Liao Li-Zhen, Wen Xiu-Yun, Zhang Shao-Zhao, Li Wei-Dong, Zhuang Xiao-Dong
Guangzhou Higher Education Mega Center, Guangdong Pharmaceutical University, Guangzhou, China.
Guangdong Engineering Research Center for Light and Health, Guangzhou Higher Education Mega Center, Guangzhou, China.
Front Cardiovasc Med. 2021 Mar 23;8:644405. doi: 10.3389/fcvm.2021.644405. eCollection 2021.
Hypertension (HT) and atrial fibrillation (AF) often coexist. However, the causality between these two conditions remains to be determined. We used individual participant data from the Atherosclerosis Risk in Communities (ARIC) prospective cohort with 9,474 participants. HT was ascertained at visit 1 (1987-1989), and incident AF was identified by ECGs conducted during study examinations at each visit, hospital discharge codes, and death certificates. We used the Kaplan-Meier estimate to compute the cumulative incidence of AF by the HT subgroup. Then we used Cox hazard regression model to assess the association between HT and incident AF. The causality between genetically determined HT and AF was analyzed by the two-sample Mendelian randomization (MR) based on publicly summarized genome-wide association studies (GWASs) data. A total of 1,414 cases (14.9%) of AF were identified during the follow-up period (median 24.1 years). After adjusting for all covariates, the hazard ratio between the participants with HT and incident AF was 1.50 [95% confidence interval (CI) 1.29-1.73]. In the HT → AF MR analysis, we detected a causal correlation between HT and AF (OR: 1.90, 95% CI 1.18-3.04, = 0.01) with no evidence of heterogeneity from single-nucleotide polymorphisms. Besides, the genetically determined SBP and DBP (10 mmHg) were consistently associated with a higher risk of AF. In the ARIC study, the incident AF increased by 50% in patients with HT. In the MR analysis, our results supported causal inference between HT and AF.
高血压(HT)和心房颤动(AF)常常并存。然而,这两种病症之间的因果关系仍有待确定。我们使用了来自社区动脉粥样硬化风险(ARIC)前瞻性队列研究的个体参与者数据,该队列有9474名参与者。在第1次随访(1987 - 1989年)时确定是否患有高血压,通过每次随访时研究检查期间进行的心电图、医院出院编码和死亡证明来识别新发房颤。我们使用Kaplan - Meier估计法计算高血压亚组中房颤的累积发病率。然后我们使用Cox风险回归模型评估高血压与新发房颤之间的关联。基于公开汇总的全基因组关联研究(GWAS)数据,通过两样本孟德尔随机化(MR)分析遗传决定的高血压与房颤之间的因果关系。在随访期间(中位随访时间24.1年)共识别出1414例(14.9%)房颤病例。在对所有协变量进行调整后,患有高血压的参与者与新发房颤之间的风险比为1.50 [95%置信区间(CI)1.29 - 1.73]。在高血压→房颤的孟德尔随机化分析中,我们检测到高血压与房颤之间存在因果相关性(比值比:1.90,95% CI 1.18 - 3.04,P = 0.01),且没有单核苷酸多态性异质性的证据。此外,遗传决定的收缩压和舒张压每升高10 mmHg均与房颤风险升高持续相关。在ARIC研究中,高血压患者的新发房颤增加了50%。在孟德尔随机化分析中,我们的结果支持高血压与房颤之间的因果推断。