TY - JOUR
T1 - Non-genetic risk factors for atrial fibrillation are equally important in both young and old age
T2 - A nationwide population-based study
AU - Kim, Yun Gi
AU - Han, Kyung Do
AU - Choi, Jong Il
AU - Choi, Yun Young
AU - Choi, Ha Young
AU - Boo, Ki Yung
AU - Kim, Do Young
AU - Lee, Kwang No
AU - Shim, Jaemin
AU - Kim, Jin-Seok
AU - Park, Yong Gyu
AU - Kim, Young Hoon
N1 - Funding Information:
The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This workwas supported by a Korea University Grant (JIC), a grant from Korea University Anam Hospital, Seoul, Republic of Korea (J-IC), and in part, by grants from the Basic Science Research Program through the National Research Foundation of Korea funded by the Ministry of Education (NRF- 2015R1D1A1A02061859 to J-I.C) and the Ministry of Science, ICT, & Future Planning (NRF-2012R1A1A1013260 to JIC). The funders had no role in data collection, analysis, or interpretation; trial design; patient recruitment; or any aspect pertinent to the study.
Publisher Copyright:
© 2020 Published on behalf of the European Society of Cardiology. All rights reserved.
PY - 2021/6/1
Y1 - 2021/6/1
N2 - Aims: There are several non-genetic risk factors for new-onset atrial fibrillation, including age, sex, obesity, hypertension, diabetes, and alcohol consumption. However, whether these non-genetic risk factors have equal significance among different age groups is not known. We performed a nationwide population-based analysis to compare the clinical significance of non-genetic risk factors for new-onset atrial fibrillation in various age groups. Methods and results: A total of 9,797,409 people without a prior diagnosis of atrial fibrillation who underwent a national health check-up in 2009 were included. During 80,130,090 person-years of follow-up, a total of 196,136 people were diagnosed with new-onset atrial fibrillation. The impact of non-genetic risk factors on new-onset atrial fibrillation was examined in different age groups. Obesity, male sex, heavy alcohol consumption, smoking, hypertension, diabetes and chronic kidney disease were associated with an increased risk of new-onset atrial fibrillation. With minor variations, these risk factors were consistently associated with the risk of new-onset atrial fibrillation among various age groups. Using these risk factors, we created a scoring system to predict future risk of new-onset atrial fibrillation in different age groups. In receiver operating characteristic curve analysis, the predictive value of these risk factors ranged between 0.556 and 0.603, and no significant trends were observed. Conclusions: Non-genetic risk factors for new-onset atrial fibrillation may have a similar impact on different age groups. Except for sex, these non-genetic risk factors can be modifiable. Therefore, efforts to control non-genetic risk factors might have relevance for both the young and old.
AB - Aims: There are several non-genetic risk factors for new-onset atrial fibrillation, including age, sex, obesity, hypertension, diabetes, and alcohol consumption. However, whether these non-genetic risk factors have equal significance among different age groups is not known. We performed a nationwide population-based analysis to compare the clinical significance of non-genetic risk factors for new-onset atrial fibrillation in various age groups. Methods and results: A total of 9,797,409 people without a prior diagnosis of atrial fibrillation who underwent a national health check-up in 2009 were included. During 80,130,090 person-years of follow-up, a total of 196,136 people were diagnosed with new-onset atrial fibrillation. The impact of non-genetic risk factors on new-onset atrial fibrillation was examined in different age groups. Obesity, male sex, heavy alcohol consumption, smoking, hypertension, diabetes and chronic kidney disease were associated with an increased risk of new-onset atrial fibrillation. With minor variations, these risk factors were consistently associated with the risk of new-onset atrial fibrillation among various age groups. Using these risk factors, we created a scoring system to predict future risk of new-onset atrial fibrillation in different age groups. In receiver operating characteristic curve analysis, the predictive value of these risk factors ranged between 0.556 and 0.603, and no significant trends were observed. Conclusions: Non-genetic risk factors for new-onset atrial fibrillation may have a similar impact on different age groups. Except for sex, these non-genetic risk factors can be modifiable. Therefore, efforts to control non-genetic risk factors might have relevance for both the young and old.
KW - Atrial fibrillation
KW - primary prevention
KW - risk factors
KW - upstream therapy
UR - http://www.scopus.com/inward/record.url?scp=85083228607&partnerID=8YFLogxK
U2 - 10.1177/2047487320915664
DO - 10.1177/2047487320915664
M3 - Article
C2 - 34021574
AN - SCOPUS:85083228607
SN - 2047-4873
VL - 28
SP - 666
EP - 676
JO - European Journal of Preventive Cardiology
JF - European Journal of Preventive Cardiology
IS - 6
ER -