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. 2020 Aug 5;31(9):2133–2144. doi: 10.1681/ASN.2020010084

Table 5.

HRs for CKD development according to time-updated SBP

SBP Model 1 Model 2 Model 3 Model 4
HR (95% CI) P Value for Trenda HR (95% CI) P Value for Trenda HR (95% CI) P Value for Trenda HR (95% CI) P Value for Trenda
Continuous SBP
 Per 10-mm Hg increase 1.39 (1.31 to 1.49) 1.09 (1.01 to 1.17) 1.10 (1.03 to 1.20) 1.11 (1.03 to 1.20)
Categorical SBP, mm Hg
 <100 0.68 (0.50 to 0.94) <0.001 1.00 (0.73 to 1.39) 0.009 0.92 (0.66 to 1.27) 0.001 0.91 (0.66 to 1.26) 0.001
 100–119 1.00 1.00 1.00 1.00
 120–129 1.60 (1.33 to 1.93) 1.12 (0.93 to 1.36) 1.19 (0.98 to 1.44) 1.19 (0.98 to 1.44)
 130–139 2.22 (1.75 to 2.80) 1.27 (0.99 to 1.62) 1.32 (1.03 to 1.68) 1.33 (1.04 to 1.70)
 ≥140 3.65 (2.46 to 5.41) 1.65 (1.10 to 2.48) 1.89 (1.26 to 2.83) 1.90 (1.27 to 2.85)

CKD was defined as two consecutive occurrences of eGFR<60 ml/min per 1.73 m2 during follow-up. SBP, antihypertensive drug use, BMI, HDL-C, and HOMA-IR score were considered as time-varying covariates. Model 1: unadjusted. Model 2: adjusted for age, sex, BMI, SBP, education, income, alcohol drinking, and smoking history. Model 3: model 2 + HDL-C, serum albumin, C-reactive protein, and baseline eGFR. Model 4: model 3 + HOMA-IR score, physical activity, dietary sodium-potassium intake ratio, and dietary total energy consumption.

a

Tests of trend were conducted by assessing the statistical significance across categorical SBP groups as an ordinal variable.