Table 5.
miRNA | Models: R2 (95% CI)a (χ2
P-value)b |
||||
---|---|---|---|---|---|
No covariates | BNP | Age and gender | BNP, age, and gender | ||
EFc | None | – | 0.10 (0.02–0.18) (P < 0.001) | 0.08 (0.01–0.15) (P < 0.001) | 0.21 (0.11–0.30) (P < 0.001) |
miR-146a | 0.05 (−0.01 to 0.11) | 0.13 (0.04–0.21) (P < 0.001) | 0.15 (0.06–0.24) (P < 0.001) | 0.25 (0.15–0.35) (P < 0.001) | |
miR-221 | 0.04 (−0.01 to 0.10) | 0.11 (0.03–0.19) (P < 0.001) | 0.17 (0.08–0.27) (P < 0.001) | 0.25 (0.15–0.35) (P < 0.001) | |
miR-328 | 0.04 (−0.01 to 0.09) | 0.11 (0.03–0.18) (P < 0.001) | 0.16 (0.07–0.26) (P < 0.001) | 0.24 (0.14–0.34) (P < 0.001) | |
miR-30c | 0.01 (−0.02 to 0.04) | 0.10 (0.02–0.18) (P < 0.001) | 0.10 (0.02–0.17) (P < 0.001) | 0.22 (0.12–0.31) (P < 0.001) | |
miR-375 | 0.01 (−0.01 to 0.03) | 0.11 (0.03–0.19) (P < 0.001) | 0.09 (0.02–0.17) (P < 0.001) | 0.22 (0.12–0.32) (P < 0.001) | |
LAVId | None | – | 0.41 (0.30–0.52) (P < 0.001) | 0.14 (0.05–0.23) (P < 0.001) | 0.42 (0.31– 0.53) (P < 0.001) |
miR-146a | 0.01 (−0.02–0.05) | 0.41 (0.30–0.52) (P < 0.001) | 0.15 (0.05–0.24) (P < 0.001) | 0.42 (0.31–0.53) (P < 0.001) | |
miR-221 | 0.04 (−0.02 to 0.10) | 0.41 (0.30–0.53) (P < 0.001) | 0.18 (0.08–0.28) (P < 0.001) | 0.42 (0.31–0.53) (P < 0.001) | |
miR-328 | 0.01 (−0.02 to 0.04) | 0.41 (0.30–0.52) (P < 0.001) | 0.16 (0.06–0.25) (P < 0.001) | 0.42 (0.31–0.53) (P < 0.001) | |
miR-30c | 0.00 (−) | 0.41 (0.30–0.52) (P < 0.001) | 0.13 (0.04–0.22) (P < 0.001) | 0.41 (0.30–0.52) (P < 0.001) | |
miR-375 | 0.00 (−) | 0.42 (0.30–0.53) (P < 0.001) | 0.14 (0.04–0.23) (P < 0.001) | 0.42 (0.31–0.53) (P < 0.001) |
CI, confidence interval LAVI, left atrial volume index; miRNA, microRNA.
95% CI = R2d ± t(0.975, n-k-1)SE. n = size of sample, k = number of predictors, Olkin–Finn method for estimating the SE.
χ2 test for difference on residual sum of squares compared with no-covariate model.
Linear model with full sample, outcome = EF2.
Linear model with full sample, outcome = log-transformed LAVI.