Coronavirus Disease 2019 Calls for Predictive Analytics Monitoring-A New Kind of Illness Scoring System.
Coronavirus Disease 2019 Calls for Predictive Analytics Monitoring-A New Kind of Illness Scoring System.
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DOI：
10.1097/cce.0000000000000294
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发表时间：
2020-12
影响因子：
--
通讯作者：
Moorman JR
中科院分区：
文献类型：
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作者：
Davis JP;Wessells DA;Moorman JR
2019年冠状病毒病可能导致突然和严重的呼吸衰竭，需要气管插管，这种手术在选择性而不是紧急情况下进行更安全。对该事件风险上升的早期警告可以通过降低紧急插管的高风险使患者和医疗保健提供者受益。目前的疾病严重程度评分系统通常仅在临床医生测量生命体征或实验室值时更新，不太适合早期检测这种快速的临床恶化。我们建议连续预测分析监测，一种新的床边管理方法，更有用。这一新实践的原则锚在连续床旁监测数据的分析，使用临床医生确定的事件，并连续显示风险的趋势，而不是警告时，超过任意阈值的诊断特定路径的恶化模型。
Coronavirus disease 2019 can lead to sudden and severe respiratory failure that mandates endotracheal intubation, a procedure much more safely performed under elective rather than emergency conditions. Early warning of rising risk of this event could benefit both patients and healthcare providers by reducing the high risk of emergency intubation. Current illness severity scoring systems, which usually update only when clinicians measure vital signs or laboratory values, are poorly suited for early detection of this kind of rapid clinical deterioration. We propose that continuous predictive analytics monitoring, a new approach to bedside management, is more useful. The principles of this new practice anchor in analysis of continuous bedside monitoring data, training models on diagnosis-specific paths of deterioration using clinician-identified events, and continuous display of trends in risks rather than alerts when arbitrary thresholds are exceeded.