Evidence map›Paper›PMID 37876598›Full record

ArticleCritical care and resuscitation : journal of the Australasian Academy of Critical Care Medicine2023

Aggression, violence and threatening behaviour during critical illness.

Màiri H Northcott, Gemma Johnston, Jeffrey J Presneill, Timothy N Fazio, Nathaniel Adamson, Melissa J Ankravs, Lewis Hackenberger, Yasmine Ali Abdelhamid, Christopher M MacIsaac, Adam M Deane

Erratum issuedOpen access · hybridAbstract read
In one paragraph

Article in Critical care and resuscitation : journal of the Australasian Academy of Critical Care Medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.3field-weighted citation impact, top 21% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Biochemical verification of tobacco use in ICU patients using point-of-care urinary cotinine.Critical care and resuscitation : journal of the Australasian Academy of Critical Care Medicine · 2026
    Article
  3. A pilot, parallel-group, blinded, placebo-controlled, randomiseCritical care and resuscitation : journal of the Australasian Academy of Critical Care Medicine · 2026
    Article
  4. Article
  5. Why Are Men More Restrained in the Intensive Care Unit?Annals of the American Thoracic Society · 2024
    Article
  6. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 3 institutions in 1 country.

Màiri H NorthcottIntensive Care Unit, Royal Melbourne Hospital, Australia.
Gemma JohnstonDepartment of Anaesthesia, Royal Melbourne Hospital, Australia.
Jeffrey J PresneillIntensive Care Unit, Royal Melbourne Hospital, Australia.
Timothy N FazioBusiness Intelligence Unit, Royal Melbourne Hospital, Australia.
Nathaniel AdamsonIntensive Care Unit, Gold Coast University Hospital, Australia.
Melissa J AnkravsIntensive Care Unit, Royal Melbourne Hospital, Australia.
Lewis HackenbergerIntensive Care Unit, Royal Melbourne Hospital, Australia.
Yasmine Ali AbdelhamidIntensive Care Unit, Royal Melbourne Hospital, Australia.
Christopher M MacIsaacIntensive Care Unit, Royal Melbourne Hospital, Australia.
Adam M DeaneIntensive Care Unit, Royal Melbourne Hospital, Australia.
The Royal Melbourne Hospital · AUUniversity of Melbourne · AUGold Coast Hospital · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This article aims to quantify prevalence of patient aggression or threatened/actual violence during critical illness. Design: This is a retrospective cohort study. Setting: This study was conducted in single adult trauma intensive care unit (ICU). Participants: 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. Main outcome measure: 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. Results: 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. Conclusions: 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.

Indexed as

Anaesthesia and intensive careDrugs and alcoholIntensive careSocial issuesTrauma

Identifiers

PMID37876598
PMCPMC10581280
OpenAlexW4382753603

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.