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Comparison of IGS 2 score and a new neural network biomarker score performance in predicting 1-year mortality


The aim of this study was to compare the IGS 2 score with a predictive model built using clinical characteristics and biomarkers associated with 1-year mortality from procalcitonin, C-reactive protein, troponin I (TnI) and NT-Pro-BNP.


We conducted a prospective observational cohort study in a polyvalent ICU. We calculated the IGS 2 severity score in the first 24 hours. We dosed NT-Pro-BNP, TnI, procalcitonin and C-reactive protein at admission to the ICU. To test the biomarker model, the patient database was divided into training (70%) and test (30%) databases. A neural network model was trained from variables associated with 1-year mortality. All statistics were done using R v.2.15.1. We used the pROC package to plot and compare ROC curves.


Lower age, NT-Pro-BNP and TnI were significantly associated with 1-year survival. We built a neural network model using the training database. We used the test database to compare our model with the IGS 2 score. The difference between the AUC of the biomarker score and the IGS 2 score was statistically significant (Figure 1).

Figure 1

Comparison of area under ROC curves (AUC) of the biomarker score and IGS 2.


Our new neural network model built using age, NT-PRO-BNP and TnI succeeded the internal-validation processes and predicts 1-year mortality better than IGS 2.

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Correspondence to C Romdhani.

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Romdhani, C., Labbene, I., Amor, M.B. et al. Comparison of IGS 2 score and a new neural network biomarker score performance in predicting 1-year mortality. Crit Care 17, P480 (2013).

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  • Predictive Model
  • Severity Score
  • Neural Network Model
  • Score Performance
  • Procalcitonin