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Table 2 Multivariable Tobit linear regression for Log NT-proBNP as dependent variable

From: The influence of body composition on the N-terminal pro-B-type natriuretic peptide level and its prognostic performance in patients with acute coronary syndrome: a cohort study

 

β(SE)

P value

Model 1

 BMI (kg/m2)

−0.036 (0.012)

0.003

Model 2

 BMI (kg/m2)

0.046 (0.081)

0.575

 LMI (kg/m2)

−0.692 (0.218)

0.002

 BF (%)

0.154 (0.091)

0.091

Model 3

 BMI

  

  2nd BMI tertilea

−0.240 (0.089)

0.007

  3rd BMI tertilea

−0.259 (0.092)

0.005

Model 4

 BMI

  2nd BMI tertilea

0.023 (0.155)

0.882

  3rd BMI tertilea

0.098 (0.236)

0.680

 LMI

  2nd LMI tertilea

−0.384 (0.147)

0.009

  3rd LMI tertilea

−0.533 (0.213)

0.012

 BF

  2nd BF tertilea

0.024 (0.123)

0.845

  3rd BF tertilea

0.092 (0.193)

0.633

  1. BMI, LMI, and BF are considered as continuous variables in model 1 and model 2 and considered as categorical variables in model 3 and model 4
  2. Those models are adjusted for age, sex, LVEF, LVEDV, CKD-EPI, Killip >1, heart rate at admission, AMI, peak troponin, and previous MI
  3. Abbreviations as in Table 1
  4. a Reference is the 1st tertile