FRISBEE 2年和5年裂缝预测模型在裂缝联络服务队列中的外部验证

IF 2.8 3区 医学 Q2 ENDOCRINOLOGY & METABOLISM
Tove T. Borgen, Cathrine Brunborg, Frede Frihagen, Lene B. Solberg, Camilla Andreasen, Wender Figved, Ellen M. Apalset, Jan-Erik Gjertsen, Trude Basso, Jens-Meinhard Stutzer, Lars Nordsletten, Erik F. Eriksen, Åshild Bjørnerem
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引用次数: 0

摘要

我们对517例女性指数骨折2年和5年骨折风险预测的FRISBEE模型进行了外部验证。两种模型都高估了骨折风险。FRISBEE模型在用于近期骨折的挪威妇女之前需要重新校准。目的:我们外部验证骨折风险布鲁塞尔流行病学调查(FRISBEE)组的2年和5年骨折风险模型。方法:我们纳入了挪威治疗骨折倡议研究(NoFRACT)基于同意的部分的50岁以上近期骨折的女性。在2015年10月至2017年12月期间,他们接受了骨矿物质密度评估,并填写了一份调查问卷,其中包括骨折的危险因素。我们使用FRISBEE方程模型计算并验证了2年和5年的骨折风险。结果:517名年龄为65.5±8.6岁的女性骨折患者中,94名(18%),55名(11%)和31名(6%)在4.7±1.3年的平均随访期间发生了任何类型的骨折,主要骨质疏松性骨折(MOF)或中心骨折。对于任何类型的骨折、MOF和中心骨折,FRISBEE 2年风险模型的受者-操作曲线下面积(AUC)(95%置信区间(CI))分别为0.57(0.51-0.63)、0.57(0.46-0.67)和0.65(0.53-0.77),而FRISBEE 5年风险模型的受者-操作曲线下面积(AUC)(95%置信区间(CI))分别为0.57(0.51-0.64)、0.58(0.50-0.67)和0.67(0.57-0.76)。在任何类型的骨折、MOF和中心骨折的十分位数风险中,比较观察到的骨折概率和预测的骨折概率的校准斜率(95% CI)都很低:在FRISBEE 2年模型中为0.34(0.02-0.64)、0.33(- 0.09-0.74)和0.61(0.16-1.06),在FRISBEE 5年模型中为0.54(0.13-0.95)、0.43(0.05-0.80)和0.69(0.31-1.08)。结论:总体而言,FRISBEE模型高估了2年和5年骨折风险。在这些模型用于近期骨折的挪威妇女之前,需要重新校准。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

External validation of FRISBEE 2-year and 5-year fracture prediction models in a fracture liaison service cohort

External validation of FRISBEE 2-year and 5-year fracture prediction models in a fracture liaison service cohort

External validation of FRISBEE 2-year and 5-year fracture prediction models in a fracture liaison service cohort

External validation of FRISBEE 2-year and 5-year fracture prediction models in a fracture liaison service cohort

Summary

We externally validated the FRISBEE models of 2-year and 5-year fracture risk prediction in 517 women with index fractures. Both models overestimated the fracture risk. Recalibration of the FRISBEE models are needed before use in Norwegian women with recent fractures.

Purpose

We externally validated the Fracture Risk Brussels Epidemiological Enquiry (FRISBEE) groups’ 2-year and 5-year fracture risk models.

Methods

We included women above 50 years with a recent fracture from the consent-based part of the Norwegian Capture the Fracture Initiative study (NoFRACT). They had bone mineral density assessed and filled in a questionnaire including risk factors for fracture at baseline between October 2015 and December 2017. We calculated and validated the 2-year and 5-year fracture risk using the FRISBEE equation models.

Results

Of 517 women aged 65.5 ± 8.6 years with fractures, 94 (18%), 55 (11%), and 31 (6%) sustained a subsequent fracture of any type, major osteoporotic fractures (MOF), or central fracture, during 4.7 ± 1.3 years mean follow-up. The area under the receiver-operating curve (AUC) (95% confidence interval (CI)) for any type of fracture, MOF, and central fracture was 0.57 (0.51–0.63), 0.57 (0.46–0.67), and 0.65 (0.53–0.77), respectively, for the FRISBEE 2-year risk models and 0.57 (0.51–0.64), 0.58 (0.50–0.67), and 0.67 (0.57–0.76) for the FRISBEE 5-year risk models. The calibration slopes (with 95% CI) that compared observed vs. predicted probabilities for fracture across deciles of risk for any type of fracture, MOF, and central fracture were all low: 0.34 (0.02–0.64), 0.33 (− 0.09–0.74), and 0.61 (0.16–1.06), in the FRISBEE 2-year models, and 0.54 (0.13–0.95), 0.43 (0.05–0.80), and 0.69 (0.31–1.08), in the FRISBEE 5-year models.

Conclusion

Overall, the FRISBEE models overestimated both 2-year and 5-year fracture risk. Recalibration is needed before these models can be used in Norwegian women with recent fractures.

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来源期刊
Archives of Osteoporosis
Archives of Osteoporosis ENDOCRINOLOGY & METABOLISMORTHOPEDICS -ORTHOPEDICS
CiteScore
5.50
自引率
10.00%
发文量
133
期刊介绍: Archives of Osteoporosis is an international multidisciplinary journal which is a joint initiative of the International Osteoporosis Foundation and the National Osteoporosis Foundation of the USA. The journal will highlight the specificities of different regions around the world concerning epidemiology, reference values for bone density and bone metabolism, as well as clinical aspects of osteoporosis and other bone diseases.
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