Table 3.
Results for linear regression models showed no significant interaction between estimated glomerular filtration rate and the DASH diet.
| Beta Estimate (SE) | 95% CI for Beta | |
|---|---|---|
| Δ SBP (mmHg) | ||
| eGFR | −0.01 (0.07) | −0.15, 0.13 |
| DASH | −2.07 (8.63) | −19.22, 15.08 |
| eGFR×DASH | 0.02 (0.10) | −0.18, 0.22 |
| Δ DBP (mmHg) | ||
| eGFR | 0.03 (0.05) | −0.07, 0.13 |
| DASH | −3.81 (5.76) | −15.26, 7.64 |
| eGFR×DASH | 0.03 (0.07) | −0.11, 0.17 |
| Δ phosphorus (mg/dl) | ||
| eGFR | 0.005 (0.005) | −0.005, 0.015 |
| DASH | 0.57 (0.52) | −0.46, 1.60 |
| eGFR × DASH | 0.01 (0.01) | −0.01, 0.03 |
| Δ iPTH (pg/ml) | ||
| eGFR | −0.13 (0.15) | −0.43, 0.17 |
| DASH | 12.66 (16.06) | −19.31, 44.63 |
| eGFR×DASH | −0.19 (0.19) | −0.57, 0.19 |
| Δ creatinine (mg/dl) | ||
| eGFR | 0.004 (0.010) | −0.016, 0.024 |
| DASH | 0.22 (0.43) | −0.64, 1.08 |
| eGFR×DASH | 0.002 (0.005) | −0.008, 0.012 |
| Δ eGFR (ml/min/1.73 m2) | ||
| eGFR | −0.30 (0.15) | −0.60, 0.00 |
| DASH | 2.44 (15.83) | −29.03, 33.91 |
| eGFR×DASH | 0.08 (0.18) | −0.28, 0.44 |
| Δ UACR (mg/g) | ||
| eGFR | 0.35 (0.25) | −0.15, 0.85 |
| DASH | −6.50 (28.69) | −63.72, 50.72 |
| eGFR×DASH | 0.14 (0.33) | −0.52, 0.80 |
All models were adjusted for site, intervention period, baseline eGFR, and each respective baseline measure. SBP and DBP were additionally adjusted for race, gender, age and body mass index. SBP, systolic blood pressure; DBP, diastolic blood pressure; PTH, parathyroid hormone; CKD, chronic kidney disease; eGFR, estimated glomerular filtration rate; UACR, urine albumin-to-creatinine ratio