Department of Electrophysiology, Guigang City People's Hospital, Guigang, Guangxi, China.
Department of Cardiology, Guigang City People's Hospital, Guigang, Guangxi, China.
J Electrocardiol. 2024 May-Jun;84:58-64. doi: 10.1016/j.jelectrocard.2024.03.007. Epub 2024 Mar 18.
Cardiovascular diseases (CVDs) remain a global health concern, and body mass index (BMI) is known to be associated with an increased risk of CVD, but the exact mechanisms underlying this relationship remain unclear. This study employs Mendelian randomization (MR) to investigate the causal association between BMI and electrocardiogram (ECG) indices, providing insights into potential pathways linking obesity to CVD.
We conducted a comprehensive MR study utilizing large-scale genetic and ECG data from diverse populations. Instrumental variables were selected from genome-wide association studies, ensuring their relevance to BMI. Causal relationships between BMI and ECG indices, including P wave duration, PR interval, QRS duration, and QT interval, were assessed using various MR methods, with inverse variance weighted (IVW) considered as the primary analysis.
Our MR analysis revealed a significant positive causal association between higher BMI and P wave duration (β = 8.078, 95% CI: 5.322 to 10.833, p < 0.001), suggesting a potential mechanism through which higher BMI may contribute to arrhythmogenic risks. However, no significant causal associations were observed between BMI and PR interval, QRS duration, or QT interval (all p > 0.005). In addition, our study also found that there is no horizontal pleiotropy between BMI and P wave duration, PR interval, QRS duration, and QT interval, suggesting that the conclusions of this study are robust.
This study supports a causal relationship between elevated BMI and prolonged P wave duration, a marker of increased atrial arrhythmogenic risk. Further investigations are still needed to elucidate the underlying mechanisms.
心血管疾病(CVDs)仍然是一个全球性的健康问题,体重指数(BMI)与 CVD 风险增加有关,但这种关系的确切机制仍不清楚。本研究采用孟德尔随机化(MR)来研究 BMI 与心电图(ECG)指标之间的因果关系,为肥胖与 CVD 之间的潜在联系提供了深入的了解。
我们利用来自不同人群的大规模遗传和 ECG 数据进行了全面的 MR 研究。工具变量从全基因组关联研究中选择,以确保它们与 BMI 相关。使用各种 MR 方法评估 BMI 与 ECG 指标(包括 P 波持续时间、PR 间隔、QRS 持续时间和 QT 间隔)之间的因果关系,逆方差加权(IVW)被视为主要分析。
我们的 MR 分析表明,较高的 BMI 与 P 波持续时间之间存在显著的正因果关系(β=8.078,95%CI:5.322 至 10.833,p<0.001),这表明较高的 BMI 可能通过某种机制增加心律失常的风险。然而,BMI 与 PR 间隔、QRS 持续时间或 QT 间隔之间没有观察到显著的因果关系(均 p>0.005)。此外,我们的研究还发现,BMI 与 P 波持续时间、PR 间隔、QRS 持续时间和 QT 间隔之间没有水平多效性,这表明本研究的结论是稳健的。
本研究支持升高的 BMI 与 P 波持续时间延长之间存在因果关系,P 波持续时间延长是心房性心律失常风险增加的一个标志物。还需要进一步的研究来阐明潜在的机制。