| Autor: |
Jian-Chao Li, Jun Tian, Shou-Ling Wu, Zhi-Jun Wang, Xiao-Fei Zhang, Dao Jia, Rong-Jing Ding, Xiong-Fu Xiao, Yu-Bo Fan, Da-Yi Hu |
| Jazyk: |
angličtina |
| Rok vydání: |
2018 |
| Předmět: |
|
| Zdroj: |
Chinese Medical Journal, Vol 131, Iss 10, Pp 1199-1205 (2018) |
| Druh dokumentu: |
article |
| ISSN: |
0366-6999 |
| DOI: |
10.4103/0366-6999.231528 |
| Popis: |
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 |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
|
