Northcott Màiri H, Johnston Gemma, Presneill Jeffrey J, Fazio Timothy N, Adamson Nathaniel, Ankravs Melissa J, Hackenberger Lewis, Ali Abdelhamid Yasmine, MacIsaac Christopher M, Deane Adam M
Intensive Care Unit, Royal Melbourne Hospital, Australia.
Department of Anaesthesia, Royal Melbourne Hospital, Australia.
Crit Care Resusc. 2023 Jun 30;25(2):65-70. doi: 10.1016/j.ccrj.2023.05.002. eCollection 2023 Jun.
This article aims to quantify prevalence of patient aggression or threatened/actual violence during critical illness.
This is a retrospective cohort study.
This study was conducted in single adult trauma intensive care unit (ICU).
Patients aged 18 years or over, admitted between January 2015 and December 2020, who triggered a "Code Grey" response due to aggression or threatened/actual violence.
The primary outcome was prevalence of Code Grey events. Secondary outcomes included unadjusted and adjusted (logistic mixed model) effects of patient demographics, diagnoses and severity of illness on Code Grey events.
There were 16175 ICU admissions relating to 14085 patients and 807 Code Grey events involving 379 (2.7%) patients. The observed count of events increased progressively from 2015 (n = 77) to 2020 (n = 204). For patients with a Code Grey, the median count of events was 3 (range 1-33). Independent predictors of at least one ICU Code Grey event included male sex (OR 2.5; 95% CI 1.8 to 3.4), young age (most elevated odds ratio in patients 20-30 years), admission from the emergency department (OR 2.8, 95% CI 2.1 to 3.6) and a trauma diagnosis (OR 1.4, 95% CI 1.1 to 1.9). Code Grey patients had longer admissions with a reduced risk of death.
The prevalence of Code Grey events in ICU appears to be increasing. Patients may have repeated events. Younger male patients admitted to ICU via the emergency department with a trauma or medical diagnosis are at greatest risk of a Code Grey event.
本文旨在量化危重病期间患者攻击行为或威胁/实际暴力行为的发生率。
这是一项回顾性队列研究。
本研究在一家成人创伤重症监护病房(ICU)进行。
年龄在18岁及以上,于2015年1月至2020年12月期间因攻击行为或威胁/实际暴力行为触发“灰色代码”响应而入院的患者。
主要结局是灰色代码事件的发生率。次要结局包括患者人口统计学特征、诊断和疾病严重程度对灰色代码事件的未调整和调整(逻辑混合模型)效应。
共有16175例ICU入院病例,涉及14085名患者,807起灰色代码事件,涉及379名(2.7%)患者。观察到的事件数量从2015年(n = 77)到2020年(n = 204)逐渐增加。对于发生灰色代码事件的患者,事件的中位数为3(范围1 - 33)。至少发生一次ICU灰色代码事件的独立预测因素包括男性(比值比2.5;95%置信区间1.8至3.4)、年轻(20 - 30岁患者的比值比最高)、从急诊科入院(比值比2.8,95%置信区间2.1至3.6)和创伤诊断(比值比1.4,95%置信区间1.1至1.9)。发生灰色代码事件患者的住院时间更长,死亡风险降低。
ICU中灰色代码事件的发生率似乎在上升。患者可能会多次发生此类事件。通过急诊科入院且患有创伤或内科疾病诊断的年轻男性患者发生灰色代码事件的风险最高。