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. 2013 Jan 9;14:4. doi: 10.1186/1471-2369-14-4

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.