细胞因子释放综合征的数字生物标志物:范围审查和本体学数字测量作用和相关性的发展,使用混合方法方法
Christopher J Medberry1, Charlotte Zoe Angel2, Ashita S Batavia1
1Johnson and Johnson Innovative Medicine, New Brunswick, NJ, United States.
Journal of medical Internet research
|December 11, 2025
概括
早期发现细胞因子释放综合征 (CRS) 对癌症免疫治疗至关重要. 这次审查开发了早期预警信号的本体学,确定了改善CRS预测和管理的关键生理指标.
科学领域:
- 在瘤学瘤学.
- 免疫学 免疫学 免疫学
- 数字健康数字健康
背景情况:
- 癌症免疫疗法提供了显著的进步,但携带高风险的细胞因子释放综合征 (CRS),严重的免疫相关的不良事件.
- 早期识别CRS对于降低风险,扩大患者获得免疫疗法,减少患者和医疗负担至关重要.
- 数字健康技术 (DHT) 显示出持续监测的前景,可能在临床症状出现之前检测到CRS.
研究的目的:
- 通过开发早期预警信号的全面本体学来解决对CRS可靠早期预警措施的需求.
- 建立一个结构化的模型,定义测量概念,属性和相互关系,以推进CRS的早期预警模型.
主要方法:
- 采用了混合方法的方法,包括PubMed和Embase (2014-2024) 的范围文献综述和调查和采访的定性/定量分析.
- 搜索了报告免疫疗法管理和CRS发作之间收集的措施的研究.
- 主题专家 (中小企业) 和关键论领袖 (KOLs) 参与了调查和采访,以完善确定措施.
主要成果:
- 30项研究符合资格标准,显示报告中的CRS指标存在不一致.
- 开发了CRS早期预警信号的全面本体学,包括生理征兆,临床症状和实验室标记.
- 温度,心率,血压和氧和被确定为用于预测评估的早期预警信号的核心组.
结论:
- 标准化和采用CRS早期预警标志本体学将增强用于强大的预测模型的数据收集.
- 这种结构化方法促进了实际数据收集,改善了CRS的预测和管理.
- 基于这些早期预警信号的预测模型的开发可以改善CRS风险评估,支持分散的试验,并扩大对免疫疗法的获取.
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