A New Approach for Improving the Prediction of Femoral Neck Fracture

2003 ◽  
Vol 13 (2) ◽  
pp. 74-79
Author(s):  
D. Testi ◽  
A. Cappello ◽  
F. Sgallari ◽  
M. Rumpf ◽  
F. Traina ◽  
...  
Keyword(s):  
Femoral Neck ◽  
Fracture Risk ◽  
Femoral Neck Fracture ◽  
Retrospective Studies ◽  
Clinical Protocol ◽  
Mineral Density ◽  
New Approach ◽  
Neck Fracture ◽  
Accuracy Of Prediction ◽  
Improved Accuracy

Femoral neck fractures are an important clinical, social, and economical issue. Much effort has been made to improve the accuracy of prediction of fracture risk. However, at present the DEXA standard clinical protocol achieves an accuracy of about 65% in retrospective studies. A new procedure for prediction was developed including not only bone mineral density but also geometric and femoral bone strength information. The retrospective clinical validation has shown an improved accuracy to 80% in classifying 200 patients. The procedure has been employed in efficient, repeatable, and easy to use software for evaluation of femoral neck fracture risk. The software characteristics make it suitable for use in daily clinical practice, providing a useful tool for the improvement of femoral neck fracture prediction.

SAT0364 Are differences of hip shape responsible for increased femoral neck fracture risk in post-menopausal women?:

2013 ◽  
Vol 71 (Suppl 3) ◽  
pp. 595.2-595
Author(s):  
A.G.S. Oldroyd ◽  
M. Nickkho-Amiry ◽  
B. Evans ◽  
C. Greenbank ◽  
M. Bukhari
Keyword(s):  
Femoral Neck ◽  
Fracture Risk ◽  
Femoral Neck Fracture ◽  
Menopausal Women ◽  
Neck Fracture ◽  
Post Menopausal

Differential Proteomic Identification and Bioinformatics Analysis of Femoral Neck in Elderly Female Patients with Hyperuricaemia

2021 ◽  
Vol 18 ◽  
Author(s):  
Yingyi He ◽  
Guangming Zhang ◽  
Yuyang Huang ◽  
Qi Li ◽  
Cheng Luo
Keyword(s):  
Femoral Neck ◽  
Femoral Neck Fracture ◽  
Differentially Expressed ◽  
Control Group ◽  
Pathophysiological Mechanism ◽  
Differentially Expressed Proteins ◽  
Mineral Density ◽  
Differentially Expressed Protein ◽  
Peptide Mass ◽  
Neck Fracture

Background: Serum uric acid (UA) is positively correlated with bone mineral density (BMD). However, the mechanism by which serum UA affects BMD remains unclear. Objective: The aim was carried out to search for the functional proteins related to serum UA and femoral neck BMD to better understand the pathophysiological mechanism of osteoporosis. Materials and methods: In this study, patients in the UA group (hyperuricaemia combined with femoral neck fracture) and the control group (normal uricaemia combined with femoral neck fracture) were selected according to the inclusion criteria. Total protein was extracted from the femoral neck of each patient. Fluorescence differential gel electrophoresis was used to separate the total proteins, and the differentially expressed protein spots were detected by image analysis. After enzyme digestion, peptide mass fingerprinting and database searches were performed to identify the differentially expressed proteins. DAVID software and Kyoto Encyclopedia of Genes and Genomes (KEGG) data were used for enrichment analysis of the screened differential proteins. Results: After mass spectrometry and database searching, 66 differentially expressed protein spots were identified between the UA group and the control group. Most differentially expressed proteins functioned in cytoskeleton formation, energy metabolism, or signal transduction. They were mainly involved in 50 biological processes, including peroxisome proliferator-activated receptor (PPAR) signalling and fatty acid metabolism. PPARγ and PLIN1 were subject to Western blotting analysis detection; results were consistent with the Label-Free result. Conclusion: Based on an analysis of the biological information, these proteins may be associated with the incidence and progression of the femoral neck bone tissues of hyperuricaemia patients.

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