在急性呼吸衰竭的专家规则声明上达成共识,在重症监护室使用德尔菲方法的数字双胞胎患者模型中使用密切护理单元
Amy J Montgomery1, John Litell2, Johnny Dang3
1Department of Internal Medicine, Mayo Clinic, Rochester, USA.
Biomolecules & biomedicine
|July 11, 2023
概括
数字双胞胎患者模型可以帮助作出关键护理决策. 这项研究利用专家的共识制定了急性呼吸衰竭数字双胞胎的规则,与当前的医学知识保持一致.
科学领域:
- 关键护理医学 关键护理医学
- 数字健康数字健康
- 医疗模拟 医疗模拟
背景情况:
- 数字双胞胎技术提供了一个虚拟患者模型,用于测试没有患者风险的干预措施.
- 这项技术可以在重症监护室 (ICU) 作为一种有价值的决策辅助工具.
- 开发急性呼吸衰竭的数字双胞胎需要专家就潜在的病理生理学达成共识.
研究的目的:
- 在急性呼吸衰竭的医疗ICU患者中,就有关呼吸道病理生理学的陈述达成多学科专家共识.
- 为数字双胞胎患者模型建立专家衍生规则.
主要方法:
- 召集了一个由34名国际重症监护专家组成的小组.
- 利用定向非循环图 (DAG) 来建模呼吸衰竭病理生理学.
- 进行了三轮修改后的Delphi流程,在78个专家规则陈述上进行了利克特比例协议测量.
主要成果:
- 在78个专家规则陈述中的62个达成共识.
- 在关于气道阻塞,气膜通风和通风-透气匹配的陈述中,达成一致度最高.
- 最低的协议涉及冲击和缺血性呼吸衰竭之间的关系.
结论:
- 修改后的Delphi方法有效地产生对数字双胞胎开发专家规则的共识.
- 生成的专家规则在很大程度上与危急病患者呼吸衰竭的现有知识保持一致.
- 这项工作支持进一步开发急性呼吸衰竭的数字双胞胎患者模型.
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