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. 2015 Oct 14;10(10):e0140402. doi: 10.1371/journal.pone.0140402

Table 2. Simple linear regression analysis using muscle mass (SMM or ASM) as dependent variable in 111 HD subjects 1 .

SMM ASM
β 95% CI R2 P value β 95% CI R2 P value
Univariate significant
n-3 PUFA intake, g/day 1.160 0.396 to 1.924 0.077 0.003 1.043 0.419 to 1.667 0.091 0.001
Ratio of n-6/n-3 PUFA, g/day -0.161 -0.315 to -0.007 0.038 0.041 -0.162 -0.287 to -0.036 0.057 0.012
BMI, kg/m2 0.721 0.467 to 0.976 0.225 < .0001 0.576 0.365 to 0.788 0.211 < .0001
Creatinine, mg/dL 1.257 0.797 to 1.717 0.212 < .0001 1.011 0.629 to 1.393 0.201 < .0001
eKt/V -11.014 -13.561 to -8.468 0.402 < .0001 -9.052 -11.155 to -6.949 0.395 < .0001
Nonsignificant relevant covariates
Dialysis vintage, year -0.183 -0.377 to 0.012 0.031 0.066 -0.155 -0.315 to 0.006 0.032 0.059
HOMA-IR 0.124 -0.075 to 0.323 0.014 0.220 0.104 -0.060 to 0.268 0.014 0.213
hs CRP, mg/dL 1.092 -0.236 to 2.420 0.023 0.106 1.080 -0.009 to 2.169 0.034 0.052

Abbreviations: SMM, skeletal muscle mass; ASM, appendicular skeletal muscle mass; HD, hemodialysis; BMI, body mass index; PUFA, polyunsaturated fatty acid; eKt/V: equilibrated Kt/V; HOMA-IR, homoeostasis model assessment-estimated insulin resistance; hs CRP, high-sensitivity C reactive protein; CI, confidence interval

1β refers to the regression coefficient that demonstrated the change in muscle mass per kg change in the exposure variable