Assessment of the risk of osteoporotic fractures in Prof. J.J. Body, MD, PhD CHU Brugmann Univ. Libre de Bruxelles

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Assessment of the risk of osteoporotic fractures in 2008 Prof. J.J. Body, MD, PhD CHU Brugmann Univ. Libre de Bruxelles

Estimated lifetime fracture risk in 50-year-old white women and men Melton et al.; JBMR 1992 Women Men % (95% CI) % (95% CI) Proximal femur fracture 17.5 (16.8-18.2) 6.0 ( 5.6-6.5 ) Vertebral fracture * 15.6 (14.8-16.3) 5.0 ( 4.6-5.4 ) Distal forearm fracture 16.0 (15.2-16.7) 2.5 ( 2.2-3.1 ) Any of the three 39.7 (38.7-40.6) 13.1 (12.4-13.7) * Using incidence of clinically diagnosed fractures only

Lifetime risk of hip fracture in women aged 50 years LTR (%) 50 40 30 20 10 0 Osteoporosis Osteopenia Normal 0.6 0.7 0.8 0.9 1 1.1 1.2 2 Femoral neck BMD (g/cm ) -3-2 -1 0 +1 T-score (SD)

Patient screening The diagnosis of osteoporosis is based on bone mass measurement (T score < -2.5 SD). However the risk of osteoporotic fracture is multifactorial (function of bone mass AND other risk factors) Using only bone mass measurement as a screening tool is not optimal (the test is not sensitive enough)

Fracture risk is a gradient, NOT a threshold Marshall et al., BMJ 1996 Relative risk of hip fracture 50 40 30 20 10 0-4 -3-2 -1 0 Age-adjusted SD score at femoral neck

FRAX is an algorithm to assess absolute fracture risk It is a mega-analysis (almost 250,000 subject years) from 9 populations based cohorts It quantifies risk factors that have been used qualitatively for years Allows to FRAX model find individuals at high risk of fractures from a population at modest risk (osteopenia) reduce chance of inappropriate treatment

FRAX: Cohorts studied EVOS / EPOS Rochester Kuopio EPIDOS Hiroshima Sheffield Gothenburg I Dubbo CaMoS Rotterdam Gothenberg II OFELY n = 59,232 person-years = 249,898 % female = 74 Any fracture = 5,444 osteoporotic fractures = 3,495 hip fractures = 957

Risk factors in WHO predictive model Age Sex Femoral neck BMD Prior fragility fracture after age 50 1 Body mass index Ever use of corticosteroids Secondary osteoporosis (e.g., rheumatoid arthritis) Parental history of hip fracture Current cigarette smoking Alcohol intake > 2 units/day 1 hip, spine, distal forearm, proximal humerus, pelvis, ribs, proximal tibia in women

Alcohol, tobacco and Osteoporosis Chronic alcohol / tobacco abuse is detrimental to bone health, with one of the mechanisms being a direct toxic effect on bone forming cells. IOF (2001) Osteoporosis in the European Community: A Call to Action.

FRAX (Fracture Risk Assessment X) http://www.shef.ac.uk/frax/tool.jsp?locationvalue=12

FRAX (Fracture Risk Assessment X) http://www.shef.ac.uk/frax/tool.jsp?locationvalue=12

Risk factors for osteoporotic fractures (HIP) Remaining significant after adjustment for bone mass: AGE HISTORY OF NONTRAUMATIC FRACTURE any fracture after 50 years RR to 1.62 FAMILIAL HISTORY FO HIP FRACTURE (mother or father) RR to 2.28 BMI < 20 RR to 1.42 CORTICOSTEROID USE RR to 2.25 TABAGISM RR to 1.60 ALCOHOL (> 2 glasses/day) RR to 1.70 + tendency to fall, early menopause, sedentarity,

Most Osteoporotic Fractures Occur in a Fall Risk Factors for Falls Muscle weakness Poor balance Poor eyesight Benzodiazepine use Poor overall health Risks for Fracture in a Fall Failure to break a fall Falling to the side Age Low bone mass Unfavorable bone geometry High bone turnover

Prediction of absolute risk of fracture by validation of risk factors in a Belgian cohort followed during 10 years FRISBEE (Fractures RIsk Study Brussels Epidemiological Enquiry)

Investigators Sponsors CHU Brugmann JJ Body P. Bergmann A. Peretz CHU St-Pierre S. Rozenberg M. Tondeur IRIS Sud A. Mindlin M. Rubinstein Inst. J. Bordet M. Paesmans M. Moreau A. Grivegnée GPs JM Thomas M. Roland IRIS-RECHERCHE Merck Sharp & Dohme Roche Procter & Gamble Novartis

Objectives Determine the absolute risk fracture (%) at 5 and 10 years (establishment of a risk model) Determine the relative importance of risk factors in a Belgian population.

Methodology Prospective study Population : women 60 80 years old selected from population lists of 6 communes in Brussels Target: 5000 (800 screened as of today) Yearly phone calls (fractures, serious deseases, started / changed osteoporosis therapy

Methodology Explanatory variables collected during the interview Age History of hip fracture (mother, father) Personal history of fracture after 50 years Diseases known to be a cause of secondary osteoporosis BMI < 20 History of corticosteroid use Tabagism Excessive alcohol consumption

Methodology Other explanatory variables collected during the interview Physical activity (sedentarity) Menopause < 45 years Fall tendency Use of sleeping pills Ethnic origin Veil wearing Hormone replacement therapy Osteoporosis treatment (bisphosphonates, ) Supplements of calcium / Vit D

Methodology Explanatory variables collected during the visit Measure of bone mineral density (DXA)

Methodology Response variables Fractures (validated) yearly telephone contact