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J Hum Hypertens. 2017 Feb;31(2):132-137. doi: 10.1038/jhh.2016.51. Epub 2016 Aug 4.

Correlation between visit-to-visit and short-term blood pressure variability calculated using different methods and glomerular filtration rate.

Author information

1
Medical Informatics Center, Peking University, Beijing, People's Republic of China.
2
Department of Orthopedics and Trauma, Peking University People's Hospital, Beijing, People's Republic of China.
3
North China University of Science and Technology, Tangshan, People's Republic of China.
4
Department of Epidemiology and Biostatistics, Peking University, Beijing, People's Republic of China.
5
Department of Cardiology, Kailuan Hospital, North China University of Science and Technology, Tangshan, People's Republic of China.
6
Sixth Hospital of Peking University, Beijing, People's Republic of China.

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).

PMID:
27488611
DOI:
10.1038/jhh.2016.51
[Indexed for MEDLINE]

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