• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

健康呼吸:基于光谱学的SARS-CoV-2检测呼气试验

Breath of Health: spectroscopy-based breath test for the detection of SARS-CoV-2.

作者信息

Padawer Dan, Qadan Abed, Karameh Mutaz, Darawshy Fares, Laor Arie, Banker Sinora, Fridlender Zvi G

机构信息

Institute of Pulmonary Medicine, Hadassah Medical Center, Jerusalem, Israel.

Department of Internal Medicine D, Hadassah Medical Center, Jerusalem, Israel.

出版信息

Infect Dis (Lond). 2024 May;56(5):376-383. doi: 10.1080/23744235.2024.2313020. Epub 2024 Feb 29.

DOI:10.1080/23744235.2024.2313020
PMID:38424673
Abstract

BACKGROUND

Nucleic acid amplification tests (NAAT) are considered the gold standard for COVID-19 diagnosis. These tests require professional manpower and equipment, long processing and swab sampling which is unpleasant to the patients. Several volatile organic compounds (VOCs) have been identified in the breath of COVID-19 patients. Detection of these VOCs using a breath test could help rapidly identify COVID-19 patients.

OBJECTIVE

Assess the accuracy of 'Breath of Health' (BOH) COVID-19 Fourier-transform infra-red (FTIR) Spectroscopy-based breath test.

METHODS

Breath samples from patients with or without symptoms suggestive for COVID-19 who had NAAT results were collected using Tedlar bags and were blindly analysed using BOH FTIR spectroscopy. BOH Measures several VOCs simultaneously and differentiating positive and negative results. BOH results were compared to NAAT results as gold standard.

RESULTS

Breath samples from 531 patients were analysed. The sensitivity of BOH breath test was found to be 79.5% and specificity was 87.2%. Positive predictive value (PPV) was 74.7% and negative predictive value (NPV) 90.0%. Calculated accuracy rate was 84.8% and area under the curve 0.834. Subgroup analysis revealed that the NPV of patients without respiratory symptoms was superior over the NPV of symptomatic patients (94.7% vs 80.7%, -value < 0.0001) and PPV of patients with respiratory symptoms outranks the PPV of individuals without symptoms (85.3% vs 69.2%, -value 0.0196).

CONCLUSION

We found BOH COVID-19 breath test to be a patient-friendly, rapid, non-invasive diagnostic test with high accuracy rate and NPV that could efficiently rule out COVID-19 especially among individuals with low pre-test probability.

摘要

背景

核酸扩增检测(NAAT)被认为是新冠病毒疾病(COVID-19)诊断的金标准。这些检测需要专业人员和设备,检测过程长,且咽拭子采样会让患者感到不适。在COVID-19患者的呼吸中已鉴定出几种挥发性有机化合物(VOC)。使用呼气测试检测这些VOC有助于快速识别COVID-19患者。

目的

评估基于“健康呼吸”(BOH)COVID-19傅里叶变换红外(FTIR)光谱的呼气测试的准确性。

方法

使用泰德拉袋收集有或无COVID-19症状提示且有NAAT检测结果的患者的呼气样本,并使用BOH FTIR光谱进行盲法分析。BOH可同时测量多种VOC并区分阳性和阴性结果。将BOH结果与作为金标准的NAAT结果进行比较。

结果

分析了531名患者的呼气样本。发现BOH呼气测试的敏感性为79.5%,特异性为87.2%。阳性预测值(PPV)为74.7%,阴性预测值(NPV)为90.0%。计算得出的准确率为84.8%,曲线下面积为0.834。亚组分析显示,无呼吸道症状患者的NPV优于有症状患者的NPV(94.7%对80.7%,P值<0.0001),有呼吸道症状患者的PPV高于无症状个体的PPV(85.3%对69.2%,P值0.0196)。

结论

我们发现BOH COVID-19呼气测试是一种对患者友好、快速、非侵入性的诊断测试,具有高准确率和NPV,可有效排除COVID-19,尤其是在检测前概率较低的个体中。

相似文献

1
Breath of Health: spectroscopy-based breath test for the detection of SARS-CoV-2.健康呼吸:基于光谱学的SARS-CoV-2检测呼气试验
Infect Dis (Lond). 2024 May;56(5):376-383. doi: 10.1080/23744235.2024.2313020. Epub 2024 Feb 29.
2
Detection of SARS-CoV-2 infection by exhaled breath spectral analysis: Introducing a ready-to-use point-of-care mass screening method.通过呼气光谱分析检测新型冠状病毒2019感染:引入一种即用型即时护理群体筛查方法。
EClinicalMedicine. 2022 Mar;45:101308. doi: 10.1016/j.eclinm.2022.101308. Epub 2022 Feb 19.
3
Breath testing for SARS-CoV-2 infection.呼吸检测 SARS-CoV-2 感染。
EBioMedicine. 2023 Jun;92:104584. doi: 10.1016/j.ebiom.2023.104584. Epub 2023 Apr 28.
4
Rapid, point-of-care antigen tests for diagnosis of SARS-CoV-2 infection.用于 SARS-CoV-2 感染诊断的快速、即时抗原检测。
Cochrane Database Syst Rev. 2022 Jul 22;7(7):CD013705. doi: 10.1002/14651858.CD013705.pub3.
5
Performance of an Antigen-Based Test for Asymptomatic and Symptomatic SARS-CoV-2 Testing at Two University Campuses - Wisconsin, September-October 2020.基于抗原的无症状和有症状 SARS-CoV-2 检测在两个大学校园的表现 - 威斯康星州,2020 年 9 月至 10 月。
MMWR Morb Mortal Wkly Rep. 2021 Jan 1;69(5152):1642-1647. doi: 10.15585/mmwr.mm695152a3.
6
Portable Breath-Based Volatile Organic Compound Monitoring for the Detection of COVID-19 During the Circulation of the SARS-CoV-2 Delta Variant and the Transition to the SARS-CoV-2 Omicron Variant.便携式呼吸挥发性有机化合物监测在 SARS-CoV-2 德尔塔变异株流行期间和向 SARS-CoV-2 奥密克戎变异株过渡期间用于 COVID-19 的检测。
JAMA Netw Open. 2023 Feb 1;6(2):e230982. doi: 10.1001/jamanetworkopen.2023.0982.
7
Exhaled VOCs can discriminate subjects with COVID-19 from healthy controls.呼出的挥发性有机化合物可区分 COVID-19 患者与健康对照者。
J Breath Res. 2022 May 6;16(3). doi: 10.1088/1752-7163/ac696a.
8
The potential of volatile organic compounds-based breath analysis for COVID-19 screening: a systematic review & meta-analysis.基于挥发性有机化合物的呼气分析在 COVID-19 筛查中的应用潜力:系统评价与荟萃分析。
Diagn Microbiol Infect Dis. 2022 Feb;102(2):115589. doi: 10.1016/j.diagmicrobio.2021.115589. Epub 2021 Oct 30.
9
A Rapid Antigen Detection Test to Diagnose SARS-CoV-2 Infection Using Exhaled Breath Condensate by A Modified Inflammacheck Device.一种使用改良 Inflammacheck 设备的呼气冷凝物快速抗原检测诊断 SARS-CoV-2 感染的方法。
Sensors (Basel). 2021 Aug 25;21(17):5710. doi: 10.3390/s21175710.
10
Machine learning enabled detection of COVID-19 pneumonia using exhaled breath analysis: a proof-of-concept study.机器学习助力呼出气体分析检测 COVID-19 肺炎:一项概念验证研究。
J Breath Res. 2024 Mar 13;18(2). doi: 10.1088/1752-7163/ad2b6e.

引用本文的文献

1
Application of Fourier transform infrared spectroscopy to exhaled breath analysis for detecting helicobacter pylori infection.傅里叶变换红外光谱在呼出气分析中用于检测幽门螺杆菌感染的应用。
Sci Rep. 2024 Dec 28;14(1):31542. doi: 10.1038/s41598-024-83360-0.