Comparison of three different organ failure assessment score systems in predicting outcome of severe sepsis.
- Author:
Xiao-pan LUO
1
;
Hai-hong WANG
;
Shuang-fei HU
;
Shui-jing WU
;
Guo-hao XIE
;
Bao-li CHENG
;
Chen ZHOU
;
Xiang-ming FANG
Author Information
- Publication Type:Journal Article
- MeSH: APACHE; Adult; Aged; Aged, 80 and over; Female; Hospital Mortality; Humans; Intensive Care Units; Male; Middle Aged; Multiple Organ Failure; pathology; Prognosis; Sepsis; mortality; Severity of Illness Index
- From: Chinese Journal of Surgery 2009;47(1):48-50
- CountryChina
- Language:Chinese
-
Abstract:
OBJECTIVETo compare multiple organ dysfunction score (MODS), the sequential organ failure assessment (SOFA) and the logistic organ dysfunction score (LODS) in predicting hospital mortality in severe sepsis.
METHODSFour hundred and three patients admitted to the ICU from December 2004 to November 2007 with a diagnosis of severe sepsis were enrolled in this study. Their MODS, SOFA, LODS and Acute Physiology and Chronic Health Evaluation (APACHE) II at admission and the highest score during hospitalization were respectively recorded and collected in regard to mortality. The discrimination of three multiple organ dysfunction score systems were assessed by the areas under the receiver operating characteristic curves (AUC).
RESULTSThe AUC of admission scores was 0.811 for LODS, 0.787 for SOFA, 0.725 for MODS, and 0.770 for APACHE II in predicting hospital mortality. All maximum scores had better power of discrimination than the admission scores (P < 0.01). The power of discrimination of LODS and SOFA were better than the MODS, either the admission or the highest, respectively (P < 0.01). However, no significant difference was observed between the LODS and the SOFA regarding mortality prediction (P > 0.05). The AUC value for the APACHE II score was much lower compared to LODS (P < 0.01). However, there was no difference in AUC value among APACHE II, SOFA and MODS (P > 0.05).
CONCLUSIONLODS, SOFA and MODS show a good discrimination power, while maximum LODS is of the highest discrimination power to predict the outcome of patient with severe sepsis.