Zhang Zhilong, Zhang Feifei, Zhang Xiaomeng, Lu Lanlan, Zhang Luxia
Institute of Medical Technology, Peking University Health Science Center, Beijing, China.
National Institute of Health Data Science at Peking University, Peking University Health Science Center, Beijing, China.
Health Data Sci. 2024 Nov 4;4:0199. doi: 10.34133/hds.0199. eCollection 2024.
Previous studies suggested that smoking behavior (e.g., smoking status) was associated with an elevated risk of chronic kidney disease (CKD), yet whether this association is causal remains uncertain. We used data for half million participants aged 40 to 69 years from the UK Biobank cohort. In the traditional observational study, we used Cox proportional hazards models to calculate the associations between 2 smoking indices-smoking status and lifetime smoking index and incident CKD stages 3 to 5. Mendelian randomization (MR) approaches were used to estimate a potential causal effect. In one-sample MR, genetic variants associated with lifetime smoking index were used as instrument variables to examine the causal associations with CKD stages 3 to 5, among 344,255 UK Biobank participants with white British ancestry. We further validated our findings by a two-sample MR analysis using information from the Chronic Kidney Disease Genetics Consortium genome-wide association study. In the traditional observational study, both smoking status [hazard ratio (HR): 1.26, 95% confidence interval (CI): 1.22 to 1.30] and lifetime smoking index (HR: 1.22, 95% CI: 1.20 to 1.24) were positively associated with a higher risk of incident CKD. However, both our one-sample and two-sample MR analyses showed no causal association between lifetime smoking index and CKD (all > 0.05). The genetic instruments were validated by several statistical tests, and all sensitivity analyses showed similar results with the main model. Evidence from our analyses does not suggest a causal effect of smoking behavior on CKD risk. The positive association presented in the traditional observational study is possibly a result of confounding.
以往研究表明,吸烟行为(如吸烟状况)与慢性肾脏病(CKD)风险升高相关,但这种关联是否为因果关系仍不确定。我们使用了英国生物银行队列中50万名40至69岁参与者的数据。在传统的观察性研究中,我们使用Cox比例风险模型来计算两种吸烟指标——吸烟状况和终生吸烟指数与CKD 3至5期发病之间的关联。采用孟德尔随机化(MR)方法来估计潜在的因果效应。在单样本MR中,在344,255名具有英国白人血统的英国生物银行参与者中,将与终生吸烟指数相关的基因变异用作工具变量,以检验与CKD 3至5期的因果关联。我们通过使用慢性肾脏病遗传学联盟全基因组关联研究的信息进行两样本MR分析,进一步验证了我们的研究结果。在传统的观察性研究中,吸烟状况[风险比(HR):1.26,95%置信区间(CI):1.22至1.30]和终生吸烟指数(HR:1.22,95%CI:1.20至1.24)均与CKD发病风险较高呈正相关。然而,我们的单样本和两样本MR分析均显示终生吸烟指数与CKD之间无因果关联(所有P>0.05)。基因工具通过多项统计检验得到验证,所有敏感性分析结果与主要模型相似。我们分析的证据并不表明吸烟行为对CKD风险有因果效应。传统观察性研究中呈现的正相关可能是混杂因素导致的结果。