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冰岛首次发生严重骨质疏松性骨折的发病率及其对FRAX的影响。

The incidence of a first major osteoporotic fracture in Iceland and implications for FRAX.

作者信息

Siggeirsdottir K, Aspelund T, Johansson H, Gudmundsson E F, Mogensen B, Jonsson B Y, Gudnason V, McCloskey E, Oden A, Sigurdsson G, Kanis J A

机构信息

Icelandic Heart Association Research Institute, Holtasmari 1, 201, Kopavogur, Iceland,

出版信息

Osteoporos Int. 2014 Oct;25(10):2445-51. doi: 10.1007/s00198-014-2777-3. Epub 2014 Jul 1.

Abstract

SUMMARY

Based on an extensive cohort study over 25 years, the present study supports the assumption that major osteoporotic fractures can be reasonably predicted from hip fracture rates.

INTRODUCTION

The construct for FRAX models depends on algorithms to adjust for double counting of fracture outcomes in some models and in others, to estimate the incidence of a major fracture from hip fracture rates. The aim of the present study was to test the validity of these algorithms in a large prospective cohort.

METHODS

The incidence of hip, clinical spine, distal forearm, and humerus fracture was determined in the prospective and ongoing population-based Reykjavik Study with follow up of 257,001 person-years. The incidence of a first major fracture was compared with the correction factors used in FRAX to adjust the incidence of several fracture outcomes for double counting. In addition, the incidence of a major osteoporotic fracture estimated from the Icelandic hip fracture rates was compared with the Malmo ratios used in FRAX.

RESULTS

The adjustments necessary to account for multiple fracture outcomes were similar to those previously derived from Sweden. Additionally, incidence of a first major osteoporotic fracture was similar to that derived for FRAX models.

CONCLUSION

The findings of the present study support the algorithms used in FRAX to estimate the incidence of a first major fracture and the predictive value of hip fracture for other major fractures.

摘要

摘要

基于一项长达25年的广泛队列研究,本研究支持这样一种假设,即主要骨质疏松性骨折可根据髋部骨折发生率进行合理预测。

引言

FRAX模型的构建取决于一些算法,这些算法在某些模型中用于调整骨折结果的重复计数,而在其他模型中用于根据髋部骨折发生率估计主要骨折的发生率。本研究的目的是在一个大型前瞻性队列中检验这些算法的有效性。

方法

在基于人群的雷克雅未克前瞻性研究中确定髋部、临床脊柱、远端前臂和肱骨骨折的发生率,随访时间为257,001人年。将首次主要骨折的发生率与FRAX中用于调整几种骨折结果重复计数发生率的校正因子进行比较。此外,将根据冰岛髋部骨折发生率估计的主要骨质疏松性骨折发生率与FRAX中使用的马尔默比率进行比较。

结果

考虑多种骨折结果所需的调整与先前从瑞典得出的调整相似。此外,首次主要骨质疏松性骨折的发生率与FRAX模型得出的发生率相似。

结论

本研究结果支持FRAX中用于估计首次主要骨折发生率的算法以及髋部骨折对其他主要骨折的预测价值。

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