• R Jouffroy, A Saade, S Ellouze, A Carpentier, M Michaloux, P Carli, and B Vivien.
• Intensive Care Unit, Anaesthesiology Department, SAMU of Paris, Hôpital Necker, Assistance Publique Hôpitaux de Paris, Paris Descartes University, Paris, France. Electronic address: romain.jouffroy@aphp.fr.
• Am J Emerg Med. 2018 May 1; 36 (5): 820-824.

PurposeA couple of scoring systems have been developed for risk stratification of septic patients. Their performance in the management of out-of-hospital initial care delivery is not documented. This study try to evaluate the predictive ability of Quick Sequential Organ Failure Assessment (qSOFA), Robson Screening Tool (RST), Modified Early Warning Score (MEWS) and Prehospital Early Sepsis Detection (PRESEP) scores on out of-hospital triage of septic patients, to predict intensive care unit (ICU) admission.MethodsA retrospective study using call records received by the SAMU 15 regulation call centre including all patients with presumed septic shock was performed. The primary outcome was the admission to the ICU.ResultsAmong the 47 000 reports received, 37 patients with presumed septic shock were included. Twenty-two patients (59%) were admitted to ICU. AUCs of qSOFA, RST, MEWS and PRESEP scores were respectively 0.40 [0.22-0.59], 0.60 [0.43-0.78], 0.66 [0.47-0.85] and 0.67 [0.51-0.84]. RST outperformed PRESEP, MEWS and qSOFA for sensitivity (1, 0.92, 0.85 and 0.62 respectively). MEWS showed better specificity than PRESEP, MRST and qSOFA (0.33, 0.29, 0.16 and 0.16). MEWS showed comparable positive predictive value than PRESEP and outperformed MRST and qSOFA (0.41, 0.41, 0.39 and 0.29 respectively). Negative predictive value of MRST outperformed PRESEP, MEWS and qSOFA (1, 0.88, 0.80 and 0.44 respectively).ConclusionOur findings suggest that screening patients at SAMU 15 regulation call centre using qSOFA, MRST, MEWS and PRESEP scores to predict ICU admission is irrelevant. Development of a specific scoring system for out-of-hospital triage of septic patients is needed.Copyright © 2017 Elsevier Inc. All rights reserved.

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