Department of Biostatistics and Health Data Science and.
University of Colorado Denver Anschutz Medical Campus, Aurora, Colorado; and.
Ann Am Thorac Soc. 2024 Oct;21(10):1407-1415. doi: 10.1513/AnnalsATS.202312-1054OC.
Observational studies report a significant protective effect of antifibrotics on mortality among patients with idiopathic pulmonary fibrosis (IPF). Many of these studies, however, were subject to immortal time bias because of the mishandling of delayed antifibrotic initiation. To evaluate the antifibrotic effect on mortality among patients with IPF using appropriate statistical methods that avoid immortal time bias. Using a large administrative database, we identified 10,289 patients with IPF, of whom 2,300 used antifibrotics. Treating delayed antifibrotic initiation as a time-dependent variable, three statistical methods were used to control baseline characteristics and avoid immortal time bias. Stratified analysis was performed for patients who initiated antifibrotics early and those who initiated treatment late. For comparison, methods that mishandle immortal time bias were performed. A simulation study was conducted to demonstrate the performance of these models in a wide range of scenarios. All three statistical methods yielded nonsignificant results for the antifibrotic effect on mortality, with the stratified analysis for patients with early antifibrotic initiation suggesting evidence for reduced mortality risk (for all patients, hazard ratio, 0.89; 95% confidence interval, 0.79-1.01; = 0.08; for patients who were 65 years or older, hazard ratio, 0.85; 95% confidence interval, 0.73-0.98; = 0.03). Methods that mishandle immortal time bias demonstrated significantly lower mortality risk for antifibrotic users. Bias of these methods was evident in the simulation study, where appropriate methods performed well with little to no bias. Findings in this study did not confirm an association between antifibrotics and mortality, with a stratified analysis showing support for a potential treatment effect with early treatment initiation.
观察性研究报告称,抗纤维化药物对特发性肺纤维化 (IPF) 患者的死亡率有显著的保护作用。然而,由于对延迟抗纤维化治疗的不当处理,这些研究中有许多都存在无竞争风险时间偏倚。 为了使用适当的统计方法评估抗纤维化药物对 IPF 患者死亡率的影响,这些方法可以避免无竞争风险时间偏倚。 我们使用一个大型行政数据库,确定了 10289 名 IPF 患者,其中 2300 名患者使用了抗纤维化药物。将延迟抗纤维化治疗视为一个时变变量,我们使用了三种统计方法来控制基线特征并避免无竞争风险时间偏倚。对早期和晚期开始抗纤维化治疗的患者进行分层分析。为了比较,还进行了处理无竞争风险时间偏倚的方法。进行了模拟研究,以证明这些模型在广泛的场景下的表现。 所有三种统计方法对抗纤维化药物对死亡率的影响均得出无统计学意义的结果,对早期开始抗纤维化治疗的患者进行分层分析表明,死亡率风险降低的证据(对于所有患者,风险比为 0.89;95%置信区间为 0.79-1.01; = 0.08;对于 65 岁或以上的患者,风险比为 0.85;95%置信区间为 0.73-0.98; = 0.03)。处理无竞争风险时间偏倚的方法表明抗纤维化药物使用者的死亡率风险显著降低。在模拟研究中,这些方法存在偏差,而适当的方法表现良好,几乎没有偏差。 本研究的结果并未证实抗纤维化药物与死亡率之间存在关联,分层分析表明早期治疗开始可能存在潜在的治疗效果。