title: Evaluation of the threshold value for the modified early warning score (MEWS) in medical septic patients: a secondary analysis of an Italian multicentric prospective cohort (SNOOPII study).
abstract: BACKGROUND
  Due 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.
  
  
  OBJECTIVE
  To explore the ability of Modified Early Warning Score (MEWS) to predict the in-hospital mortality in septic patients admitted to MWs.
  
  
  METHODS
  Secondary analysis of a multicentric prospective study.
  
  
  METHODS
  Consecutive 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.
  
  
  RESULTS
  In 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.
  
  
  CONCLUSIONS
  Our findings do not seem to support the use of MEWS to predict the in-hospital mortality risk of sepsis in MWs.
authors.affiliation: From the Department of Internal Medicine, Cervesi Hospital, Cattolica, (RN), AUSL Romagna, Cattolica, Italy.
authors.forename: D
authors.initials: D
authors.lastname: Tirotta
authors.affiliation: Department of Internal Medicine, Media Valle del Tevere Hospital, ASL Umbria 1, Todi, Italy.
authors.forename: M
authors.initials: M
authors.lastname: Gambacorta
authors.affiliation: Deparment of Internal Medicine, East Ligurian Hospital, La Spezia, ASL5 Liguria, La Spezia, Italy.
authors.forename: M
authors.initials: M
authors.lastname: La Regina
authors.affiliation: Department of Internal Medicine, Canicattì Hospital, ASP1 Agrigento, Canicatti, Italy.
authors.forename: T
authors.initials: T
authors.lastname: Attardo
authors.affiliation: Deparment of Internal Medicine, East Ligurian Hospital, La Spezia, ASL5 Liguria, La Spezia, Italy.|Department of Clinical and Experimental Medicine, University of Messina, Messina, Italy.
authors.forename: A
authors.initials: A
authors.lastname: Lo Gullo
authors.affiliation: Department of Internal Medicine, Oristano, ASL 5, Oristano, Italy.
authors.forename: F
authors.initials: F
authors.lastname: Panzone
authors.affiliation: Department of Internal Medicine, Legnano Hospital, Legnano, Italy.
authors.forename: A
authors.initials: A
authors.lastname: Mazzone
authors.affiliation: Department of Internal Medicine, Novara Hospital, Novara, Italy.
authors.forename: M
authors.initials: M
authors.lastname: Campanini
authors.affiliation: Department of Internal Medicine, Insumbria University, Varese, Italy.
authors.forename: F
authors.initials: F
authors.lastname: Dentali
mesh_terms: D000368:Aged; D005260:Female; D017052:Hospital Mortality; D006760:Hospitalization / Q000706:statistics & numerical data; D006801:Humans; D007362:Intensive Care Units; D007558:Italy / Q000453:epidemiology; D008297:Male; D008875:Middle Aged; D010360:Patient Transfer / Q000706:statistics & numerical data; D011237:Predictive Value of Tests; D011379:Prognosis; D011446:Prospective Studies; D012372:ROC Curve; D012680:Sensitivity and Specificity; D018805:Sepsis / Q000175:diagnosis* / Q000401:mortality; D012720:Severity of Illness Index