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Early Warning Score

Clinical Research · NLM MeSH · updated 2026-10-29 · version 1

Citations verified against PubMedNot yet clinician-reviewed10 referencesApproximately 6 min read

Tool for bedside evaluation based on five physiological parameters: systolic pressure, pulse, respiratory rate, body temperature and AVPU (alert, voice, pain, unresponsive) score.

Table of Contents

1. Definition2. Research landscape3. Reading the evidence4. Open-access studies5. Key reviews6. References7. About this article

Definition and research guide

This page combines a MeSH definition, publication statistics and selected research abstracts. It is a starting point for reading the literature, not a medical textbook or a systematic evidence review.

Content available: 4 complete abstracts (1,277 words), 10 references. Full article text is not stored or reproduced here; follow the PMID, DOI or PMC links to read the original sources and their access terms.

Definition

Tool for bedside evaluation based on five physiological parameters: systolic pressure, pulse, respiratory rate, body temperature and AVPU (alert, voice, pain, unresponsive) score.

Definition: NLM Medical Subject Headings (MeSH) scope note (Public domain (U.S. National Library of Medicine); attribution requested). View the MeSH record.

Also known as: Early Warning Scores; Score, Early Warning; Scores, Early Warning; Warning Scores, Early.

Where it fits in the MeSH classification

Broader topics
Severity of Illness Index

Related concepts

  • Systolic Pressure
  • Pulse
  • Respiratory Rate
  • Body Temperature

Research landscape

PubMed indexes 718 records tagged with the MeSH heading “Early Warning Score” (counts retrieved 2026-10-29). 641 of them (89.3%) were published from 2020 onward, and the busiest period so far is 2020 onward with 641 records.

Reviews account for 67 records (9.3%) and meta-analyses for 11. Randomized controlled trials number 11 (1.5%) as a share of all records on the topic. Randomized trials make up only a small share of this literature, so much of what is known comes from laboratory, observational or descriptive work.

PubMed records by publication periodthrough 1999: 0 records; 2000-2009: 0 records; 2010-2019: 99 records; 2020 onward: 641 records0through 199902000-2009992010-20196412020 onward
Records in PubMed indexed with this heading, by publication period. Real counts from NCBI E-utilities; the final period covers only part of the current year. Volume reflects how much has been published, not how strong the evidence is.
Show the data
PeriodRecords
through 19990
2000-20090
2010-201999
2020 onward641
Share of records by publication typeReviews: 9.3 percent; Meta-analyses: 1.5 percent; Randomized controlled trials: 1.5 percentReviews9.3% (67)Meta-analyses1.5% (11)Randomized controlled trials1.5% (11)
Share of all PubMed records on this heading that carry each publication type. Types overlap with other records, so the shares do not sum to 100%.
Publication-type chart data
Publication types among 718 PubMed records
TypeRecordsShare
Reviews679.3%
Meta-analyses111.5%
Randomized controlled trials111.5%

Method: PubMed query "Early Warning Score"[MeSH Terms] with publication-type and date filters, retrieved 2026-10-29.

Reading the evidence in clinical research

Research methods determine how much a result can be trusted. Randomized trials guard against confounding, systematic reviews and meta-analyses combine many studies, and observational designs are valuable but can show only association. Reporting standards, trial registration and pre-specified outcomes reduce bias. When reading about a method, ask what problem it is designed to solve and which problems it does not solve.

Evidence from open-access studies

These open-access studies come from PubMed’s best-match results for this heading (papers whose main topic it is), ranked here by citation count, with one recent addition. Each abstract is reproduced in full under its recorded open licence so that you can read the authors’ own words. They illustrate the literature; they are not a systematic summary of it. Citation counts measure attention, not reliability or clinical benefit.

Study comparison — selected abstracts, not a systematic review
Study / authorsYearSource label / designEurope PMC citationsLicence / source
National Early Warning Score 2 (NEWS2) on admission predicts severe disease and in-hospital mortality from Covid-19 - a prospective cohort study
Myrstad M, Ihle-Hansen H, Tveita AA, Andersen EL, Nygård S, Tveit A, et al.
2020Research article
Design not recorded in structured metadata
151cc by
PMID 32660623 · DOI · PMC7356106
Comparison of Early Warning Scoring Systems for Hospitalized Patients With and Without Infection at Risk for In-Hospital Mortality and Transfer to the Intensive Care Unit
Liu VX, Lu Y, Carey KA, Gilbert ER, Afshar M, Akel M, et al.
2020Research article
Design not recorded in structured metadata
117cc by
PMID 32427324 · DOI · PMC7237982
A comparison of the ability of the National Early Warning Score and the National Early Warning Score 2 to identify patients at risk of in-hospital mortality: A multi-centre database study
Pimentel MAF, Redfern OC, Gerry S, Collins GS, Malycha J, Prytherch D, et al.
2019Research article
Design not recorded in structured metadata
112cc by
PMID 30287355 · DOI · PMC6995996
Does the use of National Early Warning Scores (NEWS or NEWS2) in healthcare settings improve patient outcomes: a systematic review
Scott LJ, Jackson J, Dawson S, Knight T, Savović J
2026Systematic review
Design not recorded in structured metadata
6cc by
PMID 41618411 · DOI · PMC12947470

National Early Warning Score 2 (NEWS2) on admission predicts severe disease and in-hospital mortality from Covid-19 - a prospective cohort study [1]

Research article Myrstad M, Ihle-Hansen H, Tveita AA, Andersen EL, Nygård S, Tveit A, et al. · · 2020 · cited 151 times (Europe PMC)

Abstract reading summary — source excerpts
Opening excerpt
BackgroundThere is a need for validated clinical risk scores to identify patients at risk of severe disease and to guide decision-making during the covid-19 pandemic.
Closing excerpt
810, p ConclusionNEWS2 score at hospital admission predicted severe disease and in-hospital mortality, and was superior to other widely used clinical risk scores in patients with covid-19.
Interpretation limits
Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (318 words)

BackgroundThere is a need for validated clinical risk scores to identify patients at risk of severe disease and to guide decision-making during the covid-19 pandemic. The National Early Warning Score 2 (NEWS2) is widely used in emergency medicine, but so far, no studies have evaluated its use in patients with covid-19. We aimed to study the performance of NEWS2 and compare commonly used clinical risk stratification tools at admission to predict risk of severe disease and in-hospital mortality in patients with covid-19.MethodsThis was a prospective cohort study in a public non-university general hospital in the Oslo area, Norway, including a cohort of all 66 patients hospitalised with confirmed SARS-CoV-2 infection from the start of the pandemic; 13 who died during hospital stay and 53 who were discharged alive. Data were collected consecutively from March 9th to April 27th 2020. The main outcome was the ability of the NEWS2 score and other clinical risk scores at emergency department admission to predict severe disease and in-hospital mortality in covid-19 patients. We calculated sensitivity and specificity with 95% confidence intervals (CIs) for NEWS2 scores ≥5 and ≥ 6, quick Sequential Organ Failure Assessment (qSOFA) score ≥ 2, ≥2 Systemic Inflammatory Response Syndrome (SIRS) criteria, and CRB-65 score ≥ 2. Areas under the curve (AUCs) for the clinical risk scores were compared using DeLong's test.ResultsIn total, 66 patients (mean age 67.9 years) were included. Of these, 23% developed severe disease. In-hospital mortality was 20%. Tachypnoea, hypoxemia and confusion at admission were more common in patients developing severe disease. A NEWS2 score ≥ 6 at admission predicted severe disease with 80.0% sensitivity and 84.3% specificity (Area Under the Curve (AUC) 0.822, 95% CI 0.690-0.953). NEWS2 was superior to qSOFA score ≥ 2 (AUC 0.624, 95% CI 0.446-0.810, p ConclusionNEWS2 score at hospital admission predicted severe disease and in-hospital mortality, and was superior to other widely used clinical risk scores in patients with covid-19.

Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 32660623 · DOI · PMC7356106

Comparison of Early Warning Scoring Systems for Hospitalized Patients With and Without Infection at Risk for In-Hospital Mortality and Transfer to the Intensive Care Unit [2]

Research article Liu VX, Lu Y, Carey KA, Gilbert ER, Afshar M, Akel M, et al. · · 2020 · cited 117 times (Europe PMC)

Abstract reading summary — source excerpts
Opening excerpt
ImportanceRisk scores used in early warning systems exist for general inpatients and patients with suspected infection outside the intensive care unit (ICU), but their relative performance is incompletely characterized.
Closing excerpt
Our results suggest that, among commonly used points-based scoring systems, determining the NEWS for inpatient risk stratification could identify patients with and without infection at high risk of mortality.
Interpretation limits
Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (402 words)

ImportanceRisk scores used in early warning systems exist for general inpatients and patients with suspected infection outside the intensive care unit (ICU), but their relative performance is incompletely characterized.ObjectiveTo compare the performance of tools used to determine points-based risk scores among all hospitalized patients, including those with and without suspected infection, for identifying those at risk for death and/or ICU transfer.Design, setting, and participantsIn a cohort design, a retrospective analysis of prospectively collected data was conducted in 21 California and 7 Illinois hospitals between 2006 and 2018 among adult inpatients outside the ICU using points-based scores from 5 commonly used tools: National Early Warning Score (NEWS), Modified Early Warning Score (MEWS), Between the Flags (BTF), Quick Sequential Sepsis-Related Organ Failure Assessment (qSOFA), and Systemic Inflammatory Response Syndrome (SIRS). Data analysis was conducted from February 2019 to January 2020.Main outcomes and measuresRisk model discrimination was assessed in each state for predicting in-hospital mortality and the combined outcome of ICU transfer or mortality with area under the receiver operating characteristic curves (AUCs). Stratified analyses were also conducted based on suspected infection.ResultsThe study included 773 477 hospitalized patients in California (mean [SD] age, 65.1 [17.6] years; 416 605 women [53.9%]) and 713 786 hospitalized patients in Illinois (mean [SD] age, 61.3 [19.9] years; 384 830 women [53.9%]). The NEWS exhibited the highest discrimination for mortality (AUC, 0.87; 95% CI, 0.87-0.87 in California vs AUC, 0.86; 95% CI, 0.85-0.86 in Illinois), followed by the MEWS (AUC, 0.83; 95% CI, 0.83-0.84 in California vs AUC, 0.84; 95% CI, 0.84-0.85 in Illinois), qSOFA (AUC, 0.78; 95% CI, 0.78-0.79 in California vs AUC, 0.78; 95% CI, 0.77-0.78 in Illinois), SIRS (AUC, 0.76; 95% CI, 0.76-0.76 in California vs AUC, 0.76; 95% CI, 0.75-0.76 in Illinois), and BTF (AUC, 0.73; 95% CI, 0.73-0.73 in California vs AUC, 0.74; 95% CI, 0.73-0.74 in Illinois). At specific decision thresholds, the NEWS outperformed the SIRS and qSOFA at all 28 hospitals either by reducing the percentage of at-risk patients who need to be screened by 5% to 20% or increasing the percentage of adverse outcomes identified by 3% to 25%.Conclusions and relevanceIn all hospitalized patients evaluated in this study, including those meeting criteria for suspected infection, the NEWS appeared to display the highest discrimination. Our results suggest that, among commonly used points-based scoring systems, determining the NEWS for inpatient risk stratification could identify patients with and without infection at high risk of mortality.

Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 32427324 · DOI · PMC7237982

A comparison of the ability of the National Early Warning Score and the National Early Warning Score 2 to identify patients at risk of in-hospital mortality: A multi-centre database study [3]

Research article Pimentel MAF, Redfern OC, Gerry S, Collins GS, Malycha J, Prytherch D, et al. · · 2019 · cited 112 times (Europe PMC)

Abstract reading summary — source excerpts
Opening excerpt
AimsTo compare the ability of the National Early Warning Score (NEWS) and the National Early Warning Score 2 (NEWS2) to identify patients at risk of in-hospital mortality and other adverse outcomes.
Closing excerpt
Further evaluation of the relationship between SpO2 values, oxygen therapy and risk should be investigated further before wide-scale adoption of NEWS2.
Interpretation limits
Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (235 words)

AimsTo compare the ability of the National Early Warning Score (NEWS) and the National Early Warning Score 2 (NEWS2) to identify patients at risk of in-hospital mortality and other adverse outcomes.MethodsWe undertook a multi-centre retrospective observational study at five acute hospitals from two UK NHS Trusts. Data were obtained from completed adult admissions who were not fit enough to be discharged alive on the day of admission. Diagnostic coding and oxygen prescriptions were used to identify patients with type II respiratory failure (T2RF). The primary outcome was in-hospital mortality within 24 h of a vital signs observation. Secondary outcomes included unanticipated intensive care unit admission or cardiac arrest within 24 h of a vital signs observation. Discrimination was assessed using the c-statistic.ResultsAmong 251,266 adult admissions, 48,898 were identified to be at risk of T2RF by diagnostic coding. In this group, NEWS2 showed statistically significant lower discrimination (c-statistic, 95% CI) for identifying in-hospital mortality within 24 h (0.860, 0.857-0.864) than NEWS (0.881, 0.878-0.884). For 1394 admissions with documented T2RF, discrimination was similar for both systems: NEWS2 (0.841, 0.827-0.855), NEWS (0.862, 0.848-0.875). For all secondary endpoints, NEWS2 showed no improvements in discrimination.ConclusionsNEWS2 modifications to NEWS do not improve discrimination of adverse outcomes in patients with documented T2RF and decrease discrimination in patients at risk of T2RF. Further evaluation of the relationship between SpO2 values, oxygen therapy and risk should be investigated further before wide-scale adoption of NEWS2.

Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 30287355 · DOI · PMC6995996

Does the use of National Early Warning Scores (NEWS or NEWS2) in healthcare settings improve patient outcomes: a systematic review [4]

Systematic review Scott LJ, Jackson J, Dawson S, Knight T, Savović J · · 2026 · cited 6 times (Europe PMC)

Abstract reading summary — source excerpts
Opening excerpt
BackgroundThe National Early Warning Score (NEWS), and updated NEWS2, is used to detect all-cause deterioration, based on clinical observations.
Closing excerpt
Systematic review registrationPROSPERO CRD42023442061.
Interpretation limits
Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (322 words)

BackgroundThe National Early Warning Score (NEWS), and updated NEWS2, is used to detect all-cause deterioration, based on clinical observations. Many studies have validated the prognostic accuracy of NEWS/NEWS2, but few have investigated whether its use improves patient outcomes. This systematic review aims to bring together all evidence evaluating the effectiveness of using NEWS/NEWS2, compared to not using NEWS/NEWS2, on patient outcomes.MethodsWe searched Embase, MEDLINE, CINAHL, The Cochrane Library, and international trial registries from January 2012 (when NEWS was developed) to October 2024, for all records which mentioned NEWS/NEWS2 in their title or abstract. All comparative studies with interventions which included NEWS/NEWS2, and comparator areas, regions, organisations, time points, or settings which did not, were included. The target population was all non-maternity patients aged 16+ years treated in healthcare settings. Where possible, studies were synthesised by outcome using random-effects meta-analyses. Risk of bias was assessed using ROB2 and ROBINS-I v2; certainty of evidence was assessed using GRADE. PROSPERO registration CRD42023442061.ResultsWe screened 2814 records and included 20 studies (in 32 records), with 18 presenting data for our outcomes. Sample sizes ranged from 66 to 13,059,865 participants. There was low certainty evidence that using NEWS/NEWS2 reduced in-hospital mortality (summary odds ratio [OR] from eleven studies 0.79, 95% confidence interval [CI] 0.66 to 0.94). There was also a little low certainty evidence of a reduction in hospital length of stay (two of four studies) and cardiac arrests (three of seven studies), and a potential reduction in intensive care admissions (summary OR from seven studies 0.63, 95% CI 0.36 to 1.09). Most included studies had a serious/high (12/18; 67%) or moderate (5/18; 28%) risk of bias.ConclusionsThis review highlights a lack of large scale, high-quality studies exploring the effectiveness of NEWS/NEWS2. No included studies reported negative clinical impacts of using NEWS/NEWS2 on any outcomes presented in this review. However, there is still further work required to ascertain whether the use of NEWS/NEWS2 improves patient outcomes.Systematic review registrationPROSPERO CRD42023442061.

Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 41618411 · DOI · PMC12947470

Key reviews and meta-analyses

The most cited review-type papers among PubMed’s best-match results for this heading, listed with bibliographic details only. Follow the links for the full text and access terms.

  • Research article The National Early Warning Score: from concept to NHS implementation [5]
    Williams B · Clin Med (Lond) · 2022 · cited 129 times (Europe PMC)
  • Research article SIRS, SOFA, qSOFA, and NEWS in the diagnosis of sepsis and prediction of adverse outcomes: a systematic review and meta-analysis [6]
    Qiu X, Lei YP, Zhou RX · Expert Rev Anti Infect Ther · 2023 · cited 99 times (Europe PMC)
  • Research article Validity and effectiveness of paediatric early warning systems and track and trigger tools for identifying and reducing clinical deterioration in hospitalised children: a systematic review [7]
    Trubey R, Huang C, Lugg-Widger FV, Hood K, Allen D, Edwards D, et al. · BMJ Open · 2019 · cited 71 times (Europe PMC)
  • Research article Development and validation of early warning score system: A systematic literature review [8]
    Fu LH, Schwartz J, Moy A, Knaplund C, Kang MJ, Schnock KO, et al. · J Biomed Inform · 2020 · cited 68 times (Europe PMC)
  • Research article Early warning scores in paediatrics: an overview [9]
    Chapman SM, Maconochie IK · Arch Dis Child · 2019 · cited 51 times (Europe PMC)
  • Research article A systematic review of the discrimination and absolute mortality predicted by the National Early Warning Scores according to different cut-off values and prediction windows [10]
    Holland M, Kellett J · Eur J Intern Med · 2022 · cited 46 times (Europe PMC)

References

  1. Myrstad M, Ihle-Hansen H, Tveita AA, Andersen EL, Nygård S, Tveit A, et al.. National Early Warning Score 2 (NEWS2) on admission predicts severe disease and in-hospital mortality from Covid-19 - a prospective cohort study. . 2020. PMID 32660623 · DOI · PMC7356106
  2. Liu VX, Lu Y, Carey KA, Gilbert ER, Afshar M, Akel M, et al.. Comparison of Early Warning Scoring Systems for Hospitalized Patients With and Without Infection at Risk for In-Hospital Mortality and Transfer to the Intensive Care Unit. . 2020. PMID 32427324 · DOI · PMC7237982
  3. Pimentel MAF, Redfern OC, Gerry S, Collins GS, Malycha J, Prytherch D, et al.. A comparison of the ability of the National Early Warning Score and the National Early Warning Score 2 to identify patients at risk of in-hospital mortality: A multi-centre database study. . 2019. PMID 30287355 · DOI · PMC6995996
  4. Scott LJ, Jackson J, Dawson S, Knight T, Savović J. Does the use of National Early Warning Scores (NEWS or NEWS2) in healthcare settings improve patient outcomes: a systematic review. . 2026. PMID 41618411 · DOI · PMC12947470
  5. Williams B. The National Early Warning Score: from concept to NHS implementation. Clin Med (Lond). 2022. PMID 36427887 · DOI · PMC9761416
  6. Qiu X, Lei YP, Zhou RX. SIRS, SOFA, qSOFA, and NEWS in the diagnosis of sepsis and prediction of adverse outcomes: a systematic review and meta-analysis. Expert Rev Anti Infect Ther. 2023. PMID 37450490 · DOI
  7. Trubey R, Huang C, Lugg-Widger FV, Hood K, Allen D, Edwards D, et al.. Validity and effectiveness of paediatric early warning systems and track and trigger tools for identifying and reducing clinical deterioration in hospitalised children: a systematic review. BMJ Open. 2019. PMID 31061010 · DOI · PMC6502038
  8. Fu LH, Schwartz J, Moy A, Knaplund C, Kang MJ, Schnock KO, et al.. Development and validation of early warning score system: A systematic literature review. J Biomed Inform. 2020. PMID 32278089 · DOI · PMC7295317
  9. Chapman SM, Maconochie IK. Early warning scores in paediatrics: an overview. Arch Dis Child. 2019. PMID 30413488 · DOI
  10. Holland M, Kellett J. A systematic review of the discrimination and absolute mortality predicted by the National Early Warning Scores according to different cut-off values and prediction windows. Eur J Intern Med. 2022. PMID 34980504 · DOI

About this article

Sources
NLM Medical Subject Headings (definition, synonyms); NCBI PubMed (counts, identifiers); Europe PMC (open-access abstracts and citation counts).
Verification
Every reference was resolved against PubMed on 2026-10-31; title, year and DOI matched.
Review state
automated source verified; no human expert review has been recorded yet.
Version
1, last updated 2026-10-29.

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At a glance

718
PubMed records on this heading
89%
published since 2020
67
review articles
11
randomized trials
10
verified references below

Counts come from PubMed on 2026-10-29; they show how much has been written, not how strong the evidence is.

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