Skip to main content

Table 3 Univariate and multivariate logistic regression

From: Strain parameters for predicting the prognosis of non‐ischemic dilated cardiomyopathy using cardiovascular magnetic resonance tissue feature tracking

Variables Univariate
OR 95% CI P value
Heart rate 0.963 0.931–0.996 0.030
Body surface are 0.129 0.018–0.927 0.042
Hemoglobin 0.966 0.931–1.002 0.065
RSapi/bas 0.321 0.140–0.736 0.007
SD16-TTPRS 1.030 1.010–1.051 0.004
CSapi/bas 0.278 0.103–1.750 0.011
SD16-TTPCS 1.021 1.005–1.037 0.011
Variables Multivariate
OR 95% CI P value
Heart rate 0.989 0.952–1.027 0.555
Body surface area 0.455 0.044–4.709 0.509
Hemoglobin
RSapi/bas 0.380 0.155–0.934 0.035
SD16-TTPRS 1.029 1.006–1.053 0.012
  1. To find prognostic predictors for the recovered condition, univariate and multivariate logistic regression analysis were performed. Considering the collinearity and clinical significance, 4 variables (HR, BSA, RSapi/bas, SD16-TTPRS) were included in the model, of which recovered group was correlated with RSapi/bas (Odds Ratio: 0.380; 95% confidence interval: 0.155–0.934; P = 0.035) and SD16-TTPRS (Odds Ratio: 1.029; 95% confidence interval: 1.006–1.053; P = 0.012)