ArticleChinese medical journal2018
Effect of Long-Term Systolic Blood Pressure Trajectory on Kidney Damage in the Diabetic Population: A Prospective Study in a Community-Based Chinese Cohort.
Article in Chinese medical journal, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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4 citing papers in PubMed, 8 citations in OpenAlex.
- Sex-specific medication trajectories in older adults newly diagnosed with diabetes.Exploratory research in clinical and social pharmacy · 2023Article
- Great diversity in the utilization and reporting of latent growth modeling approaches in type 2 diabetes: A literature review.Heliyon · 2022Review
- Effect of blood pressure trajectory and variability on new-onset chronic kidney disease in patients with type 2 diabetes.Hypertension research : official journal of the Japanese Society of Hypertension · 2022Article
- Unstably controlled systolic blood pressure trajectories are associated with markers for kidney damage in prediabetic population: results from the INDEED cohort study.Journal of translational medicine · 2020Article
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10 authors at 4 institutions in 1 country.
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Abstract
backgroundPrevious 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.
methodsThis 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.
resultsWe 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
conclusionAn elevated stable SBP trajectory is an independent risk factor for kidney damage in the diabetic population.
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