Clinical profile, risk factors and functional outcomes in women and men presenting with hip fractures in KwaZulu-Natal, South Africa.

Rationale Appropriate screening can prevent osteoporotic hip fractures (HF). There is little data on clinical risk factors (CRFs) from Africa. MAIN RESULT: Subjects with HF had similar CRFs to high income countries and poor functional outcomes post HF. SIGNIFICANCE: Screening and treatment algorithms to improve outcomes post HF need to be implemented. PURPOSE: Limited data exist on clinical risk factors (CRFs) for and functional outcomes following hip fractures (HF) in South Africa (SA). METHODS: In a prospective observational study conducted in two municipalities in KwaZulu-Natal, a structured questionnaire recorded demographic data, CRFs, self-reported chronic medical conditions and functional status. Parametric and non-parametric tests were used to test for differences and the McNemar test for change over time. RESULTS: The median age of the 287 subjects was 72 years (IQR 64-80 years) with the majority women (67.2%), who were significantly older than men. Two or more comorbidities were present in 76.3%. Hypertension (71.4%) and diabetes (29.6%) were most common. Eleven (3.8%) reported a previous diagnosis of osteoporosis and four (1.4%) prior treatment for osteoporosis. A history of cancer (15.4% v. 1.2%, p < 0.001), previous diagnosis of osteoporosis (17.9% v. 1.6%, p < 0.001) and treatment for osteoporosis (7.7% v. 0.4%, p < 0.001) was significantly more common in private compared to public sector subjects. African subjects had a higher prevalence of HIV infection compared to Indian (12.5% v. 0%, p < 0.001) while Indian subjects were more likely to report two or more comorbidities (p = 0.003) and hypertension (p = 0.005) compared to African subjects. Common CRFs were a previous fracture (32.4%), prior fall (24.7%), weight below 57 kg (23.3%), smoking (19.2%) and alcohol use of more than 3 units per day (17.8%). Less than 5% reported a history of parental HF or glucocorticosteroid use. Functional status was available for 206 subjects. Of the 163 participants who had surgery, 81% were independent prior to the HF, compared to the significantly lower 6.7% and 56.4% at 30 days and 1 year post fracture, respectively. The proportion with some degree of dependency rose significantly from 19% pre-fracture to 43.6%, 1 year post-fracture. Walking up stairs and transfer from bed to chair were the most commonly affected activities. CONCLUSION: Clinical risk factors for HF are similar to those published internationally and support the use of current risk assessment models in SA. Targeted management and rehabilitation programs are required to improve functional outcomes post-HF.

FRAX-based fracture probabilities in South Africa.

The hip fracture rates in South Africa were used to create ethnic-specific FRAX® models to facilitate fracture risk assessment. INTRODUCTION: The aim of this study was to develop FRAX models to compute the 10-year probability of hip fracture and major osteoporotic fracture and assess their potential clinical application. METHODS: Age- and sex-specific incidence of hip fracture and national mortality rates were incorporated into a FRAX model for the White, Black African, Coloured and Indian population of South Africa. Age-specific 10-year probabilities of a major osteoporotic fracture were calculated in women to determine fracture probabilities at a femoral neck T score of -2.5 SD, or those equivalent to a woman with a prior fragility fracture. Fracture probabilities were compared with those from selected countries. RESULTS: Probabilities were consistently higher in Indian than in Coloured men and women, in turn, higher than in Black South Africans. For White South Africans, probabilities were lower than in Indians at young ages up to the age of about 80 years. When a BMD T score of -2.5 SD was used as an intervention threshold, FRAX probabilities in women age 50 years were approximately 2-fold higher than in women of the same age but with an average BMD and no risk factors. The increment in risk associated with the BMD threshold decreased progressively with age such that, at the age of 80 years or more, a T score of -2.5 SD was no longer a risk factor. Probabilities equivalent to women with a previous fracture rose with age and identified women at increased risk at all ages. CONCLUSIONS: These FRAX models should enhance accuracy of determining fracture probability amongst the South African population and help guide decisions about treatment.