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- D Tirotta, M Gambacorta, M La Regina, T Attardo, A Lo Gullo, F Panzone, A Mazzone, M Campanini, and F Dentali.
- From the Department of Internal Medicine, Cervesi Hospital, Cattolica, (RN), AUSL Romagna, Cattolica, Italy.
- QJM. 2017 Jun 1; 110 (6): 369-373.
BackgroundDue to aging and resources limitation, septic patients are often admitted to medical wards (MWs). Early warning deterioration is a relevant issue in this setting. Unfortunately, a suitable prognostic score has not been identified, yet.AimTo explore the ability of Modified Early Warning Score (MEWS) to predict the in-hospital mortality in septic patients admitted to MWs.DesignSecondary analysis of a multicentric prospective study.MethodsConsecutive septic patients with positive blood culture admitted to 31 Italian MWs were included. Baseline characteristics, clinics, isolates, rate of transfer to ICU, MEWS was collected on admission according to the study protocol. The accuracy of MEWS in predicting the in-hospital mortality was assessed with the area under the receiver-operating characteristic curves. Sensitivity, specificity, positive and negative predictive value (PPV and NPV), likelihood ratio (LR) were calculated for different MEWS cut-offs and age/comorbidities subgroups.ResultsIn total 526 patients were included in this analysis. Median MEWS was (range 0-11). In-hospital mortality was 14.8% and transfer to ICU 1.3%. Mortality progressively increased according to MEWS (3% in MEWS 0 vs. 27% in MEWS >5; Chi square for trend P < 0.05). The AUC of MEWS in predicting in-hospital mortality was 0.596 (95% CI, 0.524, 0.669). MEWS did not appear to have an adequate sensitivity, sensibility, PPV, NPV and LR both in the whole population and in the pre-specified subgroups.ConclusionsOur findings do not seem to support the use of MEWS to predict the in-hospital mortality risk of sepsis in MWs.© The Author 2017. Published by Oxford University Press on behalf of the Association of Physicians. All rights reserved. For Permissions, please email: journals.permissions@oup.com
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