Development of Prediction Model for 1-year Mortality after Hip Fracture Surgery.

Konstantinos Alexiou, Antonios A Koutalos, Sokratis Varitimidis, Theofilos Karachalios, Konstantinos N Malizos
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Abstract

Purpose: 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.

Materials and methods: 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.

Results: 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/m2 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.

Conclusion: 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.

开发髋部骨折术后 1 年死亡率预测模型
目的:髋部骨折会增加死亡率。确定死亡率的风险因素可以改善患者护理。本研究旨在确定髋部骨折术后死亡率的风险因素,并构建死亡率模型:对两家医院的髋部骨折患者进行了一项队列研究。其中597名髋部骨折患者在三级医院接受治疗,另外147名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。记录了12个月的功能评估评分、简表-12和死亡率。利用与死亡率增加相关的患者和手术变量建立了死亡率模型:结果:整个组群一年后的死亡率为 19.4%。在测试的变量中,只有年龄大于 80 岁、美国麻醉医师协会类别、手术时间(大于 48 小时)、Charlson 合并症指数、性别、使用抗凝剂和体重指数 2 与死亡率增加有关,并被用于构建死亡率模型。预测模型的曲线下面积为 0.814。尽管患者的身体功能水平在髋关节手术后下降并缓慢恢复,但一年后的功能结果与术前相似:本研究建立的死亡率预测模型可计算髋部骨折患者一年后的死亡风险,该模型简单易用,可发现需要特殊处理的高风险患者。
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