Evidence map›Paper›PMID 41854615›Full record

ArticleJAMA network open2026

Early Warning Scores in Emergency Department Patients Aged 80 Years or Older.

Marcello Covino, Piergiacomo Maria Cacciamani Fanelli, Nicola Bonadia, Valeria Maccauro, Davide Antonio Della Polla, Giuseppe De Matteis, Andrea Piccioni, Antonio Gasbarrini, Claudio Sandroni, Francesco Franceschi

Abstract read
In one paragraph

Article in JAMA network open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Assessing Risk of Early ICU Admission or Death at Emergency Department Triage: Clinical Judgment Versus Early Warning Scores.Academic emergency medicine : official journal of the Society for Academic Emergency Medicine · 2026
    Observational
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Marcello CovinoEmergency Department, Fondazione Policlinico Universitario A. Gemelli, IRCCS, Rome, Italy.
Piergiacomo Maria Cacciamani FanelliEmergency Department, Fondazione Policlinico Universitario A. Gemelli, IRCCS, Rome, Italy.
Nicola BonadiaEmergency Department, Fondazione Policlinico Universitario A. Gemelli, IRCCS, Rome, Italy.
Valeria MaccauroEmergency Department, Fondazione Policlinico Universitario A. Gemelli, IRCCS, Rome, Italy.
Davide Antonio Della PollaEmergency Department, Fondazione Policlinico Universitario A. Gemelli, IRCCS, Rome, Italy.
Giuseppe De MatteisDepartment of Geriatrics, Fondazione Policlinico Universitario A. Gemelli, IRCCS, Rome, Italy.
Andrea PiccioniEmergency Department, Fondazione Policlinico Universitario A. Gemelli, IRCCS, Rome, Italy.
Antonio GasbarriniUniversità Cattolica del Sacro Cuore, Rome, Italy.
Claudio SandroniUniversità Cattolica del Sacro Cuore, Rome, Italy.
Francesco FranceschiEmergency Department, Fondazione Policlinico Universitario A. Gemelli, IRCCS, Rome, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Early warning scores (EWSs) are widely used tools to support triage and risk stratification in the emergency department (ED). However, data on their performance in identifying clinical deterioration among acutely ill adults aged 80 years or older are scarce. Objective: To evaluate and compare the performance of 5 EWSs for predicting short-term clinical deterioration in ED patients aged 80 years or older. Design, Setting, and Participants: This retrospective prognostic study included all consecutive nontrauma ED visits by patients aged 80 years or older between January 2015 and December 2024 at a large urban teaching hospital in Rome, Italy. Exposures: Physiologic parameters recorded at ED admission were used to calculate 5 EWSs: National Early Warning Score (NEWS), National Early Warning Score 2 (NEWS2), Modified Early Warning Score (MEWS), Rapid Emergency Medicine Score (REMS), and International Early Warning Score (IEWS). Main Outcomes and Measures: The primary outcome was clinical deterioration, defined as death or intensive care unit (ICU) admission within 24 hours of ED arrival. Discrimination was assessed by area under the receiver operating characteristic curve (AUROC), calibration by the Brier score, and age-related performance by spline regression. Comparative contributions of variables were analyzed using Shapley additive explanations (SHAP) values. Results: Among 50 645 patients (median age, 85 years [IQR, 82-88 years]; 54.6% females), 1233 (2.4%) experienced clinical deterioration. All EWSs demonstrated fair discrimination (AUROC range, 0.747 [IQR, 0.731-0.763] for MEWS to 0.782 [IQR, 0.767-0.798] for NEWS). Whereas NEWS achieved the highest AUROC, REMS had the best calibration (Brier score, 0.0220; 95% CI, 0.0208-0.0232). Discriminatory performance declined with increasing age beyond 90 years except for REMS, whose predictive accuracy improved among patients older than 94 years. For patients aged 87 years or older vs 80 to 86 years, oxygen supplementation (SHAP difference, 0.59), systolic blood pressure (SHAP difference, 0.32), and Glasgow Coma Scale score (SHAP difference, 0.40) were the strongest predictors of clinical deterioration. Conclusions and Relevance: In this prognostic study of EWSs conducted among ED patients aged 80 years or older, all scores provided acceptable short-term prognostic accuracy. REMS demonstrated the most consistent performance in patients aged 94 years or older, supporting its use for targeted risk stratification in this population.

Indexed as

Clinical DeteriorationEarly Warning ScoreEmergency Service, HospitalTriageAged, 80 and overEmergency Room VisitsFemaleHumansIntensive Care UnitsMalePrognosisRetrospective StudiesRisk AssessmentROC CurveRome

Identifiers

PMID41854615
PMCPMC13003372

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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.