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Related Concept Videos

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Acute Coronary Syndrome III: Diagnostic Studies

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Diagnosing acute coronary syndrome or ACS begins with a thorough patient history. Notable symptoms include central, crushing chest pain radiating to the left arm, neck, jaw, or back, along with shortness of breath, sweating (diaphoresis), nausea, vomiting, dizziness, and palpitations.It is crucial to note any history of cardiac illnesses and assess risk factors, including age, gender, smoking, hypertension, diabetes, hyperlipidemia, and a sedentary lifestyle.During physical examination, vital...
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Quorum sensing is a mechanism of bacterial communication that enables coordinated gene expression in response to changes in population density. This facilitates collective behaviors that enhance survival, resource acquisition, and ecological adaptation. This process relies on small signaling molecules called autoinducers that accumulate as bacterial populations grow. When a critical threshold concentration of autoinducers is reached, bacterial cells collectively modify gene expression,...
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Related Experiment Video

Updated: Oct 3, 2025

Identification and Quantification of Deranged Metabolites in Critically Ill Patients Using NMR-Based Metabolomics
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Published on: November 29, 2024

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QRS micro-fragmentation as a mortality predictor.

Katerina Hnatkova1, Irena Andršová2,3, Tomáš Novotný2,3

  • 1National Heart and Lung Institute, Imperial College, ICTEM, Hammersmith Campus, 72 Du Cane Road, Shepherd's Bush, London W12 0NN, UK.

European Heart Journal
|February 21, 2022
PubMed
Summary
This summary is machine-generated.

A new technology quantifies invisible QRS

Keywords:
ElectrocardiogramFragmentationMortality predictionQRS complex

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Area of Science:

  • Cardiology
  • Biomedical Engineering
  • Signal Processing

Background:

  • Fragmented QRS complexes on ECGs indicate cardiac event risk.
  • Invisible depolarization abnormalities also pose risks but are unquantifiable.
  • Existing technology cannot detect these subtle ECG abnormalities.

Purpose of the Study:

  • To introduce a novel technology for quantifying invisible QRS abnormalities.
  • To assess the mortality predictive value of this new metric, QRS 'micro'-fragmentation (QRS-microf).

Main Methods:

  • Developed a signal processing method to project ECG leads into 3D, reconstruct, and quantify signal differences.
  • Assessed QRS-microf in three distinct populations (ICD patients, severe cardiac abnormalities, general public).
  • Investigated QRS-microf's predictive value for mortality against other risk factors.

Main Results:

  • QRS-microf strongly predicted survival across all three populations (P < 0.001 univariably).
  • Multivariable analyses confirmed QRS-microf's independent predictive power (P < 0.001 to P = 0.024).
  • QRS-microf surpassed visible QRS 'macro'-fragmentation (QRS-Mf) and QRS duration in predictive value.

Conclusions:

  • QRS-microf is a potent, independent mortality risk factor across diverse patient groups.
  • This novel metric captures electrophysiologic abnormalities linked to mortality.
  • QRS-microf offers superior prognostic information compared to traditional ECG measures.