A Non-invasive Method for Biological Age Estimation Using Frailty Phenotype Assessment

Pierleoni, Paola; Belli, Alberto; Concetti, Roberto; Palma, Lorenzo; Pinti, Federica; Raggiunto, Sara; Valenti, Salvatore; Monteriù, Andrea

doi:10.1007/978-3-030-05921-7_7

Cited by 4 publications

(5 citation statements)

References 24 publications

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“…Starting from the data acquired in the proposed protocol, the developed eHealth system is able to provides the FP assessment and the BA estimation of a elderly subject, taking into account the FP measured on a reference sample of different age. The results of this work show the FP assessment and the BA estimation providing a comparison between the results obtained from the proposed eHealth system, the outcome of our previous work (Pierleoni et al 2018) and those derived analyzing data coming from the study of Theou et al (2014).…”

Section: Biological Age and Frailty Evaluationmentioning

confidence: 79%

“…Our research aims to propose a non-invasive method for biological age evaluation through the FP assessment of a subject. In our previous study (Pierleoni et al 2018), we have proposed a methodology to estimate the biological age based on a FP assessment carried out according to Fried's protocol. In this work the data relating to FP assessment were compared with those obtained from the study of Theou et al (2014) in which the characteristics of frailty have identified, taking into account the frailty phenotype assessment measured of a sample of 27,527 Europeans.…”

Section: Biological Age and Frailty Evaluationmentioning

confidence: 99%

“…2. The model obtained from our previous work (Pierleoni et al 2018) and represented in Fig. 2 can be exploited to identify the BA starting from the evaluation of the FP.…”

Section: Biological Age and Frailty Evaluationmentioning

confidence: 99%

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Biological age estimation using an eHealth system based on wearable sensors

Pierleoni

Belli

Concetti

et al. 2019

J Ambient Intell Human Comput

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The rapid worldwide aging makes necessary the development of advanced technologies for the objective identification of diseases and disabilities onset. Accordingly, we need to regard the biological age as an alternative and more reliable indicator of the physiological decline of individuals, respect to the simple chronological age. In this paper, we present an eHealth system for estimate the biological age of elderly people starting from the assessment of the frailty phenotype. The frailty phenotype evaluation is made possible using a standard protocol for data acquisition and a cloud application for processing and storing data. The proposed eHealth system is also equipped with wireless, small and non-invasive wearable sensors for an objective evaluation of the mobility of a subject. The eHealth system is tested on a reference population in order to have an amount of data necessary for defining a model to estimate the biological age. The use of the presented system on a reference population, and the availability of data regarding their mobility, allow the validation of the proposed model for the computation of the biological age via simple and objective frailty phenotype assessment.

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Section: Biological Age and Frailty Evaluationmentioning

confidence: 79%

Section: Biological Age and Frailty Evaluationmentioning

confidence: 99%

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Biological age estimation using an eHealth system based on wearable sensors

Pierleoni

Belli

Concetti

et al. 2019

J Ambient Intell Human Comput

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“…This term is used to refer to a data network with extremely low-latency in analogy to the human tactile system that works at extreme response speeds. In this regard, others experimental solutions have been proposed [2,61] but the real challenge will be to develop data network able to deliver data within one millisecond latency. Such technology would enable previously unimaginable scenarios in automation and remote assistance and countless potential applications such as remote surgery, industrial control, high-precision agriculture, robotics, etc.…”

Section: Wireless Body Sensor Networkmentioning

confidence: 99%

Telecommunications in the ICT Age: From Research to Applications

Baldi

Cancellieri

Chiaraluce

et al. 2019

The First Outstanding 50 Years of “Università Politecnica Delle Marche”

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The human society in the information age deeply relies on digital information processing, communication and storage. Photonic routing and switching is expected to be exploited in future all-optical networks. Channel coding is needed in order to protect information against natural disturbances, and modern coding schemes are able to reach the ultimate limits predicted by Shannon. On the other hand, postquantum cryptography is necessary for assuring security against cyber attackers, possibly provided with quantum computers. Source coding, especially in video data compression, is recommended for optimizing the bandwidth usage. Spread spectrum systems can solve the problem of radio transmissions over common frequency bands. These technologies are of crucial importance for the evolution of networks and of the whole Internet, allowing people to interact each other and access information in the web. Nowadays, the conventional Internet of people has moved into the pervasive Internet of Things providing innovative services in a variety of application fields. In this respect, domotic systems, based on ambient and wearable sensors, appear of dramatic importance in the design of future assisted living protocols.

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“…6 Various clinical scores intend to describe a limited physiological reserve (e.g., the clinical frailty scale [CFS] and modified frailty index), but these are insufficient in the evaluation process for LTx candidates with end-stage lung disease. [7][8][9][10] CT-based morphometric variables, such as the muscle and fat content, might be a useful tool with which to guide the selection of appropriate LTx candidates. 11 Data on the objective measurement of biological age in a homogenous cohort of >60 years LTx recipients are lacking.…”

Section: Introductionmentioning

confidence: 99%

Computed Tomography-Based Body Composition is Related to Perioperative Morbidity in Older Lung Transplant Recipients

Kifjak,

Prosch,

Schwarz

et al. 2024

Thorac Cardiovasc Surg

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Background In older patients, a limited physical reserve is considered a contraindication for lung transplantation (LTx). Herein, we aimed to establish a computed tomography (CT)-based quantification of physical reserve in older patients scheduled for transplantation. Methods This retrospective study included patients older than 60 years who received LTx. Semiautomatic measurements of the mediastinal fat area and the dorsal muscle group area in pretransplantation CT scans were performed, and normalized data were correlated with clinical parameters. Results Patients (n = 108) were assigned into three groups (Musclehighfatlow [n = 25], Musclelowfathigh [n = 24], and other combinations [n = 59]). The Musclelowfathigh group had a significantly increased risk of wound infections (p = 0.002) and tracheostomy (p = 0.001) compared with Musclehighfatlow patients. The median length of intensive care unit stay (25 vs. 3.5 days; p = 0.002) and the median length of hospital stay (44 vs. 22.5 days; p = 0.013) post-LTx were significantly prolonged in the Musclelowfathigh group. Significantly more patients in this group had a prolonged ventilation time (11 vs. 0; p < 0.001). Conclusion Body composition parameters determined in pretransplant chest CT scans in older LTx candidates might aid in identifying high-risk patients with a worse perioperative outcome after LTx.

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A Non-invasive Method for Biological Age Estimation Using Frailty Phenotype Assessment

Cited by 4 publications

References 24 publications

Biological age estimation using an eHealth system based on wearable sensors

Biological age estimation using an eHealth system based on wearable sensors

Telecommunications in the ICT Age: From Research to Applications

Computed Tomography-Based Body Composition is Related to Perioperative Morbidity in Older Lung Transplant Recipients

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