Introduction: Physical examination skills are receiving less attention in curricula and clinical practice, being supplanted by imaging and other technologies. We developed an online module to introduce auscultation of common cardiac murmurs to second-year medical students.
Methods: The Murmur Online Learning Experience (MOLE) curriculum focused on nine common, unique, or highly testable cardiac murmurs, chosen collaboratively by the authors. The curriculum consisted of (1) a nine-item multiple-choice pretest containing a clinical vignette, a photo of stethoscope location, and an auditory clip; (2) nine modules each containing a several-minute-long auditory clip and a written description (location, quality, radiation, change with exam maneuvers); and (3) a nine-item multiple-choice posttest, identical to the pretest but randomly ordered. All second-year medical students at the University of Louisville were given access to MOLE during their cardiovascular curriculum and given an incentive to complete the ungraded activity.
Results: One hundred forty-seven (91.8%) students voluntarily completed the pretest and posttest. The mean pretest score was 3.76 out of 9 ( = 1.77). The mean posttest score was 7.14 out of 9 ( = 1.78). Paired -test results demonstrated a value of <.001.
Discussion: An online murmur curriculum consisting of repetitive auditory murmurs and narrative description of murmurs improved second-year medical students' ability to correctly identify common cardiac murmurs. This method of learning murmurs via online curriculum is a practical and effective way to hone students' physical exam skills in the modern era.
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http://dx.doi.org/10.15766/mep_2374-8265.10904 | DOI Listing |
Animals (Basel)
January 2025
Department of Veterinary Clinical Medicine, College of Veterinary Medicine, University of Illinois, 1008 West Hazelwood Drive, Urbana, IL 61802, USA.
Cardiac troponin-I (cTnI) is a highly sensitive and specific marker of myocardial injury detectable in plasma by immunoassay techniques. Inclusion criteria over a 3-year period required a diagnosis of cardiac disease accompanied by electrocardiographic (ECG) and cardiac ultrasound examinations (n = 23) in adult horses (≥2 years of age). A second group of normal adult ponies (n = 12) was studied as a reference group.
View Article and Find Full Text PDFBiomed Phys Eng Express
January 2025
Department of Health Science and Technology, Aalborg University, Selma Lagerløfs Vej 249, Aalborg, 9260, DENMARK.
Unlabelled: Fetal phonocardiography is a well-known auscultation technique for evaluation of fetal health. However, murmurs that are synchronous with the maternal heartbeat can often be heard while listening to fetal heart sounds. Maternal placental murmurs (MPM) could be used to detect maternal cardiovascular and placental abnormalities, but the recorded MPMs are often contaminated by ambient interference and noise.
View Article and Find Full Text PDFHeart
December 2024
Interventional Center of Valvular Heart Disease, Beijing Anzhen Hospital Affiliated to Capital Medical University, Beijing, China
Background: Subclinical leaflet thrombosis (SLT) is a common complication after transcatheter aortic valve replacement (TAVR). Multidimensional CT (MDCT) is the main imaging mortality for the diagnosis of SLT but it enhances the risk of contrast-induced nephropathy. Our study aimed to use an innovative wearable acoustic cardiography (ACG) device to diagnose SLT as an alternative option.
View Article and Find Full Text PDFPediatr Cardiol
December 2024
Department of Medical Biology, Faculty of Medicine, Mersin University, Mersin, Turkey.
Studies on the genetic basis of bicuspid aortic valve (BAV), characterized by a configuration of the aortic valve with two leaflets instead of three, are insufficient. This study aimed to elucidate the possible relationship between BAV and TGF-β1 gene expression levels. Forty-eight pediatric patients diagnosed with isolated BAV and 50 healthy children with innocent heart murmurs were included in the study.
View Article and Find Full Text PDFBiomed Phys Eng Express
December 2024
Department of Electronic and Telecommunication Engineering, University of Moratuwa, Katubedda, Moratuwa, 10400, SRI LANKA.
Cardiovascular diseases rank among the leading causes of mortality worldwide and the early identification of diseases is of paramount importance. This work focuses on developing a novel machine learning-based framework for early detection and classification of heart murmurs by analysing phonocardiogram signals. Our heart murmur detection and classification pipeline encompasses three classification settings.
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