Fracture Risk Calculator
Estimate 10-year fracture risk using FRAX algorithm from age, BMD, and clinical risk factors. Enter values for instant results with step-by-step formulas.
Reviewed for accuracy by Rahul Singh, Health & Wellness Specialist
Medical disclaimer: This calculator is provided for educational and informational purposes only and does not constitute medical advice, diagnosis, or treatment. Results are general estimates and may not reflect your individual circumstances. Always consult a qualified healthcare professional before making decisions about your health.
Fracture Risk Calculator
Calculator
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Formula: 10-year fracture probability based on age, sex, BMI, clinical risk factors, and BMD T-score
Worked example โ 10-year hip fracture risk: ~14.5% | Major osteoporotic: ~28% | High Risk - Pharmacological treatment recommended
Formula
10-year fracture probability based on age, sex, BMI, clinical risk factors, and BMD T-score
Risk is calculated using age-dependent baseline fracture rates modified by validated hazard ratios for each clinical risk factor. BMD T-score provides additional skeletal risk information. Treatment thresholds: Major fracture >= 20% or Hip fracture >= 3%.
Worked Examples
Example 1: Postmenopausal Woman with Risk Factors
Problem:A 70-year-old woman with BMI 22, previous wrist fracture, mother who had hip fracture, and femoral neck T-score of -2.8. No smoking, no glucocorticoids, no alcohol excess.
Solution:Age: 70, Female, BMI: 22 Risk factors: Previous fracture (RR 2.0), Parent hip fracture (RR 1.7) BMD T-score: -2.8 (Osteoporosis) Base hip risk adjusted for age: ~2.5% With multipliers: 2.5 x 2.0 x 1.7 x BMD factor = ~14.5% Major osteoporotic: ~28%
Result:10-year hip fracture risk: ~14.5% | Major osteoporotic: ~28% | High Risk - Pharmacological treatment recommended
Example 2: Male with Glucocorticoid Use
Problem:A 60-year-old man with BMI 28, taking prednisolone 7.5mg daily for rheumatoid arthritis, no prior fracture, no family history, non-smoker, T-score -1.8.
Solution:Age: 60, Male, BMI: 28 Risk factors: Glucocorticoids (RR 1.6), Rheumatoid arthritis (RR 1.5) BMD T-score: -1.8 (Osteopenia) Base hip risk adjusted for age: ~0.8% With multipliers: 0.8 x 1.6 x 1.5 x BMD factor = ~3.2% Major osteoporotic: ~12%
Result:10-year hip fracture risk: ~3.2% | Major osteoporotic: ~12% | Moderate-High Risk - Treatment should be considered
Frequently Asked Questions
What is the FRAX fracture risk assessment tool?
FRAX is a fracture risk assessment tool developed by the World Health Organization (WHO) Collaborating Centre at the University of Sheffield to evaluate the 10-year probability of bone fracture in patients. It integrates clinical risk factors with or without bone mineral density (BMD) measurements to estimate the likelihood of hip fracture and major osteoporotic fracture. The algorithm was developed from population-based cohorts from Europe, North America, Asia, and Australia involving nearly 60,000 patients. FRAX is available in country-specific models for over 70 countries, accounting for the different fracture rates and mortality patterns observed across populations worldwide.
What risk factors does the FRAX algorithm include in its calculation?
The FRAX algorithm incorporates several well-validated clinical risk factors that independently contribute to fracture probability beyond bone density alone. These include age (40-90 years), sex, body mass index (BMI), prior fragility fracture, parental history of hip fracture, current smoking status, glucocorticoid use (prednisolone 5mg daily or equivalent for 3 or more months), rheumatoid arthritis, other causes of secondary osteoporosis, and alcohol intake of 3 or more units per day. An optional femoral neck BMD T-score can be entered to improve risk prediction accuracy. Each factor contributes independently to the risk calculation through validated hazard ratios.
What is the treatment threshold for fracture risk scores?
Treatment thresholds for fracture risk vary by country and clinical guideline but commonly used benchmarks include initiating pharmacological treatment when the 10-year major osteoporotic fracture risk exceeds 20% or the 10-year hip fracture risk exceeds 3%. The National Osteoporosis Foundation (NOF) in the United States recommends these thresholds based on cost-effectiveness analyses for the US healthcare system. Some countries use age-dependent intervention thresholds where the treatment threshold increases with age to match the average population fracture risk. The UK NOGG (National Osteoporosis Guideline Group) uses an age-dependent assessment threshold approach rather than fixed intervention thresholds.
How accurate is the FRAX tool at predicting individual fracture risk?
FRAX has been validated in multiple independent cohorts and demonstrates good calibration at the population level, meaning predicted and observed fracture rates are generally well-matched across risk categories. However, individual-level prediction is inherently uncertain because fracture is a stochastic event influenced by factors not captured in the model, such as fall frequency, fall mechanics, and bone microarchitecture quality. Studies have shown that FRAX tends to underestimate fracture risk in patients with multiple vertebral fractures, high-dose glucocorticoid use, or recent fractures within the past 2 years. For this reason, clinical judgment should supplement FRAX scores, particularly in patients with additional risk factors not included in the algorithm.
Should BMD testing be performed before using the FRAX calculator?
FRAX can be used both with and without BMD (bone mineral density) measurements, making it valuable as a screening tool to determine who should undergo DXA scanning. When used without BMD, FRAX relies solely on clinical risk factors and can identify patients at sufficiently high risk to warrant treatment without further testing or those at such low risk that BMD testing is unnecessary. Adding femoral neck BMD T-score improves the accuracy of fracture risk prediction, particularly in patients near treatment thresholds where the decision to treat is uncertain. Current guidelines generally recommend BMD testing in postmenopausal women aged 65 and older and men aged 70 and older, or in younger patients with significant clinical risk factors.
What is the difference between hip fracture risk and major osteoporotic fracture risk?
The FRAX algorithm provides two separate 10-year fracture probability outputs that serve different clinical purposes. The hip fracture risk represents the probability of sustaining a hip fracture specifically, which is the most devastating osteoporotic fracture with significant mortality (approximately 20% within one year) and morbidity. The major osteoporotic fracture risk encompasses the combined probability of fractures at the hip, spine (clinical vertebral fractures), forearm (distal radius), and proximal humerus, which together account for the majority of fracture-related healthcare burden. Treatment decisions are typically guided by both outputs, with most guidelines using the major fracture threshold of 20% or hip threshold of 3%.
How does age affect fracture risk calculations?
Age is one of the strongest independent risk factors for osteoporotic fracture, with risk increasing exponentially after age 50 in both men and women. For women, the 10-year hip fracture risk approximately doubles with each decade of age beyond 50, independent of bone density changes. This is because age affects fracture risk through multiple mechanisms including declining bone quality and microarchitecture, increased fall propensity due to sarcopenia and balance impairment, and reduced protective reflexes. The FRAX algorithm captures the independent effect of age on fracture risk beyond what is reflected in BMD measurements. However, FRAX is only validated for ages 40 to 90, and risk estimates outside this range should be interpreted with caution.
Can the FRAX calculator be used in patients already on osteoporosis treatment?
The FRAX algorithm was developed and validated in untreated populations, so using it in patients already receiving osteoporosis treatment may lead to underestimation of the underlying untreated fracture risk. If a patient is currently on bisphosphonates or other anti-resorptive therapy, their BMD may have been improved by treatment, and entering the current BMD into FRAX would not reflect their true baseline risk. For patients on treatment, FRAX can be used to estimate pre-treatment risk if a baseline BMD is available, or to assess residual risk on treatment, though this application has not been formally validated. Some clinicians use FRAX to guide decisions about treatment discontinuation by estimating current risk levels.
What are the limitations of the FRAX fracture risk assessment?
While FRAX is a valuable clinical tool, it has several important limitations that clinicians should understand when applying results to patient care decisions. FRAX does not account for dose-response relationships, meaning it treats risk factors as binary (present or absent) when in reality factors like glucocorticoid dose and number of prior fractures have graded effects on risk. Fall risk, which is a major determinant of fracture particularly in the elderly, is not included in the FRAX model despite being potentially modifiable. The algorithm uses femoral neck BMD only and does not incorporate lumbar spine BMD, trabecular bone score, or other advanced imaging parameters. Additionally, FRAX may not be applicable to populations not represented in the original validation cohorts.
How should FRAX results be communicated to patients effectively?
Communicating fracture risk to patients requires translating statistical probabilities into meaningful and actionable information that supports shared decision-making. Research suggests that presenting risk as a frequency (for example, 10 out of 100 people like you will have a fracture in the next 10 years) is better understood than percentages alone. Visual aids such as pictographs or icon arrays can improve patient comprehension of their individual risk level compared to numerical presentation alone. It is important to frame the discussion around both the risk of fracture and the potential benefits and risks of treatment to facilitate informed patient choice. Comparing the patient risk to the average population risk for their age and sex provides useful context for understanding whether their risk is elevated.
References
Background & Theory
History
Reviewed for accuracy by Rahul Singh, Health & Wellness Specialist ยท Editorial policy
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