Department of Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA.
Department of Biostatistics, University of Washington School of Public Health, Seattle, WA, USA.
Eur Respir J. 2023 Jul 27;62(1). doi: 10.1183/13993003.00190-2023. Print 2023 Jul.
It is currently unknown if disease severity modifies response to therapy in pulmonary arterial hypertension (PAH). We aimed to explore if disease severity, as defined by established risk-prediction algorithms, modified response to therapy in randomised clinical trials in PAH.
We performed a meta-analysis using individual participant data from 18 randomised clinical trials of therapy for PAH submitted to the United States Food and Drug Administration to determine if predicted risk of 1-year mortality at randomisation modified the treatment effect on three outcomes: change in 6-min walk distance (6MWD), clinical worsening at 12 weeks and time to clinical worsening.
Of 6561 patients with a baseline US Registry to Evaluate Early and Long-Term PAH Disease Management (REVEAL 2.0) score, we found that individuals with higher baseline risk had higher probabilities of clinical worsening but no difference in change in 6MWD. We detected a significant interaction of REVEAL 2.0 risk and treatment assignment on change in 6MWD. For every 3-point increase in REVEAL 2.0 score, there was a 12.49 m (95% CI 5.86-19.12 m; p=0.001) greater treatment effect in change in 6MWD. We did not detect a significant risk by treatment interaction on clinical worsening with most of the risk-prediction algorithms.
We found that predicted risk of 1-year mortality in PAH modified treatment effect as measured by 6MWD, but not clinical worsening. Our findings highlight the importance of identifying sources of treatment heterogeneity by predicted risk to tailor studies to patients most likely to have the greatest treatment response.
目前尚不清楚疾病严重程度是否会改变肺动脉高压(PAH)的治疗反应。我们旨在探讨既定风险预测算法定义的疾病严重程度是否会改变 PAH 随机临床试验中的治疗反应。
我们使用提交给美国食品和药物管理局的 18 项 PAH 治疗随机临床试验的个体参与者数据进行荟萃分析,以确定随机分组时预测的 1 年死亡率风险是否改变了三个结局的治疗效果:6 分钟步行距离(6MWD)的变化、12 周时的临床恶化以及临床恶化的时间。
在基线美国注册评估早期和长期 PAH 疾病管理(REVEAL 2.0)评分的 6561 例患者中,我们发现基线风险较高的个体发生临床恶化的可能性较高,但 6MWD 的变化无差异。我们检测到 REVEAL 2.0 风险与治疗分配对 6MWD 变化的显著交互作用。REVEAL 2.0 评分每增加 3 分,6MWD 变化的治疗效果就会增加 12.49m(95%CI 5.86-19.12m;p=0.001)。对于大多数风险预测算法,我们没有检测到临床恶化的风险与治疗的交互作用。
我们发现 PAH 中 1 年死亡率的预测风险改变了 6MWD 衡量的治疗效果,但没有改变临床恶化。我们的发现强调了通过预测风险识别治疗异质性的来源以针对最有可能有最大治疗反应的患者定制研究的重要性。