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Risk-Based-Disease-Surveillance_chest
Risk-Based-Disease-Surveillance_chest
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The document discusses the potential of improving early identification of atrial fibrillation (AF), a prevalent arrhythmia, particularly through risk-based surveillance. AF is associated with significant cardiovascular issues and is often underdiagnosed due to its asymptomatic and intermittent nature. Current practices predominantly involve monitoring with implantable loop recorders post-stroke; however, similar devices or even smartphone apps could be beneficial for preemptive screening in high-risk populations, potentially reducing strokes through early intervention.<br /><br />A new risk score, C2HEST, is introduced as a predictive tool for AF development. The study, conducted by Li et al., involved a large cohort from the Chinese Yunnan Insurance Database for score derivation and a Korean cohort for validation. This score assesses risk factors like coronary artery disease, COPD, hypertension, elderly age, systolic heart failure, and thyroid disease. The C2HEST score demonstrated better predictive accuracy for AF compared to existing scores like CHADS2 and CHA2DS2-VASc, especially in Asian populations. These existing scores, while useful in predicting thromboembolic events in current AF patients, had not been as extensively validated in Asian groups for predicting new-onset AF.<br /><br />While the findings suggest that the C2HEST score could enhance AF prediction and management, particularly in high-risk individuals, the study faced limitations. Exclusion of patients with structural heart disease might impact its comprehensiveness. Additionally, it might underreport AF incidence since it relied on inpatient records.<br /><br />The potential application of the C2HEST score includes early disease identification, reducing AF-related morbidity, and possibly lowering risks of thromboembolic complications. Its clinical utility could extend beyond stroke prevention, aiding in managing conditions where AF heightens risk. Further research may establish its efficacy in predicting thromboembolic events associated with AF.
Keywords
atrial fibrillation
risk-based surveillance
C2HEST score
early identification
cardiovascular issues
high-risk populations
predictive tool
Asian populations
thromboembolic events
Li et al.
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