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Revista Chilena de Pediatria Aug 2020Lung auscultation is an essential part of the physical examination for diagnosing respiratory diseases. The terminology standardization for lung sounds, in addition to... (Review)
Review
Lung auscultation is an essential part of the physical examination for diagnosing respiratory diseases. The terminology standardization for lung sounds, in addition to advances in their analysis through new technologies, have improved the use of this technique. However, traditional auscultation has been questioned due to the limited concordance among health professionals. Despite the revolu tionary use of new diagnostic tools of imaging and lung function tests allowing diagnostic accuracy in respiratory diseases, no technology can replace lung auscultation to guide the diagnostic process. Lung auscultation allows identifying those patients who may benefit from a specific test. Moreover, this technique can be performed many times to make clinical decisions, and often with no need for- complicated and sometimes unavailable tests. This review describes the current state-of-the-art of lung auscultation and its efficacy based on the current respiratory sound terminology. In addition, it describes the main evidence on respiratory sound concordance studies among health professionals and its objective analysis through new technology.
Topics: Adolescent; Auscultation; Child; Child, Preschool; Clinical Decision-Making; Humans; Infant; Infant, Newborn; Observer Variation; Pediatrics; Respiratory Sounds; Terminology as Topic
PubMed: 33399725
DOI: 10.32641/rchped.v91i4.1465 -
Revue Medicale de Liege May 2023Cardiac erethism is a state of hyperexcitability of the heart. It results in hyperpulsatility, which is characterized by an ample pulse, an accentuation of heart sounds...
Cardiac erethism is a state of hyperexcitability of the heart. It results in hyperpulsatility, which is characterized by an ample pulse, an accentuation of heart sounds on auscultation, and an exaggeration of heart movements on echocardiography. While it can be very troublesome, cardiac erethism has no pathological significance. However, care must be taken to exclude any underlying cardiac or extracardiac pathology before confirming the diagnosis. No treatment is usually considered except to reassure the patient and avoid contributing factors. Beta-blockers are effective and should be prescribed on a case-by-case basis.
Topics: Humans; Heart; Echocardiography; Auscultation
PubMed: 37350212
DOI: No ID Found -
Medical Archives (Sarajevo, Bosnia and... Aug 2017Accidental murmurs occur in anatomically and physiologically normal heart. Accidental (innocent) murmurs have their own clearly defined clinical characteristics... (Review)
Review
INTRODUCTION
Accidental murmurs occur in anatomically and physiologically normal heart. Accidental (innocent) murmurs have their own clearly defined clinical characteristics (asymptomatic, they require minimal follow-up care).
AIM
To point out the significance of auscultation of the heart in the differentiation of heart murmurs and show clinical characteristics of accidental heart murmurs.
MATERIAL AND METHODS
Article presents review of literature which deals with the issue of accidental heart murmurs in the pediatric cardiology.
RESULTS
In the group of accidental murmurs we include classic vibratory parasternal-precordial Stills murmur, pulmonary ejection murmur, the systolic murmur of pulmonary flow in neonates, venous hum, carotid bruit, Potaine murmur, benign cephalic murmur and mammary souffle.
CONCLUSION
Accidental heart murmurs are revealed by auscultation in over 50% of children and youth, with a peak occurrence between 3-6 years or 8-12 years of life. Reducing the frequency of murmurs in the later period can be related to poor conduction of the murmur, although the disappearance of murmur in principle is not expected. It is the most common reason of cardiac treatment of the child, and is a common cause of unreasonable concern of parents.
Topics: Asymptomatic Diseases; Diagnosis, Differential; Heart; Heart Auscultation; Heart Murmurs; Heart Sounds; Humans
PubMed: 28974851
DOI: 10.5455/medarh.2017.71.284-287 -
Dysphagia Feb 2023This study investigated the reliability and validity (sensitivity and specificity) of cervical auscultation (CA) using both swallow and pre-post swallow-respiratory...
This study investigated the reliability and validity (sensitivity and specificity) of cervical auscultation (CA) using both swallow and pre-post swallow-respiratory sounds, as compared with Flexible Endoscopic Evaluation of Swallowing (FEES). With 103 swallow-respiratory sequences from 23 heterogenic patients, these swallows sounds were rated by eight CA-trained Speech-Language Pathologists (SLPs) to investigate: (1) if the swallow was safe (primary outcome); (2) patient dysphagia status; (3) the influence of liquid viscosity on CA accuracy (secondary outcomes). Primary outcome data showed high CA sensitivity (85.4%), and specificity (80.3%) with all consistencies for the safe measurement, with CA predictive values of [Formula: see text] 90% to accurately detect unsafe swallows. Intra-rater reliability was good (Kappa [Formula: see text] 0.65), inter rater reliability moderate (Kappa [Formula: see text] 0.58). Secondary outcome measures showed high sensitivity (80.1%) to identify if a patient was dysphagic, low specificity (22.9%), and moderate correlation (r [Formula: see text] 0.62) with FEES. A difference across bolus viscosities identified that CA sensitivities (90.1%) and specificities ([Formula: see text] 84.7%) for thin liquids were greater than for thick liquids (71.0-77.4% sensitivities, 74.0-81.3% specificities). Results demonstrate high validity and moderate-good reliability of CA-trained SLPs to determine swallow safety when compared with FEES. Data support the use of CA as an adjunct to the clinical swallow examination. CA should include pre-post respiratory sounds and requires specific training. Clinical implications: The authors advocate for holistic dysphagia management including instrumental assessment and ongoing CSE/review [Formula: see text] CA. Adding CA to the CSE/review does not replace instrumental assessment, nor should CA be used as a stand-alone tool.
Topics: Humans; Deglutition Disorders; Deglutition; Reproducibility of Results; Respiratory Sounds; Auscultation
PubMed: 35838785
DOI: 10.1007/s00455-022-10468-8 -
Journal of Global Health 2022Frontline health care workers use World Health Organization Integrated Management of Childhood Illnesses (IMCI) guidelines for child pneumonia care in low-resource...
BACKGROUND
Frontline health care workers use World Health Organization Integrated Management of Childhood Illnesses (IMCI) guidelines for child pneumonia care in low-resource settings. IMCI guideline pneumonia diagnostic criterion performs with low specificity, resulting in antibiotic overtreatment. Digital auscultation with automated lung sound analysis may improve the diagnostic performance of IMCI pneumonia guidelines. This systematic review aims to summarize the evidence on detecting adventitious lung sounds by digital auscultation with automated analysis compared to reference physician acoustic analysis for child pneumonia diagnosis.
METHODS
In this review, articles were searched from MEDLINE, Embase, CINAHL Plus, Web of Science, Global Health, IEEExplore database, Scopus, and the ClinicalTrial.gov databases from the inception of each database to October 27, 2021, and reference lists of selected studies and relevant review articles were searched manually. Studies reporting diagnostic performance of digital auscultation and/or computerized lung sound analysis compared against physicians' acoustic analysis for pneumonia diagnosis in children under the age of 5 were eligible for this systematic review. Retrieved citations were screened and eligible studies were included for extraction. Risk of bias was assessed using the Quality Assessment of Diagnostic Accuracy Studies-2 (QUADAS-2) tool. All these steps were independently performed by two authors and disagreements between the reviewers were resolved through discussion with an arbiter. Narrative data synthesis was performed.
RESULTS
A total of 3801 citations were screened and 46 full-text articles were assessed. 10 studies met the inclusion criteria. Half of the studies used a publicly available respiratory sound database to evaluate their proposed work. Reported methodologies/approaches and performance metrics for classifying adventitious lung sounds varied widely across the included studies. All included studies except one reported overall diagnostic performance of the digital auscultation/computerised sound analysis to distinguish adventitious lung sounds, irrespective of the disease condition or age of the participants. The reported accuracies for classifying adventitious lung sounds in the included studies varied from 66.3% to 100%. However, it remained unclear to what extent these results would be applicable for classifying adventitious lung sounds in children with pneumonia.
CONCLUSIONS
This systematic review found very limited evidence on the diagnostic performance of digital auscultation to diagnose pneumonia in children. Well-designed studies and robust reporting are required to evaluate the accuracy of digital auscultation in the paediatric population.
Topics: Auscultation; Child; Humans; Lung; Pneumonia; Respiratory Sounds
PubMed: 35493777
DOI: 10.7189/jogh.12.04033 -
Pneumologie (Stuttgart, Germany) Jun 2016Auscultation of the lung is an inexpensive, noninvasive and easy-to-perform tool. It is an important part of the physical examination and is help ful to distinguish... (Review)
Review
Auscultation of the lung is an inexpensive, noninvasive and easy-to-perform tool. It is an important part of the physical examination and is help ful to distinguish physiological respiratory sounds from pathophysiological events. Computerized lung sound analysis is a powerful tool for optimizing and quantifying electronic auscultation based on the specific lung sound spectral characteristics. The automatic analysis of respiratory sounds assumes that physiological and pathological sounds are reliably analyzed based on special algorithms. The development of automated long-term lungsound monitors enables objective assessment of different respiratory symptoms.
Topics: Algorithms; Auscultation; Diagnosis, Computer-Assisted; Diagnosis, Differential; Humans; Lung Diseases; Respiratory Sounds; Sound Spectrography
PubMed: 27177168
DOI: 10.1055/s-0042-106155 -
Pneumologie (Stuttgart, Germany) Jan 2019
Topics: Acoustics; Auscultation; Humans; Percussion
PubMed: 30536248
DOI: 10.1055/s-0043-125015 -
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 -
BMC Pulmonary Medicine Mar 2022Auscultation with stethoscope has been an essential tool for diagnosing the patients with respiratory disease. Although auscultation is non-invasive, rapid, and... (Review)
Review
Auscultation with stethoscope has been an essential tool for diagnosing the patients with respiratory disease. Although auscultation is non-invasive, rapid, and inexpensive, it has intrinsic limitations such as inter-listener variability and subjectivity, and the examination must be performed face-to-face. Conventional stethoscope could not record the respiratory sounds, so it was impossible to share the sounds. Recent innovative digital stethoscopes have overcome the limitations and enabled clinicians to store and share the sounds for education and discussion. In particular, the recordable stethoscope made it possible to analyze breathing sounds using artificial intelligence, especially based on neural network. Deep learning-based analysis with an automatic feature extractor and convoluted neural network classifier has been applied for the accurate analysis of respiratory sounds. In addition, the current advances in battery technology, embedded processors with low power consumption, and integrated sensors make possible the development of wearable and wireless stethoscopes, which can help to examine patients living in areas of a shortage of doctors or those who need isolation. There are still challenges to overcome, such as the analysis of complex and mixed respiratory sounds and noise filtering, but continuous research and technological development will facilitate the transition to a new era of a wearable and smart stethoscope.
Topics: Artificial Intelligence; Auscultation; Humans; Respiratory Sounds; Stethoscopes; Technology
PubMed: 35361176
DOI: 10.1186/s12890-022-01896-1 -
Neurology India 2020The actual investigation of the body of a patient by the clinician in search for the signs of the disease beginning with the primary vital signs and continues with the... (Review)
Review
The actual investigation of the body of a patient by the clinician in search for the signs of the disease beginning with the primary vital signs and continues with the careful and attentive observation of the patient. This article reviews the key findings in the physical examination of patients with ischemic stroke that have the potential to indicate the etiology of the infarct and to help to choose the use of ancillary tests. Through a systematic search of articles published in English related to the physical examination of patients with stroke, we identified key findings in the vital signs and classic components of the physical exam (appearance of the patient, auscultation, and eye examination) that have shown clinical significance when determining ischemic stroke etiology. We further suggest that the prompt identification of such findings can translate into better use of diagnostic tools and selection of ancillary confirmatory tests, thus, reducing the time to etiology based treatment and secondary prevention of ischemic stroke. in this manuscript, we aim to show that even though nowadays the clinical skills tend to be overlooked due to the overreliance on technology, the physical exam continues to be a valuable tool in the clinician armamentarium when facing the challenge of a patient with ischemic stroke.
Topics: Auscultation; Heart Auscultation; Humans; Ischemic Stroke; Neck; Ophthalmoscopy; Physical Examination; Secondary Prevention; Vital Signs
PubMed: 32415006
DOI: 10.4103/0028-3886.284386