Evidence map›Paper›PMID 42719570›Full record

ArticleClinical epidemiology2026

Diagnostic Accuracy of Simplified Prehospital Sepsis Screening Tools for Identifying Sepsis and Predicting 30-Day Mortality: A Retrospective Diagnostic Accuracy Study.

Thongpitak Huabbangyang, Gawin Tiyawat, Nitiporn Puysopa, Thapanee Wattanasaringkarn, Jiratchaya Khunjan, Warinthorn Inthanon, Nattanicha Duangkaew, Chanathip Wanphen, Adisak Nithimathachoke

Abstract read
In one paragraph

Article in Clinical epidemiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

9 authors.

Thongpitak HuabbangyangDepartment of Disaster and Emergency Medical Operation, Faculty of Science and Health Technology, Navamindradhiraj University, Bangkok, Thailand.ORCID 0000-0001-7137-6652
Gawin TiyawatDepartment of Disaster and Emergency Medical Operation, Faculty of Science and Health Technology, Navamindradhiraj University, Bangkok, Thailand.ORCID 0000-0001-5395-2265
Nitiporn PuysopaDepartment of Disaster and Emergency Medical Operation, Faculty of Science and Health Technology, Navamindradhiraj University, Bangkok, Thailand.ORCID 0009-0009-4850-3153
Thapanee WattanasaringkarnDepartment of Disaster and Emergency Medical Operation, Faculty of Science and Health Technology, Navamindradhiraj University, Bangkok, Thailand.ORCID 0009-0001-3271-4556
Jiratchaya KhunjanDepartment of Disaster and Emergency Medical Operation, Faculty of Science and Health Technology, Navamindradhiraj University, Bangkok, Thailand.ORCID 0009-0003-7933-7844
Warinthorn InthanonDepartment of Disaster and Emergency Medical Operation, Faculty of Science and Health Technology, Navamindradhiraj University, Bangkok, Thailand.ORCID 0009-0009-4080-9457
Nattanicha DuangkaewDepartment of Disaster and Emergency Medical Operation, Faculty of Science and Health Technology, Navamindradhiraj University, Bangkok, Thailand.ORCID 0009-0002-8357-8598
Chanathip WanphenDivision of Emergency Medical Service and Disaster, Faculty of Medicine Vajira Hospital, Navamindradhiraj University, Bangkok, 10300, Thailand.ORCID 0009-0001-4223-066X
Adisak NithimathachokeDepartment of Emergency Medicine, Faculty of Medicine Vajira Hospital, Navamindradhiraj University, Bangkok, Thailand.ORCID 0000-0001-8626-619X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Early recognition of sepsis in prehospital settings remains challenging because emergency medical services (EMS) clinicians must make rapid triage decisions using limited physiological information before hospital arrival. Several sepsis screening tools have been validated in emergency department settings; however, comparative evidence in prehospital populations remains limited. Purpose: This study evaluated the diagnostic and prognostic performance of five simplified screening tools-mNEWS, qSOFA, mSIRS, mSOS, and MEWS-for identifying sepsis and predicting 30-day mortality in prehospital patients. Methods: This retrospective diagnostic accuracy study included 268 adult patients (≥18 years) transported by Vajira Emergency Medical Service, Bangkok, Thailand, to Vajira Hospital between January 2018 and October 2024. Prehospital clinical parameters recorded by paramedics and emergency nurse practitioners were analyzed against the final hospital diagnosis of sepsis and 30-day in-hospital mortality. Predefined thresholds (mSOS ≥4, MEWS ≥5, mNEWS ≥5, qSOFA ≥2, and mSIRS ≥2) were used for the primary analyses. Diagnostic performance was evaluated using the area under the receiver operating characteristic curve (AuROC), sensitivity, and specificity. Results: Among 268 patients, MEWS demonstrated the highest discrimination for identifying sepsis (AuROC 0.84; sensitivity 64.9%; specificity 79.1%). mSOS (AuROC 0.83) and mSIRS (AuROC 0.82) demonstrated high sensitivity (>96%) but lower specificity (~60%), while mNEWS showed the highest sensitivity (99.3%) but poor specificity (47.0%). qSOFA demonstrated the lowest discrimination (AuROC 0.72). For predicting 30-day mortality, MEWS demonstrated the highest performance (AuROC 0.70; sensitivity 72.2%; specificity 64.5%), followed by mNEWS and mSOS (AuROC 0.69 each), whereas qSOFA (AuROC 0.64) and mSIRS (AuROC 0.60) demonstrated lower discrimination. Conclusion: MEWS demonstrated the most balanced diagnostic performance for identifying sepsis and predicting 30-day mortality in prehospital patients. Highly sensitive tools may be useful for early screening, whereas MEWS may better support risk stratification. Further external validation is required before broader implementation.

Indexed as

diagnostic accuracyemergency medical servicesmortalityprehospital careprognosissepsis

Identifiers

PMID42719570
PMCPMC13555330

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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.