The Role of Electronic Noses in Phenotyping Patients with Chronic Obstructive Pulmonary Disease

Scarlata, Simone; Finamore, Panaiotis; Mészáros, Martina; Dragonieri, Silvano; Bikov, András

doi:10.3390/bios10110171

Cited by 13 publications

(8 citation statements)

References 122 publications

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“…Another valuable review summarizes the role electronic noses play in distinguishing different endotypes by using VOCs in exhaled breath; breath sampling and metabolism of VOC biomarkers are also summarized [ 111 ].…”

Section: Analytical Platforms Used For Investigating Breath Volatimentioning

confidence: 99%

Volatile Organic Compounds in Exhaled Breath as Fingerprints of Lung Cancer, Asthma and COPD

Rațiu

Ligor

Bocoş-Binţinţan

et al. 2020

JCM

105

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Lung cancer, chronic obstructive pulmonary disease (COPD) and asthma are inflammatory diseases that have risen worldwide, posing a major public health issue, encompassing not only physical and psychological morbidity and mortality, but also incurring significant societal costs. The leading cause of death worldwide by cancer is that of the lung, which, in large part, is a result of the disease often not being detected until a late stage. Although COPD and asthma are conditions with considerably lower mortality, they are extremely distressful to people and involve high healthcare overheads. Moreover, for these diseases, diagnostic methods are not only costly but are also invasive, thereby adding to people’s stress. It has been appreciated for many decades that the analysis of trace volatile organic compounds (VOCs) in exhaled breath could potentially provide cheaper, rapid, and non-invasive screening procedures to diagnose and monitor the above diseases of the lung. However, after decades of research associated with breath biomarker discovery, no breath VOC tests are clinically available. Reasons for this include the little consensus as to which breath volatiles (or pattern of volatiles) can be used to discriminate people with lung diseases, and our limited understanding of the biological origin of the identified VOCs. Lung disease diagnosis using breath VOCs is challenging. Nevertheless, the numerous studies of breath volatiles and lung disease provide guidance as to what volatiles need further investigation for use in differential diagnosis, highlight the urgent need for non-invasive clinical breath tests, illustrate the way forward for future studies, and provide significant guidance to achieve the goal of developing non-invasive diagnostic tests for lung disease. This review provides an overview of these issues from evaluating key studies that have been undertaken in the years 2010–2019, in order to present objective and comprehensive updated information that presents the progress that has been made in this field. The potential of this approach is highlighted, while strengths, weaknesses, opportunities, and threats are discussed. This review will be of interest to chemists, biologists, medical doctors and researchers involved in the development of analytical instruments for breath diagnosis.

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Section: Analytical Platforms Used For Investigating Breath Volatimentioning

confidence: 99%

Volatile Organic Compounds in Exhaled Breath as Fingerprints of Lung Cancer, Asthma and COPD

Rațiu

Ligor

Bocoş-Binţinţan

et al. 2020

JCM

105

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“…The intervention measures in the experimental group were satisfied with the patients and promoted. Although 72 COPD patients withdrew from the clinical trial due to dissatisfaction with the evaluation criteria of Internet problems after the beginning of the study, as shown in Table 1 , the test results preliminarily confirmed the effectiveness of AI medical treatment [ 18 ].…”

Section: Results and Analysismentioning

confidence: 99%

Application of Artificial Intelligence in Emergency Nursing of Patients with Chronic Obstructive Pulmonary Disease

Hong¹,

Cheng²,

De-ming³

2021

Contrast Media & Molecular Imaging

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The research achievements of artificial intelligence technology in the development of chronic obstructive pulmonary disease were explored, and the advantages and problems encountered in the development of intelligent nursing were analyzed. This paper presents the application of artificial intelligence in the emergency care of patients with chronic obstructive pulmonary disease. The method included 447 COPD patients in a randomized controlled trial to observe the improvement of quality of life at 4 and 12 months after artificial intelligence medical intervention. A prospective randomized controlled trial included 101 patients with COPD who underwent a 9-month web-based knowledge exercise on the prevention of acute exacerbation of COPD through artificial intelligence medicine and were randomly divided into two groups: the experimental group and the control group. The results show that, in the experimental group and the control group, after 4 months, the quality of life does not change; after 12 months, compared with controls, the quality of life and emotional and psychological conditions have improved obviously. 29 patients who participated in the experiment and were randomly divided into the experimental group and the control group showed satisfactory results. COPD hospitalized rate and length of hospital stay were decreased in the experimental group than in the control group. For single-factor analysis, artificial intelligence medical intervention has not achieved significant significance, and the experimental results have preliminarily confirmed the effectiveness of artificial intelligence medical treatment.

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“…Patients with COPD are mostly at older age and lose skeletal muscle mass. Hence, acetone, as exhaled VOC, that is affected by age and metabolism will get impact not only by the disease itself, but also age [20]. Shahzad et al, found the mean level of exhaled acetone in healthy subjects was higher than in COPD patients (0.66 ppm vs 0.50 ppm) [21].…”

Section: Discussionmentioning

confidence: 99%

Detection of Volatile Organic Compounds (Voc) in COPD Patients and Its Correlation with Serum Leukotriene B4 and Neutrophil

et al. 2023

IJFMR

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The Role of Electronic Noses in Phenotyping Patients with Chronic Obstructive Pulmonary Disease

Cited by 13 publications

References 122 publications

Volatile Organic Compounds in Exhaled Breath as Fingerprints of Lung Cancer, Asthma and COPD

Volatile Organic Compounds in Exhaled Breath as Fingerprints of Lung Cancer, Asthma and COPD

Application of Artificial Intelligence in Emergency Nursing of Patients with Chronic Obstructive Pulmonary Disease

Detection of Volatile Organic Compounds (Voc) in COPD Patients and Its Correlation with Serum Leukotriene B4 and Neutrophil

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