Skip to main content
. 2018 Oct 17;11:2399–2406. doi: 10.2147/JPR.S178853

Table S1.

Multiple regression analysis for postoperative pain and length of hospital stay

Dependent variables Independent variables B SE β p-value R2

Postoperative VAS (average) Good-pacing/poor-pacing 10.196 3.144 0.347 0.002 0.239
Preoperative PCS 0.305 0.121 0.270 0.014
Age 0.322 0.147 0.237 0.032
Postoperative VAS (worst) Good-pacing/poor-pacing 23.904 5.314 0.463 <0.001 0.313
Male 22.438 6.704 0.345 0.001
TKA 11.261 5.077 0.224 0.030
Length of postoperative hospital stay Good-pacing/poor-pacing 3.017 1.064 0.310 0.006 0.424
TKA 2.587 1.037 0.272 0.015

Notes: The risk factors for sever postoperative pain and prolonged postoperative hospital stay were explored with multiple regression analysis in overall. The all preoperative and intraoperative variables were included in the multivariate logistic regression analysis. Sex, surgical procedure, and good-pacing/poor-pacing group included a dummy variable for analysis. The results showed the good-pacing/poor-pacing was a significant correlating factor for severe postoperative pain and prolonged postoperative hospital stay.

Abbreviations: B, nonstandard regression coefficient; SE, standard error; β, standardized regression coefficient; R2, multiple correlation coefficient adjusted for the degrees of freedom; VAS, visual analog scale; PCS, pain catastrophizing scale; TKA, total knee arthroplasty; HADS, hospital anxiety and depression scale.