Abstract:Atrial fibrillation (AF) is the most common arrhythmia in clinical practice. Many cardiovascular diseases and risk factors can increase the risk of AF. At present, it is generally considered as a kind of "fibrous atrial cardiomyopathy". Fibrosis results from a broad range of factors related to AF inducing pathologies such as cell stretch, neurohumoral activation, and oxidative stress. During to the lack of sufficient efficacy and safety of radiofrequency ablation and antiarrhythmic drugs, it is difficult to control the recurrence and progress of AF, moreover, reduce the quality of life of patients and increase the risk of death, and prevent the recurrence of AF. Preventing AF recurrence and blocking its progression are crucial. The understanding and in-depth study of the risk factors and recurrence prediction indexes of AF can not only prevent, treat and delay the progression of these arrhythmias, but also reduce the arrhythmia burden in patients with first detected AF, more imporant, which can improve their quality of life and survival rate. More and more biomarkers [recombinant human brain natriuretic peptide (BNP), C reactive protein (CRP), interleukin 6, neutrophil lymphocyte ratio and ST2] are more and more commonly used, simple and easy to obtain. The related indexes such as biomarkers, gene detection and imaging can be used to evaluate and predict the occurrence, recurrence, progression and prognosis of AF. This paper will summarize the above contents as follows.