Related Experiment Videos
Sri Lankan FRAX model and country-specific intervention thresholds
1Department of Medicine, Faculty of Medicine, Center for Metabolic Bone Diseases, Galle, Sri Lanka. slekamwasam@gmail.com
Archives of Osteoporosis
|August 27, 2013
Summary
This study determined optimal fracture probability intervention thresholds for Sri Lanka using the FRAX model. Clinicians can now choose between fixed or age-specific thresholds for postmenopausal women, but cost-effectiveness requires further evaluation.
Area of Science:
- Osteoporosis research
- Public health
- Medical decision-making
Background:
- Osteoporosis management relies on accurate fracture risk assessment.
- The FRAX model provides fracture probability estimates but regional variations exist.
- Establishing appropriate intervention thresholds (ITs) is crucial for timely treatment initiation.
Purpose of the Study:
- To identify suitable fracture probability intervention thresholds for Sri Lanka.
- To evaluate the Sri Lankan FRAX model in comparison to other Asian FRAX models.
- To determine both age-specific and fixed ITs for clinical use.
Main Methods:
- Fracture probabilities were calculated using various Asian FRAX models for a standardized postmenopausal woman.
- Age-specific ITs were derived from the Sri Lankan FRAX model.
- Fixed ITs were estimated based on age-specific ITs to minimize misclassification.
Main Results:
- Significant variations in fracture probabilities were observed across different Asian FRAX models.
- The Sri Lankan FRAX model demonstrated concordance with South Asian models.
- Optimal fixed intervention thresholds were identified as 11% for major osteoporotic fracture probability and 3.5% for hip fracture probability.
Conclusions:
- The Sri Lankan FRAX model aligns with other South Asian FRAX models.
- Clinicians can utilize either fixed or age-specific intervention thresholds for postmenopausal women.
- The cost-effectiveness of implementing these intervention thresholds warrants further investigation.
Related Concept Videos
Strategies for Assessing and Addressing Confounding
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...
Confounding can be addressed at both the design phase of a study and through analytical methods after data...
Pharmacodynamic Models: Direct Effect Model and Indirect Response Model
Pharmacodynamic models are essential tools in understanding the relationship between drug concentrations and their effects on biological systems. By characterizing the dynamics of drug action, these models guide dose selection, optimize therapeutic efficacy, and inform the development of new drugs. Two major classes of pharmacodynamic models include direct effect and indirect response models.Direct Effect ModelsDirect effect models describe the immediate relationship between drug concentration...