Alexiou Konstantinos, Koutalos Antonios A, Varitimidis Sokratis, Karachalios Theofilos, Malizos Konstantinos N
Department of Orthopaedic Surgery and Musculoskeletal Trauma, University General Hospital of Larissa, Larissa, Greece.
Department of Orthopaedic Surgery and Musculoskeletal Trauma, School of Health Sciences, Faculty of Medicine, University of Thessaly, Larissa, Greece.
Hip Pelvis. 2024 Jun 1;36(2):135-143. doi: 10.5371/hp.2024.36.2.135.
Hip fractures are associated with increased mortality. The identification of risk factors of mortality could improve patient care. The aim of the study was to identify risk factors of mortality after surgery for a hip fracture and construct a mortality model.
A cohort study was conducted on patients with hip fractures at two institutions. Five hundred and ninety-seven patients with hip fractures that were treated in the tertiary hospital, and another 147 patients that were treated in a secondary hospital. The perioperative data were collected from medical charts and interviews. Functional Assessment Measure score, Short Form-12 and mortality were recorded at 12 months. Patients and surgery variables that were associated with increased mortality were used to develop a mortality model.
Mortality for the whole cohort was 19.4% at one year. From the variables tested only age >80 years, American Society of Anesthesiologists category, time to surgery (>48 hours), Charlson comorbidity index, sex, use of anti-coagulants, and body mass index <25 kg/m were associated with increased mortality and used to construct the mortality model. The area under the curve for the prediction model was 0.814. Functional outcome at one year was similar to preoperative status, even though their level of physical function dropped after the hip surgery and slowly recovered.
The mortality prediction model that was developed in this study calculates the risk of death at one year for patients with hip fractures, is simple, and could detect high risk patients that need special management.
髋部骨折与死亡率增加相关。识别死亡风险因素可改善患者护理。本研究的目的是确定髋部骨折手术后的死亡风险因素并构建死亡模型。
对两家机构的髋部骨折患者进行了一项队列研究。597例髋部骨折患者在三级医院接受治疗,另有147例患者在二级医院接受治疗。围手术期数据通过病历和访谈收集。在12个月时记录功能评估量表评分、简明健康调查简表12以及死亡率。将与死亡率增加相关的患者和手术变量用于构建死亡模型。
整个队列一年时的死亡率为19.4%。在所测试的变量中,只有年龄>80岁、美国麻醉医师协会分级、手术时间(>48小时)、查尔森合并症指数、性别、抗凝剂使用情况以及体重指数<25kg/m²与死亡率增加相关,并用于构建死亡模型。预测模型的曲线下面积为0.814。尽管髋部手术后身体功能水平下降并缓慢恢复,但一年时的功能结局与术前状态相似。
本研究中开发的死亡预测模型可计算髋部骨折患者一年时的死亡风险,该模型简单,能够识别需要特殊管理的高危患者。