The relationship between glycemic variability and blood pressure variability in normoglycemic normotensive individuals
Copyright © 2020 Wolters Kluwer Health, Inc. All rights reserved..
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.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2021 |
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| Erschienen: |
2021 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:26 |
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| Enthalten in: |
Blood pressure monitoring - 26(2021), 2 vom: 01. Apr., Seite 102-107 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Sezer, Havva [VerfasserIn] |
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| Anmerkungen: |
Date Completed 05.03.2021 Date Revised 05.03.2021 published: Print Citation Status MEDLINE |
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| doi: |
10.1097/MBP.0000000000000491 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM316442763 |
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| 500 | |a Date Revised 05.03.2021 | ||
| 500 | |a published: Print | ||
| 500 | |a Citation Status MEDLINE | ||
| 520 | |a Copyright © 2020 Wolters Kluwer Health, Inc. All rights reserved. | ||
| 520 | |a 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 | ||
| 520 | |a 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 | ||
| 520 | |a 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) | ||
| 520 | |a CONCLUSION: We report correlation between glycemic variability and BPV variables in normoglycemic and normotensive healthy individuals | ||
| 650 | 4 | |a Journal Article | |
| 650 | 7 | |a Blood Glucose |2 NLM | |
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| 700 | 1 | |a Copur, Sidar |e verfasserin |4 aut | |
| 700 | 1 | |a Dagel, Tuncay |e verfasserin |4 aut | |
| 700 | 1 | |a Deyneli, Oguzhan |e verfasserin |4 aut | |
| 700 | 1 | |a Kanbay, Mehmet |e verfasserin |4 aut | |
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