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M.N. Al-Hasan, B.D. Lahr, J.E. Eckel-Passow, L.M. Baddour 

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Presentation on theme: "M.N. Al-Hasan, B.D. Lahr, J.E. Eckel-Passow, L.M. Baddour "— Presentation transcript:

1 Predictive scoring model of mortality in Gram-negative bloodstream infection 
M.N. Al-Hasan, B.D. Lahr, J.E. Eckel-Passow, L.M. Baddour  Clinical Microbiology and Infection  Volume 19, Issue 10, Pages (October 2013) DOI: / Copyright © 2013 European Society of Clinical Infectious Diseases Terms and Conditions

2 Fig. 1 Calibration plot of final multivariable logistic model for predictors of 28-day mortality in Gram-negative bloodstream infection. Note: The observed frequency of 28-day mortality plotted by deciles of predicted probability from the original (grey filled circles, error bars, and dashed-line loess curve) and bootstrap/bias-corrected (black X markers, error bars and solid-line loess curve) modelling. Perfect calibration is represented by the Y = X line. Clinical Microbiology and Infection  , DOI: ( / ) Copyright © 2013 European Society of Clinical Infectious Diseases Terms and Conditions

3 Fig. 2 Receiver operating characteristic plot of the final multivariable logistic model and risk-score model of 28-day mortality for Gram-negative bloodstream infection. Note: c-Statistic for both final multivariable logistic and risk-score models = 0.84 Clinical Microbiology and Infection  , DOI: ( / ) Copyright © 2013 European Society of Clinical Infectious Diseases Terms and Conditions

4 Fig. 3 Predicted probability of 28-day mortality in patients with gram-negative bloodstream infection by risk score. Note: Vertical lines represent 95% CIs. The size of marker for point estimates is weighted approximately by the number of subjects with a corresponding risk score. Clinical Microbiology and Infection  , DOI: ( / ) Copyright © 2013 European Society of Clinical Infectious Diseases Terms and Conditions


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