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Table 4 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 proANPc 3.37 0.34 3.26 0.42
(1.53-7.40) (0.05-0.16) (1.28-8.30) (0.11-0.72)
0.003 <0.001 0.013 0.007
GLSAge - - 1.05 0.05
   (1,00-1.11) (0.03-0.06)
   0.075 <0.001
GLSGenderFemale - - 1.18 -.023
   (0.39-3.58) (−0.55-0.10)
   0.773 0.172
GLSBMId - - 0.96 −0.02
   (0.88-1.05) (−0.05-0.00)
   0.402 0.097
GLSAFe - - 0.80 −0.05
   (0.28-2.29) (−0.38-0.28)
   0.671 0.746
GLSCreatinine - - 1.02 0.00
   (1.00-1.04) (0.00-0.01)
   0.030 <0.001
GLSLAVIf - - 1.00 0.00
   (0.99-1.01) (0.00-0.01)
   0.960 0.245
  1. aConfidence interval, bGlobal longitudinal strain, cpro-atrial-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, Left atrial volume index
  3. B: Univariate and Multivariate logistic regression models (response: proANP)(Confounders: age, gender, body mass index, atrial fibrillation, creatinine, left atrial volume index)B: Univariate and Multivariate logistic regression models (response: proANP)(Confounders: age, gender, body mass index, atrial fibrillation, creatinine, left atrial volume index)