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The role of fQRS in coronary artery disease. A meta-analysis of observational studies.
- Source :
-
Herz [Herz] 2015 Mar; Vol. 40 Suppl 1, pp. 8-15. Date of Electronic Publication: 2014 Oct 23. - Publication Year :
- 2015
-
Abstract
- Background: Experimental and clinical studies have suggested that the presence of fragmented QRS complex (fQRS) is associated with various cardiovascular diseases. fQRS may predict major adverse cardiovascular events (MACE). The current meta-analysis was performed using clinical outcome studies to evaluate the role of fQRS in coronary artery disease (CAD).<br />Methods: A systematic search of electronic databases (Cochrane, Medline, Embase and Pubmed) from their inception to April 2014 was performed. Data were extracted from applicable articles to evaluate the prognostic value of fQRS in CAD.<br />Results: A total of 16 observational studies about fQRS and CAD (n = 3,997 patients) were identified. Compared with the non-fQRS group, MACE and mortality were significantly higher in the fQRS group -odds ratios (OR) 3.19, 95 % confidence interval (95 % CI) [2.3, 4.42], p < 0.00001; OR 2.24, 95 % CI [1.71, 2.94], p < 0.0001. Patients developed Q waves, anterior-wall myocardial infarction (MI), and low left ventricular ejection fraction (LVEF) more frequently in the fQRS group than in the non-fQRS group-OR 2.59, 95 % CI [1.76, 3.81], p < 0.00001; OR 2.43, 95 % CI [1.07, 5.52], p = 0.03; OR - 6.43, 95 % CI [- 9.11, - 3.74], p < 0.00001.<br />Conclusion: Based on current evidence, fQRS was associated with increased MACE, mortality, Q waves, anterior-wall MI, and decreased LVEF in CAD. These findings show that fQRS is a reliable marker in CAD.
- Subjects :
- Aged
Cerebrovascular Disorders diagnosis
Diagnosis, Computer-Assisted methods
Diagnosis, Computer-Assisted statistics & numerical data
Electrocardiography methods
Female
Heart Failure diagnosis
Humans
Incidence
Male
Middle Aged
Myocardial Infarction diagnosis
Observational Studies as Topic statistics & numerical data
Reproducibility of Results
Risk Assessment methods
Sensitivity and Specificity
Survival Rate
Cerebrovascular Disorders mortality
Coronary Artery Disease diagnosis
Coronary Artery Disease mortality
Electrocardiography statistics & numerical data
Heart Failure mortality
Myocardial Infarction mortality
Subjects
Details
- Language :
- English
- ISSN :
- 1615-6692
- Volume :
- 40 Suppl 1
- Database :
- MEDLINE
- Journal :
- Herz
- Publication Type :
- Academic Journal
- Accession number :
- 25336240
- Full Text :
- https://doi.org/10.1007/s00059-014-4155-5