ArticleScandinavian journal of trauma, resuscitation and emergency medicine2020
National Early Warning Score 2 (NEWS2) on admission predicts severe disease and in-hospital mortality from Covid-19 - a prospective cohort study.
Article in Scandinavian journal of trauma, resuscitation and emergency medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 129 papers, 5 of them syntheses that pooled it.
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Who cites it
129 citing papers in PubMed, 5 syntheses or guidelines pooled it, 247 citations in OpenAlex.
- Construction of a sensitive indicator evaluation system for sepsis care quality: a three-stage mixed-method Delphi study.Frontiers in medicine · 2026Pooled it
- Prognostic models in COVID-19 infection that predict severity: a systematic review.European journal of epidemiology · 2023Pooled it
- Recent Advance Analysis of Recovery in Hospitalized People with COVID-19: A Systematic Review.International journal of environmental research and public health · 2022Pooled it
- Diabetes is most important cause for mortality in COVID-19 hospitalized patients: Systematic review and meta-analysis.Reviews in endocrine & metabolic disorders · 2021Pooled it
- The Prognostic Accuracy of National Early Warning Score 2 on Predicting Clinical Deterioration for Patients With COVID-19: A Systematic Review and Meta-Analysis.Frontiers in medicine · 2021Pooled it
- Effect of ArtemiC in patients with COVID-19: A Phase II prospective study.Journal of cellular and molecular medicine · 2022Trial
- Article
- Trends in urgency levels and risk of acute critical condition among prehospital patients. A seven-year observational historic register-based cohort study.Scandinavian journal of trauma, resuscitation and emergency medicine · 2026Observational
- Mortality prediction by quick Sequential Organ Failure Assessment, National Early Warning Score 2, Shock Index, and Modified Shock Index in suspected sepsis: A retrospective study.The Journal of international medical research · 2026Observational
- Predicting 7-day mortality in COVID-19 pneumonia: performance of NEWS2, qSOFA, and CRB-65 and development of the CCP-7 prediction scores.IJID regions · 2025Article
- Dynamic Modified Early Warning Score for predicting postoperative mortality in acute type A aortic dissection: a retrospective study.Journal of thoracic disease · 2025Article
- Forecasting COVID-19 inpatient mortality using fundamental parameters in resource-constrained settings: a countrywide multi-center cohort study.BMC infectious diseases · 2025Article
- Predictive performance and temporal dynamics of national early warning score 2 (NEWS2) in detecting clinical deterioration in general ward: A large-scale validation study in Singapore.Resuscitation plus · 2025Article
- Improving the Predictive Accuracy of the National Early Warning Score 2: Protocol for Algorithm Refinement.JMIR research protocols · 2025Article
- Evaluation of physiological severity scores for predicting COVID-19 disease progression: a retrospective study.BMC infectious diseases · 2025Article
- Prognostic Value of the Brixia Radiological Score in COVID-19 Patients: A Retrospective Study from Romania.Tropical medicine and infectious disease · 2025Article
- Analysis of Variants' Dynamic Using the CLIMB Database in COVID-19 Patients Admitted to Hospitals of Barts Health NHS Trust.Journal of medical virology · 2025Article
- Modifications to the National Early Warning Score 2: a Scoping Review.BMC medicine · 2025Article
- Predicting COVID-19 Patient Disposition Using the National Early Warning Score 2: A Retrospective Cohort Study.Cureus · 2025Article
- The association between vital signs at hospital admission and adverse outcomes in patients with COVID-19: a retrospective cohort study.Frontiers in medicine · 2025Article
69 more citing papers are in PubMed but not listed here.
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Authors and funding
7 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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 < 0.05) and other clinical risk scores for this purpose.
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.
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