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. Author manuscript; available in PMC: 2018 May 1.
Published in final edited form as: Circ Heart Fail. 2017 May;10(5):e003536. doi: 10.1161/CIRCHEARTFAILURE.116.003536

Table 3. Association of cardiometabolic traits and synchrony measures.

Longitudinal segmental synchrony Transverse segmental synchrony
estimate (s.e.) P estimate (s.e.) P
Primary traits
Body mass index 0.02 (0.005) 0.003 0.01 (0.006) 0.11
Triglycerides -0.003 (0.005) 0.59 -0.003 (0.006) 0.63
HOMA-IR 0.02 (0.008) 0.05 0.02 (0.009) 0.05
C-reactive protein 0.0003 (0.005) 0.96 -0.006 (0.006) 0.31
Secondary traits
Waist circumference 0.03 (0.01) 0.006 0.01 (0.01) 0.42
Fasting glucose -0.008 (0.006) 0.20 -0.01 (0.007) 0.09
HDL cholesterol -0.007 (0.006) 0.21 -0.02 (0.007) 0.008
Diabetes mellitus 0.08 (0.02) <0.0001 0.05 (0.02) 0.02
Adiponectin 0.0006 (0.005) 0.90 0.004 (0.006) 0.54
Leptin 0.01 (0.007) 0.15 0.01 (0.008) 0.07
Leptin receptor -0.001 (0.004) 0.76 -0.006 (0.005) 0.20
Aldosterone/renin ratio 0.006 (0.004) 0.14 -0.007 (0.005) 0.14

Beta estimate represents the change in echo variable (synchrony expressed in ms) per 1-standard deviation change in continuous clinical traits, and for the presence versus absence of dichotomous traits. Multivariable model adjusted for age, sex, body mass index, heart rate, systolic blood pressure, hypertension treatment, diabetes mellitus, HDL cholesterol, triglyceride concentrations. Biomarkers are log-transformed.