Evidence map›Paper›PMID 37615223›Full record

ArticleAging cell2024

The physiologic complexity of beat-to-beat blood pressure is associated with age-related alterations in blood pressure regulation.

Xin Jiang, Xiaoying Mang, Huiting Zhou, Jingmei Chen, Huiying Tan, Huixia Ren, Baofeng Huang, Lilian Zhong, Lewis A Lipsitz, Brad Manor and 2 more

Open access · goldAbstract read
In one paragraph

Article in Aging cell, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.4field-weighted citation impact, top 10% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 11 citations in OpenAlex.

  1. Trial
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  6. Review
  7. The Physiologic Complexity of Prefrontal Oxygenation Dynamics Is Associated With Age and Executive Function: An Exploratory Study.The journals of gerontology. Series A, Biological sciences and medical sciences · 2024
    Article
  8. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors at 2 institutions in 2 countries.

Xin JiangDepartment of Geriatrics, Shenzhen People's Hospital, Shenzhen, China.
Xiaoying MangDepartment of Geriatrics, Shenzhen People's Hospital, Shenzhen, China.
Huiting ZhouDepartment of Geriatrics, Shenzhen People's Hospital, Shenzhen, China.
Jingmei ChenDepartment of Geriatrics, Shenzhen People's Hospital, Shenzhen, China.
Huiying TanDepartment of Geriatrics, Shenzhen People's Hospital, Shenzhen, China.
Huixia RenDepartment of Geriatrics, Shenzhen People's Hospital, Shenzhen, China.
Baofeng HuangDepartment of Geriatrics, Shenzhen People's Hospital, Shenzhen, China.
Lilian ZhongDepartment of Geriatrics, Shenzhen People's Hospital, Shenzhen, China.
Lewis A LipsitzHinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife, Boston, Massachusetts, USA.
Brad ManorHinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife, Boston, Massachusetts, USA.
Yi GuoThe Second Clinical Medical College, Jinan University, Shenzhen, China.
Junhong ZhouHinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife, Boston, Massachusetts, USA.ORCID 0000-0002-7931-7646
Jinan University · CNBeth Israel Deaconess Medical Center · US

Funding

Cortical mechanisms and modulation of somatosensation in older adults with foot sole somatosensory impairmentsK01AG075180 · NIA · HEBREW REHABILITATION CENTER FOR AGED · PI Junhong Zhou · 2022 to 2026
$624k
NIA NIH HHS 1K01AG075180-01NIA NIH HHS K01 AG075180
6 · The paper itself

Abstract

The fluctuations in resting-state beat-to-beat blood pressure (BP) are physiologically complex, and the degree of such BP complexity is believed to reflect the multiscale regulation of this critical physiologic process. Hypertension (HTN), one common age-related condition, is associated with altered BP regulation and diminished system responsiveness to perturbations such as orthostatic change. We thus aimed to characterize the impact of HTN on resting-state BP complexity, as well as the relationship between BP complexity and both adaptive capacity and underlying vascular characteristics. We recruited 392 participants (age: 60-91 years), including 144 that were normotensive and 248 with HTN (140 controlled- and 108 uncontrolled-HTN). Participants completed a 10-min continuous finger BP recording during supine rest, then underwent measures of lying-to-standing BP change, arterial stiffness (i.e., brachial-ankle pulse wave velocity), and endothelial function (i.e., flow-mediated vasodilation). The complexity of supine beat-to-beat systolic (SBP) and diastolic (DBP) BP was quantified using multiscale entropy. Thirty participants with HTN (16 controlled-HTN and 14 uncontrolled-HTN) exhibited orthostatic hypotension. SBP and DBP complexity was greatest in normotensive participants, lower in those with controlled-HTN, and lowest in those in uncontrolled-HTN (p < 0.0005). Lower SBP and DBP complexity correlated with greater lying-to-standing decrease in SBP and DBP level (β = -0.33 to -0.19, p < 0.01), greater arterial stiffness (β = -0.35 to -0.18, p < 0.01), and worse endothelial function (β = 0.17-0.22, p < 0.01), both across all participants and within the control- and uncontrolled-HTN groups. These results suggest that in older adults, BP complexity may capture the integrity of multiple interacting physiologic mechanisms that regulate BP and are important to cardiovascular health.

Indexed as

Cardiovascular SystemHypertensionAgedAged, 80 and overAnkle Brachial IndexBlood PressureHumansMiddle AgedPulse Wave Analysisbeat-to-beat blood pressurehypertensionmultiscale entropyorthostatic BP changephysiological complexity

Identifiers

PMID37615223
PMCPMC10776119
OpenAlexW4386116908

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.