Ioannidis George, Jantzi Micaela, Bucek Jenn, Adachi Jonathan D, Giangregorio Lora, Hirdes John, Pickard Laura, Papaioannou Alexandra
Department of Medicine, McMaster University, Hamilton, Ontario, Canada.
Geriatric Education and Research in Ageing Sciences Centre, Hamilton, Ontario, Canada.
BMJ Open. 2017 Sep 1;7(9):e016477. doi: 10.1136/bmjopen-2017-016477.
To develop and validate our Fracture Risk Scale (FRS) over a 1-year time period, using the long-term care (LTC) Resident Assessment Instrument Minimum Data Set Version 2.0 (RAI-MDS 2.0).
A retrospective cohort study.
LTC homes in Ontario, Canada.
Older adults who were admitted to LTC and received a RAI-MDS 2.0 admission assessment between 2006 and 2010.
A total of 29 848 LTC residents were enrolled in the study. Of these 22 386 were included in the derivation dataset and 7462 individual were included in the validation dataset. Approximately 2/3 of the entire sample were women and 45% were 85 years of age or older. A total of 1553 (5.2%) fractures were reported over the 1-year time period. Of these, 959 (61.8%) were hip fractures. Following a hip fracture, 6.3% of individuals died in the emergency department or as an inpatient admission and did not return to their LTC home. Using decision tree analysis, our final outcome scale had eight risk levels of differentiation. The percentage of individuals with a hip fracture ranged from 0.6% (lowest risk level) to 12.6% (highest risk level). The area under the curve of the outcome scale was similar for the derivation (0.67) and validation (0.69) samples, and the scale exhibited a good level of consistency.
Our FRS predicts hip fracture over a 1-year time period and should be used as an aid to support clinical decisions in the care planning of LTC residents. Future research should focus on the transformation of our scale to a Clinical Assessment Protocol and to assess the FRS in other healthcare settings.
使用长期护理(LTC)居民评估工具最小数据集第2.0版(RAI-MDS 2.0),在1年时间内开发并验证我们的骨折风险量表(FRS)。
一项回顾性队列研究。
加拿大安大略省的长期护理机构。
2006年至2010年间入住长期护理机构并接受RAI-MDS 2.0入院评估的老年人。
共有29848名长期护理居民参与了该研究。其中22386名被纳入推导数据集,7462名个体被纳入验证数据集。整个样本中约三分之二为女性,45%的年龄在85岁及以上。在1年时间内共报告了1553例(5.2%)骨折。其中,959例(61.8%)为髋部骨折。髋部骨折后,6.3%的个体在急诊科或住院期间死亡,未返回其长期护理机构。使用决策树分析,我们最终的结果量表有八个风险区分级别。髋部骨折个体的百分比范围从0.6%(最低风险级别)到12.6%(最高风险级别)。推导样本(0.67)和验证样本(0.69)的结果量表曲线下面积相似,且该量表表现出良好的一致性水平。
我们的FRS可预测1年内的髋部骨折,应用于辅助支持长期护理居民护理计划中的临床决策。未来的研究应聚焦于将我们的量表转化为临床评估方案,并在其他医疗环境中评估FRS。