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Novel insights into the association between seasonal variations, blood pressure, and blood pressure variability in patients with new-onset essential hypertension
BACKGROUND: Blood pressure (BP) exhibits seasonal variations, with peaks reported in winter. However, the association between seasonal variations and blood pressure variability in patients with new-onset essential hypertension is not fully understood. This study evaluated the potential association o...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9461197/ https://www.ncbi.nlm.nih.gov/pubmed/36076170 http://dx.doi.org/10.1186/s12872-022-02840-1 |
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author | Tang, Long Zhang, Jingshui Xu, Yanan Xu, Tingting Yang, Yi Wang, Jun |
author_facet | Tang, Long Zhang, Jingshui Xu, Yanan Xu, Tingting Yang, Yi Wang, Jun |
author_sort | Tang, Long |
collection | PubMed |
description | BACKGROUND: Blood pressure (BP) exhibits seasonal variations, with peaks reported in winter. However, the association between seasonal variations and blood pressure variability in patients with new-onset essential hypertension is not fully understood. This study evaluated the potential association of seasonal variations with new-onset essential hypertension. METHODS: This retrospective observational study recruited a total of 440 consecutive patients with new-onset essential hypertension who underwent 24-h ambulatory electrocardiograph (ECG) and BP measurement at our department between January 2019 and December 2019. Demographic and baseline clinical data including BP variability, heart rate variability, and blood tests were retrieved. Multivariate linear regression analysis was performed to identify factors independently associated with mean BP and BP variability. RESULTS: Among the 440 patients recruited, 93 cases were admitted in spring, 72 in summer, 151 in autumn, and 124 in winter. Univariate analysis revealed that systolic BP (SBP), diastolic BP (DBP), high-sensitivity C-reactive protein, SBP drop rate, DBP drop rate, 24-h standard deviation of SBP, 24-h standard deviation of DBP, 24-h SBP coefficient of variation, and 24-h DBP coefficient of variation were associated with patients admitted in winter (P < 0.05 for all). Multivariate linear regression analysis showed that winter was the influencing factor of 24-h standard deviation of SBP (B = 1.851, t = 3.719, P < 0.001), 24-h standard deviation of DBP (B = 1.176, t = 2.917, P = 0.004), 24-h SBP coefficient of variation (B = 0.015, t = 3.670, P < 0.001), and 24-h DBP coefficient of variation (B = 0.016, t = 2.849, P = 0.005) in hypertensive patients. CONCLUSIONS: Seasonal variations are closely associated with BP variability in patients with new-onset essential hypertension. Our study provides insight into the underlying pathogenesis of new-onset essential hypertension. |
format | Online Article Text |
id | pubmed-9461197 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-94611972022-09-10 Novel insights into the association between seasonal variations, blood pressure, and blood pressure variability in patients with new-onset essential hypertension Tang, Long Zhang, Jingshui Xu, Yanan Xu, Tingting Yang, Yi Wang, Jun BMC Cardiovasc Disord Research BACKGROUND: Blood pressure (BP) exhibits seasonal variations, with peaks reported in winter. However, the association between seasonal variations and blood pressure variability in patients with new-onset essential hypertension is not fully understood. This study evaluated the potential association of seasonal variations with new-onset essential hypertension. METHODS: This retrospective observational study recruited a total of 440 consecutive patients with new-onset essential hypertension who underwent 24-h ambulatory electrocardiograph (ECG) and BP measurement at our department between January 2019 and December 2019. Demographic and baseline clinical data including BP variability, heart rate variability, and blood tests were retrieved. Multivariate linear regression analysis was performed to identify factors independently associated with mean BP and BP variability. RESULTS: Among the 440 patients recruited, 93 cases were admitted in spring, 72 in summer, 151 in autumn, and 124 in winter. Univariate analysis revealed that systolic BP (SBP), diastolic BP (DBP), high-sensitivity C-reactive protein, SBP drop rate, DBP drop rate, 24-h standard deviation of SBP, 24-h standard deviation of DBP, 24-h SBP coefficient of variation, and 24-h DBP coefficient of variation were associated with patients admitted in winter (P < 0.05 for all). Multivariate linear regression analysis showed that winter was the influencing factor of 24-h standard deviation of SBP (B = 1.851, t = 3.719, P < 0.001), 24-h standard deviation of DBP (B = 1.176, t = 2.917, P = 0.004), 24-h SBP coefficient of variation (B = 0.015, t = 3.670, P < 0.001), and 24-h DBP coefficient of variation (B = 0.016, t = 2.849, P = 0.005) in hypertensive patients. CONCLUSIONS: Seasonal variations are closely associated with BP variability in patients with new-onset essential hypertension. Our study provides insight into the underlying pathogenesis of new-onset essential hypertension. BioMed Central 2022-09-08 /pmc/articles/PMC9461197/ /pubmed/36076170 http://dx.doi.org/10.1186/s12872-022-02840-1 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Tang, Long Zhang, Jingshui Xu, Yanan Xu, Tingting Yang, Yi Wang, Jun Novel insights into the association between seasonal variations, blood pressure, and blood pressure variability in patients with new-onset essential hypertension |
title | Novel insights into the association between seasonal variations, blood pressure, and blood pressure variability in patients with new-onset essential hypertension |
title_full | Novel insights into the association between seasonal variations, blood pressure, and blood pressure variability in patients with new-onset essential hypertension |
title_fullStr | Novel insights into the association between seasonal variations, blood pressure, and blood pressure variability in patients with new-onset essential hypertension |
title_full_unstemmed | Novel insights into the association between seasonal variations, blood pressure, and blood pressure variability in patients with new-onset essential hypertension |
title_short | Novel insights into the association between seasonal variations, blood pressure, and blood pressure variability in patients with new-onset essential hypertension |
title_sort | novel insights into the association between seasonal variations, blood pressure, and blood pressure variability in patients with new-onset essential hypertension |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9461197/ https://www.ncbi.nlm.nih.gov/pubmed/36076170 http://dx.doi.org/10.1186/s12872-022-02840-1 |
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