Literature DB >> 30502752

The health economics burden of sarcopenia: a systematic review.

Olivier Bruyère1, Charlotte Beaudart2, Olivier Ethgen2, Jean-Yves Reginster2, Médéa Locquet2.   

Abstract

Despite of better knowledge about sarcopenia, an optimal understanding of its consequences from a public health perspective remains a challenge. Specifically, the economic burden of the illness is unclear. As a support for the public health policy makers and other health actors, our objective was to perform a systematic review of the literature comparing healthcare costs between sarcopenic and non-sarcopenic patients (under the registration number CRD42018099291). A search for relevant articles was conducted on the Medline and Scopus databases. Rigorous eligibility criteria were established (e.g., subjects with sarcopenia, both men and women, mean age of the sarcopenic population) and applied by two investigators to identify suitable studies. The first screening phase, performed by 2 independent reviewers, covered 455 references. Fourteen relevant studies were included in the final analysis. Overall, we noted an important heterogeneity between studies in the way of assessing sarcopenia (i.e. operational definitions, tools and cut-offs used). There were also large variations between studies in their cost analysis settings (i.e., discrepancies in time horizon, types and sources of economic data). Most of the studies focused on hospitalization costs following surgery for a specific disease such as cancer. Finally, 11 out of the 14 studies reported higher healthcare costs for sarcopenic patients. However, most of the included studies have important methodological bias (e.g. potential confusion factors rarely taken into account), and low to moderate quality scores. More standardized research, taking into account all the limitations of the published studies, should be conducted to assess the true impact of sarcopenia on healthcare consumption.
Copyright © 2018 The Authors. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  economic; sarcopenia; systematic review

Mesh:

Year:  2018        PMID: 30502752     DOI: 10.1016/j.maturitas.2018.11.003

Source DB:  PubMed          Journal:  Maturitas        ISSN: 0378-5122            Impact factor:   4.342


  37 in total

1.  Malnutrition, assessed by the Global Leadership Initiative on Malnutrition (GLIM) criteria but not by the mini nutritional assessment (MNA), predicts the incidence of sarcopenia over a 5-year in the SarcoPhAge cohort.

Authors:  Laetitia Lengelé; Olivier Bruyère; Charlotte Beaudart; Jean-Yves Reginster; Médéa Locquet
Journal:  Aging Clin Exp Res       Date:  2021-05-15       Impact factor: 3.636

2.  Machine Learning for Automatic Paraspinous Muscle Area and Attenuation Measures on Low-Dose Chest CT Scans.

Authors:  Ryan Barnard; Josh Tan; Brandon Roller; Caroline Chiles; Ashley A Weaver; Robert D Boutin; Stephen B Kritchevsky; Leon Lenchik
Journal:  Acad Radiol       Date:  2019-07-17       Impact factor: 3.173

3.  Sarcopenia affects activities of daily living recovery and hospitalization costs in older adults in convalescent rehabilitation wards.

Authors:  Takuma Yagi; Tatsuro Inoue; Masato Ogawa; Yusuke Shimada; Yasunori Heguri; Risa Okada; Shuto Iwata; Mizuho Kishimoto
Journal:  Eur Geriatr Med       Date:  2021-08-17       Impact factor: 1.710

Review 4.  Ultrasound and magnetic resonance imaging as diagnostic tools for sarcopenia in immune-mediated rheumatic diseases (IMRDs).

Authors:  Fausto Salaffi; Marina Carotti; Andrea Di Matteo; Luca Ceccarelli; Sonia Farah; Catalina Villota-Eraso; Marco Di Carlo; Andrea Giovagnoni
Journal:  Radiol Med       Date:  2022-09-20       Impact factor: 6.313

5.  Oculomics for sarcopenia prediction: a machine learning approach toward predictive, preventive, and personalized medicine.

Authors:  Bo Ram Kim; Tae Keun Yoo; Hong Kyu Kim; Ik Hee Ryu; Jin Kuk Kim; In Sik Lee; Jung Soo Kim; Dong-Hyeok Shin; Young-Sang Kim; Bom Taeck Kim
Journal:  EPMA J       Date:  2022-08-08       Impact factor: 8.836

6.  Outcome Priorities for Older Persons With Sarcopenia.

Authors:  Mickael Hiligsmann; Charlotte Beaudart; Olivier Bruyère; Emmanuel Biver; Jürgen Bauer; Alfonso J Cruz-Jentoft; Antonella Gesmundo; Sabine Goisser; Francesco Landi; Médéa Locquet; Stefania Maggi; Rene Rizzoli; Yves Rolland; Nieves Vaquero; Cyrus Cooper; Jean-Yves Reginster
Journal:  J Am Med Dir Assoc       Date:  2019-10-28       Impact factor: 4.669

Review 7.  Disease-Related Malnutrition and Sarcopenia as Determinants of Clinical Outcome.

Authors:  Fatuma Meyer; Luzia Valentini
Journal:  Visc Med       Date:  2019-09-02

8.  Characterization of the gut microbiota in hemodialysis patients with sarcopenia.

Authors:  Qifan Zhou; Hailin Zhang; Lixia Yin; Guilian Li; Wenxue Liang; Guanjie Chen
Journal:  Int Urol Nephrol       Date:  2021-11-29       Impact factor: 2.266

9.  Association between dietary protein intake and skeletal muscle mass in older Korean adults.

Authors:  Ha-Na Kim; Sang-Wook Song
Journal:  Eur Geriatr Med       Date:  2021-06-22       Impact factor: 1.710

10.  Perceived Neighborhood Environment Associated with Sarcopenia in Urban-Dwelling Older Adults: The Korean Frailty and Aging Cohort Study (KFACS).

Authors:  Yuri Seo; Miji Kim; Hyungeun Shin; Changwon Won
Journal:  Int J Environ Res Public Health       Date:  2021-06-10       Impact factor: 3.390

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.