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ISSN 0185-3252 (Print)
Revista de la Asociación Médica del Centro Médico ABC

2018, Number 1

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An Med Asoc Med Hosp ABC 2018; 63 (1)

Validation of the new definition of sepsis in the emergency department

Ochoa MX, Cano EAA, Tapia IEX, López CF, Pérez RBGR, Sánchez CA, Montiel FHM

Language: Spanish
References: 22
Page: 6-13
PDF size: 259.18 Kb.


ABSTRACT

Background: Currently sepsis is considered one of the main causes of multiple organ dysfunction and increase in the mortality of those patients who are diagnosed in the emergency department. Objective: To determine the sensitivity and specificity of the definitions of sepsis and septic shock of the Third International Consensus of 2016 and of the Surviving Sepsis Campaign of 2012, as well as their prognostic validity for mortality in patients with these diagnoses in the emergency department. Material and methods: Bicentric, prospective, descriptive, observational, longitudinal and prolective study. All patients older than 18 years who were admitted to the Emergency Department of the ABC Medical Center with the suspicion of sepsis or septic shock, with or without an identified focus, were evaluated from March 2016 to March 2017. Results: One hundred patients were included, with an average entry score of rapid sequential organic failure assessment (qSOFA), sequential organic failure assessment (SOFA) and acute physiology and chronic health evaluation (APACHE) II of 1.4 (SD ± 0.9), 9.2 (SD ± 4.4) and 24.2 (SD ± 13.6) points, respectively. The overall mortality was 26.5%. A greater proportion of patients fulfilled criteria for septic shock using the definition of the Surviving to Sepsis Campaign of 2012, with 56 vs. 48% when using the Third International Consensus of 2016. Conclusions: We observed that a greater proportion of patients fulfilled criteria for septic shock by the definition of the Surviving Sepsis Campaign of 2012, with 56 vs. 48%; for this reason, the septic patients were diagnosed earlier. However, the criteria of the Third International Consensus predicts earlier the severity of the illness as well as mortality.


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