Current Advances in Care, Prevention and Rehabilitation for Geriatric Disease Using Telemedicine with a Focus on Frailty Syndrome Detection and Its Management

A special issue of Journal of Clinical Medicine (ISSN 2077-0383). This special issue belongs to the section "Clinical Rehabilitation".

Deadline for manuscript submissions: 27 June 2024 | Viewed by 431

Special Issue Editors


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Guest Editor
Internal Medicine Department, University Hospital Strasbourg, 67000 Strasbourg, France
Interests: frailty syndrome; telemonitoring; comprehensive geriatric assessment; telemedicine; hypervitaminosis B12 syn-drome; hematological disease in the elderly; vitamin B12-related diseases
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Guest Editor
Internal Medicine Department, University Hospital Strasbourg, 67000 Strasbourg, France
Interests: hematological diseases; vitamin B12-related diseases; telemedicine; heart failure prevention; telemonitoring
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Nanomedicine Imagery & Therapeutics Laboratory, EA4662—UBFC, UTBM, 90000 Belfort, France
Interests: telemedicine; artificial intelligence; nanomedicine; software engineering
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Geriatric syndromes such as falls, confusion, iatrogenesis and the exacerbation of frequent comorbidities such as heart failure and diabetes are priorities for all health professionals, with a significant impact both for the elderly and their caregivers and for professionals along the entire health journey, going from the general practitioner's office to the nursing home via the emergency department and the hospital unit. Their appearance or decompensation negatively impacts the quality of life and balance of elderly people and generates increasingly significant costs. Their detection at an early stage is therefore a priority.

Telemedicine and remote medical monitoring focused on the elderly are tools that are still poorly developed in the elderly, but some work is beginning to emphasize the early detection of exacerbation of geriatric syndromes. Likewise, the prevention of geriatric syndromes also involves the detection of frailty syndromes, on an outpatient basis or in a hospital setting.

This Special Issue aims to share all the work that you have undertaken on the role and challenges of screening for geriatric syndromes, including preliminary studies and conceptual work or even work in progress that deserves our full attention.

Dr. Abrar-Ahmad Zulfiqar
Dr. Emmanuel Andrès
Dr. Amir El Assani Hajjam
Guest Editors

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Keywords

  • frailty syndrome
  • telemedicine in the elderly
  • telemonitoring of main geriatric diseases

Published Papers (1 paper)

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14 pages, 413 KiB  
Brief Report
Assessment of the Zulfiqar Frailty Scale (ZFS) in Primary Healthcare
by Abrar-Ahmad Zulfiqar and Emmanuel Andres
J. Clin. Med. 2024, 13(12), 3481; https://doi.org/10.3390/jcm13123481 - 14 Jun 2024
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Abstract
Introduction: The primary aim of the study was to validate the Zulfiqar Frailty Scale (ZFS) and examine its concordance with the modified Short Emergency Geriatric Assessment (mSEGA) scale, Part A. Methods: A prospective observational study was conducted in Guadeloupe (France) over a two-month [...] Read more.
Introduction: The primary aim of the study was to validate the Zulfiqar Frailty Scale (ZFS) and examine its concordance with the modified Short Emergency Geriatric Assessment (mSEGA) scale, Part A. Methods: A prospective observational study was conducted in Guadeloupe (France) over a two-month duration (from 20 February to 20 April 2024), involving elderly individuals aged 65 and older, deemed self-sufficient with an ADL (Activities of Daily Living) score exceeding four out of six. Results: Within this community cohort of 98 individuals, averaging 75 years in age, frailty according to the modified SEGA criteria was prevalent in 29%. Frailty according to the “ZFS” score was prevalent in 40%. Key predictors of frailty identified in our study included age, comorbidity (Charlson score), polypharmacy (total number of medications and therapeutic classes), and functional ability (ADL scores). Notably, experiences of falls and hospitalizations within the past six months significantly influenced the classification of frailty according to both ZFS and SEGA scales. Significant associations with the presence of home care aides (p < 0.0001), monopodal support test results (p < 0.0001), memory impairments (p < 0.0001), and recent hospitalizations (p = 0.0054) underscored the multidimensional impact of frailty. The Pearson correlation coefficient and its 95% confidence interval between the SEGA and Zulfiqar Frailty Scales stood at 0.73 [0.61: 0.81]. The discernment threshold for frailty was set at three out of six criteria, showcasing a sensitivity of 64% and a negative predictive value of 80%. The area under the curve (AUC) for the Zulfiqar Frailty Scale was reported as 0.8. Conclusion: The “ZFS” tool allows for the detection of frailty with a highly satisfactory sensitivity and negative predictive value. Full article
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