scholarly journals P3515Systolic blood pressure difference between arms and chronic kidney disease in the community based 10-year cohort study

2018 ◽  
Vol 39 (suppl_1) ◽  
Author(s):  
B O Kim ◽  
J K Seo ◽  
G S Kim ◽  
H Y Lee
Keyword(s):  
Blood Pressure ◽  
Chronic Kidney Disease ◽  
Cohort Study ◽  
Kidney Disease ◽  
Pressure Difference ◽  
Community Based ◽  
Blood Pressure Difference

Interankle systolic blood pressure difference and renal outcomes in patients with chronic kidney disease

Nephrology ◽  
2016 ◽  
Vol 21 (5) ◽  
pp. 379-386 ◽  
Author(s):  
Szu-Chia Chen ◽  
Yi-Chun Tsai ◽  
Jiun-Chi Huang ◽  
Su-Chu Lee ◽  
Jer-Ming Chang ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Chronic Kidney Disease ◽  
Kidney Disease ◽  
Systolic Blood Pressure ◽  
Pressure Difference ◽  
Renal Outcomes ◽  
Blood Pressure Difference

scholarly journals Association between interarm blood pressure differences and diabetic retinopathy in patients with type 2 diabetes

2020 ◽  
Vol 17 (4) ◽  
pp. 147916412094591
Author(s):  
Ji Hyun Lee ◽  
Ye An Kim ◽  
Young Lee ◽  
Woo-Dae Bang ◽  
Je Hyun Seo
Keyword(s):  
Blood Pressure ◽  
Type 2 Diabetes ◽  
Chronic Kidney Disease ◽  
Diabetic Retinopathy ◽  
Kidney Disease ◽  
Confidence Interval ◽  
Pressure Difference ◽  
Odds Ratio ◽  
Blood Pressure Difference

Background: The effect of interarm blood pressure difference on the development of diabetic retinopathy, proteinuria and chronic kidney disease remains unknown. We investigated to determine the impact of interarm blood pressure difference on the prevalence of diabetic retinopathy, proteinuria and chronic kidney disease in patients with type 2 diabetes. Methods: The study included 563 patients with diabetes, who were evaluated with a simultaneous bilateral blood pressure measurement. The cutoff values for interarm blood pressure difference were 5, 10 and 15 mmHg. Logistic regression analysis was used to explore the relation between interarm blood pressure difference and diabetic retinopathy, proteinuria and chronic kidney disease. Results: Diabetic patients with systolic interarm blood pressure difference ⩾5, ⩾10 and ⩾15 mmHg showed an increased risk of diabetic retinopathy [adjusted odds ratio = 1.48 (95% confidence interval = 1.01–2.18), odds ratio = 1.80 (95% confidence interval = 0.99–3.22), odds ratio = 2.29 (95% confidence interval = 1.00–5.23)] after adjustment. There were significant associations between interarm blood pressure difference ⩾5 and ⩾10 mmHg and proteinuria [odds ratio = 1.68 (95% confidence interval = 1.15–2.44), 1.89 (95% confidence interval = 1.05–3.37)]. Conclusion: The association between interarm blood pressure difference and the presence of diabetic retinopathy emerged even for systolic interarm blood pressure difference ⩾5 mmHg without interaction of systolic blood pressure. Systolic interarm blood pressure difference should be considered a surrogate marker for vascular complication in patients with type 2 diabetes.

scholarly journals The Copenhagen chronic kidney disease echo study (COInCYDE)

2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
N Landler ◽  
S Bro ◽  
B Feldt-Rasmussen ◽  
D Hansen ◽  
A.L Kamper ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Chronic Kidney Disease ◽  
Cohort Study ◽  
Kidney Disease ◽  
Cardiac Function ◽  
Left Ventricular ◽  
Funding Source ◽  
Ckd Stage ◽  
Significant Difference ◽  
Stage 1

Abstract Background The cardiovascular mortality of patients with chronic kidney disease (CKD) is 2–10 times higher than in the average population. Purpose To estimate the prevalence of abnormal cardiac function or structure across the stages CKD 1 to 5nonD. Method Prospective cohort study. Patients with CKD stage 1 to 5 not on dialysis, aged 30 to 75 (n=875) and age-/sex-matched controls (n=173) were enrolled consecutively. All participants underwent a health questionnaire, ECG, morphometric and blood pressure measurements. Blood and urine were analyzed. Echocardiography was performed. Left ventricle (LV) hypertrophy, dilatation, diastolic and systolic dysfunction were defined according to current ESC guidelines. Results 63% of participants were men. Mean age was 58 years (SD 12.6 years). Mean eGFR was 46.7 mL/min/1,73 m (SD 25.8) for patients and 82.3 mL/min/1,73 m (SD 13.4) for controls. The prevalence of elevated blood pressure at physical exam was 89% in patients vs. 53% in controls. Patients were more often smokers and obese. Left ventricular mass index (LVMI) was slightly, albeit insignificantly elevated at CKD stages 1 & 2 vs. in kontrols: 3.1 g/m2, CI: −0.4 to 6.75, p-value 0.08. There was no significant difference in LV-dilatation between patients and controls. Decreasing diastolic and systolic function was observed at CKD stage 3a and later: LVEF decreased 0.95% (CI: −1.5 to −0.2), GLS increased 0.5 (CI: 0.3 to 0.8), and OR for diastolic dysfunction increased 3.2 (CI 1.4 to 7.3) pr. increment CKD stage group. Conclusion In accordance to previous studies, we observe in the CPHCKD cohort study signs of early increase of LVMI in patients with CKD stage 1 & 2. Significant decline in systolic and diastolic cardiac function is apparent already at stage 3 CKD. Figure 1. Estimated GFR vs. GLS & histogram of GLS Funding Acknowledgement Type of funding source: Public hospital(s). Main funding source(s): The Capital Region of Denmark

Association Between Longitudinal Blood Pressure Trajectory and the Progression of Chronic Kidney Disease: Results From the KNOW-CKD

Hypertension ◽  
2021 ◽  
Author(s):  
Young Su Joo ◽  
Hyung Woo Kim ◽  
Ki Heon Nam ◽  
Jee Young Lee ◽  
Tae Ik Chang ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Chronic Kidney Disease ◽  
Cohort Study ◽  
Kidney Disease ◽  
Primary Outcome ◽  
Latent Class ◽  
Mixed Model ◽  
Hazards Model ◽  
Trajectory Group ◽  
End Stage

Studies on the longitudinal temporal trend of blood pressure (BP) and its impact on kidney function are scarce. Here, we evaluated the association of dynamic changes in systolic blood pressure (SBP) over time with adverse kidney outcomes. We analyzed 1837 participants from the KNOW-CKD (Korean Cohort Study for Outcomes in Patients With Chronic Kidney Disease). The main exposure was 3 distinct SBP trajectories determined by the latent class mixed model (decreasing, stable, and increasing) using 3 SBP measurements at 0, 6, and 12 months. The primary outcome was CKD progression, defined as a composite of halving estimated glomerular filtration rate from baseline value or onset of end-stage kidney disease. SBP declined from 144 to 120 mm Hg in the decreasing SBP trajectory group and rose from 114 to 136 mm Hg in the increasing trajectory group within 1 year. During 6576 person-years of follow-up (median, 3.7 years), the composite outcome occurred in 521 (28.4%) participants. There were fewer primary outcome events in the decreasing (30.6%) and stable (26.5%) SBP trajectory groups than in the increasing trajectory group (33.0%). In the multivariable-adjusted cause-specific hazards model, increasing SBP trajectory was associated with a 1.28-fold higher risk for adverse kidney outcome compared with stable SBP trajectory. However, the risk for the primary outcome did not differ between the decreasing and stable SBP trajectory groups. In this longitudinal CKD cohort study, compared with stable SBP trajectory, increasing SBP trajectory was associated with higher risk for adverse kidney outcome, whereas decreasing SBP trajectory showed similar risk.

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