Commentary: A lymph node mediastinal foreign body reaction mimicking nodal metastasis: a case series Gianluca Franceschini Frontiers in Medicine.2023;[Epub] CrossRef
Right Ventricular Subclinical Dysfunction as a Predictor of Postoperative Adverse Clinical Outcomes in Patients with Femoral Fracture Hyun-Jin Kim, Hyun-Sun Kim, Jeong-Heon Heo Journal of Personalized Medicine.2024; 14(7): 673. CrossRef
Occurrence of Numerous Cerebral White Matter Hyperintensities in Trauma Patients With Cerebral Fat Embolism: A Systematic Review and Report of Two Cases Gregory S Huang, C. Michael Dunham, Elisha A Chance Cureus.2023;[Epub] CrossRef
Yong Nam In, Se Kwang Oh, Jin Hong Min, Jung Soo Park, Yeon Ho You, Insool Yoo, Seung Whan Kim, Jinwoong Lee, Seung Ryu, Won Joon Jeong, Yong Chul Cho, Hong Joon Ahn, Chang Shin Kang
Clin Exp Emerg Med 2023;10(2):241-245. Published online February 24, 2023
Objective We 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.
Methods We 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.
Results The 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).
Conclusion The 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.
Citations
Citations to this article as recorded by
Evaluating the National Early Warning Score (NEWS) in triage: A machine learning perspective Arian Zaboli, Francesco Brigo, Serena Sibilio, Magdalena Massar, Gabriele Magnarelli, Gloria Brigiari, Gianni Turcato International Emergency Nursing.2025; 80: 101602. CrossRef
Development and validation of a transformer model-based early warning score for real-time prediction of adverse outcomes in the emergency department Hansol Chang, Jong Eun Park, Daehwan Lee, Kiwon Lee, Se Yong Jekal, Ki Tae Moon, Sejin Heo, Doyeop Kim, Gun Tak Lee, Sung Yeon Hwang, Won Chul Cha, Wonhee Kim, Tae Ho Lim, Tae Gun Shin Scientific Reports.2025;[Epub] CrossRef
Association between initial patient acuity and the predictive performance of the MREMS: A nationwide retrospective cohort study Álvaro Astasio-Picado, José Luis Martín-Conty, Begoña Polonio-López, Cristina Rivera-Picón, Alberto López Ballesteros, Alberto José Aragón Granados, Diego Villalobos Buitrago, Paula Álvarez Buitrago, Samanta Diaz-Gonzalez, Juan Dueñas-Ruiz, Francisco Mart The American Journal of Emergency Medicine.2025; 97: 84. CrossRef
Predictive validity of resource-adjusted Korean Triage and Acuity Scale in pediatric gastrointestinal tract foreign body patients Jin Hee Lee, Jin Hee Jung, Hyun Noh, Mi Jin Kim Scientific Reports.2024;[Epub] CrossRef
A model study for the classification of high-risk groups for cardiac arrest in general ward patients using simulation techniques Seok Young Song, Won-Kee Choi, Sanggyu Kwak Medicine.2023; 102(37): e35057. CrossRef