EM · Recognition of deterioration (track and trigger)
Recognition of deterioration: track-and-trigger and early-warning scores
Recognising the deteriorating patient before arrest: the antecedents of in-hospital cardiac arrest, the physiology of compensation and decompensation, the three types of track-and-trigger system, and the National Early Warning Score 2 (NEWS2) — its parameters, scoring bands and escalation thresholds — with the evidence base, the afferent/efferent-limb failure modes, and regional systems (NEWS2 UK, Between the Flags ANZ).
Practise this topic
On this page & tools
Your progress
Saved locally on this device.
8 MCQs with explanations
Target exams
Red flags
The recognition of deterioration is the single most improvable step in the chain of survival for the acutely ill patient. In-hospital cardiac arrest is rarely a sudden, unpredictable event: it is usually preceded by measurable physiological deterioration over hours, much of it documented in the observation chart before the arrest. The premise of track-and-trigger systems is that this deterioration is detectable, that it follows recognisable patterns, and that a standardised, graded response to it prevents avoidable arrests and admissions to critical care. For the emergency physician the same principle governs the front door: the patient who arrives abnormal, or who trends abnormal while waiting, is the patient about to deteriorate, and a structured early-warning assessment converts that signal into an action. [1]
The antecedents of arrest
Studies of in-hospital cardiac arrest consistently show antecedent physiological abnormality in the hours before the event, and systematic review confirms that physiological track-and-trigger warning systems reliably identify at-risk patients on the ward.[1] The observations most commonly deranged before arrest are the respiratory rate, heart rate, blood pressure, conscious level and the temperature — exactly the parameters aggregated in the modern early-warning scores. Critically, the abnormality is often present and recorded but not acted upon, which frames deterioration as a failure of the response system rather than of detection alone.
The intervention works. Introducing a Modified Early Warning Score into acute medical admissions was associated with a reduction in cardiopulmonary arrests and in intensive care utilisation, evidence that earlier, structured recognition changes outcome.[2] Aggregate scoring is also more consistent than unstructured judgement: track-and-trigger systems are reproducible across observers and shifts, which is what allows them to drive a standard, protocolised escalation.[3]
You have read the opening of this topic. The complete unit — every section and its primary-source references — is part of the Emergency Medicine fellowship atlas.
References13Show ledgerHide ledger
- [1]Gao H, McDonnell A, Harrison DA, et al. Systematic review and evaluation of physiological track and trigger warning systems for identifying at-risk patients on the ward Intensive Care Med, 2007.PMID 17318499
- [2]Subbe CP, Davies RG, Williams E, et al. Effect of introducing the Modified Early Warning score on clinical outcomes, cardio-pulmonary arrests and intensive care utilisation in acute medical admissions Anaesthesia, 2003.PMID 12859475
- [3]Subbe CP, Gao H, Harrison DA. Reproducibility of physiological track-and-trigger warning systems for identifying at-risk patients on the ward Intensive Care Med, 2007.PMID 17235508
- [4]Smith GB, Redfern O, Maruotti A, et al. The association between nurse staffing levels and a failure to respond to patients with deranged physiology: A retrospective observational study in the UK Resuscitation, 2020.PMID 31945427
- [5]Kostakis I, Smith GB, Prytherch D, et al. The performance of the National Early Warning Score and National Early Warning Score 2 in hospitalised patients infected by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) Resuscitation, 2021.PMID 33176170
- [6]Smith GB, Redfern OC, Pimentel MA, et al. The National Early Warning Score 2 (NEWS2) Clin Med (Lond), 2019.PMID 31092526
- [7]Xythalis D, Kalafati M, Mpouzika M, et al. A Real-Time Prospective Evaluation of the Prognostic Accuracy of SIRS, MEWS, NEWS2 and qSOFA in Predicting ICU Admission and Mortality in an Emergency Department: Implications for Nursing Practice Nurs Crit Care, 2026.PMID 41504404
- [8]Seymour CW, Liu VX, Iwashyna TJ, et al. Assessment of Clinical Criteria for Sepsis: For the Third International Consensus Definitions for Sepsis and Septic Shock (Sepsis-3) JAMA, 2016.PMID 26903335
- [9]Hillman K, Chen J, Cretikos M, et al. Introduction of the medical emergency team (MET) system: a cluster-randomised controlled trial Lancet, 2005.PMID 15964445
- [10]Chan PS, Jain R, Nallmothu BK, et al. Rapid Response Teams: A Systematic Review and Meta-analysis Arch Intern Med, 2010.PMID 20065195
- [11]Buist MD, Moore GE, Bernard SA, et al. Effects of a medical emergency team on reduction of incidence of and mortality from unexpected cardiac arrests in hospital: preliminary study BMJ, 2002.PMID 11850367
- [12]Schein RMH, Hazday N, Pena M, et al. Clinical antecedents to in-hospital cardiopulmonary arrest Chest, 1990.PMID 2245680
- [13]Marshall S, Harrison J, Flanagan B. The teaching of a structured tool improves the clarity and content of interprofessional clinical communication Qual Saf Health Care, 2009.PMID 19342529