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. 2020 Feb 18;10:2863. doi: 10.1038/s41598-020-59873-9

Table 2.

Multivariate logistic regression models for coronary heart disease (CHD), cardiovascular disease (CVD) and chronic heart failure (CHF) using soft tissue nonlinear trimodal regression analysis parameters from CT images of the mid-thigh.

Tissue: NTRA: Outcome variable OR (95% CI):
CHD*** CVD*** CHF***
Fat Amplitude: N 0.987*** (0.984–0.991) 0.989*** (0.986–0.993) 0.986*** (0.979–0.993)
Location: μ 0.999 (0.983–1.01) 1.01 (0.992–1.02) 1.05*** (1.03–1.08)
Width: σ 0.993 (0.966–1.02) 0.984 (0.958–1.011) 0.927* (0.868–0.981)
Skewness: α 1.03 (0.966–1.11) 1.01 (0.950–1.08) 0.898 (0.788–1.02)
Connective Amplitude: N 1.03*** (1.02–1.04) 1.03*** (1.02–1.04) 1.04*** (1.02–1.06)
Location: μ 1.01* (1.00–1.01) 1.01* (1.00–1.01) 0.999 (0.988–1.01)
Width: σ 0.970** (0.952–0.988) 0.972** (0.955–0.989) 0.935*** (0.900–0.971)
Muscle Amplitude: N 1.00 (0.998–1.01) 1.00 (0.996–1.00) 0.982*** (0.973–0.990)
Location: μ 0.997 (0.971–1.02) 0.986 (0.962–1.01) 0.937** (0.895–0.981)
Width: σ 1.05 (0.997–1.11) 1.05 (0.998–1.10) 1.11* (1.02–1.19)
Skewness: α 1.00 (0.892–1.13) 1.02 (0.915–1.14) 0.953 (0.791–1.14)

Notes: For each model, sex and age yielded strong significance (p < 0.001) as corrected confounders.

*p < 0.05; **p < 0.01; ***p < 0.001.