Detective value of historical height loss and current height/knee height ratio for prevalent vertebral fracture in Japanese postmenopausal women

2013 ◽  
Vol 32 (5) ◽  
pp. 533-538 ◽  
Author(s):  
Kousei Yoh ◽  
Akiko Kuwabara ◽  
Kiyoshi Tanaka
2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Masaki Nakano ◽  
Yukio Nakamura ◽  
Takako Suzuki ◽  
Tsukasa Kobayashi ◽  
Jun Takahashi ◽  
...  

Abstract We recently uncovered an association between spinal osteoarthritis and height loss that was independent of incident vertebral fracture. However, the optimal cut-off value of historical height loss (HHL) for discriminating spinal osteoarthritis has not been reported. This cross-sectional study aimed to evaluate the implications of HHL for prevalent vertebral fracture, spinal osteoarthritis, and other co-morbidities in postmenopausal women from the Nagano Cohort Study. In total, 942 Japanese postmenopausal outpatients (mean age: 66.7 years) were investigated. HHL was estimated by arm span – body height difference. Multiple logistic regression analysis revealed significant independent associations of HHL with prevalent vertebral fracture (odds ratio [OR] 1.89; 95% confidence interval [CI] 1.55–2.29), spinal osteoarthritis (OR 1.57; 95% CI 1.31–1.88), and gastroesophageal reflux disease (GERD) (OR 1.75; 95% CI 1.34–2.28) after adjustment for other confounders. Receiver operating characteristic curve analysis of HHL was conducted to discriminate the prevalence of co-morbidities. The optimal cut-off value as defined by the Youden index for prevalent vertebral fracture, spinal osteoarthritis, and GERD was 4.95 cm (area under the curve [AUC] 0.740; 95% CI 0.704–0.776), 2.75 cm (AUC 0.701; 95% CI 0.667–0.735), and 5.35 cm (AUC 0.692; 95% CI 0.629–0.754), respectively. Better understanding of the above relationships and proposed cut-off values will be useful for improving the diagnosis, care management, and quality of life in elderly patients.


2009 ◽  
Vol 28 (11) ◽  
pp. 1283-1289 ◽  
Author(s):  
Loubna Bennani ◽  
Fadoua Allali ◽  
Samira Rostom ◽  
Ihsane Hmamouchi ◽  
Hamza Khazzani ◽  
...  

2020 ◽  
pp. 1-6
Author(s):  
Rong Chen ◽  
Shuying Liu ◽  
Meng Huang ◽  
Yangna Ou ◽  
Wei Liu ◽  
...  

2015 ◽  
Vol 18 (4) ◽  
pp. 506-511 ◽  
Author(s):  
John H. Krege ◽  
David Kendler ◽  
Kelly Krohn ◽  
Harry Genant ◽  
Jahangir Alam ◽  
...  

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Masaki Nakano ◽  
Yukio Nakamura ◽  
Takako Suzuki ◽  
Akiko Miyazaki ◽  
Jun Takahashi ◽  
...  

AbstractPentosidine (PEN) and carboxymethyl-lysine (CML) are well-recognized advanced glycation end products (AGEs). However, how these AGEs affect the pathophysiology of osteoporosis and osteoporotic fractures remains controversial. This cross-sectional study aimed to investigate the associations of PEN and CML with bone markers, bone mineral density (BMD), and osteoporotic fractures in postmenopausal women from the Nagano Cohort Study. A total of 444 Japanese postmenopausal outpatients (mean ± standard deviation age: 69.8 ± 10.2 years) were enrolled after the exclusion of patients with acute or severe illness or secondary osteoporosis. The relationships among urinary PEN and serum CML levels, various bone markers, lumbar and hip BMD, and prevalent vertebral and long-bone fractures were evaluated. PEN associated significantly with prevalent vertebral fracture after adjustment for other confounders (odds ratio [OR] 1.59, 95% confidence interval [CI] 1.22–2.07; P < 0.001), but not with lumbar BMD. In contrast, a significant negative correlation was found between CML and lumbar BMD (r =  − 0.180; P < 0.001), and this relationship was significant after adjustment for confounders (OR 0.84, 95% CI 0.76–0.93; P < 0.01). Although patients with prevalent vertebral fracture had significantly higher CML levels, the association between CML and prevalent vertebral fracture did not reach significance in the multivariate regression model. Both PEN and CML may play important roles in bone health for postmenopausal women, possibly via different mechanisms.


2015 ◽  
Vol 12 (1) ◽  
Author(s):  
A. El Maghraoui ◽  
S. Sadni ◽  
A. El Maataoui ◽  
A. Majjad ◽  
A. Rezqi ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document