ArticleEuropean journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology2024
Validation of MEWS, NEWS, NEWS-2 and qSOFA for different infection foci at the emergency department, the acutelines cohort.
Article in European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.
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Who cites it
12 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Does the use of National Early Warning Scores (NEWS or NEWS2) in healthcare settings improve patient outcomes: a systematic review.Systematic reviews · 2026Pooled it
- Sequential Application of Time-Stratified Demographic, Vital, Clinical-Laboratory, and Microbiology Variables for Accurate and Rapid Identification of Sepsis.Diseases (Basel, Switzerland) · 2026Article
- Predictive accuracy of SIRS, MEWS, and NEWS for intensive care unit admission to patients with stone-induced obstructive pyelonephritis: a retrospective cohort study.Urolithiasis · 2026Article
- The Brazilian risk assessment severity index score: a novel tool for predicting in-hospital mortality in emergency departments.World journal of emergency medicine · 2026Article
- Predictive Value of Combined MEWS and NIPDS Scores for 24-Hour Clinical Deterioration in Emergency Observation Patients: A Prospective Cohort Study.Journal of multidisciplinary healthcare · 2026Article
- Construction and validation of a sepsis prediction model using inflammatory and hemodynamic markers in the emergency department.Frontiers in medicine · 2026Article
- Thirty years of mHLA-DR research in septic shock: lessons and caveats for clinical translation.Intensive care medicine · 2026Article
- Prediction of infection in the emergency department-a machine learning model.Frontiers in artificial intelligence · 2026Article
- 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
- Evaluating Sepsis Mortality Predictions from the Emergency Department: A Retrospective Cohort Study Comparing qSOFA, the National Early Warning Score, and the International Early Warning Score.Journal of clinical medicine · 2025Article
- Application of Modified Early Warning Score System (MEWS) in the Assessment of Disease Condition and Prognosis of Patients After Neurosurgical Procedure or Intervention.Risk management and healthcare policy · 2025Article
- Machine learning enables early risk stratification of hymenopteran stings: evidence from a tropical multicenter cohort.Frontiers in public health · 2025Article
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7 authors.
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No grant is acknowledged in the PubMed record.
Abstract
purposeSepsis is a leading cause of morbidity and mortality globally. The lack of specific prognostic markers necessitates tools for early risk identification in patients with suspected infections in emergency department (ED). This study evaluates the prognostic accuracy of various Early Warning Scores (EWS)-MEWS, NEWS, NEWS-2, and qSOFA-for in-hospital mortality, 30-day mortality, and ICU admission, considering the site of infection.
methodsA retrospective analysis was conducted using data from the Acutelines cohort, which included data collected from patients admitted to the University Medical Centre Groningen ED between September 2020 and July 2023. Patients were included if they had an ICD-10 code for infection. EWS were calculated using clinical data within 8 h post-admission. Predictive performance was assessed using AUC-ROC, calibration by the Hosmer-Lemeshow test and calibration curves, and operative characteristics like sensitivity and specificity.
resultsA total of 1661 patients were analyzed, with infections distributed as follows: lower respiratory tract (32.9%), urinary tract (30.7%), abdominal (12.5%), skin and soft tissue (9.5%), and others (8.2%). The overall in-hospital mortality was 6.7%, and ICU admission was 7.1%. The highest AUC-ROC for in-hospital mortality prediction was observed with NEWS and NEWS-2 in abdominal infections (0.86), while the lowest was for qSOFA in skin and soft tissue infections (0.57). Predictive performance varied by infection site.
conclusionsThe study highlights the variability in EWS performance based on infection site, emphasizing the need to consider the source of infection in EWS development for sepsis prognosis. Tailored or hybrid models may enhance predictive accuracy, balancing simplicity and specificity.
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