historical height loss
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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.


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

2020 ◽  
Vol 49 (2) ◽  
pp. E2
Author(s):  
Paul A. Anderson ◽  
Aamir Kadri ◽  
Kristyn J. Hare ◽  
Neil Binkley

OBJECTIVEThe purpose of this investigation was to characterize the bone health in preoperative spine surgery patients. This information will provide a framework to understand the needs and methods for providing bone health optimization in elective spine surgery patients.METHODSA retrospective study of 104 patients undergoing bone health optimization was performed. Patients were selected based on risk factors identified by the surgeon and suspected compromised bone health. Evaluation included history and examination, laboratory investigations, and bone mineral density (BMD) at 3 sites (femoral neck, lumbar spine, and radius). Patients’ bone status was classified using WHO criteria and expanded criteria recommended by the National Osteoporosis Foundation (NOF). The 10-year Fracture Risk Assessment Tool (FRAX) scores of the hip and major osteoporotic fracture (MOF) were calculated with and without femoral neck BMD, with spine BMD, and with the trabecular bone score (TBS). Antiresorptive and anabolic agents were provided in accordance with meeting NOF criteria for treatment of osteoporosis.RESULTSThe mean patient age was 69.0 years, and 81% of patients were female. The mean historical height loss was 5.6 cm, and 54% of patients had a history of fracture. Secondary osteoporosis due to chronic renal failure, inflammatory arthritis, diabetes, and steroid use was common (51%). The mean 25-hydroxy vitamin D was 42.4 ng/ml and was normal in 81% of patients, with only 4 patients being deficient. The mean T-scores were −2.09 (SD 0.71) of the femoral neck, −0.54 (1.71) of the lumbar spine, and −1.65 (1.38) of the distal radius. These were significantly different. The 10-year FRAX MOF score was 20.7%, and that for hip fracture was 6.9% using the femoral neck BMD and was not significantly different without the use of BMD. The FRAX risk-adjusted score using the lumbar spine BMD and TBS was significantly lower than that for the hip. Osteoporosis was present in 32.1% according to WHO criteria compared with 81.6% according to NOF criteria. Antiresorptive medications were recommended in 31 patients and anabolic medications in 44 patients.CONCLUSIONSSurgeons can reliably identify patients with poor bone health by using simple criteria, including historical height loss, history of fracture, comorbidities associated with osteoporosis, analysis of available imaging, and calculation of FRAX score without BMD. High-risk patients should have BMD testing and bone health assessment. In patients with osteoporosis, a comprehensive preoperative bone health assessment is recommended and, if warranted, pharmacological treatment should be started.


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

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