Effect of Long-Term Systolic Blood Pressure Trajectory on Kidney Damage in the Diabetic Population: A Prospective Study in a Community-Based Chinese Cohort

被引:6
|
作者
Li, Jian-Chao [1 ]
Tian, Jun [2 ]
Wu, Shou-Ling [3 ]
Wang, Zhi-Jun [2 ]
Zhang, Xiao-Fei [4 ]
Jia, Dao [2 ]
Ding, Rong-Jing [5 ]
Xiao, Xiang-Fu [1 ]
Fan, Yu-Bo [1 ]
Hu, Da-Yi [5 ]
机构
[1] Beihang Univ, Sch Biol Sci & Med Engn, Beijing 100083, Peoples R China
[2] North China Univ Sci & Technol, Affiliated Hosp, Dept Cardiol, Tangshan 063004, Hebei, Peoples R China
[3] North China Univ Sci & Technol, Kailuan Hosp, Dept Cardiol, Tangshan 063001, Hebei, Peoples R China
[4] Beijing Tsinghua Changgung Hosp, Dept Clin Epidemiol & Biostat, Beijing 102218, Peoples R China
[5] Peking Univ, Dept Cardiol, Peoples Hosp, Beijing 100044, Peoples R China
关键词
Blood Pressure Trajectory; Diabetes with Hypertension; Kidney Damage; Longitudinal Data; Trajectory Model; GLOMERULAR-FILTRATION-RATE; GENERAL-POPULATION; DISEASE; HYPERTENSION; OUTCOMES; RISK; MICROALBUMINURIA; ATHEROSCLEROSIS; VARIABILITY; WATARI;
D O I
10.4103/0366-6999.231528
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Background: Previous studies have shown that hypertension is an important factor contributing to the occurrence and progression of diabetic kidney damage. However, the relationship between the patterns of blood pressure (BP) trajectory and kidney damage in the diabetic population remains unclear. This prospective study investigated the effect of long-term systolic BP (SBP) trajectory on kidney damage in the diabetic population based on an 8-year follow-up community-based cohort. Methods: This study included 4556 diabetic participants among 101,510 participants. BP, estimated glomerular filtration rate (eGFR), and urinary protein were measured every 2 years from 2006 to 2014. SBP trajectory was identified by the censored normal modeling. Five discrete SBP trajectories were identified according to SBP range and the changing pattern over time. Kidney damage was evaluated through eGFR and urinary protein value. A multivariate logistic regression model was used to analyze the influence of different SBP trajectory groups on kidney damage. Results: We identified five discrete SBP trajectories: low-stable group (n = 864), moderate-stable group (n = 1980), moderate increasing group (n = 609), elevated decreasing group, (n = 679), and elevated stable group (n = 424). The detection rate of kidney damage in the low-stable group (SBP: 118-124 mmHg) was the lowest among the five groups. The detection rate of each kidney damage index was higher in the elevated stable group (SBP: 159-172 mmHg) compared with the low-stable group. For details, the gap was 4.14 (11.6% vs. 2.8%) in eGFR <60 ml.min(-1).1.73 m 2 and 3.66 (17.2% vs. 4.7%), 3.38 (25.0% vs. 7.4%), and 1.8 (10.6% vs. 5.9%) times in positive urinary protein, eGFR <60 ml.min(-1).1.73 M -2 and/or positive urinary protein, and eGFR decline >= 30%, respectively (P < 0.01). Conclusion: An elevated stable SBP trajectory is an independent risk factor for kidney damage in the diabetic population.
引用
收藏
页码:1199 / 1205
页数:7
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