Evidence map›Paper›PMID 36729476›Full record

ArticleTranslational vision science & technology2023

Associations of Midlife and Late-Life Blood Pressure Status With Late-Life Retinal OCT Measures.

Nathan Pan-Doh, Xinxing Guo, Lubaina T Arsiwala-Scheppach, Keenan A Walker, A Richey Sharrett, Alison G Abraham, Pradeep Y Ramulu

Abstract read
In one paragraph

Article in Translational vision science & technology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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0cells of the map it votes in
2citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Nathan Pan-DohWilmer Eye Institute, Johns Hopkins Medicine, Baltimore, MD, USA.
Xinxing GuoWilmer Eye Institute, Johns Hopkins Medicine, Baltimore, MD, USA.
Lubaina T Arsiwala-ScheppachWilmer Eye Institute, Johns Hopkins Medicine, Baltimore, MD, USA.
Keenan A WalkerLaboratory of Behavioral Neuroscience, National Institute on Aging, Intramural Research Program, Baltimore, MD, USA.
A Richey SharrettDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Alison G AbrahamDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Pradeep Y RamuluWilmer Eye Institute, Johns Hopkins Medicine, Baltimore, MD, USA.

Funding

Understanding sex differences and the impact of image quality on OCT-derived measures of retinal microvascular health as surrogates of brain pathology for cognitive disease.R01AG052412 · NIA · JOHNS HOPKINS UNIVERSITY · PI ABRAHAM, ALISON G, RAMULU, PRADEEP YAMMANURU · 2016 to 2019
$2.6M
NHLBI NIH HHS HHSN268201700001INHLBI NIH HHS HHSN268201700002INHLBI NIH HHS HHSN268201700003INHLBI NIH HHS HHSN268201700004INHLBI NIH HHS HHSN268201700005INIA NIH HHS R01 AG052412
6 · The paper itself

Abstract

Purpose: To explore the relationship of long-term blood pressure (BP) patterns with late-life optical coherence tomography (OCT) structural measures reflecting optic nerve health. Methods: Participants in this community-based cohort study of black and white individuals were part of the Atherosclerosis Risk in Communities study and the nested Eye Determinants of Cognition (EyeDOC) study. Participants had BP measured six times from 1987 to 2017 and were categorized into five BP patterns: sustained normotension; midlife normotension, late-life hypertension (systolic BP [SBP] >140 mmHg or diastolic BP [DBP] >90 mmHg or antihypertensive medication use); sustained hypertension; midlife normotension, late-life hypotension (SBP <90 mmHg or DBP <60 mmHg); and midlife hypertension, late-life hypotension. Multivariable linear regression modeling was used to evaluate associations between BP patterns and late-life OCT ganglion cell complex (GCC) and peripapillary retinal nerve fiber layer (RNFL) thickness. Results: In total, 931 eyes of 931 participants (mean age at EyeDOC visit = 80 years; 63% female; 45% black) were included. Mean GCC and RNFL thicknesses in the sustained normotension pattern were 90.8 ± 10.3 µm and 89.9 ± 11.2 µm versus 89.4 ± 11.9 µm and 90.1 ± 12.2 µm in the sustained hypertension pattern (P > 0.05). Compared to the sustained normotension pattern, no significant differences in GCC or RNFL thickness were found for any anomalous BP pattern. Conclusions: Assessment of long-term BP status showed no significant associations with late-life OCT structural measures. Translational Relevance: OCT imaging results in our population-based sample suggest that neither hypertension, even when present in midlife, nor late-life hypotension are significant risk factors for late-life optic nerve damage.

Indexed as

HypertensionHypotensionOptic DiskAged, 80 and overBlood PressureCohort StudiesFemaleHumansMaleRetinal Ganglion CellsTomography, Optical Coherence

Identifiers

PMID36729476
PMCPMC9907367

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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.