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. 2015 Aug 20;15:92. doi: 10.1186/s12872-015-0063-8

Table 4.

Univariate and multivariate logistic regression models

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 proANP c 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
GLS BMI d - - 0.96 −0.02
(0.88-1.05) (−0.05-0.00)
0.402 0.097
GLS AF e - - 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
GLS LAVI f - - 1.00 0.00
(0.99-1.01) (0.00-0.01)
0.960 0.245

aConfidence interval, bGlobal longitudinal strain, cpro-atrial-natriuretic-peptide, dBody mass index, eAtrial fibrillation, fLeft atrial volume index

Confounders included in the multivariate logistic regression models: Age, gender, atrial fibrillation, body-mass-index, 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)B: Univariate and Multivariate logistic regression models (response: proANP)(Confounders: age, gender, body mass index, atrial fibrillation, creatinine, left atrial volume index)