Afterwards, multivariate stepwise regression analyses were carried out.
Univariate and multivariate stepwise regression analyses were undertaken to assess predictors of no AKI after CPB.
Univariate and multivariate stepwise regression analyses were undertaken to assess predictors of AKI after CPB.
Significant interactions were further analyzed by including the interaction terms in multivariate stepwise regression analyses.
Considering the small simple size, Multivariate stepwise backward analyses included all variables significant at P ≤ 0.05 in Univariate analysis [ 26].
The effect of treatment on change in SSS was further analyzed in multivariate stepwise regression analyses that included the following variables: age, sex, symptom duration, baseline and 2-year change in ASDAS, baseline and 2-year change in CRP, baseline and 2-year change in SPARCC SIJ inflammation score, and baseline SSS for erosion, fat metaplasia, backfill, and ankylosis.
Demographic (169 men and 92 postmenopausal women) and clinical (metabolic syndrome (MS), triglyceride (TG) and C-reactive protein (CRP) levels) characteristics were collected to assess independent factors of CAD (CAD: 188 and non-CAD: 73) and serum LCN2 levels by multiple logistic regression and multivariate stepwise regression analyses, respectively.
Twenty-two factors were studied in a univariate analyses, and multivariate stepwise Cox regression analyses was performed.
The variables that were found to be significantly or closely associated in the univariate analyses were included in the multivariate stepwise linear regression analyses, with P < 0.05 considered statistically significant.
Multivariate stepwise logistic regression analyses adjusting time to tracheostomy, SOFA score, and steroid usage revealed that perioperative complication was independently associated with alert PCT.
Multivariate stepwise logistic regression analyses were performed by using SAS statistical software (SAS Institute, Cary, NC, USA).
