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Comparison of modified quick Sequential Organ Failure Assessment models as triage tools for febrile patients.
Lee, Dong-Young; Ryu, Seung; Jeon, So-Young; Park, Jung-Soo; You, Yeon-Ho; Jeong, Won-Joon; Cho, Yong-Chul; Ahn, Hong-Joon; Kang, Chang-Shin; Oh, Se-Kwang.
Afiliación
  • Lee DY; Department of Emergency Medicine, Chungnam National University Hospital, Daejeon, Korea.
  • Ryu S; Department of Emergency Medicine, Chungnam National University Hospital, Daejeon, Korea.
  • Jeon SY; Department of Emergency Medicine, Chungnam National University Hospital, Daejeon, Korea.
  • Park JS; Department of Emergency Medicine, Chungnam National University College of Medicine, Daejeon, Korea.
  • You YH; Department of Emergency Medicine, Chungnam National University Hospital, Daejeon, Korea.
  • Jeong WJ; Department of Emergency Medicine, Chungnam National University Hospital, Daejeon, Korea.
  • Cho YC; Department of Emergency Medicine, Chungnam National University Hospital, Daejeon, Korea.
  • Ahn HJ; Department of Emergency Medicine, Chungnam National University Hospital, Daejeon, Korea.
  • Kang CS; Department of Emergency Medicine, Chungnam National University College of Medicine, Daejeon, Korea.
  • Oh SK; Department of Emergency Medicine, Chungnam National University Sejong Hospital, Sejong, Korea.
Clin Exp Emerg Med ; 11(3): 286-294, 2024 Sep.
Article en En | MEDLINE | ID: mdl-38286505
ABSTRACT

OBJECTIVE:

Effective triage of febrile patients in the emergency department is crucial during times of overcrowding to prioritize care and allocate resources, especially during pandemics. However, available triage tools often require laboratory data and lack accuracy. We aimed to develop a simple and accurate triage tool for febrile patients by modifying the quick Sequential Organ Failure Assessment (qSOFA) score.

METHODS:

We retrospectively analyzed data from 7,303 febrile patients and created modified versions of qSOFA using factors identified through multivariable analysis. The performance of these modified qSOFAs in predicting in-hospital mortality and intensive care unit (ICU) admission was compared using the area under the receiver operating characteristic curve (AUROC).

RESULTS:

Through multivariable analysis, the identified factors were age ("A" factor), male sex ("M" factor), oxygen saturation measured by pulse oximetry (SpO2; "S" factor), and lactate level ("L" factor). The AUROCs of ASqSOFA (in-hospital mortality 0.812 [95% confidence interval, 0.789-0.835]; ICU admission 0.794 [95% confidence interval, 0.771-0.817]) were simple and not inferior to those of other more complex models (e.g., ASMqSOFA, ASLqSOFA, and ASMLqSOFA). ASqSOFA also displayed significantly higher AUROC than other triage scales, such as the Modified Early Warning Score and Korean Triage and Acuity Scale. The optimal cutoff score of ASqSOFA for the outcome was 2, and the score for redistribution to a lower level emergency department was 0.

CONCLUSION:

We demonstrated that ASqSOFA can be employed as a simple and efficient triage tool for emergency febrile patients to aid in resource distribution during overcrowding. It also may be applicable in prehospital settings for febrile patient triage.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Clin Exp Emerg Med Año: 2024 Tipo del documento: Article Pais de publicación:

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Clin Exp Emerg Med Año: 2024 Tipo del documento: Article Pais de publicación: