Table 2

Baseline serum bicarbonate level correlated with other factors
  Univariate linear regression analysis   Multiple linear regression analysis
Difference in serum bicarbonate level p Difference in serum bicarbonate level p
Age (years) −0.02 0.64
Female (%) 1.16 0.06 0.80 0.13
Diabetes mellitus (%) 1.35 0.03 1.28 0.033
Hypertension (%) 1.67 0.006 0.63 0.27
BMI (kg/m2) −0.045 0.73
eGFR 0.13 0.0001 0.094 0.0001
Albumin level (g/dl) 0.44 0.61
Sodium level (mEq/l) 0.23 0.08 0.07 0.52
Potassium level (mEq/l) −1.66 0.0045 0.035 0.95
24-hour urine protein excretion level (g/day) −0.58 0.049 −0.22 0.40
RAAS inhibitor (%) 1.59 0.08
Loop diuretic use (%) −0.64 0.31
Sodium bicarbonate use (%) −2.70 0.0002 −1.18 0.10

Values are expressed as differences in serum bicarbonate level (estimated parameter) and p values. Multiple linear regression analysis variables include gender, diabetes, hypertension, eGFR, sodium level, potassium level, 24-hour urine protein excretion level, and sodium bicarbonate use.

Abbreviations: BMI Body mass index, eGFR Estimated glomerular filtration rate, RAAS Renin angiotensin aldosterone system.

Kanda et al.

Kanda et al. BMC Nephrology 2013 14:4   doi:10.1186/1471-2369-14-4

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