Comparing differences and correlation between 24-hour ambulatory blood pressure and office blood pressure monitoring in patients with untreated hypertension
Objective We assessed differences and correlations between 24-hour ambulatory blood pressure (ABP) and office blood pressure (OBP) monitoring. Methods We conducted an observational study among 85 untreated patients with essential hypertension and measured 24-hour ABP, OBP, target organ damage (TOD)...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
SAGE Publishing
2021-06-01
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| Series: | Journal of International Medical Research |
| Online Access: | https://doi.org/10.1177/03000605211016144 |
| _version_ | 1818743845198757888 |
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| author | Zhenhong Zhang Shunyin Wang Junru Yan Zhiwen Xu Dongliang Liang Baohua Liu Junjie Liang Mingjie Chen |
| author_facet | Zhenhong Zhang Shunyin Wang Junru Yan Zhiwen Xu Dongliang Liang Baohua Liu Junjie Liang Mingjie Chen |
| author_sort | Zhenhong Zhang |
| collection | DOAJ |
| description | Objective We assessed differences and correlations between 24-hour ambulatory blood pressure (ABP) and office blood pressure (OBP) monitoring. Methods We conducted an observational study among 85 untreated patients with essential hypertension and measured 24-hour ABP, OBP, target organ damage (TOD) markers, and metabolism indexes. Variance analysis and the Pearson method were used to compare differences and correlation between the two methods. The Spearman or Pearson method was applied to compare the correlation between TOD markers, blood pressure index, and metabolism index. Linear regression analysis was applied to estimate the quantitative relationship between the blood pressure index and TOD markers. Results There were significant differences in the mean and variance of systolic blood pressure (SBP) and diastolic blood pressure and a positive correlation between ABP and OBP. Correlations between the left ventricular mass index (LVMI) and average ambulatory SBP, daytime ambulatory SBP, nighttime ambulatory SBP, and fasting blood glucose were significant. Correlations between left intima-media thickness (IMT) and average ambulatory SBP, nighttime ambulatory SBP, right IMT, and nighttime ambulatory SBP were significant. In linear regression analysis of the LVMI (y) and ambulatory SBP (x), the equation was expressed as y = 0.637*x. Conclusion Nighttime ambulatory SBP may be an optimal predictor of TOD. |
| first_indexed | 2024-12-18T02:34:53Z |
| format | Article |
| id | doaj.art-f85c259d118143aba20f44f4555efc5e |
| institution | Directory Open Access Journal |
| issn | 1473-2300 |
| language | English |
| last_indexed | 2024-12-18T02:34:53Z |
| publishDate | 2021-06-01 |
| publisher | SAGE Publishing |
| record_format | Article |
| series | Journal of International Medical Research |
| spelling | doaj.art-f85c259d118143aba20f44f4555efc5e2022-12-21T21:23:49ZengSAGE PublishingJournal of International Medical Research1473-23002021-06-014910.1177/03000605211016144Comparing differences and correlation between 24-hour ambulatory blood pressure and office blood pressure monitoring in patients with untreated hypertensionZhenhong ZhangShunyin WangJunru YanZhiwen XuDongliang LiangBaohua LiuJunjie LiangMingjie ChenObjective We assessed differences and correlations between 24-hour ambulatory blood pressure (ABP) and office blood pressure (OBP) monitoring. Methods We conducted an observational study among 85 untreated patients with essential hypertension and measured 24-hour ABP, OBP, target organ damage (TOD) markers, and metabolism indexes. Variance analysis and the Pearson method were used to compare differences and correlation between the two methods. The Spearman or Pearson method was applied to compare the correlation between TOD markers, blood pressure index, and metabolism index. Linear regression analysis was applied to estimate the quantitative relationship between the blood pressure index and TOD markers. Results There were significant differences in the mean and variance of systolic blood pressure (SBP) and diastolic blood pressure and a positive correlation between ABP and OBP. Correlations between the left ventricular mass index (LVMI) and average ambulatory SBP, daytime ambulatory SBP, nighttime ambulatory SBP, and fasting blood glucose were significant. Correlations between left intima-media thickness (IMT) and average ambulatory SBP, nighttime ambulatory SBP, right IMT, and nighttime ambulatory SBP were significant. In linear regression analysis of the LVMI (y) and ambulatory SBP (x), the equation was expressed as y = 0.637*x. Conclusion Nighttime ambulatory SBP may be an optimal predictor of TOD.https://doi.org/10.1177/03000605211016144 |
| spellingShingle | Zhenhong Zhang Shunyin Wang Junru Yan Zhiwen Xu Dongliang Liang Baohua Liu Junjie Liang Mingjie Chen Comparing differences and correlation between 24-hour ambulatory blood pressure and office blood pressure monitoring in patients with untreated hypertension Journal of International Medical Research |
| title | Comparing differences and correlation between 24-hour ambulatory blood pressure and office blood pressure monitoring in patients with untreated hypertension |
| title_full | Comparing differences and correlation between 24-hour ambulatory blood pressure and office blood pressure monitoring in patients with untreated hypertension |
| title_fullStr | Comparing differences and correlation between 24-hour ambulatory blood pressure and office blood pressure monitoring in patients with untreated hypertension |
| title_full_unstemmed | Comparing differences and correlation between 24-hour ambulatory blood pressure and office blood pressure monitoring in patients with untreated hypertension |
| title_short | Comparing differences and correlation between 24-hour ambulatory blood pressure and office blood pressure monitoring in patients with untreated hypertension |
| title_sort | comparing differences and correlation between 24 hour ambulatory blood pressure and office blood pressure monitoring in patients with untreated hypertension |
| url | https://doi.org/10.1177/03000605211016144 |
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