新发房颤有几个非遗传危险因素,包括年龄,性别,肥胖,高血压,糖尿病,和酒精消费。然而,这些非遗传危险因素在不同年龄组之间是否具有同等意义尚不清楚.我们进行了一项全国人群分析,以比较不同年龄段新发房颤的非遗传危险因素的临床意义。
在2009年接受了全国健康检查的9,797,409人没有事先诊断为房颤。在80,130,090人年的随访中,共有196,136人被诊断为新发心房颤动.在不同年龄组检查了非遗传危险因素对新发房颤的影响。肥胖,男性,大量饮酒,吸烟,高血压,糖尿病和慢性肾脏病与新发房颤风险增加相关.随着微小的变化,在不同年龄组中,这些危险因素始终与新发房颤的风险相关.利用这些风险因素,我们创建了一个评分系统来预测不同年龄组未来新发房颤的风险.在接收机工作特性曲线分析中,这些危险因素的预测价值介于0.556~0.603之间,且未观察到显著趋势.
新发房颤的非遗传危险因素可能对不同年龄组有相似的影响。除了性,这些非遗传风险因素是可以修改的。因此,控制非遗传危险因素的努力可能对年轻人和老年人都有相关性。
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.
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.
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.