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. 2024 May 13:5:1396636.
doi: 10.3389/fragi.2024.1396636. eCollection 2024.

Associating frailty and dynamic dysregulation between motor and cardiac autonomic systems

Affiliations

Associating frailty and dynamic dysregulation between motor and cardiac autonomic systems

Patricio Arrué et al. Front Aging. .

Abstract

Frailty is a geriatric syndrome associated with the lack of physiological reserve and consequent adverse outcomes (therapy complications and death) in older adults. Recent research has shown associations between heart rate (HR) dynamics (HR changes during physical activity) with frailty. The goal of the present study was to determine the effect of frailty on the interconnection between motor and cardiac systems during a localized upper-extremity function (UEF) test. Fifty-six individuals aged 65 or above were recruited and performed the previously developed UEF test consisting of 20-s rapid elbow flexion with the right arm. Frailty was assessed using the Fried phenotype. Wearable gyroscopes and electrocardiography were used to measure motor function and HR dynamics. In this study, the interconnection between motor (angular displacement) and cardiac (HR) performance was assessed, using convergent cross-mapping (CCM). A significantly weaker interconnection was observed among pre-frail and frail participants compared to non-frail individuals (p < 0.01, effect size = 0.81 ± 0.08). Using logistic models, pre-frailty and frailty were identified with sensitivity and specificity of 82%-89%, using motor, HR dynamics, and interconnection parameters. Findings suggested a strong association between cardiac-motor interconnection and frailty. Adding CCM parameters in a multimodal model may provide a promising measure of frailty.

Keywords: cardiac autonomic system; convergent cross-mapping (CCM); frailty; heart rate dynamics; motor performance; physiology network; upper-extremity function; wearable sensors.

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Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Figures

FIGURE 1
FIGURE 1
The area under the receiver operator characteristics (ROC) curve for the UEF motor score, the previous multimodal test (HR + UEF motor score), and the current model incorporating the CCM parameter (HR + UEF motor + CCM).

Update of

References

    1. Anderson R., Jönsson P., Sandsten M. (2018). “Effects of Age, BMI, Anxiety and Stress on the Parameters of a Stochastic Model for Heart Rate Variability Including Respiratory Information,” in Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2018) - BIOSIGNALS (SciTePress), 17–25. 10.5220/0006512900170025 - DOI
    1. Arêas G. P. T., Caruso F. C. R., Simões R. P., Castello-Simões V., Jaenisch R. B., Sato T. O., et al. (2018). Ultra-short-term heart rate variability during resistance exercise in the elderly. Braz J. Med. Biol. Res. 51 (6), e6962. 10.1590/1414-431x20186962 - DOI - PMC - PubMed
    1. Arslan U., Özdemir M., Kocaman S. A., Balcioǧlu S., Cemri M., Çengel A. (2008). Heart rate variability and heart rate turbulence in mild-to-moderate aortic stenosis. Europace 10 (12), 1434–1441. 10.1093/europace/eun251 - DOI - PubMed
    1. World Medical Association (2013). World Medical Association Declaration of Helsinki: ethical principles for medical research involving human subjects. JAMA 310 (20), 2197–2194. 10.1001/jama.2013.281053 - DOI - PubMed
    1. Bartsch R. P., Liu K. K. L., Bashan A., Ivanov P. C. (2015). Network physiology: how organ systems dynamically interact. PLoS One 10 (11), 01421433–e142236. 10.1371/journal.pone.0142143 - DOI - PMC - PubMed

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