Effects of different blood pressure variables and their variabilities on the development of diabetic nephropathy in patients with type 2 diabetes mellitus
10.3760/cma.j.cn311282-20200604-00414
- VernacularTitle:不同血压变量及其变异性对2型糖尿病肾病的影响
- Author:
Xue CHEN
1
;
Qianqian ZHOU
;
Huijun XU
;
Xiaodan YUAN
;
Chao LIU
;
Taojun LI
;
Qingqing LOU
Author Information
1. 江苏护理职业学院，淮安 223023
- Keywords:
Diabetic nephropathy;
Systolic blood pressure variability;
Pulse pressure variability;
Diabetes mellitus, type 2
- From:
Chinese Journal of Endocrinology and Metabolism
2021;37(7):624-630
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To analyze the effects of different blood pressure variables and their variabilities on diabetic nephropathy(DN)in patients with type 2 diabetes.Methods:This prospective cohort study included 3 050 type 2 diabetic patients without DN at baseline from Lee′s clinic in Taiwan, China. The metabolic parameters of patients were regularly checked, and urine albumin creatinine ratio(UACR)were evaluated annually. The average follow-up period was 7 years(3-10 years). The means and standard deviations(SD)of systolic blood pressure(SBP), diastolic blood pressure(DBP), pulse pressure(PP), and mean arterial pressure(MAP)were calculated. According to whether SBP-Mean was higher or lower than 130 mmHg(1 mmHg=0.133 kPa) and SBP-SD was higher or lower than 11.06 mmHg(average SBP-SD), these patients were divided into four groups: Q1(SBP-Mean<130 mmHg, SBP-SD<11.06 mmHg); Q2(SBP-Mean<130 mmHg, SBP-SD≥11.06 mmHg); Q3(SBP-Mean≥130 mmHg, SBP-SD<11.06 mmHg); Q4(SBP-Mean≥130 mmHg, SBP-SD≥11.06 mmHg). In the same way, according to whether PP-Mean was higher or lower than 80 mmHg(average PP-Mean)and PP-SD was higher or lower than 6.48 mmHg(average PP-SD), the patients were divided into Q1-Q4 groups.Results:After adjusting age, sex, and diabetes duration, Cox regression analysis showed that SBP-Mean, SBP-SD, PP-Mean, and PP-SD were the risk factors of DN. After the stratification according to SBP-Mean and SBP-SD, the patients in Q4 group( HR=1.976, P<0.001)had the highest risk while those in Q1 group displayed the lowest risk for DN. Additionally, the patients in Q3 group( HR=1.614, P<0.001)imposed a higher risk than that in Q2 group( HR=1.408, P<0.001). By stratificating the patients based on PP-Mean and PP-SD, the patients in Q4 group revealed the highest risk of DN( HR=1.370, P<0.001)while those in Q1 group had the lowest risk. In addition, the patients in Q3 group( HR=1.266, P<0.001)had a higher risk of DN compared with those in Q2 group( HR=1.212, P<0.001). Conclusion:SBP and PP variabilities are the predictors of DN in patients with type 2 diabetes.
