Epidemiology of hip fracture in Qatar and development of a country specific FRAX model.

Epidemiology of hip fracture in Qatar and development of a country specific FRAX model.
复制标题

DOI:
10.1007/s11657-022-01083-z
复制
发表时间:
2022-03-18
影响因子:
3
通讯作者:
Johansson H
Johansson H
中科院分区:
医学4区
文献类型:
--
作者:
Abdulla N;Alsaed OS;Lutf A;Alam F;Abdulmomen I;Al Emadi S;Harvey NC;Liu E;Vandenput L;Lorentzon M;McCloskey E;Kanis JA;Johansson H

文献摘要

参考文献

被引文献

相似文献

从卡塔尔国2017-2019年的电子病历中检索髋部骨折数据,并用于创建FRAX®模型,以促进骨折风险评估。髋部骨折发生率与沙特阿拉伯、阿布扎比和科威特的估计相当,但由于死亡率的差异,骨折概率有所不同。本文描述了卡塔尔骨质疏松性骨折的流行病学,用于开发针对该国的骨折预测FRAX®工具。从卡塔尔国2017-2019年的电子病历中检索髋部骨折数据。使用卡塔尔居民髋部骨折的年龄和性别特异性发病率以及国家死亡率来创建FRAX®模型。他们比较了拥有FRAX模型的邻国的裂缝概率。髋部骨折率与沙特阿拉伯、阿布扎比和科威特的估计相当。相比之下,卡塔尔发生骨质疏松性骨折或髋部骨折的概率低于科威特,但由于死亡率的差异,高于阿布扎比和沙特阿拉伯。FRAX模型可以提高在卡塔尔人群中确定骨折概率的准确性,并有助于指导治疗决策。
Hip fracture data were retrieved from electronical medical records for the years 2017–2019 in the State of Qatar and used to create a FRAX® model to facilitate fracture risk assessment. Hip fracture rates were comparable with estimates from Saudi Arabia, Abu Dhabi, and Kuwait but fracture probabilities varied due to differences in mortality. This paper describes the epidemiology of osteoporotic fractures in the State of Qatar that was used to develop the country-specific fracture prediction FRAX® tool. Hip fracture data were retrieved from electronic medical records for the years 2017–2019 in the State of Qatar. The age and sex specific incidence of hip fracture in Qatari residents and national mortality rates were used to create a FRAX® model. Fracture probabilities were compared with those from neighboring countries having FRAX models. Hip fracture rates were comparable with estimates from Saudi Arabia, Abu Dhabi and Kuwait. In contrast, probabilities of a major osteoporotic fracture or hip fracture were lower in Qatar than in Kuwait but higher than those in Abu Dhabi and Saudi Arabia due to differences in mortality. The FRAX model should enhance accuracy of determining fracture probability among the Qatari population and help guide decisions about treatment.
DOI: 10.1007/s00198-009-1033-8
发表时间: 2010-01-01
影响因子: 4
作者:
Kanis, J. A.;Johansson, H.;McCloskey, E. V.
通讯作者: McCloskey, E. V.
DOI: 10.1007/s001980050222
发表时间: 1999-01-01
影响因子: 4
作者:
Sanders, KM;Seeman, E;Kotowicz, MA
通讯作者: Kotowicz, MA
DOI: 10.1007/s11657-021-00885-x
发表时间: 2021-02-07
影响因子: 3
作者:
Kebaetse M;Nkhwa S;Mogodi M;Masunge J;Gureja YP;Ramabu M;Mmopelwa T;Sharif I;Orford A;Johansson H;Harvey NC;McCloskey EV;Cauley JA;Kanis JA
通讯作者: Kanis JA
DOI: 10.1002/jbmr.2531
发表时间: 2015-10-01
影响因子: 6.2
作者:
Kanis, John A.;McCloskey, Eugene V.;Leslie, William D.
通讯作者: Leslie, William D.
DOI: 10.1007/s00198-019-05274-2
发表时间: 2020-03-16
影响因子: 4
作者:
Leslie, W. D.;Schousboe, J. T.;Kanis, J. A.
通讯作者: Kanis, J. A.