scholarly journals 101DELIRIUM IN ACUTE ILLNESS IS NOT ASSOCIATED WITH HYPOTENSION OR BLOOD PRESSURE VARIABILITY: A CONSECUTIVE COHORT STUDY IN PATIENTS WITH VASCULAR DISEASE

2017 ◽  
Vol 46 (suppl_1) ◽  
pp. i25-i26
Author(s):  
R J Thomson ◽  
A-M Haigh ◽  
S J V Welch ◽  
P M Rothwell ◽  
S T Pendlebury
Keyword(s):  
Blood Pressure ◽  
Cohort Study ◽  
Vascular Disease ◽  
Blood Pressure Variability ◽  
Acute Illness

Blood Pressure and Decline in Kidney Function in Patients With Atherosclerotic Vascular Disease: A Cohort Study

2009 ◽  
Vol 54 (5) ◽  
pp. 820-829 ◽  
Author(s):  
Anne L.M. Vlek ◽  
Yolanda van der Graaf ◽  
Branko Braam ◽  
Frans L. Moll ◽  
Hendrik M. Nathoe ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Cohort Study ◽  
Vascular Disease ◽  
Kidney Function ◽  
Atherosclerotic Vascular Disease

scholarly journals Effect of visit-to-visit blood pressure variability on cardiovascular events in populations with different body mass indexes: a prospective cohort study

BMJ Open ◽  
2020 ◽  
Vol 10 (9) ◽  
pp. e035836
Author(s):  
Haojia Chen ◽  
Youren Chen ◽  
Weiqiang Wu ◽  
Jianhuan Huang ◽  
Zekai Chen ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Cohort Study ◽  
Systolic Blood Pressure ◽  
Prospective Cohort ◽  
Cardiovascular Events ◽  
Blood Pressure Variability ◽  
Risk Model ◽  
Normal Weight ◽  
Weight Group ◽  
Body Mass Indexes

ObjectiveThis study was performed to explore the effects of visit-to-visit blood pressure variability (BPV) on cardiovascular events (CVEs) in people with various body mass indexes (BMIs).DesignProspective cohort study.SettingThe average real variability of systolic blood pressure (ARVSBP) was the indicator for visit-to-visit BPV. The participants were divided into three groups: normal weight, overweight and obesity. We further divided these groups into four subgroups based on the ARVSBP. A Cox regression model was used to calculate the HRs of the ARVSBP on CVEs in the same and different BMI groups. Additionally, a competitive risk model was used to calculate the HRs of the ARVSBP on CVEs in the same BMI group.ParticipantsIn total, 41 043 individuals met the inclusion criteria (no historical CVEs or tumours, no incidence of CVEs or tumours and no death during the four examinations) and had complete systolic blood pressure and BMI data.ResultsA total of 868 CVEs occurred. The cumulative incidence of CVEs increased as ARVSBP rose in both the normal weight and overweight groups. In same BMI groups, the risk of CVEs significantly increased as ARVSBP increased only in the normal weight group (highest quartiles of ARVSBP: HR (95% CI) 2.20 (1.46–3.31)). In the different BMI groups, the risk of CVEs in the ARVSBP subgroup in each BMI group was higher than that the least quintile of ARVSBP in the normal weight group (highest quartiles of ARVSBP in obesity: HR (95% CI) 2.28 (1.47–3.55)). The result of the competitive risk model did not change.ConclusionsAs BMI and ARVSBP increase, the risk of CVEs increases. However, the risk of visit-to-visit BPV on CVEs varies in different BMI groups, especially in people of normal weight.Trial registration numberCHiCTR-TNC1100 1489.

Blood pressure variability and the risk of fracture: a nationwide cohort study

2021 ◽  
Author(s):  
Jung Eun Yoo ◽  
Ji Won Yoon ◽  
Hyo Eun Park ◽  
Kyungdo Han ◽  
Dong Wook Shin
Keyword(s):  
Blood Pressure ◽  
Cohort Study ◽  
Hip Fractures ◽  
Blood Pressure Variability ◽  
Positive Association ◽  
Population Based ◽  
Outcome Data ◽  
National Health Insurance System ◽  
Risk Of Fracture ◽  
Quartile Group

Abstract Context Although blood pressure variability (BPV) is associated with various health outcomes, only one study suggested that BPV is correlated with hip fractures. As cardiovascular disease and fractures share similar pathophysiology, there might be a link between BPV and fractures. Objective To investigate the association between BPV and the incident fractures. Design Retrospective cohort study. Setting Population-based, using the Korean National Health Insurance System database. Patients or Other Participants A total of 3,256,070 participants aged 50 and above who participated in ≥3 health examinations within the previous five years, including the index year (2009-2010), were included. Outcome data was obtained through the end of 2016. Exposure BPV was calculated using variability independent of the mean. High variability was defined as the highest quartile of variability. Main Outcome Measures Newly diagnosed fractures. Results During the median follow-up of 7.0 years, there were 337,045 cases of any fracture (10.4%). After adjusting for age, sex, income, lifestyle factors, and comorbidities, a higher risk of fracture was observed with higher quartiles of BPV than the lowest quartile group: the adjusted hazard ratios (95% confidence intervals) for incident any fracture were 1.07 (1.06–1.08) in the higher quartile of systolic BPV, 1.06 (1.05–1.07) in that of diastolic BPV, and 1.07 (1.06–1.08) in that of both systolic and diastolic BPV. Consistent results were noted for vertebral fractures and hip fractures, as well as in various subgroup analyses. Conclusions A positive association was noted between higher BPV and fracture incidence. BPV is an independent predictor for developing fracture.

scholarly journals Association between mortality and blood pressure variability in hypertensive and normotensive elders: A cohort study

2017 ◽  
Vol 19 (8) ◽  
pp. 753-756 ◽  
Author(s):  
Avraham Weiss ◽  
Yichayaou Beloosesky ◽  
Nira Koren-Morag ◽  
Alon Grossman
Keyword(s):  
Blood Pressure ◽  
Cohort Study ◽  
Blood Pressure Variability

Systemic hemodynamic atherothrombotic syndrome (SHATS) – Coupling vascular disease and blood pressure variability: Proposed concept from pulse of Asia

2020 ◽  
Vol 63 (1) ◽  
pp. 22-32 ◽  
Author(s):  
Kazuomi Kario ◽  
Julio A. Chirinos ◽  
Raymond R. Townsend ◽  
Michael A. Weber ◽  
Angelo Scuteri ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Vascular Disease ◽  
Blood Pressure Variability ◽  
Systemic Hemodynamic
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