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Interestingly, the CFU levels at six weeks post infection in the vaccine groups directly correlated with the ESAT-6 CD4 T cell response (R2 = 0.78) (Fig. 4B), in agreement with previous work indicating that the ESAT-6 specific response can be used as a predictor for bacterial load [23].
Recently, a new multi-component subcellular-location predictor for bacterial proteins has been described: LocateP [ 26].
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This study also determined which molecular markers would be more reliable predictors for bacterial virulence.
Multivariate stepwise logistic regression was applied to evaluate the independent predictors for bacterial meningitis.
This study may also provide insights for MRSA diagnosis and prevention, as some molecular characteristics associated with specific genetic backgrounds are discriminating predictors for bacterial virulence.
Multivariate analysis identifying independent predictors for bacterial infection are reported in table 5. ICU and hospital mortality rates were 20.2% (24 deaths) and 32.8% (39 deaths), respectively.
Duration of fever had to be studied as a predictor for serious bacterial infections.
In this study we analyzed the significance of serum levels of the proinflammatory cytokines IL-6 and IL-8 as well as C-reactive protein as predictors for severe bacterial infection or bacterial sepsis in children with fever and neutropenia during cancer chemotherapy.
Although procalcitonin seems to be a valuable predictor of bacterial infections and an effective tool for reducing unnecessary antibiotic use [ 23, 24], its universal use in critically ill patients might have negative consequences [ 25, 26].
Genotype was a strong predictor of Bacterial Load in both the acute and chronic phase of infection (Model E; Table 5; Genotype: p < 0.001), clearly demonstrating genetic variation for resistance.
Finally, we did not include ill subjects with noninfectious conditions and thus we cannot conclude that our predictors are specific for bacterial infection.
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