Policy Analysis Inc. (PAI), Four Davis Court, Brookline, MA, 02445, USA.
Amgen Inc., Thousand Oaks, CA, USA.
Osteoporos Int. 2017 Sep;28(9):2565-2571. doi: 10.1007/s00198-017-4103-3. Epub 2017 Jun 7.
Using data from the Study of Osteoporotic Fractures (SOF), several clinical characteristics predictive of near-term (1-year) risk of hip and non-vertebral fracture among elderly osteoporotic women were identified, and a subset of those for hip fracture was incorporated into a risk assessment tool. Additional research is needed to validate study findings.
While several risk factors are known to contribute to long-term fracture risk in women with osteoporosis, factors predicting fracture risk over a shorter time horizon, such as over a 1-year period, are less well-established.
We utilized a repeated-observations design and data from the Study of Osteoporotic Fractures to identify factors contributing to near-term risk of hip fracture and any non-vertebral fracture, respectively, among osteoporotic women aged ≥65 years. Potential predictors of hip fracture and any non-vertebral fracture over the 1-year period subsequent to each qualifying SOF exam were examined using multivariable frailty models. Because the discriminative ability of the hip fracture model was acceptable, a corresponding risk-prediction tool was also developed.
Study population included 2499 women with osteoporosis, who contributed 6811 observations. Incidence of fracture in the 1-year period subsequent to each exam was 2.2% for hip fracture and 6.6% for any non-vertebral fracture. Independent predictors of hip fracture included low total hip T-score, prior fracture, and risk factors for falls (multivariable model c-statistic = 0.71 (95% CI 0.67-0.76)). Independent predictors of any non-vertebral fracture included age, total hip T-score, prior falls, prior fracture, walking speed, Parkinson's disease or stroke, and smoking (multivariable model c-statistic = 0.62 (0.59-0.65)).
Several clinical characteristics predictive of hip and non-vertebral fracture within a 1-year follow-up period among elderly women with osteoporosis were identified, and a subset of those for hip fracture was incorporated into a risk assessment tool. Assessment of these risk factors may help guide osteoporosis treatment choices by identifying patients in whom there is urgency to treat. Additional research is needed to validate the findings of this study and the accuracy of the risk assessment tool.
利用骨质疏松性骨折研究 (SOF) 的数据,确定了预测老年骨质疏松女性近期(1 年)髋部和非椎体骨折风险的几个临床特征,并将其中一部分髋部骨折特征纳入风险评估工具。需要进一步的研究来验证研究结果。
虽然已知有几个危险因素会导致女性骨质疏松症的长期骨折风险,但预测 1 年内骨折风险的因素(如 1 年内)则不太明确。
我们利用重复观测设计和 SOF 的数据,分别确定 65 岁及以上骨质疏松女性在 1 年内发生髋部骨折和任何非椎体骨折的风险因素。使用多变量脆弱性模型检查 1 年内髋部骨折和任何非椎体骨折的潜在预测因素。由于髋部骨折模型的判别能力可接受,因此还开发了相应的风险预测工具。
研究人群包括 2499 名骨质疏松症女性,共 6811 次观察。每次检查后 1 年内骨折的发生率为髋部骨折 2.2%,任何非椎体骨折 6.6%。髋部骨折的独立预测因素包括全髋关节 T 评分低、既往骨折和跌倒危险因素(多变量模型 C 统计量为 0.71(95%CI 0.67-0.76))。任何非椎体骨折的独立预测因素包括年龄、全髋关节 T 评分、既往跌倒、既往骨折、行走速度、帕金森病或中风以及吸烟(多变量模型 C 统计量为 0.62(0.59-0.65))。
确定了预测老年骨质疏松女性 1 年内髋部和非椎体骨折的几个临床特征,并将其中一部分髋部骨折特征纳入风险评估工具。评估这些危险因素可能有助于通过确定需要紧急治疗的患者来指导骨质疏松症的治疗选择。需要进一步的研究来验证本研究的结果和风险评估工具的准确性。