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Table 7 Competing risk parametric utilizing multivariable Bayesian Weibull AFT regression

From: Analysis of the survival time of patients with heart failure with reduced ejection fraction: a Bayesian approach via a competing risk parametric model

Characteristic

HF-related mortality (n = 160)

Non-HF related mortality (n = 97)

 

Time Ratio (95%CI)

Time Ratio (95%CI)

Demographic variables

  

 Age (Trend effect)

0.98 (0.96–0.99)

0.99 (0.97–1.01)

Disease symptoms variables

  

 Chest Pain (Yes)

0.41 (0.10–0.96)

0.38 (0.12–0.86)

 Temperature (degrees Celsius)

  

   < 36

0.62 (0.33–1.13)

 

   36-37.5

base

NC

   > 37.5

2.80 (0.83–7.90)

 

Clinical variables

  

 History Hypertension (Yes)

NC

0.91 (0.57–1.37)

 CAD (Yes)

NC

0.65 (0.38–0.98)

 History HyperLipidemia (Yes)

0.34 (0.13–0.64)

0.60 (0.37–0.90)

 CKD (Yes)

NC

0.52 (0.28–0.87)

 AF (Yes)

NC

0.53 (0.32–0.81)

 ADHF

0.11 (0.01–0.44)

NC

  1. CI Confidence interval and bold P-values indicate significant differences
  2. NC Not computable