新型临床表型对败血症的衍生,验证和潜在治疗影响
Christopher W Seymour1,2,3, Jason N Kennedy1,3, Shu Wang4
1Department of Critical Care Medicine, School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania.
JAMA
|May 20, 2019
概括
研究人员使用临床数据确定了四种不同的败血症表型. 这些败血症亚型与宿主反应和患者结果相关,有可能提高治疗精度和临床试验设计.
科学领域:
- 危急护理医学
- 数据科学
- 生物统计学
背景情况:
- 败血症是一种复杂的异质综合征,需要精确的治疗策略.
- 识别不同的临床表型可以导致更有针对性的治疗和改善患者护理.
研究的目的:
- 从电子健康记录数据中推导和验证不同的败血症临床表型.
- 评估这些表型与宿主反应生物标志物和临床结果的相关性.
- 评估这些表型对随机临床试验 (RCT) 结果的潜在影响.
主要方法:
- 在29个变量上使用共识k-means集群对大规模败血症数据集 (超过20,000名患者) 的回顾性分析.
- 在一个单独的大队列 (超过43,000名患者),一个潜在的肺炎败血症队列和三个败血症RCT中进行验证.
- 使用统计,机器学习和模拟工具.
主要成果:
- 确定了四种不同的败血症表型 (α,β,γ,δ),频率和临床特征各不相同 (例如年龄,并发症,器官功能障碍).
- 在宿主反应生物标志物和显著不同的28天和365天死亡率中观察到不同类型 (α: 5%,β: 13%,γ: 24%,δ: 40%).
- 模拟模型表明,表型频率可以显著改变RCT结果的解释,这表明治疗效果的异质性.
结论:
- 确定了四种可复制性败血症临床表型,与不同的宿主反应模式和死亡率有关.
- 这些表型为了解败血症异质性和指导个性化治疗策略提供了潜在的框架.
- 需要进一步的研究来将这些表型纳入临床实践,并完善临床试验设计和解释.
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