Table 4. Multivariate linear regression analysis between 24h-BP, BP load and organ damage respectively in non-diabetic patients without hypertension.
| LVMI â (95%CI) | cIMT â (95%CI) | Lg(eGFR) â (95%CI) | Lg(Pro) â (95%CI) | |
|---|---|---|---|---|
| Model 1 | ||||
| 24-h SBP | 0.187 (0.217–0.744) ** | 0.129 (0.000–0.006) * | - | 0.076(0.001–0.009)* |
| 24-h DBP | - | - | -0.083 (-0.011–0.002) ** | - |
| Model 2 | ||||
| Daytime SBP load (%) | - | - | - | - |
| Daytime DBP load (%) | - | - | - | - |
| Nighttime SBP load (%) | 0.224 (0.101–0.364) ** | 0.178(0.000–0.003) * | - | 0.137(0.001–0.004)** |
| Nighttime DBP load (%) | - | - | -0.082 (-0.002–0.000) * | |
| Model 3 | ||||
| Daytime SBP load (%) | - | - | - | - |
| Daytime DBP load (%) | - | - | - | - |
| Nighttime SBP load (%) | 0.238 (0.105–0.355)** | 0.055 (-0.001–0.002) | - | 0.144(0.001–0.004)* |
| Nighttime DBP load (%) | - | - | -0.071 (-0.003–0.000) | - |
| R2, % | 0.034 | 0.002 | 0.001 | 0.012 |
| P Value | <0.001 | 0.424 | 0.300 | 0.006 |
(age, sex(female/male), Current smoker(N/Y), Alcohol intake(N/Y), ALB, LDL-C, Cholesterol, Hemoglobin, Ca, P, eGFR were adjusted to analysis the relationship between LVMI and 24h-BP (model 1) and the relationship between LVMI and BP load (model 2); Age, sex(female/male), Current smoker(N/Y), Alcohol intake(N/Y), ALB, eGFR, BMI were adjusted to analysis the relationship between cIMT and 24h-BP (model 1) and the relationship between cIMT and BP load (model 2); Age, sex(female/male), Current smoker(N/Y), Alcohol intake(N/Y), ALB, LDL-C, Cholesterol, Hemoglobin, Ca, P were adjusted to analysis the relationship between eGFR and 24h-BP (model 1) and the relationship between eGFR and BP load (model 2); Age, sex(female/male), Current smoker(N/Y), Alcohol intake(N/Y), LDL-C were were adjusted to analysis the relationship between proteinuria and 24h-BP (model 1) and the relationship between proteinuria and BP load (model 2). Model 3 include the aforementioned covariables and both 24h-BP and BP load which p<0.05 in model 1 and model 2. R2 and P value indicates the R2 change and significance respectively comparing the model including the 24-h BP (p<0.05 in model 1) and covariables and a model additionally including BP load (p<0.05 in model 2).
(BMI: body mass index; CI, confidence interval; CIMT: carotid intima-media thickness; DM: diabetes mellitus; SBP: systolic blood pressure; DBP: diastolic blood pressure; Lg(eGFR): Lg transformation for estimated glomerular filtration rate; Lg(Pro): Lg transformation for proteinuria; iPTH: intact parathyroid hormone; LDL-C: low-density lipoprotein cholesterol; LVMI: left ventricular mass index.)
* indicates p<0.05.
** indicates p<0.01.