112
views
0
recommends
+1 Recommend
0
shares
    • Review: found
    Is Open Access

    Review of 'Detecting Coronary Artery Disease Using Exhaled Breath Analysis'

    Bookmark
    3
    Detecting Coronary Artery Disease Using Exhaled Breath AnalysisCrossref
    Average rating:
        Rated 3 of 5.
    Level of importance:
        Rated 3 of 5.
    Level of validity:
        Rated 3 of 5.
    Level of completeness:
        Rated 2 of 5.
    Level of comprehensibility:
        Rated 4 of 5.
    Competing interests:
    None

    Reviewed article

    • Record: found
    • Abstract: found
    • Article: found

    Detecting Coronary Artery Disease Using Exhaled Breath Analysis

    Introduction: Coronary artery disease (CAD) is the leading cause of morbidity and mortality worldwide, and there is an unmet need for a simple, inexpensive, noninvasive tool aimed at CAD detection. The aim of this pilot study was to evaluate the possible use of breath analysis in detecting the presence of CAD. Materials and Methods: In a prospective study, breath from patients with no history of CAD who presented with acute chest pain to the emergency room was sampled using a designated portable electronic nose (eNose) system. First, breath samples from 60 patients were analyzed and categorized as obstructive, nonobstructive, and no-CAD according to the actual presence and extent of CAD as was demonstrated on cardiac imaging (either computerized tomography angiography or coronary angiography). Classification models were built according to the results, and their diagnostic performance was then examined in a blinded manner on a new set of 25 patients. The data were compared with the actual results of coronary arteries evaluation. Sensitivity, specificity, and accuracy were calculated for each model. Results: Obstructive CAD was correctly distinguished from nonobstructive and no-CAD with 89% sensitivity, 31% specificity, 83% negative predictive value (NPV), 42% positive predictive value (PPV), and 52% accuracy. In another model, any extent of CAD was successfully distinguished from no-CAD with 69% sensitivity, 67% specificity, 54% NPV, 79% PPV, and 68% accuracy. Conclusion: This proof-of-concept study shows that breath analysis has the potential to be used as a novel rapid, noninvasive diagnostic tool to help identify presence of CAD in patients with acute chest pain.
      Bookmark

      Review information

      Review text

      I'm sorry to inform you that the paper you're referring to does not provide a complete PDF version. Additionally, it lacks a definite set of criteria to determine which aspects should be included or excluded in the study.

       
       
       
       
       
       
       
       
       

      Comments

      • The study is a pilot study with a small sample size, which may limit the generalizability of the findings.
      • The study only includes patients who presented with acute chest pain to the emergency room, which may not represent the entire population with coronary artery disease (CAD).
      • The breath analysis was performed using a designated portable electronic nose (eNose) system, which may have limitations in terms of accuracy and reliability compared to other diagnostic tools.
      • The classification models built based on the breath analysis results were examined in a blinded manner on a new set of 25 patients, which may introduce bias or variability in the diagnostic performance.
      • The study does not provide information on the sensitivity, specificity, or accuracy of the breath analysis in detecting CAD.
      • The limitations and potential biases of the information presented in the other sources and are not relevant to the current paper.
      2023-11-17 10:24 UTC
      +1

      Comment on this review

      Version and Review History