There is a growing need to implement and evaluate the technological solutions that allow the early detection of age-related frailty and enable assessment of the predictive values of frailty components. The broad use of these solutions may ensure an efficient and sustainable response of health and social care systems to the challenges related to demographic aging. In this paper, we present the protocol of the ModulEn study that aims to develop and validate a predictive model for frailty. For this purpose, the sample composed by older adults aged 65-80 years and recruited from the community will be invited to use an electronic device ACM Kronowise® 2.0. This device allows proactive and continuous monitoring of circadian health, physical activity, and sleep and eating habits. It will be used during a period of seven to ten days. The participants will also be given the questionnaires evaluating the variables of interest, including frailty level, as well as their experience and satisfaction with the device use. Data provided from these two sources will be combined and the relevant associations will be identified. In our view, the implications of this study' findings for clinical practice include the possibility to develop and validate tools for timely prevention of frailty progress. In the long term, the ModulEn may contribute to the critical reduction of frailty burden in Europe.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6581487PMC

Publication Analysis

Top Keywords

frailty
8
model frailty
8
develop validate
8
will
5
study protocol
4
protocol development
4
development validation
4
validation clinical
4
clinical prediction
4
prediction model
4

Similar Publications

In 2020, the UK's National Health Service (NHS) braced itself for the challenge of the COVID pandemic. Older, frail adults were among those at highest risk for morbidity and mortality. This study aimed to capture the lived experiences of patients, families/carers and staff on a COVID ward.

View Article and Find Full Text PDF

Background: The incidence of primary reverse total shoulder arthroplasty (rTSA) and the prevalence of obesity have increased in the United States. Despite this, the literature assessing the effect of morbid obesity (body mass index≥40 kg/m) on perioperative surgical outcomes remains inconsistent.

Methods: A retrospective review of consecutive elective primary rTSA cases from January 2016 through September 2023 at a single tertiary referral center was performed.

View Article and Find Full Text PDF

Background: Frailty is an important prognostic indicator in older women with breast cancer. The Faurot frailty index, a validated claims-based frailty proxy measure, uses healthcare billing codes during a user-specified ascertainment window to predict frailty. We assessed how the duration of frailty ascertainment affected the ability of the Faurot frailty index to predict one-year mortality in women with stage I-II breast cancer.

View Article and Find Full Text PDF

Rectal cancer's prevalence increases with an aging population, disproportionately affecting the elderly. The suitability of surgical interventions for this demographic is contentious due to underrepresentation during surgery. This study examines the practicality of utilizing Da Vinci surgery for rectal cancer patients who are 70 years and older.

View Article and Find Full Text PDF

Tailored Perioperative Medicine For Frail Patients Undergoing Vascular Surgery: A Narrative Review.

Port J Card Thorac Vasc Surg

October 2024

Department of Anesthesiology, Unidade Local de Saúde de Santa Maria, Portugal.

Frailty is a concept that is emerging as an important tool in the preoperative assessment of patients. The incidence of frailty in vascular surgery patients is high and is expected to increase concomitantly with the aging of the population. The identification of these patients and their optimization in the perioperative period can lead to an improvement in their outcomes with a reduction in morbidity and mortality.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!