Evidence map›Paper›PMID 33400386›Full record

ArticlePhysiological reports2021

Second heart sound splitting as an indicator of interventricular mechanical dyssynchrony using a novel splitting detection algorithm.

Hongxing Luo, Philip Westphal, Mehrdad Shahmohammadi, Luuk I B Heckman, Marion Kuiper, Richard N Cornelussen, Tammo Delhaas, Frits W Prinzen

Abstract read
In one paragraph

Article in Physiological reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Health Monitoring via Heart, Breath, and Korotkoff Sounds by Wearable Piezoelectret Patches.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023
    Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Hongxing LuoDepartment of Physiology, Cardiovascular Research Institute Maastricht (CARIM, Maastricht, the Netherlands.
Philip WestphalDepartment of Physiology, Cardiovascular Research Institute Maastricht (CARIM, Maastricht, the Netherlands.
Mehrdad ShahmohammadiDepartment of Biomedical Engineering, Cardiovascular Research Institute Maastricht (CARIM, Maastricht, the Netherlands.
Luuk I B HeckmanDepartment of Physiology, Cardiovascular Research Institute Maastricht (CARIM, Maastricht, the Netherlands.
Marion KuiperDepartment of Physiology, Cardiovascular Research Institute Maastricht (CARIM, Maastricht, the Netherlands.
Richard N CornelussenDepartment of Physiology, Cardiovascular Research Institute Maastricht (CARIM, Maastricht, the Netherlands.
Tammo DelhaasDepartment of Biomedical Engineering, Cardiovascular Research Institute Maastricht (CARIM, Maastricht, the Netherlands.
Frits W PrinzenDepartment of Physiology, Cardiovascular Research Institute Maastricht (CARIM, Maastricht, the Netherlands.ORCID 0000-0001-8917-9032

Funding

Marie Curie 764738
6 · The paper itself

Abstract

Second heart sound (S2) splitting results from nonsimultaneous closures between aortic (A2) and pulmonic valves (P2) and may be used to detect timing differences (dyssynchrony) in relaxation between right (RV) and left ventricle (LV). However, overlap of A2 and P2 and the change in heart sound morphologies have complicated detection of the S2 splitting interval. This study introduces a novel S-transform amplitude ridge tracking (START) algorithm for estimating S2 splitting interval and investigates the relationship between S2 splitting and interventricular relaxation dyssynchrony (IRD). First, the START algorithm was validated in a simulated model of heart sound. It showed small errors (<5 ms) in estimating splitting intervals from 10 to 70 ms, with A2/P2 amplitude ratios from 0.2 to 5, and signal-to-noise ratios from 10 to 30 dB. Subsequently, the START algorithm was evaluated in a porcine model employing a wide range of paced RV-LV delays. IRD was quantified by the time difference between invasively measured LV and RV pressure downslopes. Between LV pre-excitation to RV pre-excitation, mean S2 splitting interval decreased from 47 ms to 23 ms (p < .001), accompanied by a decrease in mean IRD from 8 ms to -18 ms (p < .001). S2 splitting interval was significantly correlated with IRD in each experiment (p < .001). In conclusion, the START algorithm can accurately assess S2 splitting and may serve as a useful tool to assess interventricular dyssynchrony.

Indexed as

Heart SoundsAlgorithmsAnimalsEchocardiography, DopplerHeart FailureMaleSwineVentricular Dysfunctioncardiac dyssynchronyheart soundpacing therapyS-transform

Identifiers

PMID33400386
PMCPMC7785055

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.