Izmailova Elena S, Wood William A, Liu Qi, Zipunnikov Vadim, Bloomfield Daniel, Homsy Jason, Hoffmann Steven C, Wagner John A, Menetski Joseph P
Koneksa Health, New York, New York, USA.
Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, North Carolina, USA.
Digit Biomark. 2021 Apr 22;5(1):103-113. doi: 10.1159/000515110. eCollection 2021 Jan-Apr.
Clinical safety findings remain one of the reasons for attrition of drug candidates during clinical development. Cardiovascular liabilities are not consistently detected in early-stage clinical trials and often become apparent when drugs are administered chronically for extended periods of time. Vital sign data collection outside of the clinic offers an opportunity for deeper physiological characterization of drug candidates and earlier safety signal detection. A working group representing expertise from biopharmaceutical and technology sectors, US Food and Drug Administration (FDA) public-private partnerships, academia, and regulators discussed and presented a remote cardiac monitoring case study at the FNIH Biomarkers Consortium Remote Digital Monitoring for Medical Product Development workshop to examine applicability of the biomarker qualification evidentiary framework by the FDA. This use case examined the components of the framework, including the statement of need, the context of use, the state of the evidence, and the benefit/risk profile. Examination of results from 2 clinical trials deploying 510(k)-cleared devices for remote cardiac data collection demonstrated the need for analytical and clinical validity irrespectively of the regulatory status of a device of interest, emphasizing the importance of data collection method assessment in the context of intended use. Additionally, collection of large amounts of ambulatory data also highlighted the need for new statistical methods and contextual information to enable data interpretation. A wider adoption of this approach for drug development purposes will require collaborations across industry, academia, and regulatory agencies to establish methodologies and supportive data sets to enable data interpretation and decision-making.
临床安全性发现仍然是药物研发过程中候选药物淘汰的原因之一。心血管方面的问题在早期临床试验中并非总能被检测到,而且在长期慢性给药时往往会变得明显。在诊所外收集生命体征数据为更深入地了解候选药物的生理特性和更早地检测安全信号提供了机会。一个由生物制药和技术领域的专家、美国食品药品监督管理局(FDA)的公私合作机构、学术界和监管机构组成的工作组,在FNIH生物标志物联盟医疗产品开发远程数字监测研讨会上讨论并展示了一个远程心脏监测案例研究,以检验FDA生物标志物资格证据框架的适用性。这个用例研究了该框架的各个组成部分,包括需求说明、使用背景、证据状况以及获益/风险概况。对两项使用510(k)获批设备进行远程心脏数据收集的临床试验结果进行的审查表明,无论相关设备的监管状态如何,都需要分析和临床有效性,强调了在预期用途背景下评估数据收集方法的重要性。此外,收集大量动态数据也凸显了需要新的统计方法和背景信息来进行数据解读。为了药物研发目的更广泛地采用这种方法,将需要行业、学术界和监管机构之间的合作,以建立方法和支持性数据集,从而实现数据解读和决策。