Dataset for airway managed by emergency physicians or anaesthesiologists in trauma patients: A retrospective cohort analysis of outcomes

Published: 8 June 2020| Version 3 | DOI: 10.17632/mgb77k4z85.3
Contributors:
Cathy Tang,
Lily P.S. Chan,
Marc Yang

Description

This data is generated for a registry-based unmatched cohort study. We identified trauma patients requiring intubation during resuscitation in the emergency department, then extracted relevant trauma related parameters and outcome data from the trauma registry of the hospital and patients’ health records. The hospital trauma registry captures any patients who met trauma resuscitation team activation criteria, who were triaged as critical or emergency in the ED, who died (excluding death prior to arrival to ED) and were admitted to intensive care units (ICU)/high dependency units (HDU). Injury and outcome data were prospectively collected and entered into the registry.

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Steps to reproduce

Missing data could be managed with multiple imputations, using missing at random assumption. The multiple imputation function of SPSS were used to impute10 sets of complete dataset by the Markov Chain Monte Carlo method. The maximum number of parameters in imputation model was set to 10. Each dataset were then inspected by two authors for consistence. Then the pooled averaged values from the 10 sets will be used for analysis.

Institutions

Chinese University of Hong Kong

Categories

Emergency Medicine, Trauma, Airway Management, Intubation, Rapid Sequence Intubation, Adult Critical Care, Traumatology, Difficult Airways

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