Copyright
©The Author(s) 2016.
World J Gastroenterol. Nov 7, 2016; 22(41): 9172-9185
Published online Nov 7, 2016. doi: 10.3748/wjg.v22.i41.9172
Published online Nov 7, 2016. doi: 10.3748/wjg.v22.i41.9172
Binary logistic regression analysis | ||||||||
Univariate | Multivariate | |||||||
Unadjusted | P value | Adjusted for MELD | P value | Adjusted for leucocyte count | P value | Adjusted for MELD and leucocyte count | P value | |
ln(Presepsin) | 3.59 (1.65-7.84) | 0.001 | 1.9 (0.81-4.43) | 0.138 | 2.91 (1.28-6.64) | 0.011 | 1.61 (0.65-3.97) | 0.303 |
ln(PCT) | 2.54 (1.55-4.16) | < 0.001 | 1.89 (1.14-3.14) | 0.014 | 2.33 (1.42-3.83) | 0.001 | 1.81 (1.09-3.01) | 0.022 |
ln(CRP) | 2.17 (1.23-3.81) | 0.007 | 1.73 (0.93-3.21) | 0.081 | 1.84 (1.03-3.31) | 0.040 | 1.56 (0.81-2.99) | 0.180 |
- Citation: Papp M, Tornai T, Vitalis Z, Tornai I, Tornai D, Dinya T, Sumegi A, Antal-Szalmas P. Presepsin teardown - pitfalls of biomarkers in the diagnosis and prognosis of bacterial infection in cirrhosis. World J Gastroenterol 2016; 22(41): 9172-9185
- URL: https://www.wjgnet.com/1007-9327/full/v22/i41/9172.htm
- DOI: https://dx.doi.org/10.3748/wjg.v22.i41.9172