Background: It has been documented that old age and chronic diseases are associated with poor prognosis and mortality among COVID-19 patients. Osteosarcopenia is a geriatric syndrome with a considerable prevalence which increases morbidity and mortality. This study investigated the relationship between COVID-19 mortality and osteosarcopenia and its parameters in-hospitalized patients in Bushehr, Iran.
Methods: In this retrospective cohort study, participants of the Bushehr Elderly Health (BEH) program who were hospitalized due to COVID-19 between 1st March 2020 and 23rd September 2021 were assessed. Osteosarcopenia was considered as the presence of both osteopenia/osteoporosis and sarcopenia. We used the Cox proportional hazards model to identify the association between oteosarcopenia and the risk of COVID-mortality in 2442 person-days.
Results: Among 4173 participants,297 patients were in-hospitalized due to COVID-19. We found that 80(26.94%) patients expired due to COVID-19 during the follow-up period. Osteosarcopenia and its parameters were more prevalent in patients who expired. The incidence rate of mortality among osteosarcopenic patients was 5.04(3.43- 7.40) per 100 person-days. In the Cox proportional hazards models, osteosarcopenia and its parameters increase the risk of COVID-mortality [Osteosarcopenia: HR:1.73(1.00-3.01), sarcopenia: HR:1.72(1.00-2.99), Osteoporosis: HR:2.67(1.53-4.67), Low muscle mass: HR:1.90(1.05-3.46), low muscle strength: HR:1.80(1.03-3.16), and low gait speed: HRadj:2.39(1.31-4.38). The ORs of ICU admission and use of invasive mechanical ventilation among osteosarcopenic patients and its parameters were higher than those without it.
Conclusions: This study identified the impact of osteosarcopenia and its parameters on the mortality of in-hospitalized patients with COVID-19. Assessment of musculoskeletal disorders could help in early warning of older patients with severe COVID-19.
Supplementary Information: The online version contains supplementary material available at 10.1007/s40200-024-01443-1.
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http://dx.doi.org/10.1007/s40200-024-01443-1 | DOI Listing |
Healthcare (Basel)
December 2024
Department of Spine Surgery, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou 510080, China.
: Alterations in the body mass index (BMI) and percent body fat (PBF) have been considered to be related to aging-induced changes in bone and muscle. This study aimed to evaluate the associations of the BMI and PBF with osteoporosis, sarcopenia, and osteosarcopenia in postmenopausal women. : A total of 342 participants who underwent musculoskeletal function assessments at the First Affiliated Hospital of Sun Yat-sen University between January 2015 and December 2022 were retrospectively screened.
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December 2024
Center for Natural Product Efficacy Optimization, Korea Institute of Science and Technology (KIST), Gangneung Institute of Natural Products, 679 Saimdang-Ro, Gangneung, Gangwon-Do, 210-340, Republic of Korea.
Background: Osteosarcopenia, characterized by the simultaneous loss of bone and muscle mass, is a serious health problem in the aging population. This study investigated the interplay between host genetics, gut microbiota, and musculoskeletal health in a mouse model of osteosarcopenia, exploring the therapeutic potential of gut microbiota modulation.
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J Diabetes Metab Disord
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Chronic Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.
J Cachexia Sarcopenia Muscle
December 2024
Institute of Pathophysiology and Allergy Research, Center for Pathophysiology, Infectiology and Immunology, Medical University of Vienna, Vienna, Austria.
J Pers Med
September 2024
Bone Quality and Health Centre, Department of Orthopaedics and Traumatology, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China.
Osteosarcopenia is a prevalent geriatric disease with a significantly increased risk of adverse outcomes than osteoporosis or sarcopenia alone. Identification of older adults with osteosarcopenia using High-Resolution Peripheral Quantitative Computed Tomography (HR-pQCT) could allow better clinical decision making. This study aimed to explore the feasibility of HR-pQCT to differentiate osteoporosis, sarcopenia, and osteosarcopenia in older adults, with a primary outcome to derive a model to distinguish older adults with osteosarcopenia from those with low bone mineral density only, and to examine important HR-pQCT parameters associated with osteosarcopenia.
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