Literature DB >> 15819349

The patient with a heart murmur: evaluation, assessment and dental considerations.

Eric Lessard1, Michael Glick, Sultan Ahmed, Muhamed Saric.   

Abstract

BACKGROUND: Heart murmurs, a common finding in dental patients, are of major concern to dental professionals because certain dental procedures occasionally can induce severe cardiovascular complications. Murmurs may indicate existing heart disease that is a risk factor for infective endocarditis following a dental procedure, as well as more severe heart conditions such as congenital heart disease, atrial fibrillation or congestive heart failure. TYPES OF STUDIES REVIEWED: This review article is based on data published in peer-reviewed journals, including practice guidelines published by major dental and medical professional organizations.
RESULTS: Echocardiography is the primary means of evaluating heart murmurs, and all dental professionals should become familiar with major aspects of an echocardiogram. Understanding the medical evaluation and assessment of a heart murmur fosters better communication with other health care professionals and results in improved patient care. CLINICAL IMPLICATIONS: Beyond the need to administer antibiotic prophylaxis, the dentist also needs to address the underlying causes of a patient's heart murmur. By providing dental care to such patients, oral health care providers become part of the patient's overall health care team.

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Mesh:

Year:  2005        PMID: 15819349     DOI: 10.14219/jada.archive.2005.0176

Source DB:  PubMed          Journal:  J Am Dent Assoc        ISSN: 0002-8177            Impact factor:   3.634


  2 in total

1.  Acoustic cardiac signals analysis: a Kalman filter-based approach.

Authors:  Sheik Hussain Salleh; Hadrina Sheik Hussain; Tan Tian Swee; Chee-Ming Ting; Alias Mohd Noor; Surasak Pipatsart; Jalil Ali; Preecha P Yupapin
Journal:  Int J Nanomedicine       Date:  2012-06-11

2.  Automatic recognition of murmurs of ventricular septal defect using convolutional recurrent neural networks with temporal attentive pooling.

Authors:  Jou-Kou Wang; Yun-Fan Chang; Kun-Hsi Tsai; Wei-Chien Wang; Chang-Yen Tsai; Chui-Hsuan Cheng; Yu Tsao
Journal:  Sci Rep       Date:  2020-12-11       Impact factor: 4.379

  2 in total

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