Table 5. Multiple linear regression for uric acid levels predictors the total sample population (n = 992).
β | t | p | |
Constant | 10.10 | <0.0001 | |
Gender (men) | 0.36 | 12.23 | <0.0001 |
Creatinine | 0.21 | 7.04 | <0.0001 |
Triglycerides | 0.18 | 7.18 | <0.0001 |
BMI>26.8 kg/m2 | 0.13 | 5.03 | <0.0001 |
SBP | 0.11 | 4.30 | <0.0001 |
Minimum SpO2 | − 0.10 | − 3.82 | <0.0001 |
Potassium | − 0.06 | − 2.61 | <0.01 |
SBP = systolic blood pressure; SpO2 = oxyhemoglobin saturation; BMI = body mass index.