Acupuncture and Tuina School, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China.
Department of Cardiology, Sichuan No. 2 Hospital of Traditional Chinese Medicine, Chengdu, Sichuan, China.
Medicine (Baltimore). 2024 Oct 18;103(42):e40005. doi: 10.1097/MD.0000000000040005.
Growing evidence suggests that heart failure (HF) is associated with an increased risk of depressive disorders and anxiety. However, the existing studies were observational and may have confounded and not reflected true causal relationships. This study collected genetic instruments about HF, depression, and anxiety from publicly available genetic summary data. Two-sample Mendelian randomization (MR) analysis was performed, with inverse-variance weighted designated as the primary approach for determining causal effects. Secondary analyses included MR-Egger regression and the weighted media method. Additionally, we conducted MR pleiotropy residual sum and outlier to address horizontal pleiotropy. Cochran Q test, MR-Egger intercept test, and leave-one-out analysis were used to assess the robustness of the findings. The significance is determined by a P-value below .05. Gene prediction result revealed that HF did not exhibit a significant association with elevated incidence of depression by inverse-variance weighted method no matter HF from the Heart Failure Molecular Epidemiology for Therapeutic Targets Consortium (odds ratio [OR] = 1.05, 95% confidence interval [CI] = 0.93-1.18, P = .424 for major depressive disorder, MDD; OR = 1.01, 95% CI = 0.94-1.09, P = .782 for major depression) or the FinnGen Consortium (OR = 1.03, 95% CI = 0.92-1.15, P = .644 for MDD; OR = 1.00, 95% CI = 0.94-1.07, P = .962 for major depression). In contrast, the results of HF on anxiety exhibited inconsistency (OR = 1.60, 95% CI = 1.10-2.31, P = .013 for Heart Failure Molecular Epidemiology for Therapeutic Targets Consortium; OR = 1.42, 95% CI = 0.91-2.21, P = .123 for FinnGen Consortium); however, a combined effect analysis indicated support causal relationship between HF and the risk of anxiety (OR = 1.52, 95% CI = 1.07-2.00, P < .001). Our findings did not reveal evidence to confirm a causal association between HF and depression. However, our results provide support for a causal effect of HF on the risk of anxiety.
越来越多的证据表明,心力衰竭(HF)与抑郁障碍和焦虑的风险增加有关。然而,现有的研究都是观察性的,可能存在混杂因素,不能反映真实的因果关系。本研究从公开的遗传汇总数据中收集了关于 HF、抑郁和焦虑的遗传工具。采用两样本 Mendelian 随机化(MR)分析,以逆方差加权为确定因果效应的主要方法。次要分析包括 MR-Egger 回归和加权中位数法。此外,我们还进行了 MR 偏倚残差总和和异常值分析,以解决水平偏倚问题。Cochran Q 检验、MR-Egger 截距检验和逐一剔除分析用于评估结果的稳健性。显著性由 P 值<0.05 确定。基因预测结果表明,HF 与抑郁障碍的发生率升高没有显著关联,无论 HF 来自心力衰竭分子流行病学治疗靶点联盟(比值比[OR]为 1.05,95%置信区间[CI]为 0.93-1.18,P=0.424)还是芬兰基因联合会(OR 为 1.01,95%CI 为 0.94-1.09,P=0.782)。相比之下,HF 与焦虑的相关性结果不一致(HF 对焦虑的 OR 为 1.60,95%CI 为 1.10-2.31,P=0.013,心力衰竭分子流行病学治疗靶点联盟;HF 对焦虑的 OR 为 1.42,95%CI 为 0.91-2.21,P=0.123,芬兰基因联合会);然而,合并效应分析表明 HF 与焦虑风险之间存在因果关系(OR 为 1.52,95%CI 为 1.07-2.00,P<0.001)。我们的研究结果没有提供证据证实 HF 与抑郁之间存在因果关系。然而,我们的研究结果为 HF 与焦虑风险之间的因果关系提供了支持。