Evidence map›Paper›PMID 36588422›Full record

ArticleClinical and experimental emergency medicine2023

A combination of the Modified Early Warning Score and the Korean Triage and Acuity Scale as a triage tool in patients with infection.

Seung Ryu, Se Kwang Oh, Bong Kyu Lee, So Young Jeon

Open access · diamondAbstract read
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Article in Clinical and experimental emergency medicine, 2023. 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
1.1field-weighted citation impact, top 23% of its field
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

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 5 citations in OpenAlex.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors at 2 institutions in 1 country.

Seung RyuDepartment of Emergency Medicine, Chungnam National University Hospital, Daejeon, Korea.
Se Kwang OhDepartment of Emergency Medicine, Chungnam National University Sejong Hospital, Sejong, Korea.
Bong Kyu LeeDepartment of Emergency Medicine, Chungnam National University Hospital, Daejeon, Korea.
So Young JeonDepartment of Emergency Medicine, Chungnam National University Hospital, Daejeon, Korea.
Chungnam National University Hospital · KRChungnam National University · KR

Funding

Chungnam National University Hospital
6 · The paper itself

Abstract

objectiveWe evaluated the utility of the Korean Modified Early Warning Score (KMEWS), which combines the Modified Early Warning Score (MEWS) and the Korean Triage and Acuity Scale (KTAS), as a triage tool to screen for infection in patients who visit the emergency department.

methodsWe retrospectively reviewed data extracted from electronic medical records. Patients aged ≥18 years with an infection who were admitted to the hospital via the emergency department between January 2018 and December 2019 were eligible for inclusion. The KMEWS score was calculated as the sum of the KTAS level and the MEWS score. We generated receiver operating characteristic curves and determined the area under the receiver operating characteristic curve (AUC) for the KMEWS, KTAS, MEWS, and Mortality in Emergency Department Sepsis (MEDS) scales. The primary outcome was septic shock, and secondary outcomes were intensive care unit admission and in-hospital mortality.

resultsThe AUC values (95% confidence interval) for predicting septic shock were as follows: KMEWS, 0.910 (0.902-0.918); MEWS, 0.896 (0.887-0.904); KTAS score, 0.809 (0.798-0.819); and MEDS, 0.927 (0.919-0.934). The AUC values (95% confidence interval) for predicting in-hospital mortality were as follows: KMEWS, 0.752 (0.740-0.764); MEWS, 0.717 (0.704-0.729); KTAS score, 0.764 (0.752-0.776); and MEDS, 0.844 (0.834-0.854). The AUC values (95% confidence interval) for predicting intensive care unit admission were as follows: KMEWS, 0.826 (0.816-0.837); MEWS, 0.782 (0.770-0.793); KTAS score, 0.821 (0.810-0.831); and MEDS, 0.839 (0.829-0.849).

conclusionThe KMEWS, which is a combination of the MEWS and the KTAS scores, might be a useful triage tool in emergency department patients who present with infection, particularly for predicting septic shock.

Indexed as

Critical careHospital emergency serviceMortalitySeptic shockTriage

Identifiers

PMID36588422
PMCPMC10090726
OpenAlexW4313423986

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LicenceCC BY-NC
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Registered trials

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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.