Table 2.

Results from linear regression models predicting shortening fraction (SF) and mid-wall shortening fraction (mwSF) with covariates C24:0L and C16:0L

Covariates	SF model			mwSF model
	Estimate	SE	p	Estimate	SE	p
Covariate C24:0L
Intercept	95.44	14.99	<0.001	49.15	8.58	<0.001
Log10 C24:0L	−11.7	2.53	<0.001	−5.24	1.45	<0.001
Age (years)	0.11	0.15	0.46	0.01	0.09	0.89
GFR (ml/min/1.73 m2)	0.01	0.04	0.74	0.00	0.02	0.99
BMI z-score	0.81	0.61	0.19	0.43	0.35	0.23
LVMI (g/m2.7)	−0.11	0.10	0.30	−0.12	0.06	0.05
Anemia	4.26	1.92	0.03	1.67	1.10	0.13
Serum albumin (mg/dl)	0.25	1.84	0.89	−0.11	1.05	0.92
SBP z-score	0.90	0.66	0.18	0.16	0.38	0.68
Covariate C16:0L
Intercept	99.94	19.66	<0.001	50.74	10.95	<0.001
Log10 C16:0L	−8.67	2.54	0.001	−3.81	1.42	0.009
Age (years)	0.15	0.16	0.38	0.02	0.09	0.80
GFR (ml/min/1.73 m2)	0.00	0.04	0.95	−0.01	0.02	0.82
BMI z-score	0.76	0.66	0.25	0.41	0.37	0.27
LVMI (g/m2.7)	−0.08	0.11	0.48	−0.11	0.06	0.09
Anemia	2.44	2.00	0.23	0.87	1.12	0.44
Serum albumin (mg/dl	−1.35	2.00	0.50	−0.80	1.11	0.48
SBP z-score	0.75	0.71	0.29	0.09	0.40	0.82

GFR, glomerular filtration rate; BMI, body mass index; SBP, systolic blood pressure; LVMI, left ventricular mass index