Please use this identifier to cite or link to this item: doi:10.22028/D291-35048
Title: Osteosarcopenia, an Asymmetrical Overlap of Two Connected Syndromes: Data from the OsteoSys Study
Author(s): Pourhassan, Maryam
Buehring, Bjoern
Stervbo, Ulrik
Rahmann, Sven
Mölder, Felix
Rütten, Sebastian
Trampisch, Ulrike
Babel, Nina
Westhoff, Timm Henning
Wirth, Rainer
Language: English
Title: Nutrients
Volume: 13
Issue: 11
Publisher/Platform: MDPI
Year of Publication: 2021
Free key words: osteopenia
bone mineral density
muscle mass
DDC notations: 004 Computer science, internet
Publikation type: Journal Article
Abstract: Osteoporosis and sarcopenia are two chronic conditions, which widely affect older people and share common risk factors. We investigated the prevalence of low bone mineral density (BMD) and sarcopenia, including the overlap of both conditions (osteosarcopenia) in 572 older hospitalized patients (mean age 75.1 ± 10.8 years, 78% women) with known or suspected osteoporosis in this prospective observational multicenter study. Sarcopenia was assessed according to the revised defini tion of the European Working Group on Sarcopenia in Older People (EWGSOP2). Low BMD was defined according to the World Health Organization (WHO) recommendations as a T-score < −1.0. Osteosarcopenia was diagnosed when both low BMD and sarcopenia were present. Low BMD was prevalent in 76% and the prevalence of sarcopenia was 9%, with 90% of the sarcopenic patients showing the overlap of osteosarcopenia (8% of the entire population). Conversely, only few patients with low BMD demonstrated sarcopenia (11%). Osteosarcopenic patients were older and frailer and had lower BMI, fat, and muscle mass, handgrip strength, and T-score compared to nonosteosar copenic patients. We conclude that osteosarcopenia is extremely common in sarcopenic subjects. Considering the increased risk of falls in patients with sarcopenia, they should always be evaluated for osteoporosis.
DOI of the first publication: 10.3390/nu13113786
Link to this record: urn:nbn:de:bsz:291--ds-350480
ISSN: 2072-6643
Date of registration: 5-Jan-2022
Faculty: MI - Fakultät für Mathematik und Informatik
Department: MI - Informatik
Professorship: MI - Dr. Sven Rahmann
Collections:SciDok - Der Wissenschaftsserver der Universität des Saarlandes

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