Table 4.
logistic regression analysis for the association of renal indicators and cerebral microbleeds
| |
|
|
|
Model 1
†
|
|
|
Model 2
‡
|
|
|
|
|
|
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Variables | Unadjusted OR | 95% CI | p | Adjusted OR | 95% CI | p | Adjusted OR | 95% CI | p | Adjusted OR | p | |
| Log-Cystatin C, per SD* |
1.37 |
1.18-1.59 |
<0.01 |
1.30 |
1.05-1.69 |
0.02 |
1.27 |
1.04-1.61 |
0.02 |
1.73 |
1.82-3.08 |
<0.01 |
| Log-albumin/Creatinine, per SD |
0.90 |
0.81-1.01 |
0.08 |
0.90 |
0.82-1.03 |
0.93 |
|
|
|
1.00 |
0.87-1.14 |
0.96 |
| Estimated GFR*, per SD | 1.01 | 0.64-0.91 | <0.01 | 1.01 | 0.82-1.30 | 0.80 | 1.01 | 0.80-1.27 | 0.86 |
*SD; standard deviation, GFR; glomerular filtration rate.
†Model 1: Estimated GFR and log transformed cystatin C, and microalbumin/creatinine ratios were analyzed separately in an individual ordinal logistic model.
‡Model 2: the first ordinal logistic regression analysis was performed using log transformed value of cystatin C and estimated GFR together. The second model used log transformed values of cystatin C and microalbumin/creatinine ratios as variables. All models were adjusted for covariates: age, sex, total cholesterol, diabetes, hypertension, dyslipidemia, previous heart disease, smoking, previous anti thrombotic or anticoagulant use, and white matter lesions.