Predicting fracture risk in osteoporosis: the use of fracture prediction tools in an osteoporosis clinic population

Aw, Darren; Thain, J.; Ali, A.; Aung, T.; Chua, Wei Mei; Sahota, Opinder; Weerasuriya, N.; Marshall, Lindsey; Kearney, Fióna; Masud, Tahir

doi:10.1136/postgradmedj-2015-133454

Cited by 7 publications

(8 citation statements)

References 6 publications

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“…Over the past decade, researchers have attempted to develop easy and efficient assessment tools for the early screening of osteoporosis, but these have not been validated for the use in Asian populations. 6,7 The osteoporosis self-assessment tool for Asians (OSTA), established using a multinational Asian cohort, was developed to identify patients with a high osteoporosis risk by considering body weight and age only. 8,9 Studies demonstrated that OSTA could help to predict fracture risk among postmenopausal women.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of two tools for the early screening of osteoporosis in postmenopausal Chinese women with type 2 diabetes mellitus

Tang

Pan

et al. 2020

J Int Med Res

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Objective: To evaluate two osteoporosis screening tools, the osteoporosis self-assessment tool for Asians (OSTA) and the osteoporosis screening tool for Chinese (OSTC), in postmenopausal Chinese women with type 2 diabetes mellitus (T2DM). Methods: This retrospective study enrolled postmenopausal female patients with T2DM. Bone mineral density at the lumbar spine (L1-4) and left femoral neck was measured using dual-energy X-ray absorptiometry (DXA). The OSTA and OSTC scores were calculated and compared with bone mineral density at the two anatomical sites. Results: A total of 404 patients with T2DM were enrolled in this study. The detection rates for osteoporosis in the lumbar spine (L1-L4) and left femoral neck by DXA were 22.5% (91 of 404 patients) and 21.8% (88 of 404 patients), respectively; 14.4% (58 of 404 patients) and 18.1% (73 of 404 patients) by OSTA, respectively; and 21.5% (87 of 404 patients) at both sites by OSTC. At the femoral neck, the areas under the curve (AUC) of OSTA and OSTC for predicting osteoporosis were 0.73 and 0.78, respectively. The sensitivity and specificity for OSTA were 64.9% and 72.7%, respectively; and for OSTC, they were 64.2% and 79.5%, respectively.

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Section: Introductionmentioning

confidence: 99%

Evaluation of two tools for the early screening of osteoporosis in postmenopausal Chinese women with type 2 diabetes mellitus

Tang

Pan

et al. 2020

J Int Med Res

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“…This has been described in other cohorts but not as yet in elderly fallers who are a group with high need for accurate fracture risk prediction. [30][31][32] Indeed, individuals over 70 years make up a large and important cohort, with an exceedingly high falls incidence of 42%. 33 The primary objective of this study was to investigate the novel question of how these risk calculators might diverge in their prediction of fracture risk in elderly fallers.…”

Section: Summary and Aimsmentioning

confidence: 99%

Comparison of fracture risk calculators in elderly fallers: a hospital-based cross-sectional study

et al. 2022

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ObjectiveElderly patients presenting with falls are known to carry an extremely high risk of future fragility fractures. Current osteoporosis guidelines recommend using fracture risk calculators such as FRAX, QFracture or Garvan to guide management. However, they differ considerably in their inputs and may therefore provide contrasting risk estimations in certain individuals. In this study, we compare these risk calculators in a high-risk cohort of elderly patients admitted to hospital with falls.DesignHospital-based cross-sectional study.SettingSecondary care, London, UK.ParticipantsData from 120 consecutive elderly patients who had falls presenting to a single hospital over 4 months were collected. 10-year major and hip fracture risks were calculated using FRAX, QFracture and Garvan. 1-year major and hip fracture risks from QFracture were assessed against prospective incidence of fracture.ResultsMedian 10-year major fracture risk was: FRAX 19.5%, QFracture 26.0%, Garvan 32.5%. Median 10-year hip fracture risk was: FRAX 9.6%, QFracture 21.1%, Garvan 6.5%. Correlation between FRAX and QFracture was r=0.672 for major, r=0.676 for hip fracture (both p<0.0001); FRAX and Garvan r=0.778 (p<0.0001) for major, r=0.128 (p=0.206) for hip fracture; QFracture and Garvan r=0.658 (p<0.0001) for major, r=0.318 (p<0.001) for hip fracture. QFracture 1-year predicted major and hip fracture rates were 1.8% and 1.2%, respectively, compared with actual rates of 2.1% and 0%, respectively.ConclusionsAlthough strong correlations between calculators were observed in the study cohort, there were differences of up to 13% between estimated risks. QFracture captured several elderly-specific inputs not considered by other calculators and so projected higher fracture risk than the other calculators. QFracture provided 1-year fracture risks that were comparable with the prospective observed fracture incidence in the cohort. This study has important clinical implications for the use of fracture risk calculators to guide treatment decisions, particularly in the high-risk cohort of elderly patients admitted to hospital following falls.

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“…A number of studies have investigated the seasonal variation in OP presentation, and suggested that the seasonal variation in vitamin D concentration may be relevant to the occurrence of OP [29][30][31][32]. In a Greek cohort of 596 postmenopausal women with OP, there was a seasonal variation in serum levels of 25-hydroxy vitamin D [25(OH)D], with the highest and lowest 25(OH)D levels noted in late summer/early autumn months (August/September/October) and late winter/early spring months (March), respectively.…”

Section: Principal Findingsmentioning

confidence: 99%

Global Public Interests and Dynamic Trends in Osteoporosis From 2004 to 2019: Infodemiology Study

Wang¹,

Xu²,

Cao³

et al. 2021

J Med Internet Res

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Background With the prolonging of human life expectancy and subsequent population aging, osteoporosis (OP) has become an important public health issue. Objective This study aimed to understand the global public search interests and dynamic trends in “osteoporosis” using the data derived from Google Trends. Methods An online search was performed using the term “osteoporosis” in Google Trends from January 1, 2004, to December 31, 2019, under the category “Health.” Cosinor analysis was used to test the seasonality of relative search volume (RSV) for “osteoporosis.” An analysis was conducted to investigate the public search topic rising in RSV for “osteoporosis.” Results There was a descending trend of global RSV for “osteoporosis” from January 2004 to December 2014, and a slowly increasing trend from January 2015 to December 2019. Cosinor analysis showed significant seasonal variations in global RSV for “osteoporosis” (P=.01), with a peak in March and a trough in September. In addition, similar decreasing trends of RSV for “osteoporosis” were found in Australia, New Zealand, Ireland, and Canada from January 2004 to December 2019. Cosinor test revealed significant seasonal variations in RSV for “osteoporosis” in Australia, New Zealand, Canada, Ireland, UK, and USA (all P<.001). Furthermore, public search rising topics related to “osteoporosis” included denosumab, fracture risk assessment tool, bone density, osteopenia, osteoarthritis, and risk factor. Conclusions Our study provided evidence about the public search interest and dynamic trends in OP using web-based data, which would be helpful for public health and policy making.

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Predicting fracture risk in osteoporosis: the use of fracture prediction tools in an osteoporosis clinic population

Cited by 7 publications

References 6 publications

Evaluation of two tools for the early screening of osteoporosis in postmenopausal Chinese women with type 2 diabetes mellitus

Evaluation of two tools for the early screening of osteoporosis in postmenopausal Chinese women with type 2 diabetes mellitus

Comparison of fracture risk calculators in elderly fallers: a hospital-based cross-sectional study

Global Public Interests and Dynamic Trends in Osteoporosis From 2004 to 2019: Infodemiology Study

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