Sepsis is a major cause of morbidity and mortality and many tools exist to facilitate early recognition. SOFA score and the new developed scores could be useful in asses the risk of in-hospital mortality in patients included in the sepsis code. Two prognostic models were generated: MPRO1: age, oxygen saturation ≤92% and Glasgow coma score <14, AUC: 0.78 (IC 95% 0.72-0.84 p<0.001) and MPRO2 formed by the previous ones and lactate ≥2mmol/L, AUC: 0.82 (IC 95% 0.76-0.87 p<0.001). After the multivariate analysis, these were the independent factors associated with in-hospital mortality: Oxygen saturation ≤92%, Glasgow coma score <14, lactate ≥2mmol/L (p<0.05). Logistic regression was used to evaluate the probability of in-hospital mortality.Ī total of 349 patients were analyzed, median age 72.7 (range 86), males: 54.4%. Receiver operating characteristic curves were constructed for each score. Demographic variables, hemodynamic and analytical variables, and in-hospital mortality were collected to obtain qSOFA, SOFA, LODS, EWS scores.
#STEVEN GRESO SEPTIC SYSTEM DESIGNER WA CODE#
Retrospective study including patients over 14 years of age included in the sepsis code of an Emergency Department of a University Hospital between November 2013 and September 2015. It does not store any personal data.The objective of the study is to determine the usefulness of the SOFA (Sequential Organ Failure Assessment), quick SOFA (qSOFA), LODS (Logistic Organ Dysfunction System) and EWS (Early Warning Score) scores to predict in-hospital mortality among septic patients attended in the emergency department to evaluate what factors are associated with mortality and develop a predictive model of in-hospital mortality. viewed_cookie_policy 11 months The cookie is set by the GDPR Cookie Consent plugin and is used to store whether or not user has consented to the use of cookies. The cookie is used to store the user consent for the cookies in the category "Performance". cookielawinfo-checkbox-performance 11 months This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Other. cookielawinfo-checkbox-others 11 months This cookie is set by GDPR Cookie Consent plugin.
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