Correlation of fragmented QRS complexes with the severity of CAD (using Syntax score) in patients with non-ST elevation acute coronary syndromes

Correlation of fragmented QRS complexes with the severity of CAD (using Syntax score) in patients with non-ST elevation acute coronary syndromes

Rahman, Hatem Abdel;Ghany, Mohamad Abdel;Youssef, Amr Ahamd Ali;
the egyptian heart journal 2016 Vol. 68 pp. 125-129
318
rahman2016correlationthe

Abstract

Background: Fragmented QRS (f-QRS) complexes are novel electrocardiographic signals, which reflect myocardial conduction delays in patients with coronary artery disease (CAD). The significance of f-QRS complexes in non-ST elevation ACS patients for detection of the severity of CAD (correlation with Syntax score) was evaluated in this prospective study. Methods: A total of 104 patients with non-ST-elevation ACS who underwent invasive coronary angiography for detection of coronary artery disease were recruited prospectively in this study, ECG was done to all patients, which showed f-QRS in 50 patients (f-QRS group) and inverted T wave or depressed ST in 54 patients (non f-QRS group). The significance of f-QRS complexes on 12-lead ECG for detection of the severity of the CAD (correlated with Syntax score) was assessed in this cohort of patients. Results: Among the patients studied, elderly patients (age ⩾ 65 years), males, diabetics, smokers and those with dyslipidemia had a significantly higher frequency of fQRS complexes (with P value = 0.02, 0.01, 0.019, 0.005, 0.02 respectively). Also, the present study found a higher frequency of f-QRS in patients with multi-vessel disease, in those with more severe degree of coronary artery stenosis, in those with positive Troponin I level and in those with high Syntax score (with P value = 0.009, 0.000, 0.000 respectively). Conclusions: The frequency of f-QRS complexes was found to be higher in elderly, diabetic, dyslipidemic, and male patients with NSTE-ACS. The higher frequency of (f-QRS) was correlated with the extent and severity of coronary lesions in patients with NSTE-ACS.

Citation

ID: 83410
Ref Key: rahman2016correlationthe
Use this key to autocite in SciMatic or Thesis Manager

References

Blockchain Verification

Account:
NFT Contract Address:
0x95644003c57E6F55A65596E3D9Eac6813e3566dA
Article ID:
83410
Unique Identifier:
Network:
Scimatic Chain (ID: 481)
Loading...
Blockchain Readiness Checklist
Authors
Abstract
Journal Name
Year
Title
5/5
Creates 1,000,000 NFT tokens for this article
Token Features:
  • ERC-1155 Standard NFT
  • 1 Million Supply per Article
  • Transferable via MetaMask
  • Permanent Blockchain Record
Blockchain QR Code
Scan with Saymatik Web3.0 Wallet

Saymatik Web3.0 Wallet