不同骨骼部位的骨折取决于不同的风险因素:RAC-OST-POL 研究对绝经后妇女进行 10 年前瞻性纵向观察的结果。

Wojciech Pluskiewicz, Piotr Adamczyk, Bogna Drozdzowska, Hanna Hüpsch
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引用次数: 0

摘要

简介该研究旨在提供一组绝经后妇女在 10 年前瞻性观察期间骨骼各部位骨折风险因素的数据。可以假设,脊柱、髋部和外周骨折的骨折风险因素应该是不同的。材料和方法:640 名平均基线年龄为 65.0 ± 6.9 岁的绝经后妇女被纳入研究。研究对象从整个拉齐伯兹地区的人口中随机抽取。在 10 年的随访期内,骨折和跌倒发生率的数据每年更新一次。骨折的临床风险因素信息在基线时就已收集:结果:在观察期内,共记录了 129 名患者的 190 例低创伤性骨折。骨折数量如下:髋部 15 例,脊柱 30 例,脊柱以外的非髋部骨折 145 例(包括 81 例前臂骨折)。跌倒对脊柱骨折的影响并不显著(卡方检验:3.64;P = 0.06)。在所有其他骨骼部位,跌倒会显著增加骨折的发生率,对前臂骨折以及非脊柱和非髋部骨折的影响最大(髋部、前臂以及所有非脊柱和非髋部骨折的卡方检验分别为 6.43,p < 0.05;42.7,p < 0.0001 和 66.7,p < 0.0001)。为了确定在观察期内对骨折发生率有显著影响的因素,在分组中分别采用了逻辑回归法。考虑了以下风险因素:年龄、身高、体重、股骨颈处以 T 值表示的骨矿物质密度 (BMD)、类风湿性关节炎、类固醇的使用、基线报告的跌倒以及风险因素的总数。脊柱骨折仅取决于T评分,几率比(OR)=0.42(0.23-0.76);髋部骨折仅取决于年龄,OR=1.15(1.07-1.24);前臂骨折仅取决于年龄T评分,OR=0.69(0.51-0.92);非髋部、非脊柱骨折取决于跌倒率,OR=1.86(1.20-2.87):结论:绝经后妇女在长期随访中发生的不同部位骨骼骨折取决于各种风险因素。多变量分析为所分析的每个骨折部位确定了一个主要风险因素。
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Fractures at various skeletal sites are dependent on different risk factors: the results from 10 years of prospective longitudinal observation in postmenopausal women from the RAC-OST-POL Study.

Introduction: The aim of the study was to present data on risk factors for fractures in various parts of the skeleton in a cohort of postmenopausal women during a 10-year prospective observation period. It can be hypothesised that fracture risk factors should be different for spine, hip, and peripheral fractures.

Material and methods: 640 postmenopausal women at mean baseline age was 65.0 ± 6.9 years were enrolled into the study. The cohort was randomly selected from the population of the entire Racibórz district. Data on the incidence of fractures and falls were updated annually during the 10-year follow-up period. Information on clinical risk factors for fractures was collected at baseline.

Results: During the observation period, 190 low-traumatic fractures were recorded in 129 patients. The following number of fractures was observed: hip 15, spine 30, non-hip fractures other than spine 145 (including 81 forearm fractures). The effect of falls was insignificant in the case of spine fractures (chi-square test: 3.64; p = 0.06). For all other skeletal sites, the incidence of fractures was significantly increased by falls, with the greatest effect observed for forearm fractures and non-spine and non-hip fractures (chi-square test for hip, forearm, and all non-spine, non-hip fractures was 6.43, p < 0.05; 42.7, p < 0.0001 and 66.7, p < 0.0001, respectively). To determine the factors having a significant impact on the incidence of fractures during the observation period, logistic regression was used separately in subgroups. The following risk factors were taken into account: age, height, body weight, bone mineral density (BMD) at the femoral neck as expressed by T-score, rheumatoid arthritis, steroid use, falls reported at baseline, and the total number of risk factors. Spine fractures depended only on T-score, odds ratio (OR) = 0.42 (0.23-0.76); hip fractures depended only on age, OR = 1.15 (1.07-1.24); forearm fractures depended only on age T-score, OR = 0.69 (0.51-0.92); and non-hip, non-spine on fall rate, OR = 1.86 (1.20-2.87).

Conclusions: Fractures at various skeletal sites recorded in long-term follow-up in postmenopausal women were dependent on various risk factors. Multivariate analysis identified a single, dominant risk factor for each fracture location analysed.

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