Ariza-Vega Patrocinio, Kristensen Morten Tange, Martín-Martín Lydia, Jiménez-Moleón Jose Juan
Department of Rehabilitation, Rehabilitation and Traumatology Virgen de las Nieves University Hospital, Granada, Spain; Department of Physical Therapy, University of Granada, Granada, Spain.
Physical Medicine and Rehabilitation Research-Copenhagen, Department of Physical Therapy and Orthopedic Surgery, Copenhagen University Hospital Hvidovre, Hvidovre, Denmark.
Arch Phys Med Rehabil. 2015 Jul;96(7):1215-21. doi: 10.1016/j.apmr.2015.01.023. Epub 2015 Feb 18.
To determine 1-year mortality and predisposing factors in older people who had surgery after a hip fracture.
Prospective cohort study.
Public acute hospital, trauma service.
Patients (N=281) aged ≥65 years who were admitted to the hospital with a hip fracture from January 2009 to January 2010, and followed up for 1 year thereafter.
Not applicable.
Cumulative survival probability up to 1 year from surgery was calculated by means of Kaplan-Meier charts, and Cox regression models were performed to analyze the factors associated with mortality. Data were collected from medical charts and by interviews. Health status was evaluated using the American Society of Anesthesiologists rating, prefracture functional level with the FIM, and cognitive status with the Pfeiffer score.
The 1-year mortality for the 281 patients who were followed up was 21% (95% confidence interval [CI], 16.1%-25.9%). A non-weight-bearing status was associated with increased mortality in unadjusted analyses (hazard ratio [HR]=1.99; 95% CI, 1.16-3.43), but 5 other factors were identified when entered into the multiple Cox regression model: age (HR=1.05; 95% CI, 1-1.09), male sex (HR=2.92; 95% CI, 1.58-5.39), low health status (HR=2.8; 95% CI, 1.29-6.09), low prefracture function (HR=.98; 95% CI, .97-.99), and change of residence (HR=3.21; 95% CI, 1.43-7.17).
The overall 1-year mortality rate was 21%. Change of residence is the only potentially modifiable risk factor, independent of the following other traditional risk factors that were found: age, sex, health status, and prefracture functional level. Furthermore, 2 to 4 weeks of non-weight-bearing status, which is considered modifiable, is also associated with increased mortality rates in unadjusted analyses.
确定髋部骨折后接受手术的老年人的1年死亡率及诱发因素。
前瞻性队列研究。
公立急症医院,创伤科。
2009年1月至2010年1月因髋部骨折入院且年龄≥65岁的患者(N = 281),此后进行1年随访。
不适用。
通过Kaplan-Meier图表计算术后1年的累积生存概率,并采用Cox回归模型分析与死亡率相关的因素。数据从病历和访谈中收集。使用美国麻醉医师协会分级评估健康状况,用功能独立性测量量表(FIM)评估骨折前功能水平,用 Pfeiffer 评分评估认知状态。
281例接受随访患者的1年死亡率为21%(95%置信区间[CI],16.1% - 25.9%)。在未调整分析中,非负重状态与死亡率增加相关(风险比[HR] = 1.99;95% CI,1.16 - 3.43),但纳入多因素Cox回归模型时确定了其他5个因素:年龄(HR = 1.05;95% CI,1 - 1.09)、男性(HR = 2.92;95% CI,1.58 - 5.39)、健康状况差(HR = 2.8;95% CI,1.29 - 6.09)、骨折前功能水平低(HR = 0.98;95% CI,0.97 - 0.99)以及居住地变更(HR = 3.21;95% CI,1.43 - 7.17)。
总体1年死亡率为21%。居住地变更是唯一可能可改变的风险因素,独立于以下发现的其他传统风险因素:年龄、性别、健康状况和骨折前功能水平。此外,在未调整分析中,被认为可改变的2至4周非负重状态也与死亡率增加相关。