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      Beat-to-beat alterations of acoustic intensity and frequency at the maximum power of heart sounds are associated with NT-proBNP levels

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          Abstract

          Background

          Auscultatory features of heart sounds (HS) in patients with heart failure (HF) have been studied intensively. Recent developments in digital and electrical devices for auscultation provided easy listening chances to recognize peculiar sounds related to diastolic HS such as S 3 or S 4. This study aimed to quantitatively assess HS by acoustic measures of intensity (dB) and audio frequency (Hz).

          Methods

          Forty consecutive patients aged between 46 and 87 years (mean age, 74 years) with chronic cardiovascular disease (CVD) were enrolled in the present study after providing written informed consent during their visits to the Kitasato University Outpatient Clinic. HS were recorded at the fourth intercostal space along the left sternal border using a highly sensitive digital device. Two consecutive heartbeats were quantified on sound intensity (dB) and audio frequency (Hz) at the peak power of each spectrogram of S 1–S 4 using audio editing and recording application software. The participants were classified into three groups, namely, the absence of HF ( n = 27), HF ( n = 8), and high-risk HF ( n = 5), based on the levels of NT-proBNP < 300, ≥300, and ≥900 pg/ml, respectively, and also the levels of ejection fraction (EF), such as preserved EF ( n = 22), mildly reduced EF ( n = 12), and reduced EF ( n = 6).

          Results

          The intensities of four components of HS (S 1–S 4) decreased linearly ( p < 0.02–0.001) with levels of body mass index (BMI) (range, 16.2–33.0 kg/m 2). Differences in S 1 intensity (ΔS 1) and its frequency (Δ fS 1 ) between two consecutive beats were non-audible level and were larger in patients with HF than those in patients without HF (ΔS 1, r = 0.356, p = 0.024; Δ fS 1 , r = 0.356, p = 0.024). The cutoff values of ΔS 1 and Δ fS 1 for discriminating the presence of high-risk HF were 4.0 dB and 5.0 Hz, respectively.

          Conclusions

          Despite significant attenuations of all four components of HS by BMI, beat-to-beat alterations of both intensity and frequency of S 1 were associated with the severity of HF. Acoustic quantification of HS enabled analyses of sounds below the audible level, suggesting that sound analysis might provide an early sign of HF.

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          Most cited references49

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          Recommendations for the Evaluation of Left Ventricular Diastolic Function by Echocardiography: An Update from the American Society of Echocardiography and the European Association of Cardiovascular Imaging.

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            How to diagnose heart failure with preserved ejection fraction: the HFA–PEFF diagnostic algorithm: a consensus recommendation from the Heart Failure Association (HFA) of the European Society of Cardiology (ESC)

            Making a firm diagnosis of chronic heart failure with preserved ejection fraction (HFpEF) remains a challenge. We recommend a new stepwise diagnostic process, the ‘HFA–PEFF diagnostic algorithm’. Step 1 (P=Pre-test assessment) is typically performed in the ambulatory setting and includes assessment for HF symptoms and signs, typical clinical demographics (obesity, hypertension, diabetes mellitus, elderly, atrial fibrillation), and diagnostic laboratory tests, electrocardiogram, and echocardiography. In the absence of overt non-cardiac causes of breathlessness, HFpEF can be suspected if there is a normal left ventricular ejection fraction, no significant heart valve disease or cardiac ischaemia, and at least one typical risk factor. Elevated natriuretic peptides support, but normal levels do not exclude a diagnosis of HFpEF. The second step (E: Echocardiography and Natriuretic Peptide Score) requires comprehensive echocardiography and is typically performed by a cardiologist. Measures include mitral annular early diastolic velocity (e′), left ventricular (LV) filling pressure estimated using E/e′, left atrial volume index, LV mass index, LV relative wall thickness, tricuspid regurgitation velocity, LV global longitudinal systolic strain, and serum natriuretic peptide levels. Major (2 points) and Minor (1 point) criteria were defined from these measures. A score ≥5 points implies definite HFpEF; ≤1 point makes HFpEF unlikely. An intermediate score (2–4 points) implies diagnostic uncertainty, in which case Step 3 (F1: Functional testing) is recommended with echocardiographic or invasive haemodynamic exercise stress tests. Step 4 (F2: Final aetiology) is recommended to establish a possible specific cause of HFpEF or alternative explanations. Further research is needed for a better classification of HFpEF.
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              A Simple, Evidence-Based Approach to Help Guide Diagnosis of Heart Failure with Preserved Ejection Fraction

              Diagnosis of heart failure with preserved ejection fraction (HFpEF) is challenging in euvolemic patients with dyspnea, and no evidence-based criteria are available. We sought to develop and then validate noninvasive diagnostic criteria that could be used to estimate the likelihood that HFpEF is present among patients with unexplained dyspnea to guide further testing.
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                Author and article information

                Contributors
                URI : https://loop.frontiersin.org/people/2633623/overviewRole: Role: Role:
                URI : https://loop.frontiersin.org/people/1695101/overviewRole: Role: Role:
                Role: Role: Role:
                Role: Role: Role:
                Role: Role: Role: Role:
                Role: Role: Role:
                URI : https://loop.frontiersin.org/people/2648336/overviewRole: Role: Role:
                URI : https://loop.frontiersin.org/people/2230817/overviewRole: Role: Role:
                Journal
                Front Cardiovasc Med
                Front Cardiovasc Med
                Front. Cardiovasc. Med.
                Frontiers in Cardiovascular Medicine
                Frontiers Media S.A.
                2297-055X
                02 April 2024
                2024
                : 11
                : 1372543
                Affiliations
                [ 1 ]Department of Cardiovascular Medicine, Kitasato University School of Medicine , Sagamihara, Japan
                [ 2 ]Department of Rehabilitation, Kitasato University School of Allied Health Sciences , Sagamihara, Japan
                [ 3 ]Department of Functional Restoration Science, Kitasato University Graduate School of Medical Sciences , Sagamihara, Japan
                [ 4 ]Department of Kitasato Clinical Research Center, Kitasato University School of Medicine , Sagamihara, Japan
                [ 5 ]Bio-Medical Informatics Research Center, NTT Basic Research Laboratories , Atsugi, Japan
                Author notes

                Edited by: Michiaki Nagai, University of Oklahoma Health Science Center, United States

                Reviewed by: Makiko Kobayashi, Kumamoto University, Japan

                Zaher S. Azzam, Rambam Health Care Campus, Israel

                Francesco Paolo Lo Muzio, Angiologie und Intensivmedizin Deutsches Herzzentrum der Charité, Germany

                [* ] Correspondence: Minako Yamaoka-Tojo myamaoka@ 123456med.kitasato-u.ac.jp
                Article
                10.3389/fcvm.2024.1372543
                11018890
                38628311
                892dfaab-422c-4d5e-97e2-2d23da7cc110
                © 2024 Fujiyoshi, Yamaoka-Tojo, Fujiyoshi, Komatsu, Oikawa, Kashino, Tomoike and Ako.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 18 January 2024
                : 18 March 2024
                Page count
                Figures: 5, Tables: 3, Equations: 0, References: 49, Pages: 0, Words: 0
                Funding
                The authors declare financial support was received for the research, authorship, and/or publication of this article.
                This work was supported by the Kitasato University and NTT Basic Research Laboratories.
                Categories
                Cardiovascular Medicine
                Original Research
                Custom metadata
                General Cardiovascular Medicine

                auscultation,cardiovascular disease,heart failure,body mass index,heart sound

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