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Table 4 Statistical significant determinants of complex ventricular ectopy, separate models for the 3 cardiovascular biomarkers. Multivariate logistic regression model, n = 498

From: Biomarkers of cardiovascular injury and stress are associated with increased frequency of ventricular ectopy: a population-based study

 

Model 1

OR (95% CI)

P

Model 2

OR (95% CI)

P

Model 3

OR (95% CI)

P

Model 4

OR (95% CI)

P

Age

1.06 (1.02–1.10)

0.003

1.06 (1.02–1.10)

0.007

1.04 (0.99–1.08)

0.091

1.06 (1.02–1.10)

0.003

History of coronary artery disease

2.48 (1.14–5.39)

0.022

2.29 (1.02–5.14)

0.044

1.49 (0.63–3.56)

0.365

2.50 (1.14–5.46)

0.022

Systolic blood pressure (mmHg)

1.02 (1.00–1.04)

0.033

1.02 (1.00–1.04)

0.057

1.02 (1.00–1.04)

0.037

1.02 (1.00–1.04)

0.034

AHI (events/h)

1.20 (0.95–1.51)

0.130

1.18 (0.93–1.50)

0.165

1.25 (0.98–1.58)

0.072

1.19 (0.94–1.51)

0.149

log hs-CRP (mg/L)

      

1.04 (0.76–1.44)

0.801

log NT-proBNP (pg/mL)

    

1.81 (1.27–2.57)

0.001

  

log hs-TnI (ng/L)

  

1.18 (0.76–1.81)

0.467

    
  1. hs-CRP, NT-proBNP and hs-TnI were transformed by logarithm before regression analysis
  2. AHI apnea-hypopnea index, CI confidence interval, hs-CRP high-sensitive C-reactive protein, hs-TnI high-sensitive cardiac Troponin I, NT-proBNP N-terminal proB-type natriuretic peptide, OR odds ratio