title: [Predictive value of combining of anatomy scoring system and physiological scoring system for the diagnosis of multiple organ dysfunction syndrome in patients with severe trauma].
abstract: OBJECTIVE
  To evaluate the predictive value of a combination of anatomy scoring system and physiological scoring system for the diagnosis of multiple organ dysfunction syndrome (MODS) in patients with severe trauma.
  
  
  METHODS
  The clinical data of 539 patients with severe trauma hospitalized in ICUs of the First Affiliated Hospital of Chengdu Medical College, Daping Hospital of the Third Military Medical University, and the Affiliated Hospital of Zunyi Medical College from January 2010 to December 2014, conforming to the study criteria, were retrospectively analyzed. The patients were divided into MODS group (n=361) and non-MODS group (n=178) according to the diagnostic criteria of MODS. The data of Injury Severity Score (ISS), New Injury Severity Score (NISS), Acute Physiology and Chronic Health Evaluation II (APACHE II) score, ISS+ APACHE II score, and NISS+ APACHE II score of patients on the first day of ICU admission were calculated and compared between the two groups. Data were processed with t test, chi-square test, and receiver operating characteristic (ROC) curves of the various scoring systems in 539 patients with severe trauma were plotted, and DeLong-DeLong non parametric test was used to evaluate the predictive ability for MODS of the various scoring systems.
  
  
  RESULTS
  The scores of ISS, NISS, APACHE II, ISS+ APACHE II, and NISS+ APACHE II of patients in MODS group were respectively (26±8), (36±12), (21±7), (47±10), and (56±14) points, and they were significantly higher than those of patients in non-MODS group [respectively (24±6), (28±7), (16±5), (39±8), and (44±9) points, with t values from 4.970 to 12.120, P values below 0.01]. The total areas under ROC curves (95% confidence interval) of ISS, NISS, APACHE II score, ISS+ APACHE II score, and NISS+ APACHE II score in MODS prediction of patients with severe trauma were respectively 0.611 (0.569-0.653), 0.693 (0.652-0.731), 0.719 (0.679-0.756), 0.727 (0.687-0.764), and 0.764 (0.726-0.799). The total areas under ROC curves of NISS, APACHE II score, ISS+ APACHE II score, and NISS+ APACHE II score were significantly larger than the total area under ROC curve of ISS (with Z values from 3.505 to 7.179, P values below 0.001). The total areas under ROC curves of APACHE II score and ISS+ APACHE II score were larger than the total area under ROC curve of NISS, but there were no significant differences (with Z values respectively 0.931 and 1.657, P values above 0.05), while the total area under ROC curve of NISS+ APACHE II score was significantly larger than that of NISS (Z=5.478, P<0.001). The total area under ROC curve of ISS+ APACHE II score was larger than that of APACHEⅡ score, but there was no significant difference (Z=0.450, P=0.653), and the total area under ROC curve of NISS+ APACHE II score was significantly larger than that of APACHE II score (Z=2.554, P<0.05). The total area under ROC curve of NISS+ APACHE II score was significantly larger than that of ISS+ APACHE II score (Z=2.989, P<0.01).
  
  
  CONCLUSIONS
  The combination of NISS and APACHE II score is more significant than ISS, NISS, APACHE II score, and ISS+ APACHE II score in prediction of MODS in patients with severe trauma.
authors.affiliation: School of Basic Medicine, Chengdu Medical College, Chengdu 610500, China.
authors.forename: Xiaoyuan
authors.initials: X
authors.lastname: Ma
authors.forename: Ya
authors.initials: Y
authors.lastname: Xiao
authors.forename: Tao
authors.initials: T
authors.lastname: Chen
authors.forename: Dongpo
authors.initials: D
authors.lastname: Jiang
authors.forename: Jian
authors.initials: J
authors.lastname: Zhou
authors.forename: Jun
authors.initials: J
authors.lastname: Yan
authors.forename: Huaping
authors.initials: H
authors.lastname: Liang
mesh_terms: D018806:APACHE; D006801:Humans; D015601:Injury Severity Score; D007362:Intensive Care Units; D009102:Multiple Organ Failure / Q000175:diagnosis* / Q000503:physiopathology; D063305:Organ Dysfunction Scores; D017063:Outcome Assessment, Health Care; D011237:Predictive Value of Tests; D012372:ROC Curve; D012189:Retrospective Studies; D012680:Sensitivity and Specificity