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Published on: April 28, 2016
Association between B-type natriuretic peptide and within-visit blood pressure variability
Ana Beatriz Rodrigues1, Ronaldo Altenburg Gismondi2, Antonio Lagoeiro2
1Department of Epidemiology and Statistics, Institute of Public Health, Fluminense Federal University, Rio de Janeiro, Brazil.
Insights
Within-visit blood pressure variability (BPV) showed a weak positive correlation with B-type natriuretic peptide (BNP) levels in a general population. Diastolic BPV remained associated with BNP even after adjusting for other factors.
Area of Science:
- Cardiology
- Hypertension Research
- Biomarker Analysis
Background:
- Blood pressure variability (BPV) is a predictor of cardiovascular events.
- Within-visit BPV, a simple measure, has conflicting associations with target organ damage in prior studies.
- This study investigates the relationship between within-visit BPV and B-type natriuretic peptide (BNP) in a general population.
Purpose of the Study:
- To evaluate the correlation between within-visit blood pressure variability (BPV) and B-type natriuretic peptide (BNP) levels.
- To determine if within-visit BPV is associated with BNP in a general population sample.
- To explore potential links between BP fluctuations during a visit and cardiac strain markers.
Main Methods:
- A cross-sectional study of 633 individuals aged 45-99 years from primary care.
- Three blood pressure (BP) readings taken one minute apart to calculate within-visit BPV as coefficient of variation (CV).
- Multivariable generalized linear models used to assess associations between BNP and within-visit BPV, adjusting for confounders.
Main Results:
- A weak but positive correlation was observed between BNP and both systolic (r=0.107, P=0.007) and diastolic (r=0.092, P=0.019) BP-CV.
- Median BNP was 16 pg/mL, with median systolic and diastolic BP-CV at 3.9% and 3.5%, respectively.
- Multivariable analysis indicated that systolic BP, diastolic BP-CV, BMI, and eGFR were associated with BNP levels.
Conclusions:
- A positive, though weak, correlation exists between within-visit blood pressure variability (BPV) and BNP.
- Diastolic BPV demonstrated an association with BNP, even after adjusting for multiple confounding variables.
- Within-visit BPV may serve as a subtle indicator related to cardiac strain markers like BNP.
Background:
Blood pressure variability (BPV) has been shown to predict cardiovascular events. Within-visit BPV is the simplest and easiest measure of BPV, but previous studies have shown conflicts as to whether within-visit BPV correlates with target organ damage. We aimed to evaluate whether within-visit BPV correlates with B-type natriuretic peptide (BNP) in a general population.
Hypothesis:
Within-visit BPV correlates with BNP in a general population.
Methods:
This was a cross-sectional study that included 633 individuals, randomly selected, age 45 to 99 years, registered in the primary care program from an urban medium-sized town. Patients were scheduled for a single-day visit that consisted of clinical evaluation and laboratory tests. Three blood pressure (BP) readings, 1 minute apart, were done, and within-visit BPV was determined as the coefficient of variation (CV) of the 3 BP measures. Our main outcome was to correlate BNP and within-visit BPV. A multivariable model was estimated using a generalized linear model to evaluate the independent effects of different variables on BNP levels.
Results:
The median age was 57 years. Median BNP was 16 pg/mL, and the median systolic and diastolic BP-CV were, respectively, 3.9% and 3.5%. There was a weak but positive correlation between BNP and both systolic BP-CV and diastolic BP-CV (r = 0.107 and P = 0.007 and r = 0.092 and P = 0.019, respectively). In multiple regression equation, systolic BP, diastolic BP-CV, body mass index, and estimated glomerular filtration rate were associated with BNP.
Conclusions:
In the present study, there was a positive, albeit weak, correlation between within-visit BPV and BNP. In addition, diastolic BPV was associated with BNP even after adjustment for multiple confounders.
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