The Evolving Stethoscope: Insights Derived from Studying Phonocardiography in Trainees.
Matthew A NazariJaeil AhnRichard CollierJoby JacobHalen HeussnerTara Doucet-O'HareKarel PacakVenkatesh RamanErin FarrishPublished in: Sensors (Basel, Switzerland) (2024)
Phonocardiography (PCG) is used as an adjunct to teach cardiac auscultation and is now a function of PCG-capable stethoscopes (PCS). To evaluate the efficacy of PCG and PCS, the authors investigated the impact of providing PCG data and PCSs on how frequently murmurs, rubs, and gallops (MRGs) were correctly identified by third-year medical students. Following their internal medicine rotation, third-year medical students from the Georgetown University School of Medicine completed a standardized auscultation assessment. Sound files of 10 different MRGs with a corresponding clinical vignette and physical exam location were provided with and without PCG (with interchangeable question stems) as 10 paired questions (20 total questions). Some (32) students also received a PCS to use during their rotation. Discrimination/difficulty indexes, comparative chi-squared, and McNemar test p -values were calculated. The addition of phonocardiograms to audio data was associated with more frequent identification of mitral stenosis, S4, and cardiac friction rub, but less frequent identification of ventricular septal defect, S3, and tricuspid regurgitation. Students with a PCS had a higher frequency of identifying a cardiac friction rub. PCG may improve the identification of low-frequency, usually diastolic, heart sounds but appears to worsen or have little effect on the identification of higher-frequency, often systolic, heart sounds. As digital and phonocardiography-capable stethoscopes become more prevalent, insights regarding their strengths and weaknesses may be incorporated into medical school curricula, bedside rounds (to enhance teaching and diagnosis), and telemedicine/tele-auscultation efforts.
Keyphrases
- left ventricular
- medical students
- heart failure
- aortic stenosis
- mitral valve
- blood pressure
- bioinformatics analysis
- physical activity
- mental health
- aortic valve
- high school
- electronic health record
- left atrial
- atrial fibrillation
- primary care
- machine learning
- coronary artery disease
- transcatheter aortic valve replacement
- quality improvement
- ejection fraction
- atomic force microscopy