Department of Internal Medicine, Mayo Clinic Rochester.
Department of Cardiovascular Medicine, Mayo Clinic Rochester, Rochester, Minnesota, USA.
Curr Opin Crit Care. 2023 Aug 1;29(4):371-380. doi: 10.1097/MCC.0000000000001066. Epub 2023 Jun 19.
Cardiogenic shock (CS) results in persistently high short-term mortality and a lack of evidence-based therapies. Several trials of novel interventions have failed to show an improvement in clinical outcomes despite promising preclinical and physiologic principles. In this review, we highlight the challenges of CS trials and provide suggestions for the optimization and harmonization of their design.
CS clinical trials have been plagued by slow or incomplete enrolment, heterogeneous or nonrepresentative patient cohorts, and neutral results. To achieve meaningful, practice-changing results in CS clinical trials, an accurate CS definition, a pragmatic staging of its severity for appropriate patient selection, an improvement in informed consent process, and the use of patient-centered outcomes are required. Future optimizations include the use of predictive enrichment using host response biomarkers to unravel the biological heterogeneity of the CS syndrome and identify subphenotypes most likely to benefit from individualized treatment to allow a personalized medicine approach.
Accurate characterization of CS severity and its pathophysiology are crucial to unravel heterogeneity and identify the patients most likely to benefit from a tested treatment. Implementation of biomarker-stratified adaptive clinical trial designs (i.e., biomarker or subphenotype-based therapy) might provide important insights into treatment effects.
心原性休克(CS)导致短期死亡率持续居高不下,且缺乏循证治疗方法。尽管有前景的临床前和生理学原理,但几种新型干预措施的试验均未能显示出临床结局的改善。在这篇综述中,我们强调了 CS 试验的挑战,并提出了优化和协调其设计的建议。
CS 临床试验一直受到招募缓慢或不完整、患者队列异质性或非代表性以及中性结果的困扰。为了在 CS 临床试验中取得有意义的、改变实践的结果,需要准确定义 CS,对其严重程度进行务实分期以进行适当的患者选择,改进知情同意过程,并使用以患者为中心的结局。未来的优化包括使用宿主反应生物标志物进行预测性富集,以揭示 CS 综合征的生物学异质性,并确定最有可能从个体化治疗中获益的亚表型,从而实现个体化医疗方法。
准确描述 CS 的严重程度及其病理生理学对于揭示异质性和确定最有可能从经过测试的治疗中获益的患者至关重要。实施基于生物标志物分层的适应性临床试验设计(即基于生物标志物或亚表型的治疗)可能会为治疗效果提供重要见解。