Abstract
Aims: Skin autofluorescence (SAF), a non-invasive measurement of the accumulation for glycation end products (AGEs) level of skin, has been reported as a useful marker for micro/macro vascular complications. However there is little data evaluating whether SAF can be the predictor of the patients with suspected a coronary artery disease (CAD) and indicating the coronary angiogram (CAG). The aim of this study was to evaluate association between SAF and CAD detected by CAG in the catheterization laboratory. Methods: From October/2013-March/2014, 333 patients with suspected the CAD and underwent CAG were enrolled prospectively. SAF were assessed with autofluorescence reader before CAG. Patients with the history of percutaneous coronary intervention, coronary artery bypass grafting were excluded. CAD was defined as if there was at least one coronary artery stenosis greater than or equal to 50% (AHA classification) by CAG. Association between SAF and existence of CAD was evaluated, and we also explored the relationship between SAF and number of diseased coronary artery. Results: Of the 333 patients, CAD was observed in 145 (43.5%) patients. In multivariate logistic regression analysis, age (odds ratio [OR]: 1.03; 95% con[[Unable to Display Character: &#64257;]]dence interval [CI]: 1.00 to 1.06; p = 0.049), gender (male as reference) (odds ratio [OR]: 0.46; 95% con[[Unable to Display Character: &#64257;]]dence interval [CI]: 0.28 to 0.75; p = 0.002), HbA1c (odds ratio [OR]: 1.45; 95% con[[Unable to Display Character: &#64257;]]dence interval [CI]: 1.10 to 1.91; p = 0.008) and SAF (odds ratio [OR]: 4.85; 95% con[[Unable to Display Character: &#64257;]]dence interval [CI]: 2.750 to 8.55; p <0.001) were considered to be the predictors of CAD. Furthermore patients with higher SAF showed more number of coronary artery disease (Figure 1). When we use the response variable greater equal to 2.3 to determine CAD, sensitivity is 0.655 (0.572, 0.732) and specificity is 0.713 (0.642, 0.776). Conclusions: SAF was independent predictor of CAD and showed a possibility of being the surrogate for the CAD as non-invasive methodology.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
