ArticleInternational journal of cardiology2020
Noninvasive biomarker-based risk stratification for development of new onset atrial fibrillation after coronary artery bypass surgery.
Article in International journal of cardiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.
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Who cites it
17 citing papers in PubMed, 1 synthesis or guideline pooled it, 30 citations in OpenAlex.
- Predictive Value of Preoperative Left Atrial Strain Parameters on Postoperative Atrial Fibrillation in Adults Undergoing Cardiac Surgery: A Systematic Review and Meta-Analysis.Interdisciplinary cardiovascular and thoracic surgery · 2026Pooled it
- New Insights in the Diagnosis and Treatment of Atrial Fibrillation in Patients with Hypertrophic Obstructive Cardiomyopathy.Journal of clinical medicine · 2026Review
- Impact of postoperative atrial fibrillation (POAF) on outcomes after coronary artery bypass grafting: A meta-analysis of unique 247,270 patients from 50 studies.American heart journal plus : cardiology research and practice · 2025Review
- Peak atrial longitudinal strain as a predictor of postoperative atrial fibrillation in isolated coronary artery bypass grafting: Insights from a single-centre study in Indonesia.Global cardiology science & practice · 2025Article
- A Review on the Etiologies of the Development of Atrial Fibrillation After Cardiac Surgery.Biomolecules · 2025Review
- The role of the systemic inflammatory response index in predicting postoperative atrial fibrillation.Revista da Associacao Medica Brasileira (1992) · 2025Article
- Epigenetic regulation of inflammation in post-operative organ dysfunction: A scoping review protocol.PloS one · 2025Article
- Circular RNAs in atrial fibrillation: From bioinformatics analysis of circRNA-miRNA-mRNA network to serum expression.Biochemistry and biophysics reports · 2023Article
- Gene Polymorphism and Recurrent Atrial Fibrillation after Catheter Ablation: A Comprehensive Review.Reviews in cardiovascular medicine · 2023Review
- Article
- Circulating MicroRNAs as Novel Biomarkers in Risk Assessment and Prognosis of Coronary Artery Disease.European cardiology · 2022Review
- Strain Echocardiography to Predict Postoperative Atrial Fibrillation.International journal of molecular sciences · 2022Review
- Comprehensive analysis of the ceRNA network in coronary artery disease.Scientific reports · 2021Article
- Diagnostic and Prognostic Value of miRNAs after Coronary Artery Bypass Grafting: A Review.Biology · 2021Review
- The Role of Exosomes and Their Cargos in the Mechanism, Diagnosis, and Treatment of Atrial Fibrillation.Frontiers in cardiovascular medicine · 2021Review
- RNAs and Gene Expression Predicting Postoperative Atrial Fibrillation in Cardiac Surgery Patients Undergoing Coronary Artery Bypass Grafting.Journal of clinical medicine · 2020Review
- Molecular Mechanisms, Diagnostic Aspects and Therapeutic Opportunities of Micro Ribonucleic Acids in Atrial Fibrillation.International journal of molecular sciences · 2020Review
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12 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundPostoperative atrial fibrillation (PoAF) is a common complication after cardiac surgery. A pre-existing atrial substrate appears to be important in postoperative development of dysrhythmia, but its preoperative estimation is challenging. We tested the hypothesis that a combination of clinical predictors, noninvasive surrogate markers for atrial fibrosis defining abnormal left atrial (LA) mechanics, and biomarkers of collagen turnover is superior to clinical predictors alone in identifying patients at-risk for PoAF.
methodsIn patients without prior AF undergoing coronary artery bypass grafting, concentrations of biomarkers reflecting collagen synthesis and degradation, extracellular matrix, and regulatory microRNA-29s were determined in serum from preoperative blood samples and correlated to atrial fibrosis extent, alteration in atrial deformation properties determined by 3D speckle-tracking echocardiography, and AF development.
resultsOf 90 patients without prior AF, 34 who developed PoAF were older than non-PoAF patients (72.04 ± 10.7 y; P = 0.043) with no significant difference in baseline comorbidities, LA size, or ventricular function. Global (P = 0.007) and regional longitudinal LA strain and ejection fraction (P = 0.01) were reduced in PoAF vs. non-PoAF patients. Preoperative amino-terminal-procollagen-III-peptide (PIIINP) (103.1 ± 39.7 vs. 35.1 ± 19.3; P = 0.041) and carboxy-terminal-procollagen-I-peptide levels were elevated in PoAF vs. non-PoAF patients with a reduction in miR-29 levels and correlated with atrial fibrosis extent. Combining age as the only significant clinical predictor with PIIINP and miR-29a provided a model that identified PoAF patients with higher predictive accuracy.
conclusionsIn patients without a previous history of AF, using age and biomarkers of collagen synthesis and regulation, a noninvasive tool was developed to identify those at risk for new-onset PoAF.
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