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Table 3 Univariate and multivariate logistic regression models

From: Association between left ventricular global longitudinal strain and natriuretic peptides in outpatients with chronic systolic heart failure

Variable Univariate Multivariate
  Odds ratio Beta Odds ratio Beta
(95 % CIa) (95 % CI) (95 % CI) (95 % CI)
P-value P-value P-value P-value
GLSb NT-proBNPc 5.92 0.47 7.25 1.19
(2.59-13.60) (0.15-0.32) (2.48-21.18) (0.62-1.76)
<0.001 <0.001 <0.001 <0.001
GLSAge - - 1.03 0.03
   (0.97-1.09) (0.00-0.06)
   0.310 0.025
GLSGenderFemale - - 2.29 0.07
   (0.62-8.47) (−0.55-0.69)
   0.214 0.822
GLSBMId - - 0.89 −0.05
   (0.80-1.00) (−0.10-0.00)
   0.047 0.063
GLSAFe - - 3.05 0.52
   (0.94-0.85) (−0.10-1.14)
   0.063 0.099
GLSCreatinine - - 1.03 0.01
   (1.00-1.05) (0.00-0.01)
   0.010 <0.001
GLSLAVIf - - 1.00 0.00
   (0.99-1.02) (−0.01-0.01)
   0.647 0.569
  1. aConfidence interval, bGlobal longitudinal strain, cAmino-terminal-pro-brain-natriuretic-peptide, dBody mass index, eAtrial fibrillation, fLeft atrial volume index
  2. Confounders included in the multivariate logistic regression models: Age, gender, atrial fibrillation, body-mass-index, creatinine, LAVI
  3. A: Univariate and Multivariate logistic regression models (response: NT-proBNP) (confounders: age, gender, body mass index, atrial fibrillation, creatinine, left atrial volume index)