title: Correlation between visit-to-visit and short-term blood pressure variability calculated using different methods and glomerular filtration rate.
abstract: The aim of this study was to explore the correlation between visit-to-visit and short-term blood pressure variability (BPV), including systolic BPV (SBPV) and diastolic BPV (DBPV), calculated using different methods, and the glomerular filtration rate (GFR) in a late, middle-aged population. Using cluster sampling, we randomly selected retired employees of the Kailuan Group who were ⩾60 years and participated in a third health examination for 24-h ambulatory blood pressure monitoring and inspection. Among the 3064 randomly selected observation subjects, 2464 were included based on the criteria. BPV was calculated using s.d., coefficient of variation (CV, s.d./Mean), variability independent of mean (VIM, s.d./Meanx) and BPV ratio (BPVR, s.d. (SBPV)/s.d. (DBPV)). Multivariate linear regression was used to analyse the correlation between estimated GFR (eGFR) and BPV calculated using different methods. The mean age of 2464 subjects was 67.4±6.1 years, with 1667 male subjects (67.7%). A total of 2104 cases were included in the visit-to-visit BPV group, and 1382 in the short-term BPV group. SBPV calculated using different methods showed statistically significant increasing trends for the SBP versus all s.d. and short-term BPVR. There was a significant, positive correlation between the visit-to-visit and short-term BPV calculated using different methods, which were all negatively correlated with eGFR (P<0.05). Multivariate linear regression analysis showed that, with correction for possible confounding factors, SBPV (24-h s.d., CV and VIM, and daytime CV and night time CV) and all DBPV demonstrated negative linear relationships with eGFR (P<0.05).
authors.affiliation: Medical Informatics Center, Peking University, Beijing, People's Republic of China.
authors.forename: J
authors.initials: J
authors.lastname: Wang
authors.affiliation: Department of Orthopedics and Trauma, Peking University People's Hospital, Beijing, People's Republic of China.
authors.forename: B
authors.initials: B
authors.lastname: Jiang
authors.affiliation: North China University of Science and Technology, Tangshan, People's Republic of China.
authors.forename: L
authors.initials: L
authors.lastname: Song
authors.affiliation: Department of Epidemiology and Biostatistics, Peking University, Beijing, People's Republic of China.
authors.forename: C
authors.initials: C
authors.lastname: Yang
authors.affiliation: Department of Cardiology, Kailuan Hospital, North China University of Science and Technology, Tangshan, People's Republic of China.
authors.forename: Y
authors.initials: Y
authors.lastname: Wu
authors.affiliation: Department of Cardiology, Kailuan Hospital, North China University of Science and Technology, Tangshan, People's Republic of China.
authors.forename: S
authors.initials: S
authors.lastname: Chen
authors.affiliation: Department of Cardiology, Kailuan Hospital, North China University of Science and Technology, Tangshan, People's Republic of China.
authors.forename: C
authors.initials: C
authors.lastname: Li
authors.affiliation: Department of Cardiology, Kailuan Hospital, North China University of Science and Technology, Tangshan, People's Republic of China.
authors.forename: H
authors.initials: H
authors.lastname: Zhao
authors.affiliation: Sixth Hospital of Peking University, Beijing, People's Republic of China.
authors.forename: F
authors.initials: F
authors.lastname: Wang
authors.affiliation: Department of Cardiology, Kailuan Hospital, North China University of Science and Technology, Tangshan, People's Republic of China.
authors.forename: S
authors.initials: S
authors.lastname: Wu
mesh_terms: D000368:Aged; D001794:Blood Pressure; D005260:Female; D005919:Glomerular Filtration Rate; D006801:Humans; D016014:Linear Models; D008297:Male; D008875:Middle Aged