) curve. Radiology 1982;143:29e36.
Kamyar Mansori, PhDc Tehran, Iran
http://dx.doi.org/10.1016/j.amjcard.2016.10.002
Erfan Ayubi, PhDc Tehran, Iran Mohadeseh Sani, BS Zabol, Iran
www.ajconline.org