Endothelial dysfunction and diurnal variation of blood pressure: night secrets of arterial hypertension?

Shantsila, Alena; Shantsila, Eduard

doi:10.1038/jhh.2011.54

J Hum Hypertens

2011

DOI: 10.1038/jhh.2011.54

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Endothelial dysfunction and diurnal variation of blood pressure: night secrets of arterial hypertension?

Alena Shantsila

Eduard Shantsila

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2020

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The relationship between glycemic variability and blood pressure variability in normoglycemic normotensive individuals

Sezer¹,

Yazıcı²,

Çöpür³

et al. 2020

Blood Pressure Monitoring

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Background and aim Glycemic fluctuations around a mean glucose level, referred as glycemic variability and blood pressure variability (BPV) are considered as independent risk factors for cardiovascular diseases, all-cause mortality, and cardiovascular disease-mortality. With this background in mind, we aimed to investigate the association between glycemic variability and BPV and their association in normoglycemic and normotensive individuals. Materials and method Twenty-seven normotensive normoglycemic individuals were recruited. Twenty-four hour Holter devices were utilized to measure ambulatory blood pressure (BP) while continuous glucose monitoring (CGM) devices were applied to measure glycemic variability simultaneously to the subjects. These devices were kept on for 48 h. For BP recordings, daytime, nighttime, and 24-h BP determinations, their mean and SD were calculated. From CGM measurements, mean blood glucose (MBG), SD of blood glucose, the mean amplitude of glycemic excursions (MAGE), the mean of daily differences (MODD), coefficient of variation (correction of variability for the MBG), and daytime and nighttime blood glucose were determined. Results The mean age of the subjects was 23.8 ± 2.7 years and 66% were women (18/27). In the correlation analysis between glycemic variability parameters and BPV parameters, SD of 24-h SBP was correlated with the SD of MBG (r = 0.52, P = 0.006), MAGE (r = 0.49, P = 0.009), and MODD (r = 0.46, P = 0.015). SD of daytime SBP was correlated with, MAGE (r = 0.42, P = 0.03) and MODD (r = 0.43, P = 0.02). Conclusion We report correlation between glycemic variability and BPV variables in normoglycemic and normotensive healthy individuals.

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The relationship between glycemic variability and blood pressure variability in normoglycemic normotensive individuals

Sezer¹,

Yazıcı²,

Çöpür³

et al. 2020

Blood Pressure Monitoring

View full text Add to dashboard Cite

show abstract

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Endothelial dysfunction and diurnal variation of blood pressure: night secrets of arterial hypertension?

Cited by 1 publication

References 28 publications

The relationship between glycemic variability and blood pressure variability in normoglycemic normotensive individuals

The relationship between glycemic variability and blood pressure variability in normoglycemic normotensive individuals

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