Arterial Stiffness and Chronic Kidney Disease

Garnier, Antoine; Briet, Marie

doi:10.1159/000443616

Cited by 48 publications

(38 citation statements)

References 72 publications

(98 reference statements)

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Kidney transplantations improve patient CV prognosis, but its impact on arterial stiffness is still controversial. Donor age, living kidney donation and mean blood pressure appear to be the main determinants of improvement in aortic stiffness after kidney transplantation 54 .…”

Section: Microvascular Complicationsmentioning

confidence: 97%

“…Carotid-femoral PWV measurements improve the prediction of CV risk in CKD patients beyond the traditional and renal CV risk factors. However, conflicting results were published about the relationship between aortic stiffness and estimated glomerular filtration rate (eGFR) within the CKD population 54 . A recent meta-analysis of the usefulness of central pressure measurements for predicting CV disease events concluded that the augmentation index provided independent CV diseases predictive utility when modelled together with traditional blood pressure 17 .…”

Section: Microvascular Complicationsmentioning

confidence: 99%

“…Concomitant exposure to other CV risk factors, including diabetes, seems to play a major role in the association between aortic stiffness and eGFR (ref. 54 ). Aortic PWV and AIx are independent predictors of cardiovascular (and all-cause) mortality in ESRD patients on hemodialysis, independent of other known factors affecting the outcome, and for each increase in AIx of 10%, the risk of cardiovascular and all-cause mortality is increased by around 50% (ref.…”

Section: Microvascular Complicationsmentioning

confidence: 99%

See 2 more Smart Citations

Pulse wave analysis and diabetes mellitus. A systematic review

Gajdova

Karásek

Goldmannová

et al. 2017

Biomed Pap Med Fac Univ Palacky Olomouc Czech Repub

View full text Add to dashboard Cite

Cardiovascular (CV) disease is the primary cause of death in diabetic patients and one of the explanations may be increased arterial stiffness. Arterial stiffness assessment using pulse wave analysis, is a predictive factor of CV events. The aim of this paper is to review the current knowledge of relations between diabetes mellitus and pulse wave analysis. A MEDLINE search was performed to retrieve both original and review articles addressing the relations and influences on arterial stiffness in diabetics. Pulse wave analysis is considered as a gold standard in CV risk evaluation for patients at risk, especially diabetics. Arterial stiffness assessment may be helpful for choosing more aggressive diagnostic and therapeutic strategies, particularly in younger patients to reduce the incidence of CV disease in these patients.

show abstract

Section: Microvascular Complicationsmentioning

confidence: 97%

Section: Microvascular Complicationsmentioning

confidence: 99%

Section: Microvascular Complicationsmentioning

confidence: 99%

See 1 more Smart Citation

Pulse wave analysis and diabetes mellitus. A systematic review

Gajdova

Karásek

Goldmannová

et al. 2017

Biomed Pap Med Fac Univ Palacky Olomouc Czech Repub

View full text Add to dashboard Cite

show abstract

“…14a), as the number of identified renal prognostic factors was less for this subcohort. Recently, PP was found to be associated with CKD progression for all CKD stages [53]. In a review by Safar [54], PP × HR was said to be significant, in that HR has more substantial links with PP than with mean blood pressure; an increase in PP × HR, more than PP itself, might cause vascular wall fatigue, particularly in the presence of atherosclerosis.…”

Section: Discussionmentioning

confidence: 99%

A Body Mass Index-Based Cross-Classification Approach for the Assessment of Prognostic Factors in Chronic Kidney Disease Progression

Kataoka

Ono

Mochizuki

et al. 2019

Kidney Blood Press Res

View full text Add to dashboard Cite

Background/Aims: Cross-classification analyses are rarely reported. We investigated the prognostic factors for chronic kidney disease (CKD) progression using a body mass index (BMI)-based cross-classification approach. Methods: Patients’ renal outcome (≥50% decline in the estimated glomerular filtration rate or end-stage renal disease) in each subcohort was examined. Results: The number of prognostic factors identified in the multivariate Cox analysis was smaller in the “BMI ≥25, female” and CKD stage 3 subcohorts than in other subcohorts. Prognostic factors identified in the “BMI ≥25, CKD stage 3” subcohort only comprised albuminuria and male sex, and those in the “BMI ≥25, female” subcohort only comprised albuminuria, hyperphosphatemia, and anemia. Albuminuria, kidney impairment, male sex, hyperphosphatemia, anemia, and increased pulse pressure × heart rate product (PP × HR; pulsatile stress) were stable renal prognostic factors in almost all subcohorts. On the other hand, the prognostic value of increased BMI, younger age, hypoalbuminemia, increased intact parathyroid hormone, and decreased estimated 24-h urinary potassium excretion (e24hUK) differed according to subcohort. BMI was positively associated with CKD progression in the “BMI ≥25, age ≥65 years” and “BMI ≥25, CKD stages 4–5” subcohorts, whereas it was negatively associated with CKD progression in the “BMI <25, diabetes mellitus” subcohort. PP × HR was independently associated with CKD progression in the “BMI <25, CKD stage 3” subcohort, which had relatively few identified renal prognostic factors. Decreased e24hUK was a renal prognostic factor for CKD progression in the “BMI <25, CKD stages 4–5” subcohort, while no significant factors were observed in the “BMI ≥25, CKD stages 4–5” subcohort. Conclusion: A BMI-based cross-classification approach, which provides more comprehensive findings than that in previous approaches, is expected to be an effective method for evaluating renal prognostic factors in patients with CKD who are affected by multiple risk factors.

show abstract

“…[2,4] Diabetic kidney disease (DKD) is defined as functional, structural and clinical alterations of the kidneys caused by diabetes. [5] Vitamin C, also, known as ascorbic acid and ascorbate, is a basic compound that belongs to the group of water-soluble vitamins. [6] Vitamin C can be produced by most animals and plants from Dglucose and D-galactose, whereas it is not produced in humans due to the lack of L-gulonolactone oxidase enzyme; and therefore, it should be taken externally.…”

Section: Introductionmentioning

confidence: 99%