Data Management And Sharing System of China National Clinical Research Center for Neurological Diseases
Visit-to-visit blood pressure variability and the risk of cardiovascular disease: a prospective cohort analysis
First author：Shouling Wu,Xue Tian
Corresponding author：Anxin Wang
essential_information
- Person in charge：Shouling Wu,Xue Tian
- Data Sources： Kailuan Study
- Number of papers：KAILUAN STUDY20230139
- Published time：2023-08-24
2023-08-24
Published articles
Journal：HYPERTENSION RESEARCH
Publication type: Original Contributions
IF(IF): 5.4
PMID: 37620433 Link To Pubmed Full text Download
Background And Purpose
Large blood pressure (BP) variability contributed to subclinical brain disease thus may be implicated in the development of cardiovascular disease (CVD).
Method
This study included 64,810 CVD-free participants who attended the first two examinations from the Kailuan study to investigate the association of BP variation, considering its magnitude, direction, and time interval prior to CVD diagnosis, with the risk of CVD in Chinese population. Magnitude and directional BP variability was calculated as absolute BP difference or BP difference value divided by mean BP over 2 sequential visits, respectively.
Conclusion
The results indicated that a large SBP variation in rise direction was associated with an increased risk of incident CVD, especially in men.
Main results
During a median follow-up of 10.91 years, a total of 4129 cases of CVD. A large SBP variability (the highest vs the lowest tertile) was associated with a higher risk of CVD (adjusted HR, 1.31; 95% CI, 1.22-1.41). The associations were stronger with longer time intervals, the hazard ratio (HR) with 95% confidence interval (CI) for CVD was 1.30 (95% CI, 1.20-1.39) at 1 years, 1.32 (1.18-1.40) at 3 years, and 1.34 (1.20-1.45) at 5 years. For directional SBP variability, rise in SBP was associated with an increased risk of CVD (HR, 6.17; 95% CI, 5.65-6.75), while fall in SBP was associated with a decreased risk of CVD (HR, 0.52; 95% CI, 0.46-0.59). Subgroup analysis showed the significant associations were only observed in men (Pint = 0.0010). Similar patterns were observed for DBP variability and CVD subtypes.