Mitrega, Katarzyna, Lip, Gregory YH 
ORCID: 0000-0002-7566-1626, Sredniawa, Beata, Sokal, Adam, Streb, Witold, Przyludzki, Karol, Zdrojewski, Tomasz, Wierucki, Lukasz, Rutkowski, Marcin, Bandosz, Piotr et al (show 4 more authors)
(2021)
Predicting Silent Atrial Fibrillation in the Elderly: A Report from the NOMED-AF Cross-Sectional Study.
JOURNAL OF CLINICAL MEDICINE, 10 (11).
2321-.
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Predicting Silent Atrial Fibrillation in the Elderly A Report from the NOMED-AF Cross-Sectional Study.pdf - Published version Download (935kB) | Preview |
Abstract
<h4>Background</h4>Silent atrial fibrillation (SAF) is common and is associated with poor outcomes.<h4>Aims</h4>to study the risk factors for AF and SAF in the elderly (≥65 years) general population and to develop a risk stratification model for predicting SAF.<h4>Methods</h4>Continuous ECG monitoring was performed for up to 30 days using a vest-based system in a cohort from NOMED-AF, a cross-sectional study based on a nationwide population sample. The independent risk factors for AF and SAF were determined using multiple logistic regression. ROC analysis was applied to validate the developed risk stratification score.<h4>Results</h4>From the total cohort of 3014 subjects, AF was diagnosed in 680 individuals (mean age, 77.5 ± 7.9; 50.1% men) with AF, and, of these, 41% had SAF. Independent associations with an increased risk of AF were age, male gender, coronary heart disease, thyroid diseases, prior ischemic stroke or transient ischemic attack (ICS/TIA), diabetes, heart failure, chronic kidney disease (CKD), obesity, and NT-proBNP >125 ng/mL. The risk factors for SAF were age, male gender, ICS/TIA, diabetes, heart failure, CKD, and NT-proBNP >125 ng/mL. We developed a clinical risk scale (MR-DASH score) that achieved a good level of prediction in the derivation cohort (AUC 0.726) and the validation cohort (AUC 0.730).<h4>Conclusions</h4>SAF is associated with various clinical risk factors in a population sample of individuals ≥65 years. Stratifying individuals from the general population according to their risk for SAF may be possible using the MR-DASH score, facilitating targeted screening programs of individuals with a high risk of SAF.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | silent atrial fibrillation, risk factors, risk assessment |
| Divisions: | Faculty of Health and Life Sciences Faculty of Health and Life Sciences > Institute of Life Courses and Medical Sciences |
| Depositing User: | Symplectic Admin |
| Date Deposited: | 20 Dec 2021 14:18 |
| Last Modified: | 01 Feb 2024 00:45 |
| DOI: | 10.3390/jcm10112321 |
| Related URLs: | |
| URI: | https://livrepository.liverpool.ac.uk/id/eprint/3145694 |
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