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Geriatric Medicine: Towards Personalized Medicine
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Geriatric Medicine: Towards Personalized Medicine

A special issue of Journal of Personalized Medicine (ISSN 2075-4426). This special issue belongs to the section "Clinical Medicine, Cell, and Organism Physiology".

Deadline for manuscript submissions: 20 October 2024 | Viewed by 1029

Special Issue Editors

Prof. Dr. Barbara C. Van Munster

E-Mail Website
Guest Editor
Department of Internal Medicine, University Medical Center Groningen, University of Groningen, 9713 GZ Groningen, The Netherlands
Interests: geriatric medicine; multimorbidity; delirium
Dr. Hanna C. Willems

E-Mail Website
Guest Editor
Department of Internal Medicine and Geriatrics, Amsterdam University Medical Centers, Location AMC, Amsterdam, The Netherlands
Interests: fractures in geriatric patients; vertebral fractures; hip fractures

Special Issue Information

Dear Colleagues,

The field of geriatrics is expanding globally, driven by changing demographics. Older individuals exhibit diverse clinical profiles, marked not only by their advanced age but also by the presence of multiple chronic diseases as well as problems in the functional and psychosocial domain.

As precision medicine and personalized treatment approaches advance rapidly, new possibilities emerge in caring for geriatric patients. Tailoring treatment strategies to each patient's specific health status helps strike the right balance between over-treatment and under-treatment, aligning better with the preferences of elderly individuals.

In this Special Issue, we will explore the current state, challenges, opportunities, perspectives, and research directions within geriatrics, with a particular emphasis on enhancing treatment outcomes and the quality of life for this unique demographic. We encourage clinicians and scientists in the field to submit original articles or reviews that align with these objectives.

Prof. Dr. Barbara C. Van Munster
Dr. Hanna C. Willems
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Journal of Personalized Medicine is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • geriatrics medicine
  • advance care planning
  • personalized medicine
  • multimorbidity

Published Papers (1 paper)

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Research

13 pages, 1084 KiB  
Article
The “Can Do, Do Do” Framework Applied to Assess the Association between Physical Capacity, Physical Activity and Prospective Falls, Subsequent Fractures, and Mortality in Patients Visiting the Fracture Liaison Service
by Merle R. Schene, Caroline E. Wyers, Johanna H. M. Driessen, Lisanne Vranken, Kenneth Meijer, Joop P. van den Bergh and Hanna C. Willems
J. Pers. Med. 2024, 14(4), 337; https://doi.org/10.3390/jpm14040337 - 23 Mar 2024
Viewed by 745
Abstract
The “can do, do do” framework combines measures of poor and normal physical capacity (PC, measured by a 6 min walking test, can do/can’t do) and physical activity (PA, measured by accelerometer, do do/don’t do) into four domains and is able to categorize [...] Read more.
The “can do, do do” framework combines measures of poor and normal physical capacity (PC, measured by a 6 min walking test, can do/can’t do) and physical activity (PA, measured by accelerometer, do do/don’t do) into four domains and is able to categorize patient subgroups with distinct clinical characteristics, including fall and fracture risk factors. This study aims to explore the association between domain categorization and prospective fall, fracture, and mortality outcomes. This 6-year prospective study included patients visiting a Fracture Liaison Service with a recent fracture. Outcomes were first fall (at 3 years of follow-up, measured by fall diaries), first subsequent fracture, and mortality (at 6 years). Cumulative incidences of all three outcomes were calculated. The association between domain categorization and time to the three outcomes was assessed by uni- and multivariate Cox proportional hazard analysis with the “can do, do do” group as reference. The physical performance of 400 patients with a recent fracture was assessed (mean age: 64 years; 70.8% female), of whom 61.5%, 20.3%, and 4.9% sustained a first fall, sustained a subsequent fracture, or had died. Domain categorization using the “can do, do do” framework was not associated with time to first fall, subsequent fracture, or mortality in the multivariate Cox regression analysis for all groups. “Can’t do, don’t do” group: hazard ratio [HR] for first fall: 0.75 (95% confidence interval [CI]: 0.45–1.23), first fracture HR: 0.58 (95% CI: 0.24–1.41), and mortality HR: 1.19 (95% CI: 0.54–6.95). Categorizing patients into a two-dimensional framework seems inadequate to study complex, multifactorial outcomes. A personalized approach based on known fall and fracture risk factors might be preferable. Full article
(This article belongs to the Special Issue Geriatric Medicine: Towards Personalized Medicine)
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