Dataset Information

Data-driven discovery and validation of circulating blood-based biomarkers associated with prevalent atrial fibrillation.

ABSTRACT:

Aims

Undetected atrial fibrillation (AF) is a major health concern. Blood biomarkers associated with AF could simplify patient selection for screening and further inform ongoing research towards stratified prevention and treatment of AF.

Methods and results

Forty common cardiovascular biomarkers were quantified in 638 consecutive patients referred to hospital [mean?±?standard deviation age 70?±?12?years, 398 (62%) male, 294 (46%) with AF] with known AF or ?2 CHA2DS2-VASc risk factors. Paroxysmal or silent AF was ruled out by 7-day ECG monitoring. Logistic regression with forward selection and machine learning algorithms were used to determine clinical risk factors, imaging parameters, and biomarkers associated with AF. Atrial fibrillation was significantly associated with age [bootstrapped odds ratio (OR) per year?=?1.060, 95% confidence interval (1.04-1.10); P?=?0.001], male sex [OR?=?2.022 (1.28-3.56); P?=?0.008], body mass index [BMI, OR per unit?=?1.060 (1.02-1.12); P?=?0.003], elevated brain natriuretic peptide [BNP, OR per fold change?=?1.293 (1.11-1.63); P?=?0.002], elevated fibroblast growth factor-23 [FGF-23, OR?=?1.667 (1.36-2.34); P?=?0.001], and reduced TNF-related apoptosis-induced ligand-receptor 2 [TRAIL-R2, OR?=?0.242 (0.14-0.32); P?=?0.001], but not other biomarkers. Biomarkers improved the prediction of AF compared with clinical risk factors alone (net reclassification improvement?=?0.178; P?ConclusionThree simple clinical risk factors (age, sex, and BMI) and two biomarkers (elevated BNP and elevated FGF-23) identify patients with AF. Further research is warranted to elucidate FGF-23 dependent mechanisms of AF.

SUBMITTER: Chua W

PROVIDER: S-EPMC6475521 | biostudies-literature | 2019 Apr

REPOSITORIES: biostudies-literature

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Publications

Data-driven discovery and validation of circulating blood-based biomarkers associated with prevalent atrial fibrillation.

Chua Winnie W Purmah Yanish Y Cardoso Victor R VR Gkoutos Georgios V GV Tull Samantha P SP Neculau Georgiana G Thomas Mark R MR Kotecha Dipak D Lip Gregory Y H GYH Kirchhof Paulus P Fabritz Larissa L

European heart journal 20190401 16

<h4>Aims</h4>Undetected atrial fibrillation (AF) is a major health concern. Blood biomarkers associated with AF could simplify patient selection for screening and further inform ongoing research towards stratified prevention and treatment of AF.<h4>Methods and results</h4>Forty common cardiovascular biomarkers were quantified in 638 consecutive patients referred to hospital [mean ± standard deviation age 70 ± 12 years, 398 (62%) male, 294 (46%) with AF] with known AF or ≥2 CHA2DS2-VASc risk fact ...[more]

PMID: 30615112

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Dataset Information

Data-driven discovery and validation of circulating blood-based biomarkers associated with prevalent atrial fibrillation.

Aims

Methods and results

Publications

Data-driven discovery and validation of circulating blood-based biomarkers associated with prevalent atrial fibrillation.

Similar Datasets

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