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Sensors (Basel, Switzerland) Feb 2021This 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...
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 ( < 0.01). Systolic murmurs recorded by the piezoelectric sensor had a strong correlation with those recorded by the electronic stethoscope (ρ = 0.899 and < 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.
Topics: Algorithms; Auscultation; Heart Auscultation; Heart Murmurs; Heart Sounds; Humans; Infant, Newborn; Male
PubMed: 33669261
DOI: 10.3390/s21041376 -
Animals : An Open Access Journal From... Dec 2021Heart murmurs are detected frequently when auscultating horses and certain murmurs can usually be linked to specific valvular regurgitations. Limited information exists...
Heart murmurs are detected frequently when auscultating horses and certain murmurs can usually be linked to specific valvular regurgitations. Limited information exists about the accuracy of these broad rules in warmblood horses and the influence of grade of the regurgitation and dimensional changes on murmur intensity. This study aims to clarify the accuracy of cardiac auscultation in warmblood horses and the influence of the grade of regurgitation and dimensional changes on the loudness of the murmur. In this retrospective study, 822 warmblood horses presented for cardiac examination in a large equine referral center in northern Germany underwent a thorough cardiac auscultation. In total, 653 of these revealed one or more heart murmurs. Most common auscultatory findings were left-sided systolic murmurs (68%) or left-sided diastolic murmurs (15%). On 635 of these horses, an echocardiographic examination was performed, revealing regurgitations of the mitral valve as the most common valvular regurgitation (77%) followed by regurgitations of the aortic valve (23%). Thirty-one percent of horses that underwent echocardiographic examination displayed dimensional changes of one or more compartments of the heart, with the left atrium being most affected (21%), followed by the left ventricle (13%). The main goal of this study was to link certain auscultatory findings with results of the echocardiographic examinations, trying to determine whether auscultation and echocardiography agreed on the valve affected, as well as to find out if loudness of the murmur coincided with grade of regurgitation and presence of dimensional changes. Agreement between auscultation and cardiac ultrasound was substantial (Kappa 0.74) if one or more murmurs and regurgitations were present and almost perfect (Kappa 0.94) if only one murmur and one regurgitation were found. Auscultation was particularly well suited for detection of left-sided systolic and diastolic murmurs, with 87% of left-sided systolic murmurs being caused by a mitral valve regurgitation and 81% of left-sided diastolic murmurs originating from an aortic valve regurgitation. We found a fair agreement between the grade of regurgitation and the respective murmur. Association was particularly good between mild regurgitations and low-grade murmurs, while differentiation between moderate to severe regurgitation based upon the loudness of the murmur was less reliable. Dimensional changes were usually linked to more severe regurgitations and higher-grade murmurs. However, a direct correlation between murmur intensity and the presence or severity of dimensional changes, independent of the grade of valvular regurgitation, could not be established in this cohort of horses.
PubMed: 34944240
DOI: 10.3390/ani11123463 -
Archivos de Cardiologia de Mexico Apr 2022Heart failure with preserved ejection fraction is a highly prevalent disease; some advances for improving the diagnosis are the development of the H2FPEF score and the... (Observational Study)
Observational Study
OBJECTIVE
Heart failure with preserved ejection fraction is a highly prevalent disease; some advances for improving the diagnosis are the development of the H2FPEF score and the diastolic stress test for the evaluation of diastolic function. The objective is to describe the clinical and echocardiographic characteristics of patients referred for stress tests, and the association between the H2FPEF score and the results of the diastolic test.
METHODS
This is an analytical, observational, retrospective study. An exercise stress test was performed. The Chi-square test was used to establish an association between H2FpEF score and diastolic stress test results. Patients over the age of 18, in sinus rhythm, with the left ventricular ejection fraction > 54%, with no more than mild diastolic dysfunction on the baseline echocardiogram were included in the study.
RESULTS
A total of 99 patients met the eligibility criteria. About 49.5% were women, median age was 62.2 years. The H2FPEF score was low in 27.2%, intermediate 71.7%, and 1% in the high range. There was a high prevalence of hypertension 58.6%, diabetes 12.1%, and coronary disease 20.2%. The stress test was positive for diastolic dysfunction in 36.4% of the patients. A statistically significant association was found between the H2FPEF score and the diastolic stress test (p = 0.02).
CONCLUSIONS
Although clinical scores such as H2FPEF help identify patients, a high percentage of patients are classified in the intermediate range. The diastolic stress test can help to make the diagnosis of diastolic function in this group of patients.
Topics: Adult; Diastole; Exercise Test; Female; Heart Failure; Heart Murmurs; Humans; Middle Aged; Retrospective Studies; Stroke Volume; Ventricular Function, Left
PubMed: 34320623
DOI: 10.24875/ACM.21000053 -
Veterinary Research Forum : An... 2022A one and a half years old male French bulldog weighing 9.50 kg was presented with the history of inappetence, lethargy, abdominal distension and exercise intolerance...
A one and a half years old male French bulldog weighing 9.50 kg was presented with the history of inappetence, lethargy, abdominal distension and exercise intolerance since last 2 days. The physical examination was done which revealed normal physiological parameters including temperature, mucus membrane color and capillary refill time except palpable precordial thrills, jugular distension on palpation, tachycardia and systolic murmurs on auscultation. Electrocardiography (ECG) was done which depicted ectopic foci with atrioventricular junctional tachycardia and right ventricular enlargement involving very small inverted P waves, deep S waves in leads I, II, III and augmented vector foot (aVF) and splintered QRS complexes. The dog was undergone chest radiography that revealed right atrial enlargement, increased sternal contact of heart on lateral view and a bulge at 9:00 o'clock to 11:00 o'clock depicted right atrial enlargement on dorso-ventral view. Lastly, echocardiography was done to arrive at a diagnosis confirming the Ebstein's anomaly as a form of tricuspid valve dysplasia including apical displacement of tricuspid valve leaflets, division of right ventricle into atrialized and functional portions, increased displacement index, increased apex-mitral annulus to apex-tricuspid annulus ratio, severe right atrial dilatation and tricuspid regurgitation. The dog was medically treated with diuretics, angiotensin converting enzyme inhibitors and inotropes and the owner was advised to put the dog on low sodium diet for 2 weeks. The dog has resolved clinical signs of right sided heart affection; but, suddenly collapsed at home. The owner denied for the necropsy of dog.
PubMed: 36686865
DOI: 10.30466/vrf.2022.550981.3425 -
Journal of the American Heart... May 2021Background Clinicians vary markedly in their ability to detect murmurs during cardiac auscultation and identify the underlying pathological features. Deep learning...
Background Clinicians vary markedly in their ability to detect murmurs during cardiac auscultation and identify the underlying pathological features. Deep learning approaches have shown promise in medicine by transforming collected data into clinically significant information. The objective of this research is to assess the performance of a deep learning algorithm to detect murmurs and clinically significant valvular heart disease using recordings from a commercial digital stethoscope platform. Methods and Results Using >34 hours of previously acquired and annotated heart sound recordings, we trained a deep neural network to detect murmurs. To test the algorithm, we enrolled 962 patients in a clinical study and collected recordings at the 4 primary auscultation locations. Ground truth was established using patient echocardiograms and annotations by 3 expert cardiologists. Algorithm performance for detecting murmurs has sensitivity and specificity of 76.3% and 91.4%, respectively. By omitting softer murmurs, those with grade 1 intensity, sensitivity increased to 90.0%. Application of the algorithm at the appropriate anatomic auscultation location detected moderate-to-severe or greater aortic stenosis, with sensitivity of 93.2% and specificity of 86.0%, and moderate-to-severe or greater mitral regurgitation, with sensitivity of 66.2% and specificity of 94.6%. Conclusions The deep learning algorithm's ability to detect murmurs and clinically significant aortic stenosis and mitral regurgitation is comparable to expert cardiologists based on the annotated subset of our database. The findings suggest that such algorithms would have utility as front-line clinical support tools to aid clinicians in screening for cardiac murmurs caused by valvular heart disease. Registration URL: https://clinicaltrials.gov; Unique Identifier: NCT03458806.
Topics: Adolescent; Adult; Aged; Aged, 80 and over; Algorithms; Cross-Sectional Studies; Deep Learning; Diagnosis, Computer-Assisted; Equipment Design; Female; Heart Auscultation; Heart Murmurs; Humans; Male; Middle Aged; Reproducibility of Results; Stethoscopes; Young Adult
PubMed: 33899504
DOI: 10.1161/JAHA.120.019905 -
BioMed Research International 2022Most researchers use features of diastolic murmurs to identify coronary artery disease. However, the diastolic murmurs of coronary artery disease are usually very weak...
Most researchers use features of diastolic murmurs to identify coronary artery disease. However, the diastolic murmurs of coronary artery disease are usually very weak and are easily contaminated by noise and valvular murmurs. Therefore, the diagnostic accuracy of coronary artery disease when only using diastolic murmurs is not well. An algorithm for improving the accuracy in the identification of coronary artery disease by combining the features of the first heart sound and diastolic murmurs was proposed. Firstly, a first heart sound feature extraction algorithm was used to identify coronary artery disease from noncoronary artery disease. Secondly, the Empirical Wavelet Transform algorithm was used to decompose the diastolic heart sound into three modes, and the spectral energy of each mode was calculated to distinguish coronary artery disease from noncoronary artery disease. Then, the features of the fist heart sound, the second diastolic spectral energy, and the parameter P3, which was used to discriminate the diastolic murmurs in coronary artery disease and in valvular disease, were combined together to improve the diagnostic accuracy of coronary artery disease. The comparison experiment results show that the accuracy of the proposed algorithm is superior to some state-of-the-art methods when they are used to diagnose coronary artery disease.
Topics: Algorithms; Coronary Artery Disease; Heart Murmurs; Heart Sounds; Humans; Wavelet Analysis
PubMed: 35252442
DOI: 10.1155/2022/3058835 -
Echocardiography (Mount Kisco, N.Y.) Nov 2022Left ventricular diastolic dysfunction (LVDD) is associated with poor outcomes in the intensive care unit (ICU). Nonetheless, precise reporting of LVDD in COVID-19...
PURPOSE
Left ventricular diastolic dysfunction (LVDD) is associated with poor outcomes in the intensive care unit (ICU). Nonetheless, precise reporting of LVDD in COVID-19 patients is currently lacking and assessment could be challenging.
METHODS
We performed an echocardiography study in COVID-19 patients admitted to ICU with the aim to describe the feasibility of full or simplified LVDD assessment and its incidence. We also evaluated the association of LVDD or of single echocardiographic parameters with hospital mortality.
RESULTS
Between 06.10.2020 and 18.02.2021, full diastolic assessment was feasible in 74% (n = 26/35) of patients receiving a full echocardiogram study. LVDD incidence was 46% (n = 12/26), while the simplified assessment produced different results (incidence 81%, n = 21/26). Nine patients with normal function on full assessment had LVDD with simplified criteria (grade I = 2; grade II = 3; grade III = 4). Nine patients were hospital-survivors (39%); the incidence of LVDD (full assessment) was not different between survivors (n = 2/9, 22%) and non-survivors (n = 10/17, 59%; p = .11). The E/e' ratio lateral was lower in survivors (7.4 [3.6] vs. non-survivors 10.5 [6.3], p = .03). We also found that s' wave was higher in survivors (average, p = .01).
CONCLUSION
In a small single-center study, assessment of LVDD according to the latest guidelines was feasible in three quarters of COVID-19 patients. Non-survivors showed a trend toward greater LVDD incidence; moreover, they had significantly worse s' values (all) and higher E/e' ratio (lateral).
Topics: Humans; Incidence; COVID-19; Feasibility Studies; Ventricular Function, Left; Diastole; Ventricular Dysfunction, Left; Intensive Care Units; Heart Murmurs
PubMed: 36200491
DOI: 10.1111/echo.15462 -
Veterinary Research Forum : An... Sep 2022Heart murmurs and valvular regurgitation are common in horses and often have no effect on their performance. However, when structural changes occur in the heart size,...
Heart murmurs and valvular regurgitation are common in horses and often have no effect on their performance. However, when structural changes occur in the heart size, they can affect performance adversely. This study aimed to examine the correlation between cardiac valves disease and poor performance in athletic horses. A total of 300 athletic Thoroughbred and mix-breed horses including 164 mares and 136 stallions, with a history of poor performance, were selected. Horses with cardiac murmurs were identified and further cardiac examination including precise auscultation, base-apex electrocardiogram for possible dysrhythmias at rest and after exercise, echocardiographic and hematological tests were conducted in two stages. The first was at admission time and the second examination was done four to six months later to evaluate the outcome of the possible disorders. Respiratory system and musculoskeletal diseases were diagnosed respectively in 93 and 149 out of 300 examined horses and 36 horses showed heart murmur without any other complications. Echocardiography was performed in horses with heart murmur and 25 of them showed regurgitation of the cardiac valve. During the first examination, 7 horses were diagnosed with regurgitation and changes in the size of cardiac chambers, whereas this number increased to 25 during the second examination. There was no significant relationship between degree of murmur and severity of regurgitant jet in horses. The valvular regurgitation can affect the performance when causing changes in the size of the cardiac chambers which can consequently jeopardize the athletic future of the horse.
PubMed: 36320295
DOI: 10.30466/vrf.2021.130366.2997 -
Sensors (Basel, Switzerland) Jun 2023(1) Background: Mastery of auscultation can be challenging for many healthcare providers. Artificial intelligence (AI)-powered digital support is emerging as an aid to...
(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.
Topics: Humans; Child; Artificial Intelligence; Auscultation; Stethoscopes; Heart Murmurs; Algorithms; Respiratory Sounds
PubMed: 37420914
DOI: 10.3390/s23125750 -
The American Journal of Case Reports May 2021BACKGROUND Tachycardia from atrial fibrillation or flutter can lead to left ventricular systolic dysfunction. Some patients deteriorate quickly, and there is an acute...
BACKGROUND Tachycardia from atrial fibrillation or flutter can lead to left ventricular systolic dysfunction. Some patients deteriorate quickly, and there is an acute drop in their left ventricular systolic function; however, they tend to normalize rapidly after treatment of the underlying arrhythmia. The aim of publishing the present case is to maintain awareness that tachycardia is one of the etiologies of acute systolic heart failure, which is potentially reversible by treatment when recognized. CASE REPORT An 88-year-old woman with a history of hypertension and diabetes presented to the emergency department with shortness of breath and new-onset atrial fibrillation. The physical examination revealed jugular vein distention, an irregular heart rate of approximately 140 beats/min, bilateral basal lung crackles, and no murmurs. One week before this presentation, she underwent electrocardiography, which showed she was in sinus rhythm, and transthoracic echocardiography, which indicated an ejection fraction of 65%. After hospital admission, she was started on beta-blockers for heart rate control and diuretics for heart failure management. As her symptoms persisted, she underwent a transesophageal echocardiography-guided cardioversion, where her ejection fraction was 30%. A repeat transthoracic echocardiography 3 days after the cardioversion indicated the ejection fraction had normalized to 60%. She was followed up every month in the Outpatient Cardiology Clinic and has remained asymptomatic for 1 year to date. CONCLUSIONS Although most literature describes tachycardia-induced cardiomyopathy as a chronic process, it can be acute. Patients benefit from rhythm control, and with early diagnosis and appropriate management, the prognosis is good.
Topics: Aged, 80 and over; Atrial Fibrillation; Cardiomyopathies; Female; Heart Failure; Humans; Tachycardia; Ventricular Function, Left
PubMed: 33970894
DOI: 10.12659/AJCR.930732