Division of Hospital Internal Medicine, Mayo Clinic, Rochester, MN 55905, USA.
Mayo Clin Proc. 2012 Jul;87(7):652-8. doi: 10.1016/j.mayocp.2012.01.020.
To determine whether an Elders Risk Assessment (ERA) index can predict incident hip fractures without the need for physician-patient encounter or bone mineral density testing.
A retrospective cohort study was conducted in a community-based cohort of 12,650 patients aged 60 years and older. An ERA score was computed for each subject at index time (January 1, 2005). Incidents of hip fracture from January 1, 2005, through December 31, 2006, were obtained from electronic medical records. We divided the cohort into 5 groups, with the lowest ERA scores forming group A (<15%); 15% to 49%, group B; 50% to 74%, group C; 75% to 89%, group D; and the top 11%, group E. With group A as a reference group, we used logistic regression to compute odds ratios of sustaining hip fracture during a 2-year period (January 1, 2005, through December 31, 2006) for groups B, C, D, and E. Sensitivity and specificity of each possible ERA score were calculated, and a receiver operating characteristic curve was created.
Two hundred sixty-five patients (2.1%) sustained at least 1 hip fracture from January 1, 2005, through December 31, 2006. Odds ratios (95% confidence intervals) for groups B, C, D, and E were 1.6 (0.7-3.4), 4.5 (2.2-9.4), 6.9 (3.3-14.3), and 18.4 (8.9-37.9), respectively. The area under the receiver operating characteristic curve was 74.5%.
An electronic medical record-based, easily derived ERA index might be useful in hip fracture risk stratification.
确定老年人风险评估(ERA)指数是否可以预测髋部骨折的发生,而无需医患接触或骨密度测试。
对一个基于社区的 12650 名 60 岁及以上患者的队列进行回顾性队列研究。为每位患者在指数时间(2005 年 1 月 1 日)计算一个 ERA 评分。从电子病历中获取 2005 年 1 月 1 日至 2006 年 12 月 31 日期间的髋部骨折事件。我们将队列分为 5 组,最低 ERA 评分形成组 A(<15%);15%至 49%,组 B;50%至 74%,组 C;75%至 89%,组 D;以及前 11%,组 E。以组 A 为参考组,我们使用逻辑回归计算在 2 年期间(2005 年 1 月 1 日至 2006 年 12 月 31 日)发生髋部骨折的组 B、C、D 和 E 的优势比。计算每个可能的 ERA 评分的灵敏度和特异性,并绘制接受者操作特征曲线。
2005 年 1 月 1 日至 2006 年 12 月 31 日期间,有 265 名患者(2.1%)至少发生 1 次髋部骨折。组 B、C、D 和 E 的优势比(95%置信区间)分别为 1.6(0.7-3.4)、4.5(2.2-9.4)、6.9(3.3-14.3)和 18.4(8.9-37.9)。接受者操作特征曲线下面积为 74.5%。
基于电子病历的易于推导的 ERA 指数可能有助于髋部骨折风险分层。