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血压信号熵作为身体虚弱的一种新型标志物:FRAILMatics临床队列研究结果

Blood Pressure Signal Entropy as a Novel Marker of Physical Frailty: Results from the FRAILMatics Clinical Cohort.

作者信息

Knight Silvin P, Duggan Eoin, Romero-Ortuno Roman

机构信息

Discipline of Medical Gerontology, School of Medicine, Trinity College Dublin, D02 R590 Dublin, Ireland.

Falls and Syncope Unit (FASU), Mercer's Institute for Successful Ageing (MISA), St. James's Hospital, D08 E191 Dublin, Ireland.

出版信息

J Clin Med. 2022 Dec 21;12(1):53. doi: 10.3390/jcm12010053.

Abstract

In this study we investigated the association between information entropy in short length blood pressure signals and physical frailty status, in a group of patients aged 50+ recruited from the Falls and Syncope Unit at the Mercer's Institute for Successful Ageing in St James's Hospital, Dublin, Ireland. This work is an external clinical validation of findings previously derived in a population-based cohort from The Irish Longitudinal Study on Ageing (TILDA). The hypothesis under investigation was that dysregulation (as quantified by entropy) in continuous non-invasive blood pressure signals could provide a clinically useful marker of physical frailty status. We found that in the 100 patients investigated, higher entropy in continuously measured resting state diastolic blood pressure was associated with worse physical frailty score, as measured by the Frailty Instrument for primary care of the Survey of Health, Ageing and Retirement in Europe (SHARE-FI). Since physical frailty is defined as a pre-disability state and hence it can be difficult for clinicians to identify at an early stage, the quantification of entropy in short length cardiovascular signals could provide a clinically useful marker of the physiological dysregulations that underlie physical frailty, potentially aiding in identifying individuals at higher risk of adverse health outcomes.

摘要

在本研究中,我们调查了从爱尔兰都柏林圣詹姆斯医院默瑟成功老龄化研究所的跌倒与晕厥科招募的一组50岁及以上患者中,短长度血压信号中的信息熵与身体虚弱状态之间的关联。这项工作是对先前从爱尔兰老龄化纵向研究(TILDA)的基于人群的队列研究中得出的结果进行的外部临床验证。所研究的假设是,连续无创血压信号中的失调(以熵量化)可以提供身体虚弱状态的临床有用标志物。我们发现,在研究的100名患者中,通过欧洲健康、老龄化和退休调查初级保健虚弱量表(SHARE-FI)测量,连续测量的静息状态舒张压中较高的熵与较差的身体虚弱评分相关。由于身体虚弱被定义为一种残疾前状态,因此临床医生可能难以在早期识别,短长度心血管信号中熵的量化可以提供身体虚弱背后生理失调的临床有用标志物,可能有助于识别健康不良后果风险较高的个体。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/36b5/9821563/10b6a1837064/jcm-12-00053-g0A1a.jpg

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