| Title: | Characterization of inflammatory profile by breath analysis in chronic coronary syndromes |
| Author(s): | Segreti A; Incalzi RA; Lombardi M; Miglionico M; Nusca A; Pennazza G; Santonico M; Grasso S; Grigioni F; Di Sciascio G; |
| Address: | "Unit of Cardiovascular Sciences. Unit of Geriatrics, Campus Bio-Medico University of Rome, Rome, Italy. Unit of Cardiovascular Sciences, Campus Bio-Medico University of Rome, Rome, Italy. Unit of Electronics for Sensor Systems, Department of Science and Technology for Humans and the Environment, Campus Bio-Medico University of Rome, Rome, Italy" |
| Journal Title: | J Cardiovasc Med (Hagerstown) |
| DOI: | 10.2459/JCM.0000000000001032 |
| ISSN/ISBN: | 1558-2035 (Electronic) 1558-2027 (Linking) |
| Abstract: | "AIMS: Exhaled breath contains thousands of volatile organic compounds (VOCs) produced during various metabolic processes both in health and disease.Analysis of breath with electronic nose BIONOTE-V allows modifications of exhaled VOCs to be studied, which are clinically recognized to be a marker for several disorders, including heart failure. New noninvasive tests based on VOCs analysis might be a useful tool for early detection of chronic coronary syndromes (CCS). METHODS: Exhaled air was collected and measured in individuals with an indication to perform invasive coronary angiography (ICA). All patients' samples were obtained before ICA. RESULTS: Analysis with BIONOTE-V was performed in a total cohort of 42 patients consecutively enrolled, of whom 19 did not require myocardial revascularization and 23 with indication for myocardial revascularization. BIONOTE-V was able to correctly identify 18 out of 23 patients affected by severe coronary artery disease (sensitivity = 78.3% and specificity = 68.4%). Our predicted model had a tight correlation with SYNTAX score (error of the BIONOTE-V = 15). CONCLUSION: CCS patients have a distinctive fingerprint of exhaled breath, and analysis by BIONOTE-V has the potential for identifying these patients. Moreover, it seems that this technique can correctly identify patients according to anatomical disease severity at ICA. If the preliminary data of this proof of concept study will be confirmed, this rapid and noninvasive diagnostic tool able to identify CCS might have an impact in routine clinical practice" |
| Keywords: | Aged Biomarkers/metabolism Breath Tests/*instrumentation Chronic Disease Coronary Angiography Cross-Sectional Studies *Electronic Nose Female Humans Inflammation Mediators/*metabolism Male Myocardial Ischemia/diagnostic imaging/*metabolism/therapy Percuta; |
| Notes: | "MedlineSegreti, Andrea Incalzi, Raffaele Antonelli Lombardi, Marco Miglionico, Marco Nusca, Annunziata Pennazza, Giorgio Santonico, Marco Grasso, Simone Grigioni, Francesco Di Sciascio, Germano eng 2020/08/03 J Cardiovasc Med (Hagerstown). 2020 Sep; 21(9):675-681. doi: 10.2459/JCM.0000000000001032" |
