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Related Concept Videos

Strategies for Assessing and Addressing Confounding01:25

Strategies for Assessing and Addressing Confounding

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Confounding is a critical issue in epidemiological studies, often leading to misleading conclusions about associations between exposures and outcomes. It occurs when the relationship between the exposure and the outcome is mixed with the effects of other factors that influence the outcome. Given that, addressing confounding is of high importance for drawing accurate inferences in research.
Confounding can be addressed at both the design phase of a study and through analytical methods after data...
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Related Experiment Video

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Novel algorithm generating strategy to identify high fracture risk population using a hybrid intervention threshold.

Chung-Yuan Hsu1, Chih-Hsing Wu2, Shan-Fu Yu1

  • 1Division of Rheumatology, Allergy and Immunology, Department of Internal Medicine, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, No. 123, Ta-Pei Road, Kaohsiung, 833, Taiwan.

Journal of Bone and Mineral Metabolism
|October 5, 2019
PubMed
Summary

A new algorithm using a hybrid intervention threshold effectively identifies individuals at high risk for fragility fractures. This approach enhances fracture prevention strategies by pinpointing at-risk populations for targeted interventions.

Keywords:
FractureIntervention thresholdsOsteoporosis

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Area of Science:

  • Osteoporosis Research
  • Public Health Policy
  • Geriatric Medicine

Background:

  • Fragility fractures pose a significant health burden, particularly in aging populations.
  • Identifying high-risk individuals is crucial for effective prevention strategies.
  • Current risk assessment tools may require country-specific adaptations.

Purpose of the Study:

  • To develop a novel algorithm for identifying high-risk populations for fragility fractures in Taiwan.
  • To create a country-specific hybrid intervention threshold for fracture risk assessment.
  • To improve the efficiency of fracture prevention by targeting high-risk individuals.

Main Methods:

  • Utilized data from 16,539 participants (≥50 years) from the Taiwan Osteoporosis Survey.
  • Calculated 10-year probability of major osteoporotic fracture (MOF) and hip fracture (HF) using the Taiwan FRAX® tool.
  • Developed a hybrid intervention threshold and algorithm to identify high fracture risk individuals, comparing different cutoff points.

Main Results:

  • The developed algorithm categorized 19.2% (Group A) and 18.9% (Group B) of participants.
  • Group A exhibited significantly worse clinical characteristics and higher MOF/HF probabilities compared to Group B.
  • The algorithm generated from the hybrid intervention threshold proved practical for identifying high-risk individuals.

Conclusions:

  • A novel hybrid intervention threshold and algorithm offer a more efficient strategy for fracture prevention.
  • This approach effectively identifies patients at higher risk of fragility fractures.
  • The developed strategy can serve as a template for country-specific fracture prevention policies.