A risk prediction model for renal damage in a hypertensive Chinese Han population.
Conclusion: Eleven indicators (including sex, age, smoking history, drinking history, coronary heart disease, diabetes history, C-reactive protein, CystatinC, β2-microglobulin protein, blood pressure type, renal artery resistance index) may be the risk factors of renal damage in hypertension. Our regression equation provides a feasible means of predicting renal damage in Chinese hypertensive populations, and the model showed good predictive power. In addition, estrogen may confer a protective effect on the kidney.
ABBREVIATIONS: PCA: principal component analysis; SLPs: synthetic latent predictors; CKD: chronic kidney disease; RRI: renal artery resistance index; MLR: multivariate logistic regression; CHD: coronary heart disease; UACR: urine trace albumin/uric creatinine ratio; CysC: CystatinC; TG: Triglyceride; CHO: cholesterol; HDL: high-density lipoprotein cholesterol; LDL: low-density lipoprotein cholesterol; CRP: C-reactive protein; HCY: homocysteine; UA: uric acid; AUC: area under the ROC curve; CVE: cardiovascular events; RFF: renal function related factor; PHF: personal history related factor; CVF: cardiovascular factor; GMF: glucose metabolism factor; IF: inflammatory factor; BPF: blood pressure factor.
PMID: 30299171 [PubMed - as supplied by publisher]
Source: Clinical and Experimental Hypertension - Category: Cardiology Authors: Lin J, Xu R, Yun L, Hou Y, Li C, Lian Y, Zheng F Tags: Clin Exp Hypertens Source Type: research
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