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©The Author(s) 2023.
World J Clin Cases. Jul 16, 2023; 11(20): 4833-4842
Published online Jul 16, 2023. doi: 10.12998/wjcc.v11.i20.4833
Published online Jul 16, 2023. doi: 10.12998/wjcc.v11.i20.4833
Table 2 Variables included in the multivariate logistic regression model for distinguishing between Gram-positive and Gram-negative infection
Variable | Prediction model | ||
β | Odds ratio (95%CI) | P value | |
Age | -0.026 | 0.951-0.999 | 0.040 |
IL-6 in pg/mL | -0.002 | 0.997-0.999 | 0.009 |
AST in U/L | 0.001 | 1.000-1.002 | 0.070 |
- Citation: Zhang W, Chen T, Chen HJ, Chen N, Xing ZX, Fu XY. Risk prediction model for distinguishing Gram-positive from Gram-negative bacteremia based on age and cytokine levels: A retrospective study. World J Clin Cases 2023; 11(20): 4833-4842
- URL: https://www.wjgnet.com/2307-8960/full/v11/i20/4833.htm
- DOI: https://dx.doi.org/10.12998/wjcc.v11.i20.4833