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Characterization of inflammatory profile by breath analysis in chronic coronary syndromes.
Journal of Cardiovascular Medicine ( IF 3 ) Pub Date : 2020-09-01 , DOI: 10.2459/jcm.0000000000001032
Andrea Segreti 1 , Raffaele Antonelli Incalzi 2 , Marco Lombardi 1 , Marco Miglionico 1 , Annunziata Nusca 1 , Giorgio Pennazza 3 , Marco Santonico 4 , Simone Grasso 4 , Francesco Grigioni 1 , Germano Di Sciascio 1
Affiliation  

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.



中文翻译:

通过呼吸分析对慢性冠状动脉综合征的炎症特征进行表征。

目的 

呼气中含有数千种在健康和疾病中各种代谢过程中产生的挥发性有机化合物(VOC)。

用电子鼻BIONOTE-V进行的呼吸分析可以研究呼出的VOC的修饰形式,临床上公认这是多种疾病(包括心力衰竭)的标志物。基于VOCs分析的新的非侵入性测试可能是早期发现慢性冠状动脉综合征(CCS)的有用工具。

方法 

收集呼出的空气并进行个体测量,以进行有创冠状动脉造影(ICA)。所有患者的样品均在ICA之前获得。

结果 

在连续纳入的42例患者中进行了BIONOTE-V分析,其中19例不需要进行心肌血运重建,23例需要进行心肌血运重建。BIONOTE-V能够正确识别出受严重冠心病影响的23名患者中的18名(敏感性= 78.3%,特异性= 68.4%)。我们的预测模型与SYNTAX得分紧密相关(BIONOTE-V的误差= 15)。

结论 

CCS患者具有独特的呼气指纹,BIONOTE-V的分析具有识别这些患者的潜力。此外,似乎这种技术可以根据ICA的解剖疾病严重程度正确识别患者。如果将确认此概念验证研究的初步数据,则这种能够识别CCS的快速且无创的诊断工具可能会对常规临床实践产生影响。

更新日期:2020-08-03
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