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Noninvasive mathematical analysis of spectral electrocardiographic components for coronary lesions of intermediate to obstructive stenosis severity–relationship with classic and functional SYNTAX score
Author(s) -
Takeshita Masahiro,
Shinoda Norihiro,
Takashima Hiroaki,
Kurita Akiyoshi,
Ando Hirohiko,
Harada Ken,
Uetani Tadayuki,
Gosho Masahiko,
Murohara Toyoaki,
Amano Tetsuya
Publication year - 2015
Publication title -
catheterization and cardiovascular interventions
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.988
H-Index - 116
eISSN - 1522-726X
pISSN - 1522-1946
DOI - 10.1002/ccd.25924
Subject(s) - medicine , fractional flow reserve , cardiology , odds ratio , coronary artery disease , stenosis , coronary angiography , ischemia , radiology , myocardial infarction
Objectives The aim of this study was to evaluate the relationship between the multifunction cardiogram (MCG), and SYNTAX score (SS) and functional SYNTAX score (FSS) in detecting the presence of intermediate to obstructive coronary lesions. Background Performing coronary angiography (CAG) and measuring fractional flow reserve (FFR) to calculate the SS and FSS is inherently invasive and adds complexity. Methods The MCG was obtained and analyzed before performing CAG in 87 consecutive subjects with suspected coronary artery disease who were scheduled for elective CAG. The patients were divided into three groups according to risk based on high, borderline, and low MCG scores. The SS was determined, as well as FSS but only by counting lesions prone to functional ischemia (FFR ≤ 0.8). The relationship between the MCG and the SS and FSS was evaluated. Results The MCG was the only test significantly associated with the SS (odds ratio, 2.92 [1.60 – 5.31], P < 0.001) and FSS (odds ratio, 3.66 [1.95 – 6.87], P < 0.001). A high MCG score had a specificity of 92.6% (89.0–96.2%) and 92.3% (89.0–95.6%), and a predictive accuracy of 72.4% (67.6–77.2%) and 82.8% (78.7–86.8%) for the prediction of SS and FSS, respectively. Conclusions The MCG showed high specificity and predictive accuracy especially for the FSS, suggesting that it is useful not only in identifying functionally significant ischemia but also in reducing unnecessary CAGs. © 2015 Wiley Periodicals, Inc.