Transcript Document
Selecting Candidates for Fracture Prevention Based on Risk Prediction
Lubna Pal, MBBS, MRCOG, MS
Assistant Professor Department of Obstetrics, Gynecology and Reproductive Sciences Yale University School of Medicine New Haven, Connecticut
Osteoporosis
“A systemic skeletal disease characterized by low bone mass and microarchitectural deterioration of bone tissue, with a consequent increase in bone fragility and susceptibility to fracture.”
Consensus Development Conference on Osteoporosis, 1993
Normal Bone Osteoporosis
Peck WA, et al.
Am J Med.
1993;94:646. Graphics courtesy of the International Osteoporosis Foundation.
Demographics of Osteoporosis
Worldwide 1
1 in 3 women and 1 in 5 men >50 years of age will develop osteoporosis related fracture 30% –50% of women and 15% –30% of men will experience an osteoporosis related fracture in their lifetime
75 million people in the US, Europe, and Japan are affected by osteoporosis United States 2 By 2010:
12 million >50 years of age will have osteoporosis 40 million will have low bone mass By 2020:
14 million >50 years of age will have osteoporosis 47 million will have low bone mass By 2040:
Hip fractures will increase 2-3 fold
1. International Osteoporosis Foundation. Facts and statistics about osteoporosis and its impact. Available at: http://www.iofbonehealth.org/facts-and-statistics.html. 2. National Osteoporosis Foundation. Available at: http://www.iofbonehealth.org/facts-and-statistics.html#factsheet-category-23.
Implications of Osteoporosis
Mortality Morbidity
– – – –
Quality of life Dependence Pain Health issues (pulmonary, gastrointestinal) Healthcare burden
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>1.5 million Americans experience osteoporosis related fractures/year
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Annual cost of $14 Billion
International Osteoporosis Foundation. Facts and statistics about osteoporosis and its impact. Available at: http://www.iofbonehealth.org/facts-and-statistics.html.
Burden of Diseases Estimated as Disability-Adjusted Life Years (DALYs) in 2002 in the Americas and Europe Combined Parkinsonism Ovarian cancer Prostate cancer Hip fracture Stomach cancer Rheumatoid arthritis Breast cancer Hypertension Osteoporotic fracture Colon and rectal cancer Cirrhosis of liver Lung cancer Diabetes mellitus Chronic obstructive pulmonary disease 0 1000 2000 3000 4000 5000 6000 DALYs (thousand)
DALYs = disability-adjusted life years.
WHO. WHO Scientific Group on the Assessment of Osteoporosis at Primary Health Care Level: Summary Meeting Report. Brussels, Belgium, 2004. Available at: http://www.nof.org/professionals/WHO_Osteoporosis_Summary.pdf
Bone Mineral Density (BMD) and Fracture Risk
Changes in BMD for Women Experiencing Menopause at age 50 1
100 90
Forearm Hip and Heel Spine Age-specific Incidence Rates for Fractures in Women 2 Colles' Hip Vertebrae
80 70 60 30 40 50 60 70 80 90
Age (years) Age (years)
1. Reprinted from Faulkner KG.
J Clin Densitom
. 1998;1:279, with permission from the Copyright Clearance Center.
2. Reprinted from Cooper C, et al.
Trends Endocrinol Metab
. 1992;3:224, with permission from Cell Press.
Qualitative Skeletal Deterioration with Aging
160 Age (years) 80+ 140 120 100 80 60 40 20 0 50 –54 45 –49 <45 75 –79 >1.0
0.90–0.99
0.80–0.89
0.70–0.79
Bone Mass (g/cm) 0.60–0.69
<0.60
Reprinted from Hui SL, et al.
J Clin Invest
. 1988;81:1804, with permission from The Copyright Clearance Center.
70 –74 65 –69 60 –64 55 –59
Addressing Osteoporosis in At-Risk Populations
Identify
– –
Bone mineral density Risk factors
Intervene
–
Reduction in incident fractures
BMD Screening Strategy
Limitations
– – – –
Expense Expertise Logistic constraints for patients Preferential skeletal site?
BMD is 1 measure of skeletal structure and strength 1
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Fracture burden is highest in patients with BMD T-score of -2.5
a or less
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Clinical history can identify fracture risk to degree comparable to BMD
a Standard deviation below young average value.
BMD = bone mineral density.
1. Kanis JA, et al.
Osteoporos Int.
2005;16:581.
Evolving Concerns
How good are we at identifying patients at risk for fracture?
Low bone mineral density may not always translate into enhanced fracture risk Emerging concerns regarding unanticipated adverse effects of therapies
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Bisphosphonate use associated with osteonecrosis of jaw
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Menopausal hormone therapy and risks for breast cancer and cardiovascular disease
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Long-term implications of available therapies
Osteosarcoma and parathyroid hormone
Risks for Fractures
Age a Female gender Premature menopause Amenorrhea a Hypogonadism in men Caucasian or Asian race Previous fracture a Low bone mineral density Glucocorticoid therapy a High bone turnover a Family history of hip fracture a
Poor visual acuity a
Low body weight a
Neuromuscular disorders a
Cigarette smoking a
Excessive alcohol consumption a
Prolonged immobilization
Low dietary calcium
Vitamin D deficiency
a Characteristics capture aspects of fracture risk over and above that provided by bone mineral density.
Kanis JA, et al.
Osteoporos Int.
2005;16:581.
Fracture Risk Assessment
FRAX™
Developed by World Health Organization to evaluate fracture risk of patients
Enhances ability to predict fracture risk for an individual given the bone mineral density of femoral neck (if available) plus clinical risk factors
Provides individualized ABSOLUTE RISK over a 10-year period (similar to Gail model for risk of breast cancer or Framingham model for risk of cardiovascular disease)
– –
Hip fracture Major osteoporotic fracture
Guidelines regarding WHEN to intervene are emerging
FRAX™. Available at: http://www.shef.ac.uk/FRAX/index.htm.
Clinical Risk Factors in the FRAX™ Model
Age
Sex
Bone mineral density
Prior history of fracture
Parental history of fracture
Current smoking
Current alcohol >3 units/day
Rheumatoid arthritis
Glucocorticoid use
Secondary osteoporosis
—
Hypogonadism
— —
Premature menopause (<45 y) Chronic malnutrition or malabsorption
— —
Osteogenesis imperfecta Chronic liver disease
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Type I diabetes
—
Long-term hyperthyroidism
Each CRF independently contributes to fracture probability Presence of ≥1 CRF increases probability of fracture incrementally CRF = clinical risk factors.
FRAX™. Available at: http://www.shef.ac.uk/FRAX/index.htm.
FRAX™. Available at: http://www.shef.ac.uk/FRAX/index.htm.
FRAX™. Available at: http://www.shef.ac.uk/FRAX/index.htm.
FRAX™. Available at: http://www.shef.ac.uk/FRAX/index.htm.
Fracture Risk Reduction
Optimize an appreciation of risk factors other than low bone mineral density
Minimize over zealous treatment of those at indeterminate risk
Conclusions
Bone mineral density alone is inadequate for identifying individuals at risk for fracture
Low BMD may not always translate into enhanced fracture risk Fracture risk may be predicted by a patient’s clinical history almost as reliably as by BMD assessment alone
Fracture risk assessment approach comprehensively addresses the morbidity of fracture rather than skeletal density
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Guidelines regarding WHEN to intervene are emerging