title: Evaluation of the Mortality in Emergency Department Sepsis score combined with procalcitonin in septic patients.
abstract: OBJECTIVE
  To determine an effective method for predicting severity of sepsis and 28-day mortality of emergency department (ED) patients, we compared the Mortality in Emergency Department Sepsis (MEDS) score with procalcitonin (PCT), interleukin-6 (IL-6), and C-reactive protein (CRP) and evaluated the MEDS score combined with relevant biomarkers.
  
  
  METHODS
  A total of 501 adult ED patients with sepsis were selected for this prospective clinical study. The optimal combination was assessed by logistic regression. All cases were divided into the sepsis group (319 cases) and the severe sepsis and septic shock group (182 cases) according to the severity of sepsis, as well as the survivor group (367 cases) and nonsurvivor group (134 cases) according to the 28-day outcomes.
  
  
  RESULTS
  The area under the curve of the MEDS score, PCT, IL-6, and CRP was 0.793, 0.712, 0.695, and 0.681 for severity of sepsis and 0.776, 0.681, 0.692, and 0.661 for 28-day mortality, respectively. Only PCT was an independent predictor when combined with the MEDS score. The new combination of the MEDS score with PCT improved the area under the curve for severity (0.852) and mortality (0.813). This new combination for evaluation of severity had better sensitivity (63.2%), specificity (92.2%), and positive predictive (82.1%) and negative predictive (81.4%) values.
  
  
  CONCLUSIONS
  The predictive ability of the MEDS score for severity and 28-day mortality of septic ED patients is better than PCT, IL-6, and CRP levels. The MEDS score combined with PCT enhances the ability of risk stratification and prognostic evaluation.
authors.affiliation: Department of Emergency, Beijing Chaoyang Hospital Affiliated to Capital Medical University, Beijing 100020, China.
authors.forename: Yongzhen
authors.initials: Y
authors.lastname: Zhao
authors.forename: Chunsheng
authors.initials: C
authors.lastname: Li
authors.forename: Yumei
authors.initials: Y
authors.lastname: Jia
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D015415:Biomarkers / Q000097:blood; D002116:Calcitonin / Q000097:blood*; D015740:Calcitonin Gene-Related Peptide; D003661:Decision Support Techniques; D004636:Emergency Service, Hospital; D005260:Female; D005500:Follow-Up Studies; D006801:Humans; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D011379:Prognosis; D011446:Prospective Studies; D011498:Protein Precursors / Q000097:blood*; D012372:ROC Curve; D018570:Risk Assessment; D012680:Sensitivity and Specificity; D018805:Sepsis / Q000097:blood / Q000175:diagnosis* / Q000401:mortality; D012720:Severity of Illness Index; D055815:Young Adult
chemical_list: D015415:Biomarkers; C000606589:CALCA protein, human; D011498:Protein Precursors; D002116:Calcitonin; D015740:Calcitonin Gene-Related Peptide