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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)