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. 2023 Jan 9;7(1):e22.00261. doi: 10.5435/JAAOSGlobal-D-22-00261

Table 5.

Bivariate and Multivariate Linear Regression for Correlation With Procalcitonin

Bivariate Multivariate
Characteristics Coefficienta 95% Confidence Interval P value Coefficienta 95% Confidence Interval P value
Age −0.01 ± 0.02 −0.05 to 0.03 0.678
Male −0.80 ± 0.82 −2.45 to 0.86 0.337
BMI 0.00 ± 0.06 −0.11 to 0.12 0.948
Osteoarthritis −0.36 ± 1.13 −2.62 to 1.91 0.753
Hyperlipidemia −0.54 ± 0.83 −2.2 to 1.12 0.519
Septic arthritis 1.98 ± 0.72 0.55-3.42 0.008 2.18 ± 0.70 0.78-3.58 0.003
Other Infectionb 1.13 ± 0.75 −0.37 to 2.63 0.138
Bacteremiab 3.57 ± 0.84 1.89-5.26 <0.001 3.07 ± 0.87 1.32-4.83 0.001
Cellulitis −0.47 ± 1.44 −3.37 to 2.42 0.744
Crystal Arthropathyb 1.04 ± 0.75 −0.47 to 2.54 0.174
Gout 0.01 ± 0.89 −1.77-1.79 0.991
Pseudogoutb 1.46 ± 0.89 −0.32 to 3.25 0.106 1.80 ± 0.83 0.14-3.46 0.034
a

Reported as coefficient ± standard error.

b

Variables included in initial multiple linear regression. SA, bacteremia, and pseudogout were significant in the final model.