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研究方案:MRC 国民健康与发展调查的心脏子研究——MyoFit46

Study protocol: MyoFit46-the cardiac sub-study of the MRC National Survey of Health and Development.

机构信息

Barts Heart Centre, Barts Health NHS Trust, West Smithfield, London, ECIA 7BE, UK.

Institute of Cardiovascular Science, University College London, Huntley Street, London, WC1E 6DD, UK.

出版信息

BMC Cardiovasc Disord. 2022 Apr 1;22(1):140. doi: 10.1186/s12872-022-02582-0.

DOI:10.1186/s12872-022-02582-0
PMID:35365075
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8972905/
Abstract

BACKGROUND

The life course accumulation of overt and subclinical myocardial dysfunction contributes to older age mortality, frailty, disability and loss of independence. The Medical Research Council National Survey of Health and Development (NSHD) is the world's longest running continued surveillance birth cohort providing a unique opportunity to understand life course determinants of myocardial dysfunction as part of MyoFit46-the cardiac sub-study of the NSHD.

METHODS

We aim to recruit 550 NSHD participants of approximately 75 years+ to undertake high-density surface electrocardiographic imaging (ECGI) and stress perfusion cardiovascular magnetic resonance (CMR). Through comprehensive myocardial tissue characterization and 4-dimensional flow we hope to better understand the burden of clinical and subclinical cardiovascular disease. Supercomputers will be used to combine the multi-scale ECGI and CMR datasets per participant. Rarely available, prospectively collected whole-of-life data on exposures, traditional risk factors and multimorbidity will be studied to identify risk trajectories, critical change periods, mediators and cumulative impacts on the myocardium.

DISCUSSION

By combining well curated, prospectively acquired longitudinal data of the NSHD with novel CMR-ECGI data and sharing these results and associated pipelines with the CMR community, MyoFit46 seeks to transform our understanding of how early, mid and later-life risk factor trajectories interact to determine the state of cardiovascular health in older age.

TRIAL REGISTRATION

Prospectively registered on ClinicalTrials.gov with trial ID: 19/LO/1774 Multimorbidity Life-Course Approach to Myocardial Health- A Cardiac Sub-Study of the MCRC National Survey of Health and Development (NSHD).

摘要

背景

明显和亚临床心肌功能障碍的生命过程累积导致老年死亡率、虚弱、残疾和丧失独立性。医学研究委员会全国健康与发展调查(NSHD)是世界上运行时间最长的持续监测出生队列,为了解心肌功能障碍的生命过程决定因素提供了独特的机会,这是 NSHD 心脏子研究 MyoFit46 的一部分。

方法

我们的目标是招募大约 75 岁以上的 550 名 NSHD 参与者,进行高密度体表心电图成像(ECGI)和应激灌注心血管磁共振(CMR)检查。通过全面的心肌组织特征化和 4 维血流,我们希望更好地了解临床和亚临床心血管疾病的负担。超级计算机将用于组合每位参与者的多尺度 ECGI 和 CMR 数据集。我们将研究罕见的、前瞻性收集的暴露、传统风险因素和多疾病的整个生命周期的数据,以确定风险轨迹、关键变化期、中介因素和对心肌的累积影响。

讨论

通过结合 NSHD 精心策划、前瞻性获取的纵向数据与新颖的 CMR-ECGI 数据,并与 CMR 社区共享这些结果和相关管道,MyoFit46 旨在改变我们对早期、中期和后期生命风险因素轨迹如何相互作用来确定老年心血管健康状况的理解。

试验注册

前瞻性注册于 ClinicalTrials.gov,试验 ID:19/LO/1774 多病生命过程方法对心肌健康的影响- MCRC 全国健康与发展调查(NSHD)的心脏子研究。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7186/8976315/d13a2b6960a2/12872_2022_2582_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7186/8976315/ece348243e25/12872_2022_2582_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7186/8976315/97e499c4e972/12872_2022_2582_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7186/8976315/d6d416a723b5/12872_2022_2582_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7186/8976315/7b735c4f578c/12872_2022_2582_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7186/8976315/01b0ece40457/12872_2022_2582_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7186/8976315/d13a2b6960a2/12872_2022_2582_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7186/8976315/ece348243e25/12872_2022_2582_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7186/8976315/97e499c4e972/12872_2022_2582_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7186/8976315/d6d416a723b5/12872_2022_2582_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7186/8976315/7b735c4f578c/12872_2022_2582_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7186/8976315/01b0ece40457/12872_2022_2582_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7186/8976315/d13a2b6960a2/12872_2022_2582_Fig6_HTML.jpg

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