Diastolic Reverse Dipping Pattern Is the Predictor for the Echocardiographic Changes in the Untreated Masked Hypertensive Patients Article Swipe
Jianhao Li
,
Yalin Cao
,
Chen Liu
,
Jiayong Li
,
Fengjuan Yao
,
Yugang Dong
,
Huiling Huang
·
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.1093/ajh/hpz041
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.1093/ajh/hpz041
BACKGROUND The prognostic value of the dipping categories of diastolic blood pressure (DBP) is unknown. This study aimed to investigate the association between DBP dipping categories of diastolic blood pressure and echocardiographic changes in untreated masked hypertension (MH) patients. METHODS This retrospective study included 721 untreated MH patients between June 2006 and June 2016. Nocturnal dipping categories were defined according to the percentage decrease in nocturnal blood pressure (BP) compared to daytime BP as follows: non-dipping: decrease 0% to <10%, dipping: decrease 10% to 20%, reverse dipping: decrease <0%, and extreme dipping: decrease >20%. The echocardiographic findings were analyzed. RESULTS The 4 echocardiographic parameters (left atrium [LA] dimension, interventricular septum [IVS] thickness, linear left ventricular end-diastolic dimension [LVEDD], and left ventricular [LV] mass) were significantly different among the 4 DBP dipping categories. Multivariate linear regression analysis showed that DBP reverse dipping pattern was associated with higher IVS thickness (B: 0.53, 95% CI: 0.24 to 0.82; P < 0.001) and LV mass (B: 12.36, 95% CI: 2.38 to 22.35; P = 0.015), whereas DBP extreme dipping was associated with lower LVEDD (B: −7.05, 95% CI: −11.30 to −2.80; P = 0.001).The nocturnal systolic hypertension was associated with higher IVS thickness (B: 0.42, 95% CI: 0.14 to 0.71; P = 0.003) and LV mass (B:14.21, 95% CI: 4.54 to 23.88; P = 0.004). The nocturnal systolic blood pressure was associated with LA dimension, IVS thickness, left ventricular posterior wall thickness, and LV mass (all Ps < 0.05). CONCLUSIONS These results suggest that specific DBP dipping categories and nocturnal systolic hypertension were the predictive factors for the echocardiographic changes in untreated MH patients.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1093/ajh/hpz041
- https://academic.oup.com/ajh/article-pdf/32/6/588/28575320/hpz041.pdf
- OA Status
- bronze
- Cited By
- 6
- References
- 40
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2923404357
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W2923404357Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1093/ajh/hpz041Digital Object Identifier
- Title
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Diastolic Reverse Dipping Pattern Is the Predictor for the Echocardiographic Changes in the Untreated Masked Hypertensive PatientsWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2019Year of publication
- Publication date
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2019-03-20Full publication date if available
- Authors
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Jianhao Li, Yalin Cao, Chen Liu, Jiayong Li, Fengjuan Yao, Yugang Dong, Huiling HuangList of authors in order
- Landing page
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https://doi.org/10.1093/ajh/hpz041Publisher landing page
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https://academic.oup.com/ajh/article-pdf/32/6/588/28575320/hpz041.pdfDirect link to full text PDF
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YesWhether a free full text is available
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bronzeOpen access status per OpenAlex
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https://academic.oup.com/ajh/article-pdf/32/6/588/28575320/hpz041.pdfDirect OA link when available
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Medicine, Cardiology, Diastole, Internal medicine, Blood pressureTop concepts (fields/topics) attached by OpenAlex
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6Total citation count in OpenAlex
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2021: 3, 2019: 3Per-year citation counts (last 5 years)
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40Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.echocardiographic | 32, 96, 103, 265 |
| cited_by_percentile_year.max | 97 |
| cited_by_percentile_year.min | 95 |
| corresponding_author_ids | https://openalex.org/A5101839713 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 7 |
| corresponding_institution_ids | https://openalex.org/I157773358, https://openalex.org/I4210128921 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/3 |
| sustainable_development_goals[0].score | 0.800000011920929 |
| sustainable_development_goals[0].display_name | Good health and well-being |
| citation_normalized_percentile.value | 0.77171244 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |