A Data-Driven Model to Predict Delirium Based on Dynamic Patterns of Clinical Deterioration in Critically Ill Patients

基于危重患者临床恶化动态模式的数据驱动型谵妄预测模型

阅读:1

Abstract

BACKGROUND: Although many risk factors for delirium have been identified, the contribution of dynamic patterns of clinical deterioration remains underexplored. AIMS: To explore the risk of delirium based on changes in clinical parameters. STUDY DESIGN: A retrospective study based on electronic health records (EHRs) was conducted. The EHRs of 3600 patients, including 827 with delirium and 2773 without delirium, who were admitted to the medical and surgical intensive care unit (ICU) between January 2017 and February 2020, were analysed. Data involving changes in clinical parameters recorded from admission until the day before the onset of delirium were categorised as 'worsen to or persist worsen' or 'recovered to or persist normal.' Logistic regression was conducted to identify the significant risk factors for delirium development. RESULTS: The model's C-statistic, which is equivalent to the area under the ROC curve (AUC) in this context, was 0.88, suggesting excellent ability to discriminate patients who developed delirium. Among 14 variables, 8 were associated with changes in patient conditions: diastolic blood pressure (< 60 mmHg, OR: 2.01 [1.68-2.48]), heart rate (> 100/min, OR: 1.55 [1.23-1.95]), respiratory rate (> 25/min, OR: 1.26 [0.92-1.72]), partial pressure of carbon dioxide (PaCO(2) > 48 mmHg, OR: 1.45 [1.02-2.06]) and bicarbonate (HCO(3) level > 28 mEq/L, OR: 0.77 [0.57-1.04]), albumin (< 3 g/dL, OR: 2.27 [1.60-3.20]), blood urea nitrogen (> 20 mg/dL, OR: 1.45 [1.18-1.78]) and sodium levels (> 146 mmol/L, OR: 2.06 [1.41-3.02]). CONCLUSIONS: Persistent or worsening physiological derangements were significantly associated with delirium onset in critically ill patients. RELEVANCE TO CLINICAL PRACTICE: Recognising and concurrently addressing worsening clinical trends such as haemodynamic instability, acid-base imbalance and electrolyte disturbance can support earlier, tailored interventions to prevent delirium in high-risk ICU patients.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。