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. 2022 May 6;24(6):750–759. doi: 10.1111/jch.14492

TABLE 3.

Association of the risk of CKD with PRA

Model Covariates in model Each SD increment in log‐PRA High PRA (vs low PRA)
HR 95% CI P value HR 95% CI P value
1 Age, SBP, Duration of HTN, HbA1c, GMD type, BUN, UA, K+, log‐PAC, Hypoglycemic therapy, Anti‐hypertensive agents 1.122 1.000‐1.259 .050 1.562 1.175‐2.078 .002
2 Model 1 + Sex, Ethnic, Drinking, TC, HDL‐C, baseline eGFR 1.135 1.010‐1.275 .033 1.604 1.203‐2.138 .001
3 Model 2 + smoking, DBP, TG, LDL‐C (Full‐adjusted) 1.144 1.017‐1.286 .025 1.619 1.213‐2.160 .001

Results were derived from Cox proportional‐hazards model. Model 1 included variables with P < .1 in univariate Cox analysis. Model 2 was a combination of univariate and LASSO regression. Model 3 adjusted for all factors. CKD, chronic kidney disease; PRA, plasma renin activity; HTN, hypertension; SBP, systolic blood pressure; DBP, diastolic blood pressure; HbA1c, glycated hemoglobin; TC, total cholesterol; TG, triglyceride; HDL‐C, high‐density lipoprotein cholesterol; LDL‐C, low density lipoprotein cholesterol; BUN, blood urea nitrogen; UA, uric acid; eGFR, estimated glomerular filtration rate; PAC, plasma aldosterone concentration; ACEI, angiotensin‐converting‐enzyme inhibitors; ARB, angiotensin receptor blockers; CCB, calcium channel blockers.