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.

Incidence and number of fragility fractures of the hip in South Africa: estimated projections from 2020 to 2050.

Sub-Saharan Africa is undergoing rapid population ageing and better understanding of the burden of musculoskeletal conditions is needed. We have estimated a large increase in the burden of hip fractures for South Africa over the coming decades. These findings should support preparation of hip fracture services to meet this demand. INTRODUCTION: A better understanding of the burden of fragility fractures in sub-Saharan Africa is needed to inform healthcare planning. We aimed to use recent hip fracture incidence data from South Africa (SA) to estimate the future burden of hip fracture for the country over the next three decades. METHODS: Hip fracture incidence data within the Gauteng, KwaZulu-Natal and Western Cape provinces of SA were obtained from patients aged ≥ 40 years with a radiograph-confirmed hip fracture in one of 94 included hospitals. Age-, sex- and ethnicity-specific incidence rates were generated using the 2011 SA census population for the study areas. Incidence rates were standardised to United Nations (UN) population projections, for the years 2020, 2030, 2040 and 2050, and absolute numbers of hip fractures derived. RESULTS: The 2767 hip fracture patients studied had mean (SD) age 73.7 (12.7) years; 69% were female. Estimated age- and ethnicity-standardised incidence rates (per 100,000 person-years) for the overall SA population in 2020 were 81.2 for females and 43.1 for males. Overall projected incidence rates were discernibly higher by the year 2040 and increased further by the year 2050 (109.0 and 54.1 for females and males, respectively). Estimates of the overall annual number of hip fractures for SA increased from approximately 11,000 in 2020 to approximately 26,400 by 2050. CONCLUSION: The hip fracture burden for SA is expected to more than double over the next 30 years. Significant investment in fracture prevention services and inpatient fracture care is likely to be needed to meet this demand.

Access to care for low trauma hip fractures in South Africa.

RATIONALE: Early surgery is recommended for hip fractures. MAIN RESULT: In this study only one-third of subjects with hip fractures were admitted within 24 h of the fracture, and surgery was delayed beyond 48 h in the majority. SIGNIFICANCE: These findings highlight the need to improve access to care for hip fracture subjects. PURPOSE: There is limited data on the timing of admission and surgery following a low trauma hip fracture (HF) in South Africa (SA). METHODS: A prospective, observational study was conducted at public and private hospitals in three provinces, Gauteng (GP), KwaZulu-Natal (KZN) and the Western Cape (WC), in SA to determine time from fracture to admission and from admission to surgery in patients presenting with low trauma HF. Associations with delayed admission and surgery were explored using logistic regression. RESULTS: The median age of the 1996 subjects was 73 years (IQR 63-81 years), the majority were women (1346, 67%) and 1347 (67%) were admitted to the public hospitals. In one-third of subjects (661, 33%), admission was delayed to beyond 24 h after the fracture. There was a significantly longer time to admission in public compared to private hospitals (21 h [IQR 10.0-48.5] versus 6 h [IQR 3.3-14.1], p < 0.001), in subjects < 65 years, the WC and when admission occurred on a weekday. Surgery was delayed beyond 48 h in the majority (1272, 69%) of subjects and was significantly longer in public compared to private hospitals (130 h [IQR 62.6-212.4] versus 45.4 h [IQR 24.0-75.5], p < 0.001), in KZN, and when admission occurred after hours. CONCLUSION: The burden of HFs is higher at public hospitals in SA, where there is a significant delay in admission after a fracture and surgery after admission. This highlights the need for a review of HF care pathways, resources and policies.

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.