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Risk factors predicting osteosarcopenia in postmenopausal women with osteoporosis: A retrospective study

Authors :
Takashi Nagai
Yoshifumi Kudo
Katsunori Inagaki
Toshiyuki Shirahata
Soji Tani
Ryo Yamamura
Koji Ishikawa
Akira Matsuoka
Chikara Hayakawa
Hiroshi Maruyama
Hiroki Okamura
Haruka Emori
Tomoaki Toyone
Koki Tsuchiya
Source :
PLoS ONE, Vol 15, Iss 8, p e0237454 (2020), PLoS ONE
Publication Year :
2020
Publisher :
Public Library of Science (PLoS), 2020.

Abstract

There is growing interest in "osteosarcopenia" as the coexistence of osteoporosis and sarcopenia exacerbates negative outcomes. However, limited information is available regarding the risk factors of osteosarcopenia development in patients with osteoporosis. Therefore, we retrospectively reviewed 276 consecutive patients with postmenopausal osteoporosis who regularly visited Showa University Hospital. Patients were eligible for the study if they were ≥65 years of age and underwent dual-energy X-ray absorptiometry, blood sampling, and physical performance assessment. Patients were divided into the osteosarcopenia and osteoporosis alone groups according to the diagnostic criteria of the Asian Working Group for Sarcopenia. Of the 276 patients with osteoporosis, 54 patients (19.6%) had osteosarcopenia. Patients in the osteosarcopenia group had a greater risk of frailty than did those in the osteoporosis alone group (odds ratio 2.33; 95% confidence interval, 1.13-4.80, P = 0.028). Low body mass index seemed to be the strongest factor related to the development of osteosarcopenia, and none of the patients in the osteosarcopenia group were obese (BMI ≥27.5 kg/m2). Multiple logistic analyses revealed that patients aged 65-74 years who had comorbidities such as kidney dysfunction and high levels of HbA1c were at risk of developing osteosarcopenia. Thus, we strongly recommend the assessment of the key components of the diagnosis of osteosarcopenia in an osteoporosis clinic for patients with low body mass index. Furthermore, appropriate assessments, including comorbidities, will help in identifying patients at greater risk of developing osteosarcopenia.

Details

Language :
English
ISSN :
19326203
Volume :
15
Issue :
8
Database :
OpenAIRE
Journal :
PLoS ONE
Accession number :
edsair.doi.dedup.....9ea470c15514f34a5522dbd972ab12a8