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Related Concept Videos

Bone Disorders01:29

Bone Disorders

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Aging and its effect on bone remodeling is the most common cause of bone disorders. In young and healthy people, bone deposition and resorption happen at an equal rate to maintain optimal bone health.
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Bone remodeling is a continuous and balanced process of bone resorption by osteoclasts and bone formation by osteoblasts. In adults, it helps maintain bone mass and calcium homeostasis. While mechanical stress can stimulate turnover as part of the normal maintenance and reparative process, several hormones also regulate bone remodeling.
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Osteoclasts in Bone Remodeling01:31

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Osteoclasts are cells responsible for bone resorption and remodeling. They originate from hematopoietic progenitor cells present in the bone marrow. Numerous progenitor cells fuse to form multinucleated cells, each with 10-20 nuclei. A single osteoclast has a diameter of 150 to 200 µM. These cells have ruffled borders that break down the underlying bone tissue and release minerals such as calcium into the blood in bone resorption. Osteoclasts cling to bones with their ruffled edges during...
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Fractures: Bone Repair01:27

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Treatment for a fracture is based on the type of break, the bone affected, and the patient's age.
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Method and Instrumented Fixture for Femoral Fracture Testing in a Sideways Fall-on-the-Hip Position
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Risk Factors for Fractures Identified in the Algorithm Developed in 5-Year Follow-Up of Postmenopausal Women From

P Adamczyk1, A Werner2, M Bach2

  • 1Department of Pediatrics, School of Medicine with the Division of Dentistry in Zabrze, Medical University of Silesia in Katowice, Poland.

Journal of Clinical Densitometry : the Official Journal of the International Society for Clinical Densitometry
|August 23, 2017
PubMed
Summary
This summary is machine-generated.

This study identified key factors for predicting osteoporotic fractures in postmenopausal women, developing a 5-year risk prediction algorithm for clinical use.

Keywords:
Bayesian Model Averagingfollow-upfracture risklogistic regressionpostmenopausal women

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Area of Science:

  • Osteoporosis research
  • Epidemiology
  • Geriatric medicine

Background:

  • Osteoporotic fractures pose a significant health burden, particularly in postmenopausal women.
  • Accurate fracture risk prediction is crucial for timely intervention and prevention strategies.

Purpose of the Study:

  • To identify factors influencing osteoporotic fracture risk.
  • To develop and validate a predictive algorithm for 5-year osteoporotic fracture incidence.

Main Methods:

  • A longitudinal, population-based study (RAC-OST-POL) enrolled 978 postmenopausal women (mean age 65.7 years).
  • Baseline data included hip bone mineral density and clinical risk factors.
  • Fracture incidence was monitored annually over a 5-year follow-up period.

Main Results:

  • Data from 802 women with complete 5-year follow-up were analyzed.
  • 92 osteoporotic fractures occurred, most commonly in the forearm.
  • Significant predictors of fracture incidence included femoral neck bone mineral density, prior fractures, steroid use, recent falls, and height.

Conclusions:

  • A novel algorithm was developed to predict osteoporotic fracture risk over 5 years.
  • The algorithm incorporates key clinical and bone density parameters.
  • This tool has potential applications in daily medical practice for risk assessment.