External validation of the sepsis severity score

Author:

Wełna Marek1ORCID,Adamik Barbara1,Goździk Waldemar1,Kübler Andrzej1

Affiliation:

1. Department and Clinic of Anaesthesiology and Intensive Therapy, Wroclaw Medical University, Wroclaw, Poland

Abstract

Introduction: Sepsis is defined as a life-threatening organ dysfunction caused by a dysregulated host response to infection. Mortality rates are high, exceeding 50% in patients with septic shock. The sepsis severity score (SSS) was developed to determine the severity of sepsis and as a prognostic model. The aim of this study was to externally validate the SSS model. Methods: Calibration and discrimination of the SSS were retrospectively evaluated using data from a single-center sepsis registry. Results: Data from 156 septic patients were recorded; 56% of them had septic shock, 94% of patients required mechanical ventilation. The observed hospital mortality was 60.3%. The mean SSS value was 94.4 (95% CI 90.5–98.3). The SSS presented excellent discrimination with an area under the receiver operating characteristic curve (AUC) of 0.806 (95% CI 0.734–0.866). The pairwise comparison of APACHE II (AUC = 0.789; 95% CI 0.715–0.851) with SSS and 1st day SOFA (AUC = 0.75; 95% CI 0.673–0.817) with SSS revealed no significant differences in discrimination between the models. The calibration of the SSS was good with the Hosmer-Lemeshow goodness-of-fit H test 9.59, P > 0.05. Analyses of calibration curve show absence of accurate predictions in lower deciles of lower risk (2nd and 4th). Conclusion: The SSS demonstrated excellent discrimination. The calibration evaluation gave conflicting results; the H-L test result indicated a good calibration, while the visual analysis of the calibration curve suggested the opposite. The SSS requires further evaluation before it can be safely recommended as an outcome prediction model.

Funder

Uniwersytet Medyczny im. Piastów Slaskich we Wroclawiu

Publisher

SAGE Publications

Subject

Pharmacology,Immunology,Immunology and Allergy

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