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. 2017 Dec;11(12):811–822.e2. doi: 10.1016/j.jash.2017.10.003

Table S2.

Association of baseline and rate of increase in eGFR (mL/min/1.73 m2) and UACR (mg/g) with LVMI (g/m2) in individuals without heart disease (n = 475) from multiple regression

Variables Without Heart Disease N = 475
β-Coefficient 95% (CI) P Value
Baseline eGFR −0.12 (−0.24, 0.01) .06
Baseline UACR 2.29 (0.80, 3.77) .003
Gender (female) −1.96 (−5.90, 1.98) .33
BMI 0.31 (−0.02, 0.65) .06
Baseline SBP 0.30 (0.18, 0.42) <.001
SBP change 0.26 (0.16, 0.36) <.001
Rate of increase in eGFR −1.04 (−2.00, −0.09) .03
Rate of increase in UACR .05
 <0.14 Reference
 0.14–1.07 2.86 (−1.05, 6.77) .15
 ≥1.07 4.60 (0.87, 8.33) .02

BMI, body mass index; CI, confidence interval; eGFR, estimated glomerular filtration rate; LVMI, left ventricular mass index; SBP, systolic blood pressure; UACR, urine albumin-to-creatinine ratio.

Analysis was based on model 6 including all covariates and accounted for clustering effect by household as a random effect.

Change in SBP was calculated using SBP at year 7 minus baseline SBP.

Rate of increase in eGFR = (eGFR at year 7 − eGFR at baseline)/duration of follow-up (in y).

Rate of increase in UACR = (UACR at year 7 − UACR at baseline)/duration of follow-up (in y).