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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)