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通过呼吸分析对慢性冠状动脉综合征进行炎症特征分析。

Characterization of inflammatory profile by breath analysis in chronic coronary syndromes.

机构信息

Unit of Cardiovascular Sciences.

Unit of Geriatrics, Campus Bio-Medico University of Rome, Rome, Italy.

出版信息

J Cardiovasc Med (Hagerstown). 2020 Sep;21(9):675-681. doi: 10.2459/JCM.0000000000001032.

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.

摘要

目的

呼气中包含数千种挥发性有机化合物(VOCs),这些化合物是在健康和疾病状态下各种代谢过程中产生的。电子鼻 BIONOTE-V 分析呼气中的 VOCs,可以研究这些 VOCs 的变化,这些变化被临床认为是多种疾病的标志物,包括心力衰竭。基于 VOCs 分析的新型非侵入性测试可能是早期检测慢性冠状动脉综合征(CCS)的有用工具。

方法

对有进行有创冠状动脉造影(ICA)指征的个体进行呼气空气采集和测量。所有患者的样本均在 ICA 前获得。

结果

对连续纳入的 42 例患者进行了 BIONOTE-V 分析,其中 19 例不需要进行心肌血运重建,23 例有心肌血运重建指征。BIONOTE-V 能够正确识别 23 例严重冠状动脉疾病患者中的 18 例(敏感性为 78.3%,特异性为 68.4%)。我们的预测模型与 SYNTAX 评分紧密相关(BIONOTE-V 的误差为 15)。

结论

CCS 患者的呼气具有独特的指纹特征,BIONOTE-V 分析有可能识别这些患者。此外,根据 ICA 时的解剖学疾病严重程度,该技术似乎能够正确识别患者。如果这项概念验证研究的初步数据得到证实,那么这种能够识别 CCS 的快速非侵入性诊断工具可能会对常规临床实践产生影响。

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