Arterial stiffness and kidney disease progression in the systolic blood pressure intervention trial

Blood Pressure Variability and the Progression of Chronic Kidney Disease: a Systematic Review and Meta-Analysis

BACKGROUND

Blood pressure variability (BPV) is a risk factor for poor prognosis including cardiovascular events, chronic kidney disease, and mortality, independent of elevated BP.

METHODS

We searched PubMed/Medline, EMBASE, and the Cochrane Central Register of Controlled Trials (CENTRAL) from inception to November 23, 2022. Cohort studies reporting the association between BPV and chronic kidney disease (CKD) progression were selected. Hazard ratios were pooled using a random-effects model. Meta-regression, subgroup analyses, and sensitivity analyses were conducted.

RESULTS

A total of 23 studies were included in this systematic review and meta-analysis. Increased BPV was associated with progression of CKD (HR: 1.21, 95% CI: 1.09-1.33) and incidence of ESRD (HR: 1.08, 95% CI: 1.08-1.30). Among the different BPV metrics, high variation independent of mean (VIM), coefficient of variation (CV), standard deviation (SD), and average real variability (ARV) were indicated as predictors of CKD progression.

DISCUSSION

Increased BPV was associated with CKD progression.

Comparison of brachial-ankle pulse wave velocity and carotid-femoral pulse wave velocity in association with albuminuria in a community of Beijing: a cross-sectional study

This study was performed to investigate and compare the association of albuminuria with the brachial-ankle pulse wave velocity (baPWV) and carotid-femoral pulse wave velocity (cfPWV) in a community-based population in Beijing. Subjects were enrolled from a follow-up survey conducted in 2018 from an atherosclerosis cohort in Shijingshan district, Beijing, China. The baPWV and cfPWV were measured using a BP-203 RPE III arteriosclerosis detection device and PulsePen, respectively. Albuminuria was defined as a urinary albumin-creatinine ratio of ≥30 mg/g. A multivariate logistic regression model was used to evaluate the impacts of different PWV measurements on the prevalence of albuminuria. In total, 5605 subjects were included in the analyses. Their mean age was 62.22 ± 7.55 years, and the prevalence of albuminuria was 8.22%. In the multivariate logistic regression model adjusted for potential covariates, both baPWV (odds ratio [OR], 1.06; 95% confidence interval [CI], 1.03-1.10; P < 0.001) and cfPWV (OR, 1.07; 95% CI, 1.01-1.14; P = 0.018) were significantly associated with albuminuria. Furthermore, when baPWV and cfPWV were entered into the logistic regression model simultaneously, only baPWV was significantly associated with albuminuria using either continuous value (OR, 1.05; 95% CI, 1.01-1.10; P = 0.007) or classified into quartiles (highest vs. lowest value group: OR, 1.55; 95% CI, 1.01-2.37; P for trend = 0.019). Both cfPWV and baPWV were positively associated with albuminuria, while baPWV had a stronger relationship than cfPWV. Thus, baPWV measurement could be considered for the purpose of community health screening.

Association between brachial‐ankle pulse wave velocity and cardiovascular and cerebrovascular disease in different age groups

Background

Methods

Results

Conclusion