A new classification for emergency critically ill patients and analysis of their adverse events during intrahospital transport: A cluster analysis

Abstract

AbstractBackgroundCritical patients may experience various adverse events during transportation within hospitals. Therefore, quickly evaluating and classifying patients before transporting them from the emergency department and focusing on managing high‐risk patients are critical. At present, no unified classification method exists; all the current approaches are subjective.AimsTo ensure transportation safety, we conducted a cluster analysis of critically ill patients transferred from the emergency department to the intensive care unit.Study DesignSingle‐centre cohort study. This study was conducted at a comprehensive first‐class teaching hospital in Beijing. Convenience sampling and continuous enrolment were employed. We collected data from 1 January 2019, to 31 December 2021. All patients were transferred from the emergency department to the intensive care unit, and cluster analysis was conducted using five variables.ResultsA total of 584 patients were grouped into three clusters. Cluster 1 (high systolic blood pressure group) included 208 (35.6%) patients. Cluster 2 (high heart rate and low blood oxygen group) included 55 (9.4%) patients. Cluster 3 (normal group) included the remaining 321 (55%) patients. The oxygen saturation levels of all the patients were lower after transport, and the proportion of adverse events (61.8%) was the highest in Cluster 2 (p < .05).ConclusionsThis study utilized data on five important vital signs from a cluster analysis to explore possible patient classifications and provide a reference for ensuring transportation safety.Relevance to Clinical PracticeBefore transferring patients, we should classify them and implement targeted care. Changes in blood oxygen levels in all patients should be considered, with a focus on the occurrence of adverse events during transportation among patients with high heart rates and low blood oxygen levels.