Background And Aims: In advanced age, the influence of vertebral fractures on quality of life extends well beyond the usual sequelae of osteoporosis. In order to intercept older subjects' distress associated with the clinical, functional, social and psychological consequences of the disease, we developed and validated a multidimensional instrument (the triple-Q questionnaire) tailored to older women with osteoporotic fractures. We also examined specific aspects of the questionnaire correlated with bone mineral density.
Methods: 100 osteoporotic women with vertebral fractures and 100 controls aged >65 years, underwent a thorough examination, which also included X-ray of the thoraco-lumbar spine, hip densitometry, the triple-Q questionnaire, and five referral instruments evaluating function, cognition, perception of general health, mood and pain.
Results: The questionnaire was repeatable and able to discriminate between older women with and without vertebral fractures. There was a strong association between referral instrument scores and the corresponding single domain score of the questionnaire. Femoral BMD was also associated with scores indicating fear of falling, fear of fracture, and pain.
Conclusions: The questionnaire intercepted the influence of osteoporosis on the quality of life of elderly women with vertebral fractures. Subjects who suffered from severe pain and were more fearful of falling were most likely to be severely osteoporotic.
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http://dx.doi.org/10.1007/BF03324937 | DOI Listing |
Pharmaceuticals (Basel)
November 2024
Department of Anatomy and Genetics, College of Medicine, Alfaisal University, Riyadh 11533, Saudi Arabia.
Bone metastases are a prevalent complication in advanced cancers, particularly in breast, prostate, and lung cancers, and are associated with severe skeletal-related events (SREs), including fractures, spinal cord compression, and debilitating pain. Conventional bone-targeted treatments like bisphosphonates and RANKL inhibitors (denosumab) reduce osteoclast-mediated bone resorption but do not directly impact tumor progression within the bone. This review focuses on examining the growing potential of immunotherapy in targeting the unique challenges posed by bone metastases.
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December 2024
School of Medicine, Louisiana State University Health Sciences Center, Shreveport, LA 71130, USA.
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View Article and Find Full Text PDFJ Clin Med
December 2024
Department of Orthopedic Surgery, Center for Spinal Disorders, Nicklaus Children's Hospital, Miami, FL 33155, USA.
Although neck injuries secondary to sporting activities in the pediatric demographic presenting to the emergency department (ED) are common, predictors of needing higher-level care (HLC) outside immediate treatment and release are not clear. The aim of this study was to describe how these neck injuries present in the United States (US) and identify predictors of HLC. We interrogated the US National Electronic Injury Surveillance System (NEISS) database for presentations to the ED of pediatric patients (aged 6-18 years old) whose primary complaint was neck injury in the setting of sport between 2014 and 2023.
View Article and Find Full Text PDFJ Clin Med
December 2024
Department of Orthopaedic Surgery, Kansai Medical University Hospital, Hirakata 573-1191, Osaka, Japan.
Adult spinal deformity (ASD) with osteoporotic vertebral fractures (OVF) often requires vertebral body resection and replacement. However, postoperative mechanical complications (MC) have been unsolved issues. This study retrospectively investigated the risk of MC following anterior-posterior spinal fusion (APF) with vertebral body resection and replacement for OVF with ASD.
View Article and Find Full Text PDFBioengineering (Basel)
December 2024
Department of Orthopaedic Surgery, Institute of Medical Science, Gyeongsang National University College of Medicine and Gyeongsang National University Hospital, Jinju 52727, Republic of Korea.
Metastatic spine cancer can cause pain and neurological issues, making it challenging to distinguish from spinal compression fractures using magnetic resonance imaging (MRI). To improve diagnostic accuracy, this study developed artificial intelligence (AI) models to differentiate between metastatic spine cancer and spinal compression fractures in MRI images. MRI data from Gyeongsang National University Hospital, collected from January 2019 to April 2022, were processed using Otsu's binarization and Canny edge detection algorithms.
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