Mobile Phone Auscultation Accurately Diagnoses Chronic Obstructive Pulmonary Disease Using Nonlinear Respiratory Biofluid Dynamics

Strategic Insights -

A novel diagnostic test for chronic obstructive pulmonary disease (COPD) has been developed using mobile phone auscultation, offering a potential solution for regions where gold standard pulmonary function testing with spirometry is limited. Researchers at the University of Louisville have created a COPD detection technology that utilizes mobile phone auscultation to detect the disease, enabling accurate diagnosis in situations where spirometry is not available. This study collected mobile phone auscultation data from 108 patients, of which 52 had confirmed COPD and 56 did not, and demonstrated that the technology can accurately determine COPD diagnosis with 90%+ AUC and sensitivity.

Key Takeaways:

  • The study developed a COPD detection technology using mobile phone auscultation, which can accurately diagnose COPD in situations where spirometry is not available.
  • The technology uses Time Series Dynamics (TSD) software to model the respiratory biofluid dynamics implied by the acoustic data collected through mobile phone auscultation.
  • The study enrolled 108 patients, with 52 confirmed COPD and 56 non-COPD cases, and demonstrated a significant difference in results between the two cohorts.
  • The technology produced excellent results with 90%+ AUC and sensitivity in both the test and train sets relative to the gold standard.
  • The study suggests that a mobile phone auscultation device can improve the detection of COPD, a condition with significant over- and under-diagnosis.
  • Future trials will investigate the ability of patients to self-record and the potential for remote COPD testing using transmitted telehealth recording data.

Statistics:

  • 108 patients were enrolled in the study, with 34.3% male and a median age of 61 years.
  • 64 (59.3%) of the enrolled patients identified as White, 43 (39.8%) as Black, and 1 as Asian.
  • The cohorts differed significantly in age (p < 0.01) and body mass index (BMI), but not in race, number of comorbidities, or COPD assessment test scores.
  • 52 subjects had confirmed COPD and 56 did not, with significant differences in forced expiratory volume in 1 s (FEV1) and the FEV1/FVC ratio but not FVC.
  • The technology achieved an accuracy of 90%+ in the test and train sets relative to the gold standard.

Sources:

  • University of Louisville
  • National Heart, Lung, and Blood Institute (NHLBI)
  • National Institutes of Health (NIH)
  • MDPI AG (publisher of Diagnostics journal)
  • Diagnostics journal (https://www.mdpi.com/journal/diagnostics)
  • Caroline Emily Gosser (Department of Emergency Medicine, University of Louisville)
  • Luther Daniel, Martin Huecker, Rodrigo Cavallazzi, Hiram Rivas, Jarred Jeremy Thomas, and Ryan Close (co-authors of the study)
  • NewsRx LLC (copyright holder)