Automated analysis of heart sound signals in screening for structural heart disease in children.

Our aim was to investigate the ability of an artificial intelligence (AI)-based algorithm to differentiate innocent murmurs from pathologic ones. An AI-based algorithm was developed using heart sound recordings collected from 1413 patients at the five university hospitals in Finland. The corresponding heart condition was verified using echocardiography. In the second phase of the study, patients referred to Helsinki New Children's Hospital due to a heart murmur were prospectively assessed with the algorithm, and then the results were compared with echocardiography findings. Ninety-eight children were included in this prospective study. The algorithm classified 72 (73%) of the heart sounds as normal and 26 (27%) as abnormal. Echocardiography was normal in 63 (64%) children and abnormal in 35 (36%). The algorithm recognized abnormal heart sounds in 24 of 35 children with abnormal echocardiography and normal heart sounds with normal echocardiography in 61 of 63 children. When the murmur was audible, the sensitivity and specificity of the algorithm were 83% (24/29) (confidence interval (CI) 64-94%) and 97% (59/61) (CI 89-100%), respectively. CONCLUSION: The algorithm was able to distinguish murmurs associated with structural cardiac anomalies from innocent murmurs with good sensitivity and specificity. The algorithm was unable to identify heart defects that did not cause a murmur. Further research is needed on the use of the algorithm in screening for heart murmurs in primary health care. WHAT IS KNOWN: • Innocent murmurs are common in children, while the incidence of moderate or severe congenital heart defects is low. Auscultation plays a significant role in assessing the need for further examinations of the murmur. The ability to differentiate innocent murmurs from those related to congenital heart defects requires clinical experience on the part of general practitioners. No AI-based auscultation algorithms have been systematically implemented in primary health care. WHAT IS NEW: • We developed an AI-based algorithm using a large dataset of sound samples validated by echocardiography. The algorithm performed well in recognizing pathological and innocent murmurs in children from different age groups.

Major congenital heart defects are rarely diagnosed after newborns' hospital discharge with modern screening.

AIM: Our aim was to assess undiagnosed congenital heart defects (CHD) after newborns' hospital discharge in patients with a murmur or CHD suspicion, to find out the signs that predict CHDs and to estimate the costs of the examinations. METHODS: We reviewed retrospective medical records of patients (n = 490) referred for the evaluation of CHD suspicion during 2017-2018. RESULTS: The median age of the patients was 2.5 (IQR 0.5-7.4) years. Sixty-three (13%) patients had an abnormal echocardiography. Neither ductal-dependent nor cyanotic CHDs were found. Cardiac interventions were performed for 14 out of 63 (22%) patients. Clinical signs indicating CHDs were murmur grade ≥3 (10/11 [91%] vs. 53/479 [11%], p < 0.001) and harsh murmur (15/44 [34%] vs. 48/446 [11%], p < 0.001). Abnormal electrocardiography did not indicate CHD (8/40 [20%] vs. 55/447 [12%], p = 0.165). The total cost of the examinations was 259 700€. The share of the cost of studies assessed as benign was 59%. CONCLUSION: Only a few CHDs were found after newborn hospital discharge among patients who received foetal and newborn screening and were examined due to CHD suspicion. The high number of benign murmurs in children leads to many referrals, resulting in unnecessary healthcare costs.

The Evolving Stethoscope: Insights Derived from Studying Phonocardiography in Trainees.

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.

Extraction and assessment of diagnosis-relevant features for heart murmur classification.

This paper presents a heart murmur detection and multi-class classification approach via machine learning. We extracted heart sound and murmur features that are of diagnostic importance and developed additional 16 features that are not perceivable by human ears but are valuable to improve murmur classification accuracy. We examined and compared the classification performance of supervised machine learning with k-nearest neighbor (KNN) and support vector machine (SVM) algorithms. We put together a test repertoire having more than 450 heart sound and murmur episodes to evaluate the performance of murmur classification using cross-validation of 80-20 and 90-10 splits. As clearly demonstrated in our evaluation, the specific set of features chosen in our study resulted in accurate classification consistently exceeding 90% for both classifiers.

Quantifying the Effect of Body Habitus on Cardiac Auscultation Via Computational Hemoacoustics.

The effect of body habitus on auscultation of heart murmurs is investigated via computational hemoacoustic modeling. The source of the heart murmur is first obtained from a hemodynamic simulation of blood flow through a stenosed aortic valve. This sound source is then placed at the aortic valve location in four distinct human thorax models, and the propagation of the murmur in each thorax model is simulated by solving the elastic wave equations in the time-domain. Placing the same sound source in different thorax models allows for the disambiguation of the effect of body habitus on cardiac auscultation. The surface acceleration resulting from the murmur on each subject's chest surface shows that subjects with higher body-mass index and thoracic cross-sectional area yield smaller acceleration values for the S1 sound. Moreover, the spectral analysis of the signal shows that slope from linear regression in the normal heart sound frequency range (10-150 Hz) is larger for children at the aortic, pulmonic, and mitral auscultation points compared to that for adults. The slope in the murmur frequency range (150-400 Hz) was larger for female subjects at the mitral point compared to that for male subjects. The trends from the results show the potential of the proposed computational method to provide quantitative insights regarding the effect of various anatomical factors on cardiac auscultation.

Feasibility of Digital Stethoscopes in Telecardiology Visits for Interstage Monitoring in Infants with Palliated Congenital Heart Disease.

Infants with staged surgical palliation for congenital heart disease are at high-risk for interstage morbidity and mortality. Interstage telecardiology visits (TCV) have been effective in identifying clinical concerns and preventing unnecessary emergency department visits in this high-risk population. We aimed to assess the feasibility of implementing auscultation with digital stethoscopes (DSs) during TCV and the potential impact on interstage care in our Infant Single Ventricle Monitoring & Management Program. In addition to standard home-monitoring practice for TCV, caregivers received training on use of a DS (Eko CORE attachment assembled with Classic II Infant Littman stethoscope). Sound quality of the DS and comparability to in-person auscultation were evaluated based on two providers' subjective assessment. We also evaluated provider and caregiver acceptability of the DS. From 7/2021 to 6/2022, the DS was used during 52 TCVs in 16 patients (median TCVs/patient: 3; range: 1-8), including 7 with hypoplastic left heart syndrome. Quality of heart sounds and murmur auscultation were subjectively equivalent to in-person findings with excellent inter-rater agreement (98%). All providers and caregivers reported ease of use and confidence in evaluation with the DS. In 12% (6/52) of TCVs, the DS provided additional significant information compared to a routine TCV; this expedited life-saving care in two patients. There were no missed events or deaths. Use of a DS during TCV was feasible in this fragile cohort and effective in identifying clinical concerns with no missed events. Longer term use of this technology will further establish its role in telecardiology.

StethAid: A Digital Auscultation Platform for Pediatrics.

(1) Background: Mastery of auscultation can be challenging for many healthcare providers. Artificial intelligence (AI)-powered digital support is emerging as an aid to assist with the interpretation of auscultated sounds. A few AI-augmented digital stethoscopes exist but none are dedicated to pediatrics. Our goal was to develop a digital auscultation platform for pediatric medicine. (2) Methods: We developed StethAid-a digital platform for artificial intelligence-assisted auscultation and telehealth in pediatrics-that consists of a wireless digital stethoscope, mobile applications, customized patient-provider portals, and deep learning algorithms. To validate the StethAid platform, we characterized our stethoscope and used the platform in two clinical applications: (1) Still's murmur identification and (2) wheeze detection. The platform has been deployed in four children's medical centers to build the first and largest pediatric cardiopulmonary datasets, to our knowledge. We have trained and tested deep-learning models using these datasets. (3) Results: The frequency response of the StethAid stethoscope was comparable to those of the commercially available Eko Core, Thinklabs One, and Littman 3200 stethoscopes. The labels provided by our expert physician offline were in concordance with the labels of providers at the bedside using their acoustic stethoscopes for 79.3% of lungs cases and 98.3% of heart cases. Our deep learning algorithms achieved high sensitivity and specificity for both Still's murmur identification (sensitivity of 91.9% and specificity of 92.6%) and wheeze detection (sensitivity of 83.7% and specificity of 84.4%). (4) Conclusions: Our team has created a technically and clinically validated pediatric digital AI-enabled auscultation platform. Use of our platform could improve efficacy and efficiency of clinical care for pediatric patients, reduce parental anxiety, and result in cost savings.

Remote Teaching of Canine Cardiac Auscultation Using Digital Phonocardiograms.

Veterinary students often struggle to correctly interpret heart sounds. This study sought to evaluate if additional online training using digital phonocardiograms (DPCGs) improves students' ability to identify normal and pathologic heart sounds in dogs. Thirty-six randomly assigned veterinary students listened to and interpreted 10 audio recordings of normal heart sounds (2), heart murmurs (4), and arrhythmias (4) at the start and the end of a 4-week period. Twenty-two students participated in training with DPCGs, including those created from these recordings during this period, via a self-study website (n = 12) or online webinar (n = 10). Their results were compared with those of a control group (n = 14) that did not undergo additional training. Although pre- and post-training test scores did not differ between groups, both training groups showed within-group improvement between the two tests (p = .024, p = .037); the control group did not (p = .49). Although neither training group showed differences in ability to differentiate normal heart sounds from arrhythmias, both showed increased ability to detect and specify heart murmurs and provide refined diagnoses of detected arrhythmias. These results suggest additional training, even without actual patients, improves students' ability to identify heart murmurs and provide specific diagnoses for arrhythmias. Further study with a larger sample size and an additional group without DPCG-based training would help evaluate the effectiveness of DPCGs regarding arrhythmias. Studying a larger sample size would also allow for a training group participating in both training methods, measuring cumulative effectiveness of both methods.

Interrater and intrarater agreement on heart murmurs.

OBJECTIVE: To investigate interrater and intrarater agreement between physicians and medical students on heart sound classification from audio recordings, and factors predicting agreement with a reference classification. DESIGN: Intra- and interrater agreement study. SUBJECTS: Seventeen GPs and eight cardiologists from Norway and the Netherlands, eight medical students from Norway. MAIN OUTCOME MEASURES: Proportion of agreement and kappa coefficients for intrarater agreement and agreement with a reference classification. RESULTS: The proportion of intrarater agreement on the presence of any murmur was 83% on average, with a median kappa of 0.64 (range k = 0.09-0.86) for all raters, and 0.65, 0.69, and 0.61 for GPs, cardiologist, and medical students, respectively.The proportion of agreement with the reference on any murmur was 81% on average, with a median kappa of 0.67 (range 0.29-0.90) for all raters, and 0.65, 0.69, and 0.51 for GPs, cardiologists, and medical students, respectively.Distinct murmur, more than five years of clinical practice, and cardiology specialty were most strongly associated with the agreement, with ORs of 2.41 (95% CI 1.63-3.58), 2.19 (1.58-3.04), and 2.53 (1.46-4.41), respectively. CONCLUSION: We observed fair but variable agreement with a reference on heart murmurs, and physician experience and specialty, as well as murmur intensity, were the factors most strongly associated with agreement.Key points:Heart auscultation is the main physical examination of the heart, but we lack knowledge of inter- and intrarater agreement on heart sounds.• Physicians identified heart murmurs from heart sound recordings fairly reliably compared with a reference classification, and with fair intrarater agreement.• Both intrarater agreement and agreement with the reference showed considerable variation between doctors• Murmur intensity, more than five years in clinical practice, and cardiology specialty were most strongly linked to agreement with the reference.

Do 'pathologic' cardiac murmurs in adolescents identify structural heart disease? An evaluation of 15 141 active adolescents for conditions that put them at risk of sudden cardiac death.

OBJECTIVES: We assessed whether the presence and character of a cardiac murmur in adolescents were associated with structural heart disease that confers risk of sudden cardiac death (SCD). METHODS: We performed a retrospective analysis of 15 141 adolescents age 12-19 who underwent a heart screen with history, physical examination and ECG. Participants with any screening abnormality underwent an echocardiogram for the assessment of structural heart disease. Murmurs were classified as physiological or pathological according to standard clinical criteria, and participants with murmurs were compared with a comparison group without murmurs. The primary outcome was echocardiogram-detected structural heart disease associated with SCD. RESULTS: 905 participants with a cardiac murmur (mean age 15.8; 58% male) and 4333 participants without a murmur (comparison group; mean age 15.8; 55% male) had an echocardiogram to detect structural heart disease. 743 (82%) murmurs were described as physiological and 162 (18%) as pathological. Twenty-five (2.8%) participants with murmurs and 61 (1.4%) participants without murmurs had structural heart disease. Three (0.3%) participants in the murmur group were diagnosed with hypertrophic cardiomyopathy (HCM) which was the only identified condition associated with SCD. Two participants with HCM had physiological murmurs, one had a pathological murmur, and all three had an abnormal ECG. The most common minor structural heart disease was bicuspid aortic valve in both the murmur (7; 0.8%) and comparison (20; 0.5%) groups. The positive predictive value of physiological versus pathological murmurs for identifying any structural heart disease was 2.4% versus 4.3% (p=0.21), respectively. The positive predictive value of having any murmur versus no murmur for identifying structural heart disease was 2.8% versus 1.4% (p=0.003), respectively. CONCLUSIONS: In adolescents, the traditional classification of cardiac murmurs as 'physiologic' or 'pathologic' does not differentiate for structural heart disease that puts individuals at risk for SCD. We recommend ECG evaluation in all patients with a cardiac murmur found during preparticipation screening to increase detection of HCM.

Heart Murmurs in Children: Evaluation and Management.

Up to 8.6% of infants and 80% of children have a heart murmur during their early years of life. The presence of a murmur can indicate conditions ranging from no discernable pathology to acquired or congenital heart disease. In infants with a murmur, physicians should review the obstetric and family histories to detect the possibility of congenital heart pathologies. Evaluation by a pediatric cardiologist is indicated for newborns with a murmur because studies show that neonatal murmurs have higher rates of pathology than in older children, and neonatal murmur characteristics are more difficult to evaluate during examination; referral is preferred over echocardiography. All infants, with or without a murmur, should have pulse oximetry screening to detect underlying critical congenital heart disease. In older children, most murmurs are innocent and can be followed with serial examinations if there are no findings of concern. Findings in older children that warrant referral include diastolic murmurs, loud or harsh-sounding murmurs, holosystolic murmurs, murmurs that radiate to the back or neck, or signs or symptoms of cardiac disease. Referral to a pediatric cardiologist is indicated when a pathologic murmur is suspected. Electrocardiography, chest radiography, and other tests should not be reflexively performed as part of all murmur evaluations because these tests can misclassify a murmur as innocent or pathologic, and they are not cost-effective. Emerging technologies include phonocardiography interpretation of murmurs and artificial intelligence algorithms for differentiating innocent from pathologic murmurs.

Challenging echocardiographic pictures of aortic arch: when heart murmur leads to a rare diagnosis.

We describe the case of a 2-week-old boy referred for systolic murmur. His echocardiography showed challenging pictures of the aortic arch, which led to the rare diagnosis of arterial tortuosity syndrome.

Fifteen-minute consultation: Cardiac murmurs in the Newborn Infant Physical Examination (NIPE).

The finding of a cardiac murmur on the initial newborn examination is common but may be a source of anxiety for practitioners due to worries about missing critical congenital heart defects (CHDs). This article aims to provide an approach to this common finding, in particular, reviewing the evidence base behind features of the history, examination and subsequent non-specialist investigations which may increase the likelihood of CHDs. The aim of this structured approach is to give clinicians confidence in dealing with this common clinical finding, to be able to pick out those infants most at risk of having critical CHDs.

Anxiety levels in parents of asymptomatic neonates and young infants referred for echocardiography.

INTRODUCTION: Previous studies in children with innocent murmurs have shown that parental concern is common. METHODS: We assessed the anxiety levels among parents of asymptomatic neonates or infants up-to 6 weeks referred for cardiologic consultation because of a heart murmur. A six-item short-form of the state scale of the Spielberger State-Trait Anxiety Inventory (STAI) was completed by the parents before and after consultation. RESULTS: The average STAI score decreased from 14.42 ± 4.54 on arrival to 9.69 ± 4.26 after the consultation (p < 0.001). Overall, the parents felt more calm, less tense, less upset, more relaxed, more content and less worried after the consultation (p < 0.001). Multivariable linear regression analysis showed that the STAI score prior to consultation was related to infants age (coefficient ß = - 0.172; P = 0.046) and STAI score post consultation was related to the final diagnosis (ß = 0.312; P < 0.001). CONCLUSION: In conclusion, parents of asymptomatic neonates and young infants with a murmur exhibit moderate levels of anxiety which can be ameliorated after consultation. Parental education in the field is of paramount importance and the role of both paediatric cardiologists as well as primary care physicians is crucial and decisive.

Parental anxiety and misperceptions in children with innocent murmurs.

BACKGROUND: Previous studies in children with innocent murmurs have shown that parental concern is common. Our aim was to assess the level of anxiety among parents of children referred for cardiology evaluation because of an innocent heart murmur and investigate their perceptions about innocent murmurs. METHODS: A questionnaire was completed by parents before and after consultation. The questionnaire included a six-item short form of the state scale of the Spielberger State-Trait Anxiety Inventory. After the echocardiogram, a detailed consultation was offered including a thorough explanation that the results were normal, as well as a written report. RESULTS: A total of 417 questionnaires were completed by parents of 340 children. Almost half of the parents believed that a heart murmur signifies heart disease or may interfere with child's ability to exercise; 21% of them stated that the siblings should also be investigated irrespective of the presence of a murmur. The mean Spielberger State-Trait Anxiety Inventory questionnaire score before pediatric cardiology consultation was 17.1 ± 4.3 and increased to 22.6 ± 2.8 after the consultation (Wilcoxon P < 0.001). CONCLUSIONS: Parents of infants and children with innocent murmurs exhibit moderate levels of anxiety and this condition can be ameliorated significantly after pediatric cardiology consultation. Focused parental education is of paramount importance and the role of pediatric cardiologists is crucial and decisive.

Detection of Pathologic Heart Murmurs Using a Piezoelectric Sensor.

This study aimed to evaluate the capability of a piezoelectric sensor to detect a heart murmur in patients with congenital heart defects. Heart sounds and murmurs were recorded using a piezoelectric sensor and an electronic stethoscope in healthy neonates (n = 9) and in neonates with systolic murmurs caused by congenital heart defects (n = 9) who were born at a hospital. Signal data were digitally filtered by high-pass filtering, and the envelope of the processed signals was calculated. The amplitudes of systolic murmurs were evaluated using the signal-to-noise ratio and compared between healthy neonates and those with congenital heart defects. In addition, the correlation between the amplitudes of systolic murmurs recorded by the piezoelectric sensor and electronic stethoscope was determined. The amplitudes of systolic murmurs detected by the piezoelectric sensor were significantly higher in neonates with congenital heart defects than in healthy neonates (p < 0.01). Systolic murmurs recorded by the piezoelectric sensor had a strong correlation with those recorded by the electronic stethoscope (ρ = 0.899 and p < 0.01, respectively). The piezoelectric sensor can detect heart murmurs objectively. Mechanical improvement and automatic analysis algorithms are expected to improve recording in the future.

Bridging the Cardiac Needs of a Large, Underserved Immigrant and Resettled Refugee Population.

OBJECTIVE: To describe a monthly outreach pediatric cardiology clinic established to better understand the cardiac needs of immigrant/resettled refugee children. STUDY DESIGN: Data obtained between 2014 and 2017 from a monthly pediatric cardiology clinic at a Federally Qualified Health Center were analyzed using descriptive statistics. RESULTS: A total of 366 patients (222 male, 61%) were evaluated. Indications for referral included murmur (242, 66%), nonexertional symptoms (31, 9%), exertional symptoms (16, 4%), history of cardiac surgery/transcatheter interventions (15, 4%), previous diagnosis of heart conditions without intervention (13, 4%), arrhythmia/bradycardia (13, 4%), and others (36, 10%). Echocardiograms were performed on 136 patients (67 were abnormal, 49%). The most common final diagnoses include innocent murmur in 201 (55%), simple congenital heart disease in 61 (16%), complex congenital heart disease in 3 (1%), and acquired heart disease in 3 (1%). A total of 15 patients (4%) were ultimately determined to require surgical or cardiac catherization as an intervention. Patients have been followed for a median of 0.7 years (range 0-3.3 years). CONCLUSIONS: Rates of abnormal echocardiograms suggest a greater likelihood of congenital or acquired heart disease at time of initial consultation compared with nonimmigrant/refugee populations. The most common indication for referral to the outreach pediatric cardiology clinic was a murmur. Collaborative efforts between physicians and support services are essential in assisting this vulnerable population access pediatric subspecialty care.

Impact of Clinician Engagement on Implementation of the Pediatric Echocardiography Appropriate Use Criteria.

We sought to determine whether awareness of the pediatric appropriate use criteria (AUC) affected transthoracic echocardiogram (TTE) ordering by cardiologists; evaluate for differences in classification of an encounter's AUC clinical scenario by investigator chart review compared with clinicians at the time of the encounter; and assess TTE yield by appropriateness rating. AUC clinical scenario(s) were assigned to patients without prior TTE by investigator chart review of visits in 2014 (n = 209) and 2016 (n = 199), and by clinician classification in 2016 (n = 671). Investigators documented TTE utilization and findings. Between 2014 and 2016, TTE utilization decreased from 54 to 33% (p < 0.001) of "rarely appropriate" (R) encounters, resulting in a decrease in overall TTE utilization from 73 to 55% of encounters (p < 0.001). There was only moderate agreement of AUC appropriateness by investigator chart review and clinician classification (κ = 0.533, p < 0.001). Abnormal TTE findings were detected in 18.7% of R encounters, with 21 of 24 abnormalities in infants younger than 4 months presenting with murmur. A decrease in TTE utilization for R encounters may represent a change in practice from increased awareness of the AUC. AUC scenario classification by clinicians at the time of the encounter could be superior to chart review. TTE abnormalities may be missed in infants younger than 4 months of age when evaluated for murmurs with the AUC.

P wave dispersion, Tpeak-Tend interval, and Tp-e/QT ratio in children with psoriasis.

BACKGROUND: Psoriasis is a chronic inflammatory, multi-system disease that often begins in childhood and characterised by inflammatory skin, nails, scalp, and joint manifestations. The inflammation in psoriasis may promote some effect on the cardiac conduction system. OBJECTIVE: The aim of this study is to investigate myocardial repolarisation anomaly on the conducting system in the paediatric psoriasis using P wave dispersion, Tpeak-Tend interval, and Tp-e/QT ratio. METHODS: Forty-two patients diagnosed with psoriasis and 37 age- and sex-matched healthy children were enrolled in the study. Electrocardiographic parameters in psoriasis and control group were recorded from an electrocardiogram for each patient. RESULTS: The results indicated that the parameters including Pdis, QTc dis, Tp-e dis interval, and Tp-e max/QTmax ratios, which are known to be key indicators for the prediction of severe atrial or ventricular arrhythmia and sudden cardiac death and also important parameters used as the indicators for the non-invasive evaluation of the transmural heterogeneity were significantly longer in the study group compared to the control group (p < 0.05). CONCLUSIONS: This study includes the evidence linking psoriasis with increased myocardial repolarisation heterogeneity. These findings suggest that this patient population may be at an increased risk for arrhythmias. Our findings may be a basis for further studies.

[A heart murmur - a frequent incidental finding]. / Das Herzgeräusch als Zufallsbefund.

A heart murmur - a frequent incidental finding Abstract. Heart murmurs are very common and are present in up to 80 % of school children and 52 % of adults. They originate from the transition from laminar to turbulent blood flow in patients with a structural cardiomyopathy (so-called "organic" murmurs) or in patients with normal hearts (so-called "innocent" murmurs). A detailed history and physical examination help to discriminate innocent from organic murmurs. With the wide availability of transthoracic echocardiography (TTE) cardiac auscultation has lost a lot of its importance, although it remains an important skill for the initial evaluation and triage. An innocent murmur is a minor (1 / 6 - 2 / 6), crescendo-decrescendo, mostly position-dependent, mid-systolic murmur without radiation, which needs no further workup in asymptomatic patients with normal physical capacity. A TTE should be ordered if signs for a cardiac disease are present based on history, physical examination or other tests. Diastolic and continuous murmurs are mostly pathologic and warrant further workup.