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

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. Th...

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Autores principales: Li, Jian-Chao, Tian, Jun, Wu, Shou-Ling, Wang, Zhi-Jun, Zhang, Xiao-Fei, Jia, Dao, Ding, Rong-Jing, Xiao, Xiong-Fu, Fan, Yu-Bo, Hu, Da-Yi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Medknow Publications & Media Pvt Ltd 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5956771/
https://www.ncbi.nlm.nih.gov/pubmed/29722339
http://dx.doi.org/10.4103/0366-6999.231528
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author Li, Jian-Chao
Tian, Jun
Wu, Shou-Ling
Wang, Zhi-Jun
Zhang, Xiao-Fei
Jia, Dao
Ding, Rong-Jing
Xiao, Xiong-Fu
Fan, Yu-Bo
Hu, Da-Yi
author_facet Li, Jian-Chao
Tian, Jun
Wu, Shou-Ling
Wang, Zhi-Jun
Zhang, Xiao-Fei
Jia, Dao
Ding, Rong-Jing
Xiao, Xiong-Fu
Fan, Yu-Bo
Hu, Da-Yi
author_sort Li, Jian-Chao
collection PubMed
description 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.
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spelling pubmed-59567712018-06-01 Effect of Long-Term Systolic Blood Pressure Trajectory on Kidney Damage in the Diabetic Population: A Prospective Study in a Community-Based Chinese Cohort Li, Jian-Chao Tian, Jun Wu, Shou-Ling Wang, Zhi-Jun Zhang, Xiao-Fei Jia, Dao Ding, Rong-Jing Xiao, Xiong-Fu Fan, Yu-Bo Hu, Da-Yi Chin Med J (Engl) Original Article 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. Medknow Publications & Media Pvt Ltd 2018-05-20 /pmc/articles/PMC5956771/ /pubmed/29722339 http://dx.doi.org/10.4103/0366-6999.231528 Text en Copyright: © 2018 Chinese Medical Journal http://creativecommons.org/licenses/by-nc-sa/4.0 This is an open access journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms.
spellingShingle Original Article
Li, Jian-Chao
Tian, Jun
Wu, Shou-Ling
Wang, Zhi-Jun
Zhang, Xiao-Fei
Jia, Dao
Ding, Rong-Jing
Xiao, Xiong-Fu
Fan, Yu-Bo
Hu, Da-Yi
Effect of Long-Term Systolic Blood Pressure Trajectory on Kidney Damage in the Diabetic Population: A Prospective Study in a Community-Based Chinese Cohort
title Effect of Long-Term Systolic Blood Pressure Trajectory on Kidney Damage in the Diabetic Population: A Prospective Study in a Community-Based Chinese Cohort
title_full Effect of Long-Term Systolic Blood Pressure Trajectory on Kidney Damage in the Diabetic Population: A Prospective Study in a Community-Based Chinese Cohort
title_fullStr Effect of Long-Term Systolic Blood Pressure Trajectory on Kidney Damage in the Diabetic Population: A Prospective Study in a Community-Based Chinese Cohort
title_full_unstemmed Effect of Long-Term Systolic Blood Pressure Trajectory on Kidney Damage in the Diabetic Population: A Prospective Study in a Community-Based Chinese Cohort
title_short Effect of Long-Term Systolic Blood Pressure Trajectory on Kidney Damage in the Diabetic Population: A Prospective Study in a Community-Based Chinese Cohort
title_sort effect of long-term systolic blood pressure trajectory on kidney damage in the diabetic population: a prospective study in a community-based chinese cohort
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5956771/
https://www.ncbi.nlm.nih.gov/pubmed/29722339
http://dx.doi.org/10.4103/0366-6999.231528
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