Literature DB >> 35236943

Effect of blood pressure trajectory and variability on new-onset chronic kidney disease in patients with type 2 diabetes.

Cheng-Chieh Lin1,2,3, Chia-Ing Li1,3, Chiu-Shong Liu1,2, Chih-Hsueh Lin1,2, Mu-Cyun Wang4, Shing-Yu Yang5, Tsai-Chung Li6,7.   

Abstract

This study aimed to evaluate the effects of BP trajectory and variability on chronic kidney disease (CKD) incidence in patients with type 2 diabetes. This retrospective longitudinal study included 4,560 participants with type 2 diabetes, aged ≥30 years, free of CKD, with ≥3 years of follow-up, and who attended the Diabetes Care Management Program in 2001-2013. The follow-up period ended in 2016. The adverse outcome was a new-onset CKD event, which was determined using eGFR and albuminuria. Cox proportional hazards models were used to assess the associations. At the end of the follow-up, 1255 participants had developed CKD, with a mean follow-up of 4.3 ± 3.2 years. Three trajectory subgroups of BP, i.e., Cluster 1: "moderate-stable" for SBP and "moderate-downward" for DBP, Cluster 2: "low-upward-downward" for both SBP and DBP, and Cluster 3: "high-downward-upward" for both SBP and DBP, were generated. The BP variability was grouped into three classes on the basis of tertiles. For the BP trajectory, patients in Cluster 3 of DBP had a higher CKD risk than those in Cluster 1 (HR = 1.24, 95% CI = 1.03-1.50). For the BP variability, patients in Tertile 3 had a significantly higher CKD risk than those in Tertile 1 (SBP: 1.28, 1.11-1.47; DBP: 1.17, 1.02-1.34). Persons with type 2 diabetes who achieved a small reduction in DBP after participating in the education program but rebounded and those who had the highest variation in both SBP and DBP faced the highest increase in CKD risk.
© 2022. The Author(s), under exclusive licence to The Japanese Society of Hypertension.

Entities:  

Keywords:  Blood pressure trajectory; Blood pressure variability; Chronic kidney disease; Type 2 diabetes

Mesh:

Year:  2022        PMID: 35236943     DOI: 10.1038/s41440-022-00882-8

Source DB:  PubMed          Journal:  Hypertens Res        ISSN: 0916-9636            Impact factor:   3.872


  22 in total

1.  Visit-to-visit blood pressure variability is related to albuminuria variability and progression in patients with type 2 diabetes.

Authors:  S Noshad; M Mousavizadeh; M Mozafari; M Nakhjavani; A Esteghamati
Journal:  J Hum Hypertens       Date:  2013-07-11       Impact factor: 3.012

2.  Epidemiology: The global burden of reduced GFR: ESRD, CVD and mortality.

Authors:  Shilpa Sharma; Mark J Sarnak
Journal:  Nat Rev Nephrol       Date:  2017-06-19       Impact factor: 28.314

3.  Prognostic Value of Variability in Systolic Blood Pressure Related to Vascular Events and Premature Death in Type 2 Diabetes Mellitus: The ADVANCE-ON Study.

Authors:  Toshiaki Ohkuma; Mark Woodward; Min Jun; Paul Muntner; Jun Hata; Stephen Colagiuri; Stephen Harrap; Giuseppe Mancia; Neil Poulter; Bryan Williams; Peter Rothwell; John Chalmers
Journal:  Hypertension       Date:  2017-06-05       Impact factor: 10.190

4.  Long-term blood pressure variability and development of chronic kidney disease in type 2 diabetes.

Authors:  Francesca Viazzi; Barbara Bonino; Antonio Mirijello; Paola Fioretto; Carlo Giorda; Antonio Ceriello; Pietro Guida; Giuseppina T Russo; Salvatore De Cosmo; Roberto Pontremoli
Journal:  J Hypertens       Date:  2019-04       Impact factor: 4.844

Review 5.  Epidemiology, impact and preventive care of chronic kidney disease in Taiwan.

Authors:  Shang-Jyh Hwang; Jer-Chia Tsai; Hung-Chun Chen
Journal:  Nephrology (Carlton)       Date:  2010-06       Impact factor: 2.506

6.  Time-Varying Association of Individual BP Components with eGFR in Late-Stage CKD.

Authors:  Manish M Sood; Ayub Akbari; Doug Manuel; Marcel Ruzicka; Swapnil Hiremath; Deborah Zimmerman; Brenden McCormick; Monica Taljaard
Journal:  Clin J Am Soc Nephrol       Date:  2017-03-29       Impact factor: 8.237

7.  Prognostic value of visit-to-visit systolic blood pressure variability related to diabetic kidney disease among patients with type 2 diabetes.

Authors:  Zhe-Bin Yu; Jian-Bing Wang; Die Li; Xue-Yu Chen; Hong-Bo Lin; Kun Chen
Journal:  J Hypertens       Date:  2019-07       Impact factor: 4.844

8.  The risk of diabetic renal function impairment in the first decade after diagnosed of diabetes mellitus is correlated with high variability of visit-to-visit systolic and diastolic blood pressure: a case control study.

Authors:  Chi-Hsiao Yeh; Hsiu-Chin Yu; Tzu-Yen Huang; Pin-Fu Huang; Yao-Chang Wang; Tzu-Ping Chen; Shun-Ying Yin
Journal:  BMC Nephrol       Date:  2017-03-22       Impact factor: 2.388

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

Authors:  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
Journal:  Chin Med J (Engl)       Date:  2018-05-20       Impact factor: 2.628

10.  Unstably controlled systolic blood pressure trajectories are associated with markers for kidney damage in prediabetic population: results from the INDEED cohort study.

Authors:  Zi-Jun Sun; Jin-Wei Wang; Dong-Yuan Chang; Shuo-Hua Chen; Hui-Fen Zhang; Shou-Ling Wu; Kevin He; Lu-Xia Zhang; Min Chen; Ming-Hui Zhao
Journal:  J Transl Med       Date:  2020-05-12       Impact factor: 5.531

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