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.