Univariate and multivariable stepwise regression analysis were used to investigate the association of serum lipocalin-2 with clinical and biochemical characteristics.
Using the cohort of 228 IGT subjects who received placebo treatment in the ACT NOW study, we performed a multivariable stepwise regression analysis to examine which factors (that routinely could be measured in the physician's office) at baseline were associated with end-of-study glucose tolerance status (normal glucose tolerance [NGT] and IGT compared with T2DM).
Univariable and multivariable analyses (stepwise analysis) of the factors influencing RFS are presented in Table 4. Univariable analyses demonstrated that pT stage, pN stage, TNM stage, Fuhrman grade, pRCC type, tumor necrosis, neutrophilia, and high NLR were significant predictors of RFS.
Multivariable stepwise logistic regression analysis identified a relationship of advanced age and lower body weight to vascular complications.
Univariate and multivariable stepwise logistic regression analysis were used to investigate the association of serum OPG with clinical and biochemical characteristics.
Multivariable stepwise logistic regression analysis was performed to assess the relationship between the patient demographic or social data and patient interest in a visit from the spiritual caregiver.
In multivariable stepwise logistic regression analysis including these parameters, FGF-23 concentration remained an independent predictor of clinical outcome at 30 days (Table 2).
Multivariable stepwise logistic regression analysis was used to assess the impact of explanatory variables in outcome (ICU mortality) for both the pandemic and post-pandemic periods.
All variables including ANC, NLR with a P less than 0.05 on univariable analyses were entered into multivariable stepwise Cox regression analysis.
Age, the number of synthetic disease-modifying agents (DMARDs) and total cholesterol concentrations were independently associated with plaque in multivariable stepwise backward regression analysis (odds ratio (95% confidence interval) = 1.15 (1.07 to 1.24), P <0.0001, 1.51 (1.05 to 2.17), P = 0.03 and 1.66 (1.00 to 2.73) P = 0.04), respectively).
