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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