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Clin Cardiol ; 41(6): 778-781, 2018 Jun.
Article in English | MEDLINE | ID: mdl-29604077

ABSTRACT

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.


Subject(s)
Blood Pressure , Cardiovascular Diseases/etiology , Natriuretic Peptide, Brain/blood , Office Visits , Aged , Aged, 80 and over , Biomarkers/blood , Blood Pressure Determination , Body Mass Index , Cardiovascular Diseases/blood , Cardiovascular Diseases/physiopathology , Chi-Square Distribution , Cross-Sectional Studies , Female , Glomerular Filtration Rate , Humans , Linear Models , Male , Middle Aged , Multivariate Analysis , Predictive Value of Tests , Primary Health Care , Reproducibility of Results , Risk Factors , Time Factors , Urban Health
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